Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning nouns and verbs in a foreign language: The role of gestures

ABSTRACT We evaluated the impact of gestures on second language (L2) vocabulary learning with nouns (Experiment 1) and verbs (Experiment 2). Four training methods were compared: the learning of L2 words with congruent gestures, incongruent gestures, meaningless gestures, and no gestures. Better vocabulary learning was found in both experiments when participants learned L2 words with congruent gestures relative to the no gesture condition. This result indicates that gestures have a positive effect on L2 learning when there is a match between the word meaning and the gesture. However, the recall of words in the incongruent and meaningless gesture conditions was lower than that of the no gesture condition. This suggests that gestures might have a negative impact on L2 learning. The facilitation and interference effects we found with the use of gestures in L2 vocabulary acquisition are discussed.
Fusion of high spatial resolution optical and polarimetric SAR images for urban land cover classification

In this paper, we proposed a new strategy for urban land cover classification by fusing high spatial resolution optical images and polarimetric SAR images. The novelty of strategy was in twofold: introduce an object-based classification method to alleviate the negative impact of inner class variability of high spatial resolution images in urban areas and geometric differences between the SAR and optical image; construct a fuzzy model to fuse features with different properties and ranges. Experiments were carried out to validate the strategy by using eCognition8.0. 1m RGB airborne images and 4m quad-polarization RADARSAT-2 images in Zhangye City, Gansu Province were used. Both of the images were acquired in July 2012. Results indicated that the optical image shows good performance at extracting land covers with distint spectral features such as natural vegetation, while the SAR image is better at differentiating several other land covers with similar spectral identities. For example, the introduction of polarimetric SAR features clearly improve the classification accuracy of bare soil and buildings by about 5%-10%, and also help the separation of artificial and natural vegetation to some extent. The overall classification accuracy increases from 85% to 88.18%. Based on object-based classification and fuzzy deduction, the proposed strategy proves a promising tool in fusing SAR and optical images to extract urban land cover.
A Roadmap Towards Versatile MIR

Most MIR systems are specifically designed for one application and one cultural context and suffer from the semantic gap between the data and the application. Advances in the theory of Bayesian language and information processing enable the vision of a versatile, meaningful and accurate MIR system integrating all levels of information. We propose a roadmap to collectively achieve this vision.
On the Structure of Finite Integral Commutative Residuated Chains

Among the class of finite integral commutative residuated chains (ICRCs), we identify those algebras which can be obtained as a nuclear retraction of a conuclear contraction of a totally ordered Abelian -group. We call the ICRCs satisfying this condition regular. Then we discuss the structure of finite regular ICRCs. Finally, we prove that the class of regular members generate a strictly smaller variety than the variety generated by ICRCs.
Particle filters with independent resampling

In many signal processing applications we aim to track a state of interest given available observations. Among existing techniques, sequential Monte Carlo filters are importance sampling-based algorithms meant to propagate in time a set of weighted particles which represent the a posteriori density of interest. As is well known weights tend to degenerate over time, and resampling is a commonly used rescue for discarding particles with low weight. Unfortunately conditionally independent resampling produces a set of dependent samples and the technique suffers from sample impoverishment. In this paper we modify the resampling step of particle filtering techniques in order to produce independent samples per iteration. We validate our technique via simulations.
On Attractive Factor of BA Network Evolving Model

The BA model and BA extend model described the number of nodes linked, but they are believe the nodes have the highest number of links if the timeframe is enough long. However, the real system not only depend on timeframe, hence, we proposed a new network evolving model which has attractive factor, the number of links of nodes have relate with attractive factor. If new nodes have enough attractive factors, it can acquire the highest number of links in short time, so it can beyond the old node. The evolving progress of model is simulated by computer, the degree distribution, clustering, average path of BA model and attractive factor model are gotten in the same network scale. The simulation results indicate the degree distribution of nodes under attractive factor present power-law distribution, which has similar with BA model. The correctness of theory is verified by simulation analyses.
Rostral Prefrontal Cortex and the Focus of Attention in Prospective Memory

Prospective memory (PM) denotes the function to realize intentions after a delay while being immersed in distracting ongoing (OG) activity. Here, we scrutinize the often-reported involvement of rostral prefrontal cortex (rPFC; approximating Brodmann area 10) in such situations: This region might mediate attention between external stimuli and the internally maintained intention, that is, between stimulus-oriented (SO) and stimulus-independent (SI) processing. Using functional magnetic resonance imaging (fMRI) we orthogonally crossed 1) PM versus OG activity only, with 2) SO versus SI attention. In support of the hypothesis, common regions of medial rPFC exhibited greater blood oxygen level-dependent (BOLD) signal for the contrasts of both OG task only versus PM and SO versus SI attending. However, activation related to the former contrast extended more superiorly, suggesting a functional gradient along a dorsal-ventral axis within this region. Moreover, region-of-interest analyses revealed that PM versus OG task only was associated with greater BOLD signal in left lateral rPFC, reflecting the requirement to maintain delayed intentions. Distinct aspects of this region were also transiently engaged at transitions between SO and SI conditions. These results are consistent with the hypothesis that some of the rostral prefrontal signal changes associated with PM performance reflect relative differences in SO versus SI processing.
MP24-02 CLINICAL UTILITY OF CONFIRMMDX FOR PROSTATE CANCER IN A COMMUNITY UROLOGY PRACTICE

