Miracle-dz/UniFAR-FTUs huggingface dataset:
An Expressive, Lightweight and Secure Construction of Key Policy Attribute-Based Cloud Data Sharing Access Control

Attribute-based encryption (ABE) is an interesting cryptographic technique for flexible cloud data sharing access control. However, some open challenges hinder its practical application. In previous schemes, all attributes are considered as in the same status while they are not in most of practical scenarios. Meanwhile, the size of access policy increases dramatically with the raise of its expressiveness complexity. In addition, current research hardly notices that mobile front-end devices, such as smartphones, are poor in computational performance while too much bilinear pairing computation is needed for ABE. In this paper, we propose a key-policy weighted attribute-based encryption without bilinear pairing computation (KP-WABE-WB) for secure cloud data sharing access control. A simple weighted mechanism is presented to describe different importance of each attribute. We introduce a novel construction of ABE without executing any bilinear pairing computation. Compared to previous schemes, our scheme has a better performance in expressiveness of access policy and computational efficiency.
The characterisation of interstitial lung disease multidisciplinary team meetings: a global study

Multidisciplinary team (MDT) diagnosis of interstitial lung disease (ILD) has been proposed as a gold standard, but there are no formal recommendations for MDT process or composition and limited knowledge regarding prevalence in routine practice. We performed a systematic evaluation of ILD diagnostic practice across a range of healthcare settings around the world. Electronic questionnaires were distributed across all global regions via society and collaborators networks. Responses from 457 unique centres across 64 countries were included in the analysis. Of the 350 (76.6%) centres holding formal meetings, the majority held face-to-face MDT meetings (80%), for a minimum of 30 min (93%), and discussed diagnosis (96.9%) and patient management (94.9%) at the meetings. Compared with non-academic and academic non-ILD centres, ILD academic centres reported a higher ILD caseload, held more formal MDT meetings, and were more likely to include histopathology and rheumatology specialists in their diagnostic team. Of the centres holding MDT meetings, 5.5% routinely discussed all new cases at such meetings. An MDT approach to ILD diagnosis is consistently interpreted and widely implemented across a range of routine care settings around the world. This observation will inform future ILD diagnostic agreement studies and diagnostic pathway recommendations. In real-world practice, ILD diagnosis uses a multidisciplinary team approach, irrespective of country or healthcare setting http://ow.ly/I1Di30nMNTX
Developers’ Incentives and Open-Source Software Licensing: GPL vs BSD

Abstract One of the puzzling aspects of open-source software (OSS) development is its public good nature. Individual developers contribute to developing the software, but do not hold the copyright to appropriate its value. This raises questions regarding motives behind such effort. We provide an integrated model of developers’ incentives to describe OSS development and compare restrictive OSS licenses that force all modifications to be kept open with non-restrictive OSS licenses that allow proprietary ownership of modified works. Different incentives govern effort provision at different stages of the software development process. We show that open-source licenses can provide socially valuable software when a proprietary license fails to do so. We also show that restrictive OSS licenses generate greater effort provision in the design stage of software development relative to non-restrictive licenses. Endogenizing licensing choice, we find that a project leader chooses a non-restrictive OSS license if reputational concerns drive developers’ incentives, a proprietary license when there is a large population of users in the market and a restrictive OSS license if user population is small but reputational benefit is high. Our results resonate well with empirical findings and suggest additional testable implications about the relationship between licensing and software project characteristics. Finally, we also find that the market under-provides restrictive OSS licenses relative to the efficient level, suggesting the need for subsidizing restrictive licenses in some cases.
Enable Device-Aware Flow Control with Enhanced Protocol-Oblivious Forwarding (POF)

As an extension and enhancement to OpenFlow, Protocol-Oblivious Forwarding (POF) removes the dependency on protocol specific configurations and can operate arbitrary fields of the packet header. Although powerful, when it comes to the situation where the process requires information of the device state, POF cannot obtain the real-time state due to the limit of the existing match field type (packet and metadata). In this paper, we propose the State Parameter Field (SPF), a new match field type of POF, to enable the device-aware flow control. Besides, to achieve a fast and efficient flow table lookup, we design the Direct Entry Matching (DEM) which is suitable for specific state checks. Moreover, as a novel use case of the device-aware flow control, we design and implement the time-based Per-Stream Filtering and Policing mechanism of Time-Sensitive Network (TSN) with the enhanced POF, and the experiment result shows the validity of the SPF and DEM.
Static Output Feedback H ∞ Control Design for a Class of Uncertain LPV Systems: An Integral Quadratic Constraint Approach

this paper investigates the problem of robust gain-scheduled static output feedback (SOF) controller for a class of uncertain linear parameter varying systems (LPVSs). An uncertain LPVS is described by an interconnection of a nominal LPVS which is solely dependent on the measurable parameters, and a block structured uncertainty. For designing a H∞ gain-scheduled SOF controller as well as performing the stability analysis, the proposed method uses integral quadratic constraints (IQCs) to derive the linear matrix inequalities (LMIs) without any constraints on nominal system matrices. The performance and effectiveness of the proposed method are demonstrated based on an example.
Overview of the Mikulski Archive for space telescopes for the James Webb Space Telescope data archiving

