Miracle-dz/UniFAR-FTUs huggingface dataset:
QoS control using adaptive layered data transmission

To improve the QoS of best effort based networks and accommodate heterogeneous receivers, different solutions based an applying hierarchical transmission of data streams have been introduced. These solutions are based on multicasting a base layer which is received by all interested end systems. In addition, enhancement layers are transmitted that improve the quality of the base layer. Each receiver can determine the number of enhancement layers to join and thereby the QoS he would like to receive based on its own capabilities and view of the network congestion state. With this approach, however, the quality of a received data stream is improved or reduced with the granularity of one layer. Depending on the encoding and transmission method used, the additional bandwidth required by each layer can vary greatly. To fine tune the QoS changes, we propose enhancing the hierarchical transmission schemes through sender adaptation using a scheme called adaptive layered transmission (ALT). With the ALT approach, the sender dynamically redistributes a data stream on the different layers based on the feedback of the receivers. In addition, ALT allows for dynamic discovery of the appropriate transmission rate for each layer. First results obtained through simulations suggest an overall improvement of the QoS perceived by heterogeneous receivers.
Aspect-oriented hard real-time programming and tool integration

The paper sketches how aspects, integrated into a hard real-time programming language, could improve the modularization of embedded software. Based on an overview of the Timing Definition Language (TDL, as described in the TDL language report [1]), we present how aspect-oriented concepts could be woven into that language. A discussion of the advantages and disadvantages of AspectTDL rounds out the paper.
Outcome of Successful Versus Unsuccessful Percutaneous Coronary Intervention in Chronic Total Occlusions in One Year Follow-Up

Background Chronic total occlusions (CTO) comprises already one-third of percutaneous coronary interventions (PCIs). There is controversy in PCI results considering short-term and long-term outcomes. We aim to compare efficacy and outcome of successful versus unsuccessful PCI in CTO in 1 year follow-up. Methods In this retrospective study we choose 330 consecutive patients undergone PCI on a CTO of a native coronary artery (163 successful and 167 unsuccessful) in Madani Heart Hospital, Tabriz, Iran. Patients were followed for a mean period of about 15 ± 3 months. Major adverse cardiac events (MACE) in hospital and in follow-up were recorded comprising death, acute myocardial infarction, and need for repeat revascularization. Results Patients with unsuccessful PCI compared to successful PCI were mainly male (87.4% vs. 77.3%; P < 0.02), had a higher incidence of diabetes mellitus (31.1% vs. 20.9%; P < 0.04) and hypertension (53.3% vs. 42.3%; P < 0.04). Most patients in successful group had single vessel disease (63.4% vs. 46.7%; P < 0.001) and less three-vessel disease (11.8% vs. 22.8%) compared to unsuccessful group. In-hospital MACE was insignificantly higher in unsuccessful PCI (17.4% vs. 11%). Unsuccessful PCI was significantly associated with higher rate of 12 months MACE (43.7% vs. 30.1%, P = 0.01), especially revascularization (41.3% vs. 25.2%, P = 0.02). Conclusion Although in hospital outcome was the same between groups, patients with successful PCI of CTO had a better one year follow-up outcome than unsuccessful PCI. However mortality rate was the same and main complications were due to revascularization.
DEMV-matchmaker: Emotional temporal course representation and deep similarity matching for automatic music video generation

This paper presents a deep similarity matching-based emotion-oriented music video (MV) generation system, called DEMV-matchmaker, which utilizes an emotion-oriented deep similarity matching (EDSM) metric as a bridge to connect music and video. Specifically, we adopt an emotional temporal course model (ETCM) to respectively learn the relationship between music and its emotional temporal phase sequence and the relationship between video and its emotional temporal phase sequence from an emotion-annotated MV corpus. An emotional temporal structure preserved histogram (ETPH) representation is proposed to keep the recognized emotional temporal phase sequence information for EDSM metric construction. A deep neural network (DNN) is then applied to learn an EDSM metric based on the ETPHs for the given positive (official) and negative (artificial) MV examples. For MV generation, the EDSM metric is applied to measure the similarity between ETPHs of video and music. The results of objective and subjective experiments demonstrate that DEMV-matchmaker performs well and can generate appealing music videos that can enhance the viewing and listening experience.
Discounted stochastic games poorly approximate undiscounted ones

