Miracle-dz/UniFAR-FTUs huggingface dataset:
Model-based context privacy for personal data streams

Smart phones with increased computation and sensing capabilities have enabled the growth of a new generation of applications which are organic and designed to react depending on the user contexts. These contexts typically define the personal, social, work and urban spaces of an individual and are derived from the underlying sensor measurements. The shared context streams therefore embed in them information, which when stitched together can reveal behavioral patterns and possible sensitive inferences, raising serious privacy concerns. In this paper, we propose a model based technique to capture the relationship between these contexts, and better understand the privacy implications of sharing them. We further demonstrate that by using a generative model of the context streams we can simultaneously meet the utility objectives of the context-aware applications while maintaining individual privacy. We present our current implementation which uses offline model learning with online inferencing performed on the smart phone. Preliminary results are presented to provide proof-of-concept of our proposed technique.
Collaborative product-service systems engineering: Towards an active role of customers and stakeholders in value co-creation

This paper provides a comprehensive analysis of how customers and other stakeholders can be involved in value co-creation activities in a collaborative Product-Service System (PSS) design and engineering process, and which of the existing engagement methods in the body of knowledge can be adopted in order to achieve their active participation in value co-creation. Furthermore, the paper aims to contribute to the evolution of PSS design and engineering approaches from customer-centric ones to a stakeholder centric co-creation perspective.
New Insights into the Immune Molecular Regulation of the Pathogenesis of Acute Respiratory Distress Syndrome

Acute respiratory distress syndrome is an inflammatory disease characterized by dysfunction of pulmonary epithelial and capillary endothelial cells, infiltration of alveolar macrophages and neutrophils, cell apoptosis, necroptosis, NETosis, and fibrosis. Inflammatory responses have key effects on every phase of acute respiratory distress syndrome. The severe inflammatory cascades impaired the regulation of vascular endothelial barrier and vascular permeability. Therefore, understanding the relationship between the molecular regulation of immune cells and the pulmonary microenvironment is critical for disease management. This article reviews the current clinical and basic research on the pathogenesis of acute respiratory distress syndrome, including information on the microenvironment, vascular endothelial barrier and immune mechanisms, to offer a strong foundation for developing therapeutic interventions.
Influences on emergency department length of stay for older people

Objective The aim of this study was to examine the influences on emergency department (ED) length of stay (LOS) for older people and develop a predictive model for an ED LOS more than 4 h. Methods This retrospective cohort study used organizational data linkage at the patient level from a major Australian health service. The study population was aged 65 years or older, attending an ED during the 2013/2014 financial year. We developed and internally validated a clinical prediction rule. Discriminatory performance of the model was evaluated by receiver operating characteristic (ROC) curve analysis. An integer-based risk score was developed using multivariate logistic regression. The risk score was evaluated using ROC analysis. Results There were 33 926 ED attendances: 57.5% (n=19 517) had an ED LOS more than 4 h. The area under ROC for age, usual accommodation, triage category, arrival by ambulance, arrival overnight, imaging, laboratory investigations, overcrowding, time to be seen by doctor, ED visits with admission and access block relating to ED LOS more than 4 h was 0.796, indicating good performance. In the validation set, area under ROC was 0.80, Hosmer–LemeshowP-value was 0.36 and prediction mean square error was 0.18, indicating good calibration. The risk score value attributed to each risk factor ranged from 2 to 68 points. The clinical prediction rule stratified patients into five levels of risk on the basis of the total risk score. Conclusion Objective identification of older people at intermediate and high risk of an ED LOS more than 4 h early in ED care enables targeted approaches to streamline the patient journey, decrease ED LOS and optimize emergency care for older people.
3D Action Recognition Using Depth-Based Feature and Locality-Constrained Affine Subspace Coding

We propose a 3D action recognition algorithm which uses depth-based Gradient Local Auto-Correlations (GLAC) feature and Locality-constrained Affine Subspace Coding (LASC) to improve the discriminative ability of human actions in spatio-temporal subsequences of 3D depth videos. First, each entire depth video sequence is divided automatically into a set of subsequences (i.e., multi-scale sub-actions) by the normalized motion energy vector. Next Depth Motion Maps (DMMs) based GLAC features are employed to capture the shape information and motion cues of each sub-action. In order to obtain a more compact and discriminative representation, LASC is then proposed to encode the features extracted from the depth video. We show that the use of LASC exhibits better performance compared to existing methods such as Locality-constrained Linear Coding (LLC). On all three datasets we obtain competitive results compared to fifteen methods, while using fewer features and less complex models.
Three Dimensional Monte Carlo Simulation of Microstructure Evolution in Presence of Pores for Three-Phase Nano-Composite Ceramic Tool Materials

