Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel location privacy protection strategies for Location-Based Services

The usage of Location-Based Services (LBS) holds a potential privacy issue when people exchange their locations for information relative to these locations. While most people perceive these information exchange services as useful, others do not, because an adversary might take advantage of the users' sensitive data. In this paper, we propose k-path, an algorithm for privacy protection for continuous location tracking-typed LBS. We take inspiration in k-anonymity to hide the user location or trajectory among k locations or trajectories. We introduce our simulator as a tool to test several strategies to hide users' locations. Afterwards, this paper will give an evaluation about the effectiveness of several approaches by using the simulator and data provided by the GeoLife data set.
Phenotypic and Genotypic Events in Gastric Carcinogenesis 1

Two main histolÃ3gica! variants of gastric carcinoma have been identi fied: intestinal and diffuse types. The former is preceded by a sequential chain of events characterized as chronic gastritis, atrophy, intestinal metaplasia, dysplasia, intramucosal carcinoma, and invasive neoplasia. The second type (diffuse) lacks well-recognized precursor changes. Geno typic events in the gastric precancerous process are described, but a clear model of their sequence and relevance is lacking. Cadherins may play a role in determining which type of carcinoma develops. Translocated pro moter region\//-. "/'rearrangements have been identified since early stages of the process. p53 alterations are reported beginning with the dysplasia stage utilizing immunohistochemical techniques. Single-strand conforma tion polymorphism and sequencing analysis show alterations in early stages, especially (>:C to A:T transitions.
What lies beneath: A comparison of reading aloud in pure alexia and semantic dementia

Exaggerated effects of word length upon reading-aloud performance define pure alexia, but have also been observed in semantic dementia. Some researchers have proposed a reading-specific account, whereby performance in these two disorders reflects the same cause: impaired orthographic processing. In contrast, according to the primary systems view of acquired reading disorders, pure alexia results from a basic visual processing deficit, whereas degraded semantic knowledge undermines reading performance in semantic dementia. To explore the source of reading deficits in these two disorders, we compared the reading performance of 10 pure alexic and 10 semantic dementia patients, matched in terms of overall severity of reading deficit. The results revealed comparable frequency effects on reading accuracy, but weaker effects of regularity in pure alexia than in semantic dementia. Analysis of error types revealed a higher rate of letter-based errors and a lower rate of regularization responses in pure alexia than in semantic dementia. Error responses were most often words in pure alexia but most often nonwords in semantic dementia. Although all patients made some letter substitution errors, these were characterized by visual similarity in pure alexia and phonological similarity in semantic dementia. Overall, the data indicate that the reading deficits in pure alexia and semantic dementia arise from impairments of visual processing and knowledge of word meaning, respectively. The locus and mechanisms of these impairments are placed within the context of current connectionist models of reading.
BOLAS: Bipartite-Graph Oriented Locality-Aware Scheduling for MapReduce Tasks

Task scheduling is critical to reduce the make span of MapReduce jobs. It is an effective approach for scheduling optimization by improving the data locality, which involves attempting to locate a task and its related data block on the same node. However, recent studies have been insufficient in addressing the locality issue. This paper proposes BOLAS, a MapReducetask scheduling algorithm, which models the scheduling processes a bipartite-graph matching problem trying best to assign data block to the nearest task. By considering the divergence of node performance of distribution of data blocks in MapReduce cluster, BOLAS can achieve a high degree of data locality, guarantee minimal data transfer during execution, and reduces a job's makespan subsequently. As a dynamic algorithm, BOLAS solves the model using Kuhn-Munkres optimal matching algorithm, and can be deployed in either homogeneous or heterogeneous environments. In this study, BOLAS was implemented as a plug in for Hadoop, and the experimental results indicate that BOLAScan localize nearly 100% of the map tasks and reduce the execution time by up to 67.1%.
Size-Mediated Tradeoffs in Life-History Traits in Dusky Salamanders