The purpose of this note is to summarize recent results [6, 4, 5] on stochastic games by the author and his collaborators. These results have appeared or will appear in proceedings of computer science conferences. The intended reader of this note has an interest in finite stochastic games, but no particular interest in computation, that is, the computational aspects of the results obtained have been weeded out. We consider two-player zero-sum finite (but infinite duration) stochastic games G with N positions and at most m actions available to each of the two players in each position. The reward to Player I when Player I plays i and Player II plays j in position k is denoted aij . Transition probabilites are denoted p kl ij . We assume stopping probabilitites are 0, i.e., for all k, i, j we have ∑ l p kl ij = 1. To be able to state our results as simply as possible, we shall also assume throughout that for all k, l, i, j, we have aij , p kl ij ∈ {0, 1}. In particular, we assume deterministic dynamics of nature and non-negative payoffs. By G we denote the game with limiting average (undiscounted) payoffs, i.e, payoff lim inft→∞( ∑t−1 i=0 ri)/t to Player I, where ri is the reward collected by Player I at stage i. By Gλ we denote the game with payoffs discounted with a discount factor of 1− λ, i.e., with payoff λ ∑∞ i=0(1− λ)ri to Player I. By GT we denote the finite game with T stages and payoff ( ∑T−1 i=0 ri)/T to Player I. We shall be interested in the special case where G is a recursive game in the sense of Everett [3] . In a recursive game, all non-zero rewards occur at absorbing states with only one action available to each player (”terminal states”). When G is recursive, we let GT denote the finite game with payoff rT−1 to Player I (i.e., the payoff is the reward Player I collects at the last stage of play). Note that when rewards are non-negative, val(GT ) ≤ val(GT ). The seminal result of Mertens and Neyman [7] states:
The Broad Autism Phenotype in the General Population: Evidence Through Eye-Tracking

The broad autism phenotype (BAP) has been defined both behaviorally and biologically. There has been little research on the association of the BAP, behaviorally defined, with neural or cognitive biomarkers typically associated with Autism Spectrum Disorder (ASD). People diagnosed with ASD tend to show reduced gaze fixation toward the eye region, but much less eye-tracking research has been done related to the BAP (Boraston & Blakemore, 2007). In this study, we sought to assess eye gaze patterns in people with the behaviorally defined BAP, as defined by a score of 30 or above on the Autism Spectrum Quotient (AQ; Baron-Cohen et al., 2001). It was hypothesized that the BAP group participants would exhibit longer average fixation duration to the eye region during an emotion recognition condition, relative to a free-viewing condition, whereas the comparison group participants (defined as an AQ score of 24 and below) would not show a difference in fixation duration to the eye region between conditions. Nine hundred and thirty-nine undergraduates completed an online survey, and 45 of these students (15 BAP group and 30 comparison group) participated in the eye-tracking session, where they viewed a series of human faces, each presented twice within a condition. Results revealed a significant negative relationship between social anxiety and eye region fixation duration in the free-viewing condition, for both presentations of faces. Contrary to expectation, BAP predicted longer eye region fixation duration in the free-viewing condition, for the second presentation of faces. Possible explanations for these surprising findings are discussed.
Pteromys

This paper introduces novel interactive techniques for designing original hand-launched free-flight glider airplanes which can actually fly. The aerodynamic properties of a glider aircraft depend on their shape, imposing significant design constraints. We present a compact and efficient representation of glider aerodynamics that can be fit to real-world conditions using a data-driven method. To do so, we acquire a sample set of glider flight trajectories using a video camera and the system learns a nonlinear relationship between forces on the wing and wing shape. Our acquisition system is much simpler to construct than a wind tunnel, but using it we can efficiently discover a wing model for simple gliding aircraft. Our resulting model can handle general free-form wing shapes and yet agrees sufficiently well with the acquired airplane flight trajectories. Based on this compact aerodynamics model, we present a design tool in which the wing configuration created by a user is interactively optimized to maximize flight-ability. To demonstrate the effectiveness of our tool for glider design by novice users, we compare it with a traditional design workflow.
Forcefree control with independent compensation for industrial articulated robot arm