In this paper we present the envisaged setup and changes to the current Mikulski Archive for Space Telescopes (MAST) configuration at the beginning of operations for the James Webb Space Telescope mission. The placing of the observatory at L2 and long periods of autonomous operations mean that observations can be split over several time periods or ‘visits’. Data are processed through standard science data reduction pipelines after arriving at the Space Telescope Science Institute (STScI). We describe how data from visits and pipeline processing lead to the data products that are to be stored in the archives. Most observations will require a number of exposures; we discuss the data associations that will formulate the highest level of pipeline products that will be available in the MAST archive for JWST. The JWST observatory has numerous spectroscopic modes, including integral field units and multiple object spectra which will distinguish it from the Hubble Space Telescope archive. We describe the expected data products and services. Finally, we discuss the links to data analysis software and archive products available for user reprocessing.
A Novel Approach to Delay-Variation-Dependent Stability Analysis of 2-D Discrete-Time Systems With Mixed Delays

In this paper, a stability analysis problem is studied for a class of two-dimensional (2-D) discrete-time systems with time-varying and distributed delays described by the second Fornasini-Marchesini (FM) model. First, new 2-D polynomials-based summation inequalities are proposed to estimate summation terms in the forward difference of Lyapunov-Krasovskii functional (LKF). The inequalities can reduce to 2-D Jensen inequalities and 2-D finite-sum inequalities by designing slack matrices and arbitrary vectors. Second, a new augment LKF is constructed, which makes full use of the delay changing information. By the Lyapunov stability theory, sufficient conditions for asymptotic stability of 2-D discrete-time systems are derived in the form of linear matrix inequalities. Finally, two simulation examples are given to demonstrate the effectiveness of the proposed methods.
Collision-free navigation of N-trailer vehicles with motion constraints

In this work, a collision-free navigation strategy for N-trailer vehicles is proposed. This approach is based on a scalable cascaded control scheme to perform several tasks simultaneously: trajectory tracking control, off-track error reduction, external obstacles avoidance, and inter-vehicle collision avoidance. To validate the proposed strategy, a Generalized N-trailer (GNT) structure with a car-like tractor and 10 trailers is tested in simulation to track an U-shape trajectory in presence of unknown obstacles, similar to the trajectories that agricultural vehicles must perform in real applications. The well-known information about external infrastructure is also considered to reduce unsafe trailers off-track errors in turning scenarios. Moreover, the motion constraints imposed by the car-like tractor physical limitations and the interconnections between trailers are also considered by restricting the control input in order to avoid collision between trailers. The simulation results obtained showed a safe navigation which performed feasible maneuvers without collisions between the vehicles' chain and any trailer or external obstacle.
BS-to-Ground Channel Reconstruction With 3D Obstacle Map Based on RSS Measurements

As the dependency on wireless services becomes considerably high, it is quite essential to achieve high-quality coverage of wireless signal in real-time. Meanwhile, radio map construction has great significance when realizing reasonable deployment of the base station (BS) or other airborne alternatives without the need for full site-specific ray-tracing simulation. Based on limited received signal strength (RSS) measurements, an effective system is proposed to reconstruct the BS-to-ground channel and then obtain a good estimation of signal values, which constructs the radio map for all the BS-user pairs in this area. Our system relies on the segmented propagation structure, consisted of line-of-sight (LOS) and non-line-of-sight (NLOS) models. An unsupervised classification method is proposed first to divide all the BS-to-ground links into two propagation models according to their signal values. Then, model parameters are computed by maximum likelihood estimation (MLE). The 3D obstacle map of this area can also be obtained based on category information, which provides a good description of obstacles layout. With this map, the signal blockage of an arbitrary BS-user pair and its class label can be confirmed. The corresponding channel is reconstructed and the value of RSS is then obtained. The performance of our system is verified by both simulation data and measured data. Compared with the methods in related works and the baseline, our classification method owns higher accuracy and the obstacle map captures most of the environmental characteristics. Our proposed system also has better RSS estimation performance.
Robust Control Based on Backstepping Passivation Technique for Robotic Manipulators Including Actuator Dynamics

