Miracle-dz/UniFAR-FTUs huggingface dataset:
Admission and power control for Device-to-Device links with quality of service protection in spectrum sharing hybrid network

In this paper, we propose admission control and power optimization algorithms for Device-to-Device (D2D) communication which share uplink resources with cellular system in underlay mode. In the presence of quality of service (QoS) protection (both for D2D and cellular users) and transmit power limit, we propose a set-based admission control (SAC) algorithm in which some novel strategies of sets adjustment are presented to handle the violations of constraints. By using SAC, we get a set which contains admitted D2D links (DLs) as many as possible, and other DLs are rejected, but the D2D system capacity is not optimal. Then, we propose a distributed power optimization (DPO) algorithm to maximize the D2D system capacity after implementation of SAC. In DPO, QoS protection is also provided, each DL uses gradient descent method to update its transmit power, and DLs only need to exchange “price” messages which indicate the effect of interference. Through the numerical results, we demonstrate the feasibility and satisfying performance of proposed algorithms compared to traditional algorithms.
Distribution models for koalas in South Australia using citizen science-collected data

The koala (Phascolarctos cinereus) occurs in the eucalypt forests of eastern and southern Australia and is currently threatened by habitat fragmentation, climate change, sexually transmitted diseases, and low genetic variability throughout most of its range. Using data collected during the Great Koala Count (a 1-day citizen science project in the state of South Australia), we developed generalized linear mixed-effects models to predict habitat suitability across South Australia accounting for potential errors associated with the dataset. We derived spatial environmental predictors for vegetation (based on dominant species of Eucalyptus or other vegetation), topographic water features, rain, elevation, and temperature range. We also included predictors accounting for human disturbance based on transport infrastructure (sealed and unsealed roads). We generated random pseudo-absences to account for the high prevalence bias typical of citizen-collected data. We accounted for biased sampling effort along sealed and unsealed roads by including an offset for distance to transport infrastructures. The model with the highest statistical support (wAICc ∼ 1) included all variables except rain, which was highly correlated with elevation. The same model also explained the highest deviance (61.6%), resulted in high R2(m) (76.4) and R2(c) (81.0), and had a good performance according to Cohen's κ (0.46). Cross-validation error was low (∼ 0.1). Temperature range, elevation, and rain were the best predictors of koala occurrence. Our models predict high habitat suitability in Kangaroo Island, along the Mount Lofty Ranges, and at the tips of the Eyre, Yorke and Fleurieu Peninsulas. In the highest-density region (5576 km2) of the Adelaide–Mount Lofty Ranges, a density–suitability relationship predicts a population of 113,704 (95% confidence interval: 27,685–199,723; average density = 5.0–35.8 km−2). We demonstrate the power of citizen science data for predicting species' distributions provided that the statistical approaches applied account for some uncertainties and potential biases. A future improvement to citizen science surveys to provide better data on search effort is that smartphone apps could be activated at the start of the search. The results of our models provide preliminary ranges of habitat suitability and population size for a species for which previous data have been difficult or impossible to gather otherwise.
Capturing topology-level implications of link synthesis techniques for nanoscale networks-on-chip

In the context of nanoscale networks-on-chip (NoCs), each link implementation solution is not just a specific synthesis optimization technique with local performance and power implications, but gives rise to a well-differentiated point in the architecture design space. This in an effect of the tight interaction existing between architecture and physical design layers in nanoscale technologies. This work assesses several NoC link inference techniques (buffering options, link pipelining) by means of commercial backend synthesis tools, taking the system-level perspective. In fact, performance speed-ups and power overhead are not evaluated for the links in isolation but for the network topology as a whole, thus showing their sensitivity to the link inference strategy. k-ary n-mesh topologies are considered for the sake of analysis, in that they provide a range of topologies with increasing total wirelength.
Towards a New Approach for Modelling Interactive Real Time Systems Based on Collaborative Decisions Network

Adaptive systems are being used in many research fields such as e-Learning, switching in the telephone network and for organizing contents on the Web. Each field requires a particular adaptation system which is not generally applicable to the other contexts. The lack of several criteria like the interaction with the environment, the self-improvement and the evaluation pushed us to look further and suggest a generalized solution for any context. In this article, we present a new approach for the adaptation of the interactive systems of decision-making to offer suitable services to a given situation based on the interaction with the environment, the auto-improvement and the evolution of the system. The approach suggested is a graphic modelling called decisions network which will serve the design and construction of the dynamic operation of the core of the adaptive systems of decision-making. The service offered by such system is an adaptive final decision of the core which is a result got by the combination of the nodes of the decisions network and its iterative interactions via the environmental data. This work has two objectives: on the one hand, to present the new approach with its components and its importance by reporting existing work and, on the other hand, to present the approach with the chart and the formalization in order to model the dynamic behavior of the system via the search for a final decision in the form of adjacent elementary decisions.
The influence of approach and avoidance motor actions on creative cognition.