Abstract In this paper, the concept of forcefree control is extended to realize flexible motion of industrial articulated robot arms under the virtual operational circumstances such as free of inertia, friction and gravity through independent compensation of inertia, friction and gravity. The forcefree control with independent compensation was verified with an experimental study of an actual industrial robot arm.
An Integrative Approach to Study Drivers Perceived Stress on Aberrant Driving Behaviour: The Mediation Role of Driver Fatigue

Robust scientific evidence exists for occupational group of heavy vehicle drivers in oil and gas transport who are infected with acute fatigue. Numerous recent studies relate driver’s perceived stress and fatigue with dangerous driving behaviours during performance of delivery duties. This study investigates the association between driver’s perceived stress on aberrant driving behaviour and determines fatigue to be the mediation factor. Sample size of 378 male drivers from 10 oil and gas transport companies was selected that operate in peninsular west and east Malaysia, who answered adapted version of Driver Behaviour Questionnaire (DBQ) in the conducted survey. Structural Equation Model (SEM) was applied that proved aberrant driving behaviours of heavy vehicle drivers can be predicted through driver’s perceived stress and fatigue. Fatigue is a mechanism that mediates the association amongst driver perceived stress and aberrant driving behaviours. In conclusion, the parameter of fatigue mediates between the perceived stress which is an appropriate prediction tool and consequent aberrant driving behaviour of heavy vehicle drivers. This study suggests abatement in individual stress and recommends fatigue management to alter risky and aberrant driving behaviours in order to encourage and give impetus to safe driving culture in oil and gas transportation sector in Malaysia.
Load balancing loosely synchronous problems with a neural network

Hopfield and Tank have introduced the use of neural networks for the solution of optimization problems such as the traveling salesman problem. Here we show how to generalize this method to decompose loosely synchronous problems onto parallel machines and in particular the hypercube. In this case, decomposition or load balancing can be formulated graph theoretically in terms of optimal partitioning of the computational graph into N = 2d subgraphs. The algorithm has a suggestive spin system interpretation, with the ferromagnetic interaction minimizing the communication and the long range paramagnetic force balancing the load. The optimal fixed point of the network is in the Higgs phase of the magnet, with the domains of constant spontaneous magnetization representing the optimal decomposition map. The method is fast, reliable and admits various simple implementations: sequential, concurrent on the hypercube, analog on the neural network with adaptive weights (“learning”). We analyze the sequential performance of various mean field based network algorithms and we compare the network approach with the statistical Monte Carlo technique of simulated annealing.
A Hybrid Tracked-Wheeled Multi-Directional Mobile Robot

This paper presents the novel design and integration of a mobile robot with multi-directional mobility capabilities enabled via a hybrid combination of tracks and wheels. Tracked and wheeled locomotion modes are independent from one another, and are cascaded along two orthogonal axes to provide multi-directional mobility. An actuated mechanism toggles between these two modes for optimal mobility under different surface-traction conditions, and further adds an additional translational axis of mobility. That is, the robot can move in the longitudinal direction via the tracks on rugged terrain for high traction, in the lateral direction via the wheels on smooth terrain for high-speed locomotion, and along the vertical axis via the translational joint. Additionally, the robot is capable of yaw axis mobility using differential drives in both tracked and wheeled modes of operation. The paper presents design and analysis of the proposed robot along with a dynamic stabilization algorithm to prevent the robot from tipping over while carrying an external payload on inclined surfaces. Experimental results using an integrated prototype demonstrate multi-directional capabilities of the mobile platform and the dynamic stability algorithm to stabilize the robot while carrying various external payloads on inclined surfaces measuring up to 2.5 kg and 10 deg, respectively.
Dysregulated LRRK2 Signaling in Response to Endoplasmic Reticulum Stress Leads to Dopaminergic Neuron Degeneration in C. elegans