A new three-dimensional Monte Carlo (MC) model in presence of pores of microstructure evolution for three-phase nano-composite ceramic tool materials is successfully established to simulate the grain growth during sintering process in this paper. The defect-free microstructure evolution and microstructure evolution in presence of pore are simulated and investigated. The results show that the new MC model can well simulate the grain growth and pores shrinkage during densification process. Compared with defect-free system, the grain growth velocity can be slow down obviously owning to the existence of pores.
Double resonant controller for fast atomic force microscopy

This paper presents the design and implementation of a double resonant controller with an integral controller in the piezoelectric tube scanner (PTS) of an atomic force microscope (AFM) to damp the resonant mode of the scanner, increase the bandwidth of the overall closed-loop system, and improve the high speed imaging performance of the AFM. The X and Y axes of the PTS is treated as an independent single-input singleoutput system and the system is identified by using the measured open-loop data. In order to measure the performance of the proposed controller a comparison of the scanned images have been made by using the proposed controller and the built-in proportional-integral (PI) controller of the AFM. The comparison of the scanned images demonstrate the performance improvement achieved by the proposed controller.
Sparsity preserving multiple canonical correlation analysis with visual emotion recognition to multi-feature fusion

Sparsity preserving projections (SPP) aim to preserve the sparse reconstructive relationship among the data and have been successfully applied to face recognition. The projections are invariant to rotations, rescalings, and translations of the data, and more importantly, they contain natural discriminating information even without class labels. Based on the concept of SSP, it presents a new method for multi-feature information fusion based on the Sparsity Preserving Multiple Canonical Correlation Analysis (SPMCCA), which can preserve the sparse reconstructive relationship of the data for recognition from multi-feature information representation. We implement a prototype of SPM-CCA with the application to visual-based human emotion recognition. Experimental results show that the proposed method outperforms the traditional methods of serial fusion, Canonical Correlation Analysis (CCA), Multiple Canonical Correlation Analysis (MCCA) and recently proposed Sparsity Preserving Canonical Correlation Analysis (SPCCA).
Cardiovascular events after ischemic stroke in young adults

Objectives: To study the long-term risk of recurrent cardiac, arterial, and venous events in young stroke patients, and whether these risks differed between etiologic subgroups. Methods: The study population comprised 970 patients aged 15–49 years from the Helsinki Young Stroke Registry (HYSR) who had an ischemic stroke in 1994–2007. We obtained follow-up data until 2012 from the Finnish Care Register and Statistics Finland. Cumulative 15-year risks were analyzed with life tables, whereas relative risks and corresponding confidence intervals (CI) were based on hazard ratios (HR) from Cox regression analyses. Results: There were 283 (29.2%) patients with a cardiovascular event during the median follow-up of 10.1 years (range 0.1–18.0). Cumulative 15-year risk for venous events was 3.9%. Cumulative 15-year incidence rate for composite vascular events was 34.0 (95% CI 30.1–38.2) per 1,000 person-years. When adjusted for age and sex, patients with an index stroke caused by high-risk sources of cardioembolism had the highest HR for any subsequent cardiovascular events (3.7; 95% CI 2.6–5.4), whereas the large-artery atherosclerosis group had the highest HR (2.7; 95% CI 1.6–4.6) for recurrent stroke compared with patients with stroke of undetermined etiology. Conclusions: The risk for future cardiovascular events after ischemic stroke in young adults remains high for years after the index stroke, in particular when the index stroke is caused by high-risk sources of cardioembolism or large-artery atherosclerosis.
Toward automatic detection of acute stress: Relevant nonverbal behaviors and impact of personality traits

The aim of the present study is to identify relevant nonverbal features allowing the discrimination of different stressful behaviors, with the consideration of personality factors. In order to achieve this aim, we propose a new method for psychological stress induction involving four different stressful tasks. The proposed protocol was tested with 45 PhD students and the analysis of heart rate variability suggests that stress was indeed elicited. PhD students were selected as participants because they often experience stress. Multimodal data was collected and analyzed in order to identify nonverbal behavioral features related to the different stressful tasks. The psychological profile of participants was taken into account to understand how different stressful behaviors are correlated with personality factors. Results suggest that relevant nonverbal behaviors can discriminate between stressful tasks. In addition, relevant behaviors involving movement variability appear to be correlated with personality factors and stressful tasks.
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling

We present a new algorithm for identifying the transition and emission probabilities of a hidden Markov model (HMM) from the emitted data. Expectation-maximization becomes computationally prohibitive for long observation records, which are often required for identification. The new algorithm is particularly suitable for cases where the available sample size is large enough to accurately estimate second-order output probabilities, but not higher-order ones. We show that if one is only able to obtain a reliable estimate of the pairwise co-occurrence probabilities of the emissions, it is still possible to uniquely identify the HMM if the emission probability is \emph{sufficiently scattered}. We apply our method to hidden topic Markov modeling, and demonstrate that we can learn topics with higher quality if documents are modeled as observations of HMMs sharing the same emission (topic) probability, compared to the simple but widely used bag-of-words model.
Designing a True Direct-Access File System with DevFS

We present DevFS, a direct-access ﬁle system embedded completely within a storage device. DevFS provides direct, concurrent access without compromising ﬁle sys-tem integrity, crash consistency, and security. A novel reverse-caching mechanism enables the usage of host memory for inactive objects, thus reducing memory load upon the device. Evaluation of an emulated DevFS prototype shows more than 2x higher I/O throughput with direct access and up to a 5x reduction in device RAM utilization
Low-Cost Radiator for Fission Power Thermal Control

NASA Glenn Research Center (GRC) is developing fission power system technology for future Lunar surface power applications. The systems are envisioned in the 10 to 100kW(sub e) range and have an anticipated design life of 8 to 15 years with no maintenance. NASA GRC is currently setting up a 55 kW(sub e) non-nuclear system ground test in thermal-vacuum to validate technologies required to transfer reactor heat, convert the heat into electricity, reject waste heat, process the electrical output, and demonstrate overall system performance. Reducing the radiator mass, size, and cost is essential to the success of the program. To meet these goals, Advanced Cooling Technologies, Inc. (ACT) and Vanguard Space Technologies, Inc. (VST) are developing a single facesheet radiator with heat pipes directly bonded to the facesheet. The facesheet material is a graphite fiber reinforced composite (GFRC) and the heat pipes are titanium/water. By directly bonding a single facesheet to the heat pipes, several heavy and expensive components can be eliminated from the traditional radiator design such as, POC(TradeMark) foam saddles, aluminum honeycomb, and a second facesheet. A two-heat pipe radiator prototype, based on the single facesheet direct-bond concept, was fabricated and tested to verify the ability of the direct-bond joint to withstand coefficient of thermal expansion (CTE) induced stresses during thermal cycling. The thermal gradients along the bonds were measured before and after thermal cycle tests to determine if the performance degraded. Overall, the results indicated that the initial uniformity of the adhesive was poor along one of the heat pipes. However, both direct bond joints showed no measureable amount of degradation after being thermally cycled at both moderate and aggressive conditions.
A Holography-Based Modal Wavefront Sensor for the Precise Positioning of a Light Emitter Using a High-Resolution Computer-Generated Hologram

In certain applications, modal wavefront sensors (MWFSs) can outperform zonal wavefront sensors, which are widely used due to their high flexibility. In this paper, a holography-based MWFS as described is developed for the fast position control of a light emitter in a deep parabolic mirror. The light source is located in the vicinity of the focal point. Instead of Zernike polynomials, more complex phase functions, which are related to certain dislocations of the light source are used as detector modes. The performance of the sensor is verified with a test setup, where the test wavefront is generated by a spatial light modulator instead of a real parabolic mirror. The design and fabrication of the required high-resolution holographic element is described and an easy way of multiplexing several single mode sensors is demonstrated.
Recovery and Separation of Si and SiC in Wire Cutting Waste Slurry from Photovoltaic Silicon

Abstract. The Si and SiC in wire cutting waste slurry from photovoltaic silicon were recovery and separation by froth floatation in this paper, and the lauryl amine and sodium hamates were used as collector and flocculants, respectively. The effects of collector concentration, inhibitor species, and solution temperature and pH value on separation efficiency were investigated. The morphology of collected solid was characterized by SEM.The phase composition of collected solid was characterized by XRD. Laser particle seizer was used to study the particle size distribution. The results showed that temperature had little effect on the flotation efficiency. When pH value was 7, the lauryl amine adapts to neutral environment and the collecting effect of collector was the best, and cellulose was considered to be the best inhibitors in four different inhibitors. When volume fraction of lauryl amine, sodium humate flocculant, cellulose inhibitor, and temperature and pH value were 0.16%, 0.16%, 0.25‰, 30°C and 7, respectively, the solid collecting rate and collected SiC purity were respectively 51.94% and 94.7%.
Adaptive super-twisting sliding mode control on hydraulic actuator of a 6-DOF parallel manipulator