Abstract This study tested whether internal nonaffective processing cues independently influence two major varieties of creative cognition: insight problem solving and creative generation. In Experiments 1 and 2, bodily cues associated with positive or negative hedonic states were manipulated by means of arm flexor or extensor contraction, respectively, and the effects of these internal cues on creative insight and generation were observed. In line with our cognitive tuning approach, it was predicted that the “riskier,” more explorative processing style elicited by arm flexion, relative to the more risk-averse, perseverant processing style elicited by arm extension, would facilitate performance on both tasks. These predictions were strongly supported. In addition, Experiments 3 and 4 provided the first direct evidence that the effects of these internal processing cues on creativity are mediated by a memory search-based mechanism. Reported effects were independent of mood, task enjoyment, and the effortfulness of the motor actions.
Automatic Text Generation by Learning from Literary Structures

Most of the work dealing with automatic story production is based on a generic architecture for text generation; however, the resulting stories still lack a style that can be called literary. We believe that in order to generate automatically stories that could be compared with those by human authors, a speciﬁc methodology for ﬁction text generation should be deﬁned. We also believe that it is essential for a story to convey the effect of originality to the person who is reading it. Our methodology proposes corpus-based generation of stories that could be called creative and also have a style similar to human ﬁction texts. We also show how these stories have plausible syntax and coherence, and are perceived as interesting by human evaluators.
A Study of Online Auction Sellers' Intention to Switch Platform: The Case of Yahoo!Kimo Versus Ruten_eBay

The study of consumers’ switching from one service provider to another has a long tradition in economics, information systems, and marketing. The emergence of electronic commerce presents new challenges in understanding consumers’ switching intentions in the context of e-commerce in general and online auctions in particular. With the abundance of literature on online auctions, there is a surprising lack of research on auction sellers’ intentions to switch from one online auction platform to another. Using the competition between Yahoo! Kimo and Ruten_eBay, two leading auction platforms in Taiwan, as the backdrop, we developed a research model and collected empirical data based on this real case to study what factors influence auction sellers to switch to a competing service provider. We find that the higher the procedural switching costs, financial switching costs, relational switching costs, site design quality, or interaction quality, the lower the intention of an auction seller to switch to a competing auction service provider. A higher perceived transaction fee, however, leads to a higher switching intention.
A minimized rRNA-binding site for ribosomal protein S4 and its implications for 30S assembly

Primary ribosomal protein S4 is essential for 30S ribosome biogenesis in eubacteria, because it nucleates subunit assembly and helps coordinate assembly with the synthesis of its rRNA and protein components. S4 binds a five-helix junction (5WJ) that bridges the 5′ and 3′ ends of the 16S 5′ domain. To delineate which nucleotides contribute to S4 recognition, sequential deletions of the 16S 5′ domain were tested in competitive S4-binding assays based on electrophoretic mobility shifts. S4 binds the minimal 5WJ RNA containing just the five-helix junction as well or better than with affinity comparable to or better than the 5′ domain or native 16S rRNA. Internal deletions and point mutations demonstrated that helices 3, 4, 16 and residues at the helix junctions are necessary for S4 binding, while the conserved helix 18 pseudoknot is dispensable. Hydroxyl radical footprinting and chemical base modification showed that S4 makes the same interactions with minimal rRNA substrates as with the native 16S rRNA, but the minimal substrates are more pre-organized for binding S4. Together, these results suggest that favorable interactions with S4 offset the energetic penalty for folding the 16S rRNA.
Demonstration of citation pattern analysis for plagiarism detection

Limitations of Plagiarism Detection Systems State-of-the-art plagiarism detection approaches capably identify copy & paste and to some extent slightly modified plagiarism. However, they cannot reliably identify strongly disguised plagiarism forms, including paraphrases, translated plagiarism, and idea plagiarism, which are forms of plagiarism more commonly found in scientific texts. This weakness of current systems results in a large fraction of today’s scientific plagiarism going undetected.
Application on web mining for web usability analysis

With the rapid development of Internet, Web data mining, especially Weblog mining, plays a more and more important role in many fields, including personalized information services, improving designs and services of web sites and so on. This paper introduces Web data mining firstly, and then discusses the process of Web log mining. Based on these studies and a case study, a web log mining tool is presented in detail. The conclusion of the research and the direction of further study are pointed out in the last part of this paper.
Effects of axotomy and intraocular administration of NT-4, NT-3, and brain-derived neurotrophic factor on the survival of adult rat retinal ganglion cells. A quantitative in vivo study.