Mutation of leucine-rich repeat kinase 2 (LRRK2) is the leading genetic cause of Parkinson's Disease (PD), manifested as age-dependent dopaminergic neurodegeneration, but the underlying molecular mechanisms remain unclear. Multiple roles of LRRK2 may contribute to dopaminergic neurodegeneration. Endoplasmic reticulum (ER) stress has also been linked to PD pathogenesis, but its interactive mechanism with PD genetic factors is largely unknown. Here, we used C. elegans, human neuroblastoma cells and murine cortical neurons to determine the role of LRRK2 in maintaining dopaminergic neuron viability. We found that LRRK2 acts to protect neuroblastoma cells and C. elegans dopaminergic neurons from the toxicity of 6-hydroxydopamine and/or human α-synuclein, possibly through the p38 pathway, by supporting upregulation of GRP78, a key cell survival molecule during ER stress. A pathogenic LRRK2 mutant (G2019S), however, caused chronic p38 activation that led to death of murine neurons and age-related dopaminergic-specific neurodegeneration in nematodes. These observations establish a critical functional link between LRRK2 and ER stress.
Managing of mathematics education with synergistic effects

: In this paper we examine the management processes of secondary school mathematics education (subject-oriented classes) with a synergistic effects based on the identification and study of “problem areas” of mathematics at secondary school by means of computer and mathematical modeling. Our research concerns the tasks of mastering complex concepts and procedures in the context of hierarchical organization and visual modeling when identifying the essence of learning elements (surface area, functional dependencies, iterative processes, geometric shapes, etc.). Modern advances in science are actualized (fractal geometry, coding theory, fuzzy sets and fuzzy logic, nonlinear dynamics, etc.), and the most important generalized constructs are adapted to the current level of school knowledge which is about analysis of secondary school mathematics “problem areas”. Based on personal experience founding, process constructs and procedures and computer-aided design of nonlinear dynamics of manifesting synergetic effects have been developed, and dynamic invariants have been detected through mastering complex concepts. Integration processes of mathematical, informational, natural-science and humanitarian knowledge are actualized during learning mathematics. The effectiveness of mathematics education managing with synergistic effects to develop intellectual operations and to improve math skills is shown.
A study on facilitating factors for the utilization of r-learning among kindergarten teachers

The purpose of this study was to examine the structural relationship of influential variables for the utilization of r-learning in class by kindergarten teachers and the paths of the variables in an attempt to accelerate the utilization of r-learning among kindergarten teachers and provide some information on the vitalization of r-learning in early childhood education. The subjects in this study were 107 kindergarten teachers, on whom a survey was conducted. The collected data were analyzed by a statistical package AMOS 21.0. The findings of the study were as follows: First, image and fun affected perceived usefulness, and the self-efficacy of the teachers exerted an influence on perceived ease of use. Second, perceived usefulness had a significant impact on attitude toward r-learning utilization. Third, attitude toward r-learning utilization exercised an influence on both activities and evaluation that belonged to utilization in class.
Design, Synthesis and the Biological Evaluation of New 1,3-Thiazolidine-4-ones Based on the 4-Amino-2,3-dimethyl-1-phenyl-3-pyrazolin-5-one Scaffold