In this paper, a novel robust controller based on passivity theorem and fuzzy logic system is presented for robotic manipulators including actuator dynamics. In the design procedure, backstepping method is used to passivate all the subsystems in the presence of uncertainties which is called backstepping passivation technique. The manipulator and motor dynamics are considered as unknown terms and then approximated via two simple adaptive fuzzy systems. In order to overcome fuzzy approximation errors, external disturbances and un-modeled dynamics, a robustifying signal is added to the passivation procedure such that it is obtained based on an adaptation mechanism. The passivity stability analysis is utilized to guarantee the boundedness of all the states. The feasibility of the proposed voltage-based control law is shown through the simulation results applied on a robotic manipulator equipped with electrical dc motors.
A Review of Electrical Machine Optimization Medthods with Emphasis on Computational Time

Electrical machine optimization process becomes increasingly demanding with higher-performance requirements for the electrical machine and its drive/control. This can significantly increase the computational requirement of the optimization process. This paper presents a review of the state-of-the-art in term of optimization of electrical machines. The review will cover modeling, analysis and optimization algorithms with emphasis on the computational efficiency. The paper will also focus on optimizing electrical machines for a wide constant power speed range which requires including multiple operating points (in some cases representative of a drive cycle)in the optimization process. Systematic approaches that focus on the reduction of computational time are discussed and compared. Future directions and potential research areas are also discussed.
Adaptive Plane Projection for Video-Based Point Cloud Coding

One of the most promising emerging 3D representation paradigms is the point cloud (PC) model, notably due to the new set of applications that it enables, from immersive telepresence to 3D geographic information systems. Recognizing the potential of this representation model, MPEG has launched a standardization project to specify efficient PC coding solutions. This project has led to the so-called Video-based Point Cloud Coding (V-PCC) standard, which is based on the idea of projecting the dynamic PC geometry and texture into a sequence of frames to be coded with the highly efficient HEVC video coding standard. In V-PCC, the projection of points and color attributes is always performed using the same, rigid set of projection planes, independently of the PC characteristics. This paper proposes a more flexible coding solution, which improves the V-PCC Intra coding mode by adopting a content dependent set of projection planes, thus, more adapted to the characteristics of the PCs to be coded, targeting a better compression performance. The experimental results show an average total bitrate saving of around 15% regarding V-PCC with clear benefits in terms of subjective assessment.
A Study on the Optimized Solution of Redundant Manipulators Using Improved General-Weighted Least-Norm Method

This paper presents the improved general-weighted least-norm (IGWLN) method to heighten the optimization ability for the control of redundant manipulator. The IGWLN method ameliorates the mapping relationship between the optimization target and virtual joint by modifying the transformation matrix, which guarantees the accuracy of main task while accomplishing the subtask and reduces the computation compared with the original general-weighted least-norm (GWLN) method. A simulation in contrast to the GWLN method on a seven-degree-of-freedom (7 DOF) redundant manipulator demonstrates the advantages of the IGWLN method while following a given trajectory.
Magnetic Equivalent Circuit Modeling of Partitioned Stator Doubly Salient Permanent Magnet Machines

In this paper, the magnetic equivalent circuit (MEC) modeling of partitioned stator doubly salient permanent magnet machines (PS-DSPM) is presented. An analytical methodology is proposed to model the air-gap flux in piecewise intervals, and the stator and rotor steel are modeled as fixed permeances. The MEC model is then implemented and executed in a time-stepped simulation. The magnetic flux characteristics and phase EMF of an example PS-DSPM are compared with finite element analysis (FEA). Especially, the two sizes of PS-DSPM machine are investigated to compare the MEC and FEM. The results obtained by MEC and FEA are in good agreement. The modeling MEC of PS-DSPM machines can be utilized for designing the same machine.
Understanding the long-term connections between posttraumatic stress, subjective age, and successful aging among midlife and older adults

ABSTRACT Background: The nature of the reciprocal relationships between posttraumatic stress disorder (PTSD) symptoms, proportional subjective age, and their effects on successful aging are important issues that have been so far under-studied. Clarifying the relationships between these variables has many theoretical and practical implications for the understanding of how individuals age in the shadow of traumatic exposure. Objective: The present study examined the reciprocal relationships between PTSD symptoms and proportional subjective age in a longitudinal design, and how these variables predict successful aging. Method: Using in-region random digit dialling, we collected a stratified sample of community-dwelling older adults residing in the south of Israel. Of that sample, 132 midlife and older adults (T1 age range = 50–87, mean age = 65.84, SD = 9.12) were interviewed three times across a period of two years and four months (2014–2016). Participants completed measures of PTSD symptoms and proportional subjective age in the first two interviews (T1 and T2) and successful aging indices in the third interview (T3). PTSD symptoms and proportional subjective age measured at both T1 and T2 served as predictors and outcomes in a cross-lagged model and as predictors of successful aging at T3. Results: T1 PTSD symptoms predicted an older proportional subjective age at T2, whereas the reverse relationship (i.e. T1 proportional subjective age to T2 PTSD symptoms) was non-significant. Moreover, higher PTSD symptoms and an older proportional subjective age at T2 predicted lower successful aging at T3. Conclusions: In addition to clarifying the temporal sequencing of PTSD and proportional subjective age, the study further suggests that PTSD and proportional subjective age identity could each render midlife and older adults more susceptible to less successful aging. Accordingly, we advocate to further explore the mechanisms underlining these complicated relationships. HIGHLIGHTS • Higher levels of PTSD symptoms were related to higher level of PTSD symptoms a year later. • Older subjective age was related to older subjective age a year later. • PTSD symptoms predict subjective age, but subjective age does not predict PTSD symptoms. • PTSD symptoms and subjective age at T2 mediated the relations between PTSD symptoms in T1 and successful aging in T3. • Subjective age at T2 mediated the relations between subjective age in T1 and successful aging in T3.
Design of a Global Sliding Mode Controller Using Hyperbolic Functions for Nonlinear Systems and Application in Chaotic Systems