PURPOSE To investigate in vivo the survival of retinal ganglion cells (RGC) 4 to 14 days after optic nerve (ON) transection alone or in combination wih a single intraocular injection of neurotrophin-4 (NT-4), neurotrophin-3 (NT-3), or brain-derived neurotrophic factor (BDNF). METHODS In adult rats, RGCs were labeled with fluorogold (FG) applied to their main targets in the brain. Seven days later, the left ON was intraorbitally transected, and, in several groups of animals, the left eye received a sham injection or was injected with 5 microliters of 1% bovine serum albumin-phosphate-buffered saline alone or containing 5 micrograms of NT-4, NT-3, or BDNF. Four, 5, 7, 9, 12 and 14 days after ON transection, the retinas were examined under fluorescence microscopy to estimate RGC survival. RESULTS In control retinas, the mean densities (cells/mm2+/-SEM) of FG-labeled RGCs were 2421+/-55 (n=20). Four days after axotomy, the densities of RGCs were similar to those observed in control retinas, but 5 and 7 days after axotomy, the mean densities had decreased to 2028+/-63 (n=6) and 1568+/-50 (n=6) respectively. In the group of retinas with sham injection, with vehicle alone or with NT-3, RGC densities also decreased by 7 days to 1261+/-71 (n=5), 1506+/-98 (n=10), and 1474+/-125 (n=4), respectively. However, similar densities to those observed in control retinas were observed 7 days after ON transection in the groups of retinas treated with NT-4 (2505+/-91; n=7) or BDNF (2380+/-74; n=7). Fourteen days after axotomy, RGC densities decreased to 521+/-39 (n=10). Comparable densities were found in groups that underwent axotomy and either sham injection (533+/-51; n=5), injection of vehicle (588+/-19; n=10), or NT-3 treatment (634+/-62; n=6). However, at this time, higher densities were observed in the groups treated with NT-4 839+/-39 (n=8) or BDNF 1321+/-120 (n=7). CONCLUSIONS Axotomy-induced RGC death first appears by day 5 and reaches 80% of the original RGC population by day 12. NT-4 and BDNF administered intraocularly at the time of axotomy exert a neuroprotective effect on axotomy-induced RGC death, thus increasing the population of surviving RGCs and delaying the onset of RGC of axotomy-induced RGC death by approximately 3 days. Intraocular administration of NT-3 did not modify the survival of RGCs after injury.
Analysis of problems associated with IPSec VPN Technology

The original goal of Internet protocol security (IPSec) is to enable the protection of all types of Internet protocol (IP) communications by protecting multiple peers at the network layer, in both the IPv4 and IPv6 environments. IPSec is a standard for securing internet communication and a widely deployed mechanism for implementing virtual private networks (VPNs). Most organisations deploy IPSec VPNs that provide enterprise-level secure remote access by protecting the IP packet exchanged between remote networks or host and an IPSec gateway located at the edge of a private network. This paper investigates the security issues of IPSec VPN technology with respect to remote access communication.
Adapting to a changing environment: non-obvious thresholds in multi-scale systems

Many natural and technological systems fail to adapt to changing external conditions and move to a different state if the conditions vary too fast. Such ‘non-adiabatic’ processes are ubiquitous, but little understood. We identify these processes with a new nonlinear phenomenon—an intricate threshold where a forced system fails to adiabatically follow a changing stable state. In systems with multiple time scales, we derive existence conditions that show such thresholds to be generic, but non-obvious, meaning they cannot be captured by traditional stability theory. Rather, the phenomenon can be analysed using concepts from modern singular perturbation theory: folded singularities and canard trajectories, including composite canards. Thus, non-obvious thresholds should explain the failure to adapt to a changing environment in a wide range of multi-scale systems including: tipping points in the climate system, regime shifts in ecosystems, excitability in nerve cells, adaptation failure in regulatory genes and adiabatic switching in technology.
Effective and scalable software compatibility testing

Today's software systems are typically composed of multiple components, each with different versions. Software compatibility testing is a quality assurance task aimed at ensuring that multi-component based systems build and/or execute correctly across all their versions' combinations, or configurations. Because there are complex and changing interdependencies between components and their versions, and because there are such a large number of configurations, it is generally infeasible to test all potential configurations. Consequently, in practice, compatibility testing examines only a handful of default or popular configurations to detect problems; as a result costly errors can and do escape to the field. This paper presents a new approach to compatibility testing, called Rachet. We formally model the entire configuration space for software systems and use the model to generate test plans to sample a portion of the space. In this paper, we test all direct dependencies between components and execute the test plan efficiently in parallel. We present empirical results obtained by applying our approach to two large-scale scientific middleware systems. The results show that for these systems Rachet scaled well and discovered incompatibilities between components, and that testing only direct dependences did not compromise test quality.
Mobile robot self-localization in complex indoor environments using monocular vision and 3D model