New thiazolidine-4-one derivatives based on the 4-aminophenazone (4-amino-2,3-dimethyl-1-phenyl-3-pyrazolin-5-one) scaffold have been synthesized as potential anti-inflammatory drugs. The pyrazoline derivatives are known especially for their antipyretic, analgesic and anti-inflammatory effects, but recently there were synthesized new compounds with important antioxidant, antiproliferative, anticancer and antidiabetic activities. The beneficial effects of these compounds are explained by nonselective inhibition of cyclooxygenase izoenzymes, but also by their potential scavenging ability for reactive oxygen and nitrogen species. The structure of the new compounds was proved using spectroscopic methods (FR-IR, 1H-NMR, 13C-NMR, MS). The in vitro antioxidant potential of the synthesized compounds was evaluated according to the ferric reducing antioxidant power, phosphomolydenum reducing antioxidant power, DPPH and ABTS radical scavenging assays. The chemical modulation of 4-aminophenazone (6) through linkage to thiazolidine-propanoic acid derivatives 5a–l led to improved antioxidant potential, all derivatives 7a–l being more active than phenazone. The most active compounds are the derivatives 7e, and 7k, which showed the higher antioxidant effect depending on the antioxidant assay considered.
Machine Learning with Missing Attributes Values Methods Implementation

—One important and inconvenient problem is the presence of missing data in effort to achieve a data quality within our problem solving process. We notice the frequent occurrence of missing attributes values in real world data sets. There are some well-known strategies how to deal with missing value features within classification problem. At first, we apply five generally known investigated approaches to missing attribute values. Next, we use improved 6th approach to missing attribute values description and handling.
A 60 GHz multi-Gb/s system demonstrator utilizing analog synchronization and 1-bit data conversion

In this paper, a 60 GHz system demonstrator for multi-Gb/s, short-range, line-of-sight communications is presented. The system utilizes a highly efficient receiver architecture with phase noise suppression capability, which performs carrier synchronization in the analog domain, eliminating the need for high speed, high precision analog-to-digital converters. In the presented demonstrator, with only 1-bit data conversion at the transmitter and receiver, an error-free maximum raw data rate of 3.45 Gb/s is achieved using BPSK modulation over a wireless transmission distance of up to 1m. A more sophisticated modulation capability is demonstrated as well for a raw data rate of 6.9 Gb/s and a bit error rate of 10-5 usina QPSK modulation.
Malicious attacks on ad hoc network routing protocols

The main purpose of an ad hoc network routing protocol is to enable the transport of data packets from one point to another. This paper examines the potential attacks on this transport service which arise from the realisation of threats from internal malicious nodes. The prerequisite of a routing service is a distributed mechanism for the discovery and maintenance of routes; network integrity and availability are required to ensure the correct operation of an ad hoc network. This paper also provides a qualitative analysis of how proactive and reactive protocols cope with malicious internal attacks, and whether one type of protocol offers inherently better resistance to the various attacks than the other.
Defining requirements for an atrial fibrillation screening system that implements tele-holtering on a cloudified infrastructure

This work intends to define requirements to design, deploy, evaluate and validate the feasibility, efficiency and safety of an enriched telecardiology application for providing remotely ECG and Holter diagnostic/monitor services as atrial fibrillation screening. The platform must include supporting tools for e-learning that allow to operate the solution by general practitioners and patients for second opinion, best follow-up through home monitoring and on-line learning, boosted by an on-demand virtualized data recording and training infrastructure, based on a cloudified infrastructure. It can be understood as an experiment that will use a cloudified infrastructure to deploy new telecardiology related services, particularly for atrial fibrillation patients that could be monitorized from several ambulatories.
An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond

Since Non-convex and Non-smooth Matrix Factorization (NNMF) problems have great realistic significance in applications, they attract extensive attention in the fields of image processing and machine learning. We in this paper propose an inexact proximal alternating direction (IPAD) method for solving various complex NNMF problems. Our IPAD method is not a single algorithm, but a general and flexible framework which can fuse various numerical methods into. With a special designed error condition, the convergence properties of IPAD are analyzed for a general formulation, and can be extended to a wider range of problems. Moreover, an implementation method for checking the inexactness criterion is theoretically analyzed, which is more valid than the previously naive criteria in practice. Our IPAD algorithm is applied to a widely-concerned sparse dictionary learning problem on both synthetic and real-world data. The experimental results with detailed analyses and discussions are given to verify the efficiency of IPAD method.