Among salamanders of the genus Desmognathus, the larger species tend to be more aquatic and the smaller more terrestrial. I studied life histories in assemblages of Desmognathus in the southern Blue Ridge Mountains of North Carolina at sites in the Cowee and southern Nantahala Mountains. Traits evaluated included mortality/survival, age at first reproduction, fecundity, and body size. The first three are direct fitness traits that enter into the characteristic equation, x = &agr;&Sgr;∞lxmxe−rx = 1.0. One assemblage (Wolf Creek), in the Cowee Mountains, comprises three species, from larger to smaller, D. quadramaculatus, D. monticola, and D. ocoee. A second assemblage (Coweeta Creek), in the Nantahala Mountains, also includes D. quadramaculatus, D. monticola, and D. ocoee, as well as the smaller D. aeneus and D. wrighti. I also studied three species only (D. ocoee, D. aeneus, D. wrighti) in an assemblage of six species (Nantahala River) in the Nantahala Mountains just west of Coweeta Creek. In these assemblages, age at first reproduction and fecundity are greater in the larger, more aquatic species. Instantaneous mortality rate is lower in the larger species; however, the latter have lower survival to first reproduction than the smaller species because developmental time to sexual maturation is lengthier than in the smaller species. Among species, it appears that size-mediated tradeoffs exist among age at sexual maturation, fecundity, and survival. The tradeoff relationships of life-history traits among species in both the Cowee and Nantahala assemblages may reflect fitness invariance or symmetry, perhaps stemming from design constraints in the genus Desmognathus. What remain unclear are factors contributing to the correlation between body size and the position of species along the stream-to-forest habitat gradient.
Hierarchical chunking-phrase based translation

We present a statistical machine translation system which uses hierarchical chunking phrases (HCPB). The system can be seen as combination with fundamental ideas from both syntax-based translation and phrase-based translation, because the model not only complies with formal synchronous context-free grammar but also learned partial parsing knowledge CRF (conditional random fields) method. The decoder for HCPB MT system is based on chart-based CKY algorithm , and integrates N-gram language model effectively. Currently, this paper is focused on the research of Chinese-English spoken language translation. According to our final experiments, our method achieves a higher accuracy in the final results with BLEU and NIST score in 1WSLT2005.
High efficiency resonant dc/dc converter utilizing a resistance compression network

This paper presents a new topology for a high efficiency dc/dc resonant power converter that utilizes a resistance compression network to provide simultaneous zero voltage switching and near zero current switching across a wide range of input voltage, output voltage and power levels. The resistance compression network (RCN) maintains desired current waveforms over a wide range of voltage operating conditions. The use of on/off control in conjunction with narrowband frequency control enables high efficiency to be maintained across a wide range of power levels. The converter implementation provides galvanic isolation and enables large (greater than 1:10) voltage conversion ratios, making the system suitable for large step-up conversion in applications such as distributed photovoltaic converters. Experimental results from a 200 W prototype operating at 500 kHz show that over 95% efficiency is maintained across an input voltage range of 25 V to 40 V with an output voltage of 400 V. It is also shown that the converter operates very efficiently over a wide output voltage range of 250 V to 400 V, and a wide output power range of 20 W to 200 W. These experimental results demonstrate the effectiveness of the proposed design.
Performance Tradeoff for Cooperative Spectrum Sensing in Cognitive Radio Networks

In cognitive radio networks, multiple cognitive radio nodes perform spectrum sensing cooperatively in order to detect the primary user more accurately. Previous works on cooperative spectrum sensing have shown that the detection performance can be improved through increasing either the observation interval or the number of the sensing nodes. However, increasing the observation interval will result in the reduction of transmit efficiency and the agility of cognitive users, and at the same time increasing the number of sensing nodes may lead to the overhead increase of control channel and computational complexity. In this paper, we formulate the tradeoff relation between the observation interval and the number of the sensing nodes under the constraint of required detection performance. The numerical results show the proposed relation.
Reducing power dissipation after technology mapping by structural transformations

Due to the increasing demand for low power circuits, low power dissipation has emerged as an important optimization goal in logic synthesis. In this paper, we show that the power dissipation of technology mapped circuits can be significantly reduced by ATPG-based structural transformations. Our approach performs a sequence of permissible signal substitutions, where each substitution reduces the power consumption of the circuit. Since timing constraints can be considered, we achieve a trade-off between power and delay. The effectiveness of the proposed method is based on two facts. First, the power models for library gates are reasonably accurate. Thus, the power savings achieved by transformations of mapped circuits are also well modeled. Second, ATPG-based structural transformations effectively exploit don't care conditions after technology mapping even for large circuits. Experimental results show power reductions of 26% on average with no area penalty. Substantial power reductions are also achieved if timing constraints are considered.
The Use of BSN for Whole Body Motion Training for a Humanoid Robot

Sensor based motion capture system enables motion analysis with applications ranging from entertainment, healthcare and robotics. It can provide an intuitive interface for human to provide motion training and control a humanoid robot. In this paper, we propose a novel framework for the imitation of human motion for a humanoid robot. In the proposed framework, human motion data is directly captured from a wireless, wearable motion capture platform (Biomotion+). The reconstructed posture is then converted into joint angle trajectories. Due to the structural differences between the joints of the robot and those of the human, the trajectories are then optimized to satisfy the mechanical constraints of the robot and to maintain appropriate balance. To validate the proposed framework, different motion trajectories were verified. The results demonstrate the stability and effectiveness of the proposed framework to reproduce realistic human motion for a humanoid robot and the potential for a tele-rehabilitation application. The proposed framework offers a new way of imitating human motion for a humanoid robot.
DETC 99 / DAC-8640 CONTROL BARRIERS OF POSITIONING MANIPULATORS