In this research, an LMI-based global sliding mode controller law with a novel switching function for the sliding surface using hyperbolic functions is presented and is used for stabilization and robustness of three-dimensional nonlinear systems with uncertainty. The asymptotic stability of the system's state variables is guaranteed by Linear Matrix Inequality (LMI) and furthermore, considering the uncertainty and nonlinear terms, the reaching phase of the sliding surface is deleted. Finally, the proposed control technique is implemented on Genesio-Tesi chaotic system and the results of the simulation are analyzed.
Semantically Identifying Regional-Indexed Publications, a Web-Exploring Approach

The indexing services are an important element of researching process because they make publicly available research results and articles for the community. Furthermore, regional indices such Latindex have contributed to spreading scientific works and incentivizing research in the Latin-American context. However, the un-centralized publication approach that its member journals follow has made impossible to form a unified view of Latindex-indexed articles and its corresponding journals. This drawback has limited activities such biblio-metric studies and integration from the perspective of information systems. In this paper, a linking mechanism between journals and publications is outlined, which aims to identify explicitly whether or not an arbitrary article belongs to Latindex. The proposed approach leverages on the Linked Data principles and takes advantage of web search engines to validate its results. This proposal has successfully been evaluated on an Ecuadorian publications dataset obtaining a 0.91 f-score respect to a manually classified sample.
Multiple Correlated Component Analysis for Identifying the Bilateral Location of Target in Visual Search Tasks

N2pc is defined as a negative event-related potential component that appears after about 250 ms at posterior electrodes contralateral to a target’s location in visual search, which can be used to measure attentional shifts between bilateral visual hemifields and locate the spatial location of lateral targets. However, the waves between the left and right hemispheres elicited by lateral targets usually exhibit a small amplitude difference and strong synchronicity, which may lead to low classification performance. Therefore, the present study explored the feasibility of a multiple correlated components analysis (MCORCA) methods to identify the lateral targets in visual search tasks with a single trial, which could weight the target signals by spatial filters to enlarge the amplitude difference between bilateral hemispheres and extract the linear combinations of multiple channels across trials with an optimal subset of correlated components to avoid the loss of efficient information. The classification rate achieved 82% with a single short-duration trial when using the proposed method with Leave-one-out-cross-validation (LOOCV). The findings demonstrated that the MCORCA-based methods could be used to improve the classification performance for the N2pc-based brain-computer interfaces (BCI) in visual search.
Target Detection Method Based on Improved Quadratic Feature Fusion

For the requirement of accuracy and speed in target detection, an improved secondary feature fusion based on SSD target detection method is proposed. On the basis of SSD network, FPNSSD network is constructed to enhance the semantic information of feature map. Secondary feature fusion is performed on the foundation of FPNSSD network. TFFSSD (twice feature fused SSD) network is proposed to further enhance the ability of low-level semantic information extraction and enrich semantic information. By introducing dichotomous K-means to cluster the selection of default box in TFFSSD network, optimizing the number of channels in prediction layer and using top-down modulation mode of TDM to improve the network, the final improved SSD network model is obtained. The experimental results show that the improved SSD network has better performance in detection accuracy and detection time.
Smartphone-Based Food Weight and Calorie Estimation Method for Effective Food Journaling

World health statistics about overweight and obesity show that overweight, obesity and diet-related diseases still remain major health risks. According to the World Health Organization, most of the world’s population live in countries where overweight and obesity kill more people than underweight. Recently, many studies have been driven by the motivation of elaborating the “ideal” solutions to prevent and/or monitor overweight, obesity and diet-related diseases, and to encourage healthy diet and lifestyle. In this work, we present our idea to automatically measure food weight and calories, from food photo using ordinary chopsticks as a measurement reference. The analysis of the obtained results show that the use of near-by eating utensils combined with computer vision techniques is a great and exploitable approach to ubiquitously help in diet assessment and obesity treatment.