INTRODUCTION AND OBJECTIVES: There is an unmet need for methods to better identify patients most likely to benefit from repeat prostate biopsy after an initial negative biopsy. ConfirmMDx is a molecular test clinically validated for detection of prostate cancer (PCa) in tissue from PCa-negative biopsies. In this clinical utility study, we evaluated the impact of ConfirmMDx on the management of patients being considered for repeat prostate biopsy in a community urology practice. METHODS: The study population consisted of 605 men with a prior PCa-negative prostate biopsy, who were counseled on the need to undergo repeat biopsy at a large community urology practice due to persistent elevated risk of PCa. All tissue cores from each PCa-negative patient were tested with the ConfirmMDx methylation-specific PCR test, and positive or negative ConfirmMDx results based on the presence or absence of GSTP1, APC or RASSF1 methylation in the biopsy tissue. ConfirmMDx results were provided to the physician for use in repeat biopsy decision-making. Medical record review was conducted at a minimum of nine months after ConfirmMDx results were reported. RESULTS: Of the 605 subjects enrolled, 308 (51%) had a negative ConfirmMDx test result and 297 (49%) were positive. For the entire study population, average age was 64 (median 64, interquartile range 59 to 69), average serum PSA level 6.8 ng/mL (5.7, 4.3 to 8.1). The median follow-up for both Confirm positives and negatives was 10 months post-testing. Repeat biopsy rates for ConfirmMDx positive and negative men were 32.3% (96/297) and 5.8% (15/308), respectively (P<0.001). For patients who received a biopsy during the follow-up period, the time between ConfirmMDx and repeat biopsy was shorter for ConfirmMDx positive men versus ConfirmMDx negatives (median 4 vs. 8 months, P=0.007). CONCLUSIONS: In this utility study, ConfirmMDx had a significant impact on repeat prostate biopsy decision-making in a U.S. community urology setting. Repeat biopsy rates in ConfirmMDx positive men were six-fold higher than in ConfirmMDx negatives. These results reflect the clinical utility of ConfirmMDx for biopsy decision-making in real world clinical practice. Source of Funding: MDxHealth
Parallel ID3 Algorithm Based on Granular Computing and Hadoop

Large data processing has become a hot topic of current research. How to efficiently dig out useful information from large amounts of data has become an important research direction in the field of data mining. In this paper, firstly, based on the idea of granular computing, some granular concepts about the decision tree are introduced. Secondly, refer- ring to granular computing, the improvement and parallelization of ID3 algorithms are presented. Finally, the proposed algorithms are tested on two data sets, and it can be concluded that the algorithm's classification accuracy is improved. From the test on a Hadoop platform, the results demonstrate that parallel algorithms can efficiently process massive da- tasets.
High-altitude platforms for wireless communications

The demand for high-capacity wireless services is bringing increasing challenges, especially for delivery of the “last mile”. Terrestrially, the need for line-of-sight propagation paths represents a constraint unless very large numbers of base-station masts are deployed, while satellite systems have capacity limitations. An emerging solution is offered by high-altitude platforms (HAPs) operating in the stratosphere at altitudes of up to 22 km to provide communication facilities that can exploit the best features of both terrestrial and satellite schemes. This paper outlines the application and features of HAPs, and some specific development programmes. Particular consideration is given to the use of HAPs for delivery of future broadband wireless communications.
Mixed-mode multicore reliability

Future processors are expected to observe increasing rates of hardware faults. Using Dual-Modular Redundancy (DMR), two cores of a multicore can be loosely coupled to redundantly execute a single software thread, providing very high coverage from many difference sources of faults. This reliability, however, comes at a high price in terms of per-thread IPC and overall system throughput. We make the observation that a user may want to run both applications requiring high reliability, such as financial software, and more fault tolerant applications requiring high performance, such as media or web software, on the same machine at the same time. Yet a traditional DMR system must fully operate in redundant mode whenever any application requires high reliability. This paper proposes a Mixed-Mode Multicore (MMM), which enables most applications, including the system software, to run with high reliability in DMR mode, while applications that need high performance can avoid the penalty of DMR. Though conceptually simple, two key challenges arise: 1) care must be taken to protect reliable applications from any faults occurring to applications running in high performance mode, and 2) the desire to execute additional independent software threads for a performance application complicates the scheduling of computation to cores. After solving these issues, an MMM is shown to improve overall system performance, compared to a traditional DMR system, by approximately 2X when one reliable and one performance application are concurrently executing.
Subspace-based noise variance and SNR estimation for OFDM systems [mobile radio applications]