In this paper, we consider the problem of mobile robot pose estimation using only visual information from a single camera and odometry readings. A focus is on building complex environmental models, fast online rendering and real-time complex and noisy image segmentation. The 3D model of the robot's environment is built using a professional freeware computer graphics tool named Blender and pre-stored in the memory of the robot's on-board computer. Estimation of the mobile robot pose as a stochastic variable is done by correspondences of image lines, extracted using Random Window Randomized Hough Transform line detection algorithm, and model lines, predicted using odometry readings and 3D environment model. The camera model and ray tracing algorithm are also described. Developed algorithms are experimentally tested using a Pioneer 2DX mobile robot.
A probabilistic approach for collective similarity-based drug-drug interaction prediction

MOTIVATION As concurrent use of multiple medications becomes ubiquitous among patients, it is crucial to characterize both adverse and synergistic interactions between drugs. Statistical methods for prediction of putative drug-drug interactions (DDIs) can guide in vitro testing and cut down significant cost and effort. With the abundance of experimental data characterizing drugs and their associated targets, such methods must effectively fuse multiple sources of information and perform inference over the network of drugs. RESULTS We propose a probabilistic approach for jointly inferring unknown DDIs from a network of multiple drug-based similarities and known interactions. We use the highly scalable and easily extensible probabilistic programming framework Probabilistic Soft Logic We compare against two methods including a state-of-the-art DDI prediction system across three experiments and show best performing improvements of more than 50% in AUPR over both baselines. We find five novel interactions validated by external sources among the top-ranked predictions of our model. AVAILABILITY AND IMPLEMENTATION Final versions of all datasets and implementations will be made publicly available. CONTACT dsridhar@ucsc.edu.
Decision analytic model of the diagnostic pathways for patients with suspected non-alcoholic fatty liver disease using non-invasive transient elastography and multiparametric magnetic resonance imaging

Objectives The mortality associated with liver disease continues to increase, despite the improvements implemented in the UK healthcare as does the prevalence of non-alcoholic fatty liver disease (NAFLD), given the escalating prevalence of obesity. The currently available methods to assess and monitor the stage of liver disease present several limitations. Recently, multiparametric MRI has been developed to address these limitations. The aim of this study is to develop a decision analytic model for patients with suspected NAFLD, to investigate the effect of adding multiparametric MRI to the diagnostic pathway. Perspective The model takes the perspective of the UK National Health Service (NHS) as the service provider. Methods A simple decision-tree model was developed to compare the costs associated with 3 diagnostic pathways for NAFLD that use non-invasive techniques. First, using transient elastography alone; second, using multiparametric MRI as an adjunct to transient elastography and third, multiparametric MRI alone. The model was built to capture these clinical pathways, and used to compare the expected diagnostic outcomes and costs associated with each. Results The use of multiparametric MRI as an adjunct to transient elastography, while increasing screening costs, is predicted to reduce the number of liver biopsies required by about 66%. Used as the sole diagnostic scan, there remains an expected 16% reduction in the number of biopsies required. There is a small drop in the overall diagnostic accuracy, as in the current model, liver biopsy is presumed to give a definitive diagnosis. Conclusions The inclusion of multiparametric MRI, either as an adjunct to or replacement of transient elastography, in the diagnostic pathway of NAFLD may lead to cost savings for the NHS if the model presumptions hold. Further high-quality clinical evidence and cost data are required to test the model's predictions.
Closed-loop kinematic calibration of the RSI 6-DOF hand controller

A method is presented for autonomous kinematic calibration of the RSI 6-DOF hand controller, a two-loop parallel mechanism comprised of three, 6-degrees-of-freedom (DOF) arms with potentiometers on the first three joints of each arm. This double closed-loop kinematic calibration method is an adaptation of a previously developed single closed-loop method. The kinematic parameters identified are the joint angle offsets and the joint angle gains. Experimental results are presented and compared to results using a special calibration fixture. <<ETX>>
Fabrication and Characterization of Porous Silica Monolith by Sintering Silica Nanoparticles

This paper aims to fabricate over centimeter size of porous silica monolith having meso-pores with large surface area. A precursor of porous silica monolith was obtained by sintering a monolithic SiO2-poly (vinyl alcohol) (PVA) nanocomposite at 600oC-1100oC. The sintering behavior was examined by means of Raman spectroscopy and a porosimetry. The PVA of the SiO2-PVA nanocomposite was combusted below 600oC, subsequently the silica nanoparticles of the nanocomposite were sintered above 900oC. The Raman spectroscopy suggested that amorphous structure of the porous silica monolith obtained above 1000oC was similar to that of a silica glass. The BET surface area and pore radius of the porous silica monolith decreased with increasing sintering temperature. These values were tailored in the range of ca. 0-291 m2.g-1 and 5-25 nm, respectively, by controlling the sintering temperature and time. The fabricated porous-silica monolith was translucent or opaque porous-silica depending on the pore size.