Broadly applicable formulations for identifying control difficulties in positioning serial manipulators are developed based on the Implicit Function Theorem and acceleration analyses on singular surfaces. As a result, voids in the workspace are also identified. Rank deficiency conditions are applied to the positioning Jacobian with joint constraints included in the formulation. Geometric entities upon which the manipulator exhibits control difficulties are identified. These difficulties are associated with a admissible motion along a vector normal to the singular geometric entities. Definiteness properties of a quadratic form that is as a result of normal acceleration define control difficulties. Numerical examples are illustrated. 1. INTRODUCTION Control barriers are those surfaces inside the workspace upon which a difficulty in the manipulator's output control is observed. These barriers are associated with restrictions on the output motion control of the end-effector. The purpose of this paper is to analytically identify barriers to output control of serial manipulators, conditions under which difficulties may occur, and to identify voids in the workspace. Singular behavior of manipulators has been addressed by many researchers Wang and Waldron (1987) and Waldron, et al. (1985), stated that as the Jacobian of the manipulator becomes singular, its columns, which are screw quantities, do not span the full rank of the matrix, therefore, the Jacobian rank decreases by at least one. The proof of the null-space
Stroke and Falls—Clash of the Two Titans in Geriatrics

Both stroke and falls are common conditions affecting the older adult. Despite stroke being considered a well-established major risk factor for falls, there remains no evidence for effective prevention strategies for falls specifically for stroke survivors. Previous observational studies evaluating falls risk factors in stroke have mainly been uncontrolled and found similar risk factors for stroke populations compared to general older populations. Specific risk factors, however, are likely to play a greater role in stroke survivors including unilateral weakness, hemisensory or visual neglect, impaired coordination, visual field defects, perceptual difficulties and cognitive issues. In addition, individuals with stroke are also more likely to have other associated risk factors for falls including diabetes, falls risk increasing drugs, atrial fibrillation, and other cardiovascular risk factors. While anticoagulation is associated with increased risk of intracranial bleeding after a fall, the risk of suffering a further stroke due to atrial fibrillation outweigh the risk of bleeding from a recurrent fall. Similarly, while blood pressure lowering medications may be linked to orthostatic hypotension which in turn increases the risk of falls, the benefit of good blood pressure control in terms of secondary stroke prevention outweighs the risk of falls. Until better evidence is available, the suggested management approach should then be based on local resources, and published evidence for fall prevention. Multicomponent exercise and individually tailored multifactorial interventions should still be considered as published evidence evaluating the above have included stroke patients in their study population.
FPGA Implementation of Adaptive Weight Calculation Core Using QRD-RLS Algorithm A

Xilinx Virtex4 SX FPGA. We show that our core is significantly faster than other published FPGA implementations and it requires fewer resources. This is largely a consequence of careful error analysis that allows us to take advantage of a fixed point data representation with little degradation in the final results. Finally, our proposed architecture scales well for larger size matrices.
An Automatic Punctuation Marks System For Arabic Texts

This work presents a system for Automatic Arabic punctuation marks. Existing approaches for automatic punctuation marks do not provide suit able performance for and do not satisfy user intere s s in Arabic texts. The importance and rising need to automate the correct insertion of punctuation marks in Arabic texts led to a need of specific analysis of the Arabic language to introduce approaches that su ite the characteristics of the Arabic language. In this paper, we propose an automatic Arabic punctuation mark system based on Arabic text rules. The propose d automated Arabic punctuation mark system is intended for testing, detecting, and placing the co rrect punctuation marks in the correct place in str ipped Arabic sentences. An experiment to evaluate the per formance of the system has been conducted using various Arabic texts.
Experiences on sensor fusion with commonsense reasoning

Multi-modal sensor fusion recently became a widespread technique to provide pervasive services with context-recognition capabilities. However, classifiers commonly used to implement this technique are still far from being perfect. Thus, fusion algorithms able to deal with significant inaccuracies are required. In this paper we present preliminary results obtained with a novel approach that combines diverse classifiers through commonsense reasoning. The approach maps classification labels produced by classifiers to concepts organized within the ConceptNet network. Then it verifies their semantic proximity by implementing a greedy sub-graph search algorithm. Specifically, different classifiers are fused together on a commonsense basis for both: (i) improving classification accuracy and (ii) dealing with missing labels. Experimental results are discussed through a real-world case study in which three classifiers are fused to recognize both user activities and locations.
Genotyping Hepatitis C Viruses from Southeast Asia by a Novel Line Probe Assay That Simultaneously Detects Core and 5′ Untranslated Regions