Noise variance and hence signal to noise ratio (SNR) estimates are very important for the channel quality control in communication systems. Noting that in mobile communications the multipath time delays are slowly varying in time, in this paper we derive a subspace-based estimation method for orthogonal frequency division multiplexing (OFDM) systems, which is based on an eigenvector decomposition of the estimated channel correlation matrix. Simulation results show that the proposed estimator can obtain accurate real time measurements of the noise variance and SNR after an observation interval of about 20 OFDM symbols for various fading channels.
Cognitive Speed of Processing Training Can Promote Community Mobility among Older Adults: A Brief Review

Background. Community mobility is crucial for maintaining independent functioning and quality of life for older adults. Purpose. The present paper describes the relationship of cognition, particularly speed of processing as measured by the Useful Field of View Test, to mobility as indicated by driving behaviors, life space, and falls among healthy older adults. Research examining the impact of cognitive speed of processing training (SOPT) on older adults' community mobility (i.e., driving behaviors) is also summarized. Key Issues. Even slight cognitive declines can place older adults at risk for mobility limitations. However, cognitive interventions like SOPT can mitigate declines in driving mobility. Implications. The potential of SOPT to sustain community mobility among older adults is discussed.
Achieving High Quality Factor Without Vacuum Packaging by High Density Proof Mass Integration in Vibration Energy Harvesters

This paper presents a simple approach to control fluidic damping, and thereby improve the mechanical quality factor at ambient pressure, of AlN-based piezoelectric resonant energy harvesters by using high density proof masses. Using models adapted from the literature, and accounting for the simultaneous transverse and rotational motion of the cantilever beam, scaling laws are extracted for the fluidic quality factor, <inline-formula> <tex-math notation="LaTeX">${Q}_{\mathrm {f}}$ </tex-math></inline-formula>, as a function of the fluid damping regime, either due to drag or squeeze film forces. Subsequently, we demonstrate the utility of the scaling laws by characterizing silicon-based devices and tungsten tip masses. By accounting for other damping sources and the device operating frequency, we achieve close to an order of magnitude improvement on <inline-formula> <tex-math notation="LaTeX">${Q}_{\mathrm {f}}$ </tex-math></inline-formula> with this strategy, going from 398 to 4193. Beside potential for footprint reductions and higher power outputs, these results suggest that high density proof mass integration can be an alternative to vacuum packaging for MEMS based vibration energy harvesting.
Physical activity, social isolation and loneliness in later life : a focus on rural areas in the UK

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Improved Parameter Estimation for Variance-stabilizing Transformation of Gene-expression Microarray Data

A gene-expression microarray datum is modeled as an exponential expression signal (log-normal distribution) and additive noise. Variance-stabilizing transformation based on this model is useful for improving the uniformity of variance, which is often assumed for conventional statistical analysis methods. However, the existing method of estimating transformation parameters may not be perfect because of poor management of outliers. By employing an information normalization technique, we have developed an improved parameter estimation method, which enables statistically more straightforward outlier exclusion and works well even in the case of small sample size. Validation of this method with experimental data has suggested that it is superior to the conventional method.
Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study

Background Eosinophil and lymphocyte counts are commonly performed in clinical practice. Previous studies provide conflicting evidence of association with cardiovascular diseases. Methods We used linked primary care, hospitalisation, disease registry and mortality data in England (the CALIBER (CArdiovascular disease research using LInked Bespoke studies and Electronic health Records) programme). We included people aged 30 or older without cardiovascular disease at baseline, and used Cox models to estimate cause-specific HRs for the association of eosinophil or lymphocyte counts with the first occurrence of cardiovascular disease. Results The cohort comprised 775 231 individuals, of whom 55 004 presented with cardiovascular disease over median follow-up 3.8 years. Over the first 6 months, there was a strong association of low eosinophil counts (<0.05 compared with 0.15–0.25×109/L) with heart failure (adjusted HR 2.05; 95% CI 1.72 to 2.43), unheralded coronary death (HR 1.94, 95% CI 1.40 to 2.69), ventricular arrhythmia/sudden cardiac death and subarachnoid haemorrhage, but not angina, non-fatal myocardial infarction, transient ischaemic attack, ischaemic stroke, haemorrhagic stroke, subarachnoid haemorrhage or abdominal aortic aneurysm. Low eosinophil count was inversely associated with peripheral arterial disease (HR 0.63, 95% CI 0.44 to 0.89). There were similar associations with low lymphocyte counts (<1.45 vs 1.85–2.15×109/L); adjusted HR over the first 6 months for heart failure was 2.25 (95% CI 1.90 to 2.67). Associations beyond the first 6 months were weaker. Conclusions Low eosinophil counts and low lymphocyte counts in the general population are associated with increased short-term incidence of heart failure and coronary death. Trial registration number NCT02014610; results.
On the Integration of Data Stream Clustering into a Query Processor for Wireless Sensor Networks

We discuss the integration of on-line data stream clustering into a distributed query processor for wireless sensor networks (WSNs). Our approach is to combine an adaptive clustering algorithm with in-network data processing by introducing specialised query operators that implement stateful stream processing. We have implemented a testbed for an on-line clustering algorithm as part of a query processing system for the Sun SPOT sensor network platform. The paper discusses the design alternatives for continuous stream clustering in WSNs and for the integration of the resource-awareness to be able to trade result accuracy for resource consumption.
Simultaneous coinfection with Cryptococcus neoformans and Mycobacterium tuberculosis in an adult

### Learning Point for Clinicians Simultaneous coinfection with Cryptococcus neoformans and Mycobacterium tuberculosis was seldom reported. We present a case of tuberculous lymphadenopathy concomitant with pulmonary cryptococcus infection. Prompt investigation for other occult infection should be conducted if the clinical response is insufficient during administration of the appropriate antimicrobial treatment. A previously healthy 58-year-old woman experienced fever and productive cough with yellowish sputum 2 weeks prior to admission. Empiric antibiotic therapy with flomoxef was prescribed, but intermittent fever was still noted. On admission, vital signs were as follows: blood pressure, 126/68 mm Hg; pulse rate, 92 beats/min; respiration rate, 18 breaths/min, and body temperature, 38.6°C. Complete blood counts showed leukocytosis with predominant neutrophils. No gross hematuria or pyuria was indicated by the urinary analysis results. Biochemical analysis results were within the normal range, but the C-reactive protein level was elevated. Physical examination revealed an enlarged level III neck lymph node on left side, which was …
Ionization and dissociation equilibrium in strongly magnetized helium atmosphere

Recent observations and theoretical investigations of neutron stars indicate that their atmospheres consist not of hydrogen or iron but possibly other elements such as helium. We calculate the ionization and dissociation equilibrium of helium in the conditions found in the atmospheres of magnetized neutron stars. For the first time, this investigation includes the internal degrees of freedom of the helium molecule. We found that at the temperatures and densities of neutron star atmospheres, the rotovibrational excitations of helium molecules are populated. Including these excitations increases the expected abundance of molecules by up to two orders of magnitude relative to calculations that ignore the internal states of the molecule; therefore, if the atmospheres of neutron stars indeed consist of helium, helium molecules and possibly polymers will make the bulk of the atmosphere and leave signatures on the observed spectra from neutron stars. We applied our calculation to nearby radio-quiet neutron stars (RQNS) with B dipole ∼ 10 13 -10 14 G. If helium comprises their atmospheres, our study indicates that isolated neutron stars with T BB ∼ 10 6 K such as RX J0720.4-3125 and RX J1605.3+3249 will have He + ions predominantly, while isolated neutron stars with lower temperature (T BB ∼ 5 x 10 5 K) such as RX J1856.5-3754 and RX J0420.0-5022 will have some fraction of helium molecules. We found that ionization, dissociation and electric excitation energies of helium molecules are larger than 100 eV at B 2≥ 10 13 G. On the other hand, rotovibrational excitation energies are in the range of 10-100 eV at B = 10 12 -10 14 G. If helium molecules are abundant, their spectroscopic signatures may be detected in the optical, ultraviolet and X-ray band.
Dynamic 2.5D treemaps using declarative 3D on the web

The 2.5D treemap represents a general purpose visualization technique to map multi-variate hierarchical data in a scalable, interactive, and consistent way used in a number of application fields. In this paper, we explore the capabilities of Declarative 3D for the web-based implementation of 2.5D treemap clients. Particularly, we investigate how X3DOM and XML3D can be used to implement clients with equivalent features that interactively display 2.5D treemaps with dynamic mapping of attributes. We also show a first step towards a glTF-based implementation. These approaches are benchmarked focusing on their interaction capabilities with respect to rendering and speed of dynamic data mapping. We discuss the results for our representative example of a complex 3D interactive visualization technique and summerize recommendations for improvements towards operational web clients.
Traitor tracing schemes for protected software implementations

This paper considers the problem of converting an encryption scheme into a scheme in which there is one encryption process but several decryption processes. Each decryption process is made available as a protected software implementation (decoder). So, when some digital content is encrypted, a legitimate user can recover the content in clear using its own private software implementation. Moreover, it is possible to trace a decoder in a black-box fashion in case it is suspected to be an illegal copy. Our conversions assume software tamper-resistance.