In this paper, the robust control strategy, super-twisting algorithm, is applied on the hydraulic actuator of the 6 degree-of-freedom (DOF) parallel manipulator, so-called Stewart platform. The second order sliding mode algorithm is often used to design controllers for the properties of robustness and chattering-free. In the control issues of hydraulic actuators, the perturbations such as friction and parameter variation are usually considered. The proposed controller guarantees finite time convergence with the constant bounded perturbation and the friction which is described by the dynamics friction model. In addition, the perturbation caused of model parametric error was also tackled via designing an adaptive law. The Lyapunov stability analysis ensures the robustness and convergence of the hydraulic system. The control performance of the proposed approach is demonstrated in the simulation results.
Gene expression regulatory networks in Trypanosoma brucei: insights into the role of the mRNA‐binding proteome

Control of gene expression at the post‐transcriptional level is essential in all organisms, and RNA‐binding proteins play critical roles from mRNA synthesis to decay. To fully understand this process, it is necessary to identify the complete set of RNA‐binding proteins and the functional consequences of the protein‐mRNA interactions. Here, we provide an overview of the proteins that bind to mRNAs and their functions in the pathogenic bloodstream form of Trypanosoma brucei. We describe the production of a small collection of open‐reading frames encoding proteins potentially involved in mRNA metabolism. With this ORFeome collection, we used tethering to screen for proteins that play a role in post‐transcriptional control. A yeast two‐hybrid screen showed that several of the discovered repressors interact with components of the CAF1/NOT1 deadenylation complex. To identify the RNA‐binding proteins, we obtained the mRNA‐bound proteome. We identified 155 high‐confidence candidates, including many not previously annotated as RNA‐binding proteins. Twenty seven of these proteins affected reporter expression in the tethering screen. Our study provides novel insights into the potential trypanosome mRNPs composition, architecture and function.
Instrumented Micro‐indentation of Zirconia Ceramics

Instrumented micro-indentation experiments are conducted with Vickers and spherical indenters in Y-TZP and two different Mg-PSZ ceramics. The load (P)–depth of penetration (h) curves from Vickers indentation can be fitted to P=Chn with n∼ 1.8. It is shown that within the micro-indentation range, measurements of Young's modulus (E) can be conducted in zirconia ceramics using sharp indenters, and that the results are consistent with those from spherical indentation. Quantification of piling-up and sinking-in is accomplished from P–h curves. Results from finite element computations are used to assess pressure-sensitivity and plastic-hardening coefficient from indentation experiments.
Effect of Motion Perception on Intertemporal Choice Is Associated With the Altered Time Perception

Intertemporal choice refers to the choice between receiving a small immediate reward or a large delayed one. Previous studies have indicated that time perception plays a critical role in the intertemporal choice, and it could be affected by the features of the target stimulus in the time reproduction task, such as speed of movement and state of motion. However, there is no evidence about whether backward or forward motion perception could alter the intertemporal choice. Thus, in our current study, 29 participants were asked to perform two tasks in a random order. One was the intertemporal choice task after viewing videos containing moving elements with forward/backward directions as well as stationary ones, and another was the time perception task. We found that the discounting rate in intertemporal choice was significantly larger in backward motion condition than in both forward motion and stationary conditions, indicating that backward motion perception made participants more myopic (specifically, more likely to choose the smaller immediate reward instead of the large delayed one) during their decision-makings. Meanwhile, participants overestimated the temporal duration in a time perception task in backward motion condition compared to the other two conditions. Furthermore, the Pearson’s correlation analysis showed that the changes of the intertemporal choice induced by backward motion perception could be associated with the altered time perception. As far as we know, we provide the first evidence on influence of motion perception on the intertemporal choice as well as its possible cognitive correlates, which extend previous studies on cognitive basis of the intertemporal choices.
SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing

For modern synthetic aperture radar (SAR), it has much more urgent demands on ground moving target indication (GMTI), which includes not only the point moving targets like cars, truck or tanks but also the distributed moving targets like river or ocean surfaces. Among the existing GMTI methods, displaced phase center antenna (DPCA) can effectively cancel the strong ground clutter and has been widely used. However, its detection performance is closely related to the target’s signal-to-clutter ratio (SCR) as well as radial velocity, and it cannot effectively detect the weak large-sized river surfaces in strong ground clutter due to their low SCR caused by specular scattering. This paper proposes a novel method called relative residue of DPCA (RR-DPCA), which jointly utilizes the DPCA cancellation outputs and the multi-look images to improve the detection performance of weak river surfaces. Furthermore, based on the statistics analysis of the RR-DPCA outputs on the homogenous background, the cell average (CA) method can be well applied for subsequent constant false alarm rate (CFAR) detection. The proposed RR-DPCA method can well detect the point moving targets and distributed moving targets simultaneously. Finally, the results of both simulated and real data are provided to demonstrate the effectiveness of the proposed SAR/GMTI method.