ABSTRACT Hepatitis C viruses (HCVs) display a high level of sequence diversity and are currently divided into six genotypes. A line probe assay (LiPA), which targets the 5′ untranslated region (5′UTR) of the HCV genome, is widely used for genotyping. However, this assay cannot distinguish many genotype 6 subtypes from genotype 1 due to high sequence similarity in the 5′UTR. We investigated the accuracy of a new generation LiPA (VERSANT HCV genotype 2.0 assay), in which genotyping is based on 5′UTR and core sequences, by testing 75 selected HCV RNA-positive sera from Southeast Asia (Vietnam and Thailand). For comparison, sera were tested on the 5′UTR based VERSANT HCV genotype assay and processed for sequence analysis of the 5′UTR-to-core and NS5b regions as well. Phylogenetic analysis of both regions revealed the presence of genotype 1, 2, 3, and 6 viruses. Using the new LiPA assay, genotypes 6c to 6l and 1a/b samples were more accurately genotyped than with the previous test only targeting the 5′UTR (96% versus 71%, respectively). These results indicate that the VERSANT HCV genotype 2.0 assay is able to discriminate genotypes 6c to 6l from genotype 1 and allows a more accurate identification of genotype 1a from 1b by using the genotype-specific core information.
Brain Activation in Generating Hypothesis about Biological Phenomena and the Processing of Mental Arithmetic: An fMRI Study

The purpose of this study is to investigate brain activity both during the processing of a scientific hypothesis about biological phenomena and mental arithmetic using 3.0T fMRI at the KAIST. For this study, 16 healthy male subjects participated voluntarily. Each subject's functional brain images by performing a scientific hypothesis task and a mental arithmetic task for 684 seconds were measured. After the fMRI measuring, verbal reports were collected to ensure the reliability of brain image data. This data, which were found to be adequate based on the results of analyzing verbal reports, were all included in the statistical analysis. When the data were statistically analyzed using SPM2 software, the scientific hypothesis generating process was found to have independent brain network different from the mental arithmetic process. In the scientific hypothesis process, we can infer that there is the process of encoding semantic derived from the fusiform gyrus through question-situation analysis in the pre-frontal lobe. In the mental arithmetic process, the area combining pre-frontal and parietal lobes plays an important role, and the parietal lobe is considered to be involved in skillfulness. In addition, the scientific hypothesis process was found to be accompanied by scientific emotion. These results enabled the examination of the scientific hypothesis process from the cognitive neuroscience perspective, and may be used as basic materials for developing a learning program for scientific hypothesis generation. In addition, this program can be proposed as a model of scientific brain-based learning.
Neurobiology of Disease Liver X Receptor Agonist Treatment Ameliorates Amyloid Pathology and Memory Deficits Caused by High-fat Diet in App23 Mice

High-fat diet and certain dietary patterns are associated with higher incidence of sporadic Alzheimer's disease (AD) and cognitive decline. However, no specific therapy has been suggested to ameliorate the negative effects of high fat/high cholesterol levels on cognition and amyloid pathology. Here we show that in 9-month-old APP23 mice, a high-fat/high-cholesterol (HF) diet provided for 4 months exacerbates the AD phenotype evaluated by behavioral, morphological, and biochemical assays. To examine the therapeutic potential of liver X receptor (LXR) ligands, APP23 mice were fed HF diet supplemented with synthetic LXR agonist T0901317 (T0). Our results demonstrate that LXR ligand treatment causes a significant reduction of memory deficits observed during both acquisition and retention phases of the Morris water maze. Moreover, the effects of T0 on cognition correlate with AD-like morphological and biochemical parameters. We found a significant decrease in amyloid plaque load, insoluble A␤ and soluble A␤ oligomers. In vitro experiments with primary glia demonstrate that Abca1 is essential for the proper lipidation of ApoE and mediates the effects of T0 on A␤ degradation by microglia. Microdi-alysis experiments performed on awake freely moving mice showed that T0 decreased A␤ levels in the interstitial fluid of the hippocampus, supporting the conclusion that this treatment increases A␤ clearance. The data presented conclusively shows that LXR activation in the context of a metabolic challenge has critical effects on AD phenotype progression by attenuating A␤ deposition and facilitating its clearance.