Miracle-dz/UniFAR-FTUs huggingface dataset:
Channel assignment on strongly-simplicial graphs

Given a vector (/spl delta//sub 1/, /spl delta/2,., /spl delta//sub t/) of non increasing positive integers, and an undirected graph G = (V, E), an L(/spl delta//sub 1/, /spl delta/2,., /spl delta//sub t/)-coloring of G is a function f from the vertex set V to a set of nonnegative integers such that |f(u) - f (v)| /spl ges/ /spl delta//sub i/, if d(u, v) = i, 1 /spl les/ i /spl les/ t, where d(u,v) is the distance (i.e. the minimum number of edges) between the vertices u and v. This paper presents efficient algorithms for finding optimal L(1,., 1)-colorings of trees and interval graphs. Moreover, efficient algorithms are also provided for finding approximate L(/spl delta//sub 1/, 1,., 1)-colorings of trees and interval graphs, as well as approximate L(/spl delta//sub 1/, /spl delta//sub 2/) colorings of unit interval graphs.
Linear regression with an unknown permutation: Statistical and computational limits

Consider a noisy linear observation model with an unknown permutation, based on observing y = Π*Ax* + w, where x* ∈ ℝ<sup>d</sup> is an unknown vector, Π* is an unknown n × n permutation matrix, and w ∈ ℝ<sup>n</sup> is additive Gaussian noise. We analyze the problem of permutation recovery in a random design setting in which the entries of the matrix A are drawn i.i. d. from a standard Gaussian distribution, and establish sharp conditions on the SNR, sample size n, and dimension d under which Π* is exactly and approximately recoverable. On the computational front, we show that the maximum likelihood estimate of Π* is NP-hard to compute, while also providing a polynomial time algorithm when d = 1.
Advection of Passive Tracers in the Atmosphere: Batchelor Scaling

Extensive numerical experiments are performed on tracer dispersion in global reanalysis wind fields. Particle trajectories are computed both along an isobaric (500 hPa) and an isentropic (315 K) surface in a time interval of one year. Besides mean quantities such as advection of the center of mass and growth of tracer clouds, special attention is paid to the evaluation of particle pair separation dynamics. The characteristic behavior for intermediate time scales is Batchelor's dispersion along both surfaces, where the zonal extent of the tracer cloud increases linearly in time. The long-time evolution after 70–80 days exhibits a slower, diffusive dispersion (Taylor regime), in agreement with expectations. Richardson–Obukhov scaling (superdiffusion with an exponent of 3/2) could not be identified in the numerical tests. The results confirm the classical prediction by Batchelor that the initial pair-separation determines subsequent time evolution of tracers. The quantitative dependence on the initial distan.
The Cost of Conservatism: Extreme Returns, Value-at Risk, and the Basle Multiplicaiton Factor

We argue that most current methodologies for value-at-risk (VaR) underestimate the VaR, and are therefore ill-suited for market risk capital. Better VaR methods are available, such as the tail-fitting method proposed here. However, financial institutions may be relctant to use those mehtods since current market risk regulations may, perversely, provide incentives for banks to underestimate the VaR.
A novel permanent magnet motor with doubly salient structure

A new type of doubly salient machine is presented in which the field excitation is provided by a nonrotating permanent magnet (PM). This doubly salient PM (DSPM) motor is shown to be kindred to square waveform PM brushless DC motors. Linear and nonlinear analysis has been performed to investigate the characteristics of this new type of PM motors. A prototype DSPM motor has been designed, and a comparison has been made between this new type of motor and the induction motor. It is shown that, by fully exploiting modern high-energy PM material and the doubly salient structure, the DSPM motor can offer superior performance over existing motors in terms of efficiency, torque density, torque-to-current ratio, and torque-to-inertia ratio, while retaining a simple structure amenable to automatic manufacture. <<ETX>>
Root Cause Analysis Using Sequence Alignment and Latent Semantic Indexing

Automatic identification of software faults has enormous practical significance. This requires characterizing program execution behavior. Equally important is the aspect of diagnosing (finding root-cause of) faults encountered. In this article, we address the problem of identifying the root cause of failure from the test sequences that caused failure. Taking analogies from biological sequence alignment and information retrieval domains we propose two approaches for finding the root cause of failure. The first approach is to align all the test sequences pertaining to a fault and identifying the common pattern among these sequences. The other approach is based on an information retrieval technique viz., the latent semantic indexing (LSI). Our experiments and analysis showed that the sequence alignment based approach has the potential to aid significantly in identifying the root cause of failure. The LSI based approach automatically clusters the test sequences based on their functionality, which assists in determining the different manifestations of a fault.
Emotional Intelligence and Adjustment Ability Among Higher Secondary School Students: A Correlational Study

This article established the relationship between Emotional Intelligence and Adjustment among higher secondary school students. Emotional Intelligence has been measured by applying Mondal Emotional Intelligence Inventory (MEII) consisted with 100 items and Adjustment was measured by Adjustment Inventory developed by Paramanik et. al. (2014). 302 samples were randomly selected from the district of Purulia, WB, India. Pearson coefficient correlation was determined for the interpretation of the findings. The results revealed that Emotional Intelligence affects home, school and peer adjustment. Thus, student with high emotional intelligence can take the challenges of life and make successful adjustment in life.
Are Total and Domain-Specific Sedentary Time Associated with Overweight in Older Taiwanese Adults?

This study investigated the associations between total and domain-specific sedentary time with the risk of overweight in older adults. A cross-sectional study was conducted by administering computer-assisted telephone interviews to 1046 Taiwanese older adults (aged ≥65 years) residing in two regions in Taiwan in 2015. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to examine the associations between self-reported total and six domain-specific sedentary times and body mass index status (calculating by self-reported height and weight) by using logistic regression analyses. The results showed that compared with older women in the lowest quartile of the total sedentary time, those in the highest quartile were 1.87 (95% CI: 1.10–3.21) times more likely to be overweight, after adjustment for potential confounders. The total sedentary time was stratified into six specific domains, and only watching television more than 2 h per day was positively associated with overweight (OR, 1.55; 95% CI: 1.08–2.25) in older women, whereas no other sedentary time domains were associated with the risk of overweight. No significant associations were observed in older men. Further studies using prospective designs are required to confirm the presently observed effects of total and domain-specific sedentary behavior on the health of older adults.
DuoTracker: Tool Support for Software Defect Data Collection and Analysis

In today software industry defect tracking tools either help to improve an organization's software development process or an individual's software development process. No defect tracking tool currently exists that help both processes. In this paper we present DuoTracker, a tool that makes possible to track and analyze software defects for organizational and individual software process decision making. To accomplish this, DuoTracker has capabilities to classify defects in a manner that makes analysis at both organizational and individual software processes meaningful. The benefit of this approach is that software engineers are able to see how their personal software process improvement impacts their organization and vice versa. This paper shows why software engineers need to keep track of their program defects, how this is currently done, and how DuoTracker offers a new way of keeping track of software errors. Furthermore, DuoTracker is compared to other tracking tools that enable software developers to record program defects that occur during their individual software processes.
QTL Characterization of Fusarium Head Blight Resistance in CIMMYT Bread Wheat Line Soru#1

Fusarium head blight (FHB) resistant line Soru#1 was hybridized with the German cultivar Naxos to generate 131 recombinant inbred lines for QTL mapping. The population was phenotyped for FHB and associated traits in spray inoculated experiments in El Batán (Mexico), spawn inoculated experiments in Ås (Norway) and point inoculated experiments in Nanjing (China), with two field trials at each location. Genotyping was performed with the Illumina iSelect 90K SNP wheat chip, along with a few SSR and STS markers. A major QTL for FHB after spray and spawn inoculation was detected on 2DLc, explaining 15–22% of the phenotypic variation in different experiments. This QTL remained significant after correction for days to heading (DH) and plant height (PH), while another QTL for FHB detected at the Vrn-A1 locus on 5AL almost disappeared after correction for DH and PH. Minor QTL were detected on chromosomes 2AS, 2DL, 4AL, 4DS and 5DL. In point inoculated experiments, QTL on 2DS, 3AS, 4AL and 5AL were identified in single environments. The mechanism of resistance of Soru#1 to FHB was mainly of Type I for resistance to initial infection, conditioned by the major QTL on 2DLc and minor ones that often coincided with QTL for DH, PH and anther extrusion (AE). This indicates that phenological and morphological traits and flowering biology play important roles in resistance/escape of FHB. SNPs tightly linked to resistance QTL, particularly 2DLc, could be utilized in breeding programs to facilitate the transfer and selection of those QTL.
Fine-Needle Aspiration Biopsy of Hepatocellular Carcinoma and Related Hepatocellular Nodular Lesions in Cirrhosis: Controversies, Challenges, and Expectations

The role of hepatic fine-needle aspiration (FNA) biopsy has evolved. Advances in imaging modalities have obviated the need for tissue confirmation in most hepatocellular carcinomas (HCCs). There is risk of needle-tract seeding. Increasingly, small nodules are being detected on ultrasound surveillance of high-risk patients. Diagnostic challenges associated with cirrhosis include distinction of benign hepatocellular nodules, namely, large regenerative nodules and dysplastic nodules, from reactive hepatocytes; and distinction of well-differentiated HCCs from benign hepatocellular nodules. This paper will discuss (i) controversies regarding preoperative/pretransplantation FNA diagnosis of HCC, (ii) update of biological evolution, nomenclature, and histopathologic criteria for diagnosis of precancerous nodules and small HCCs, and (iii) algorithmic approach to FNA diagnosis of hepatocellular nodules. Optimal results depend on dedicated radiologist-cytopathologist team, on-site cytology service; combined cytohistologic approach, immunohistochemistry, and clinicopathologic correlation. Hepatic FNA is likely to be incorporated as a point of care as we move towards personalized medicine.
Port-based modeling and control of underactuated aerial vehicles

In this paper, we propose a generic model and a controller design for a class of underactuated aerial vehicles, namely for unmanned aerial vehicles whose primary support against gravity is thrust. The approach followed is based on energetic consideration and uses the formalisms of port-Hamiltonian systems and bond graphs. The controller is designed for both stabilization during hovering and for trajectory tracking tasks. The competency of the model and the performance of the controller are validated in simulation.
Blind Source Separation in the Time-Frequency Domain Based on Multiple Hypothesis Testing

This paper considers a time-frequency (t-f)-based approach for blind separation of nonstationary signals. In particular, we propose a time-frequency "point selection" algorithm based on multiple hypothesis testing, which allows automatic selection of auto- or cross-source locations in the time-frequency plane. The selected t-f points are then used via a joint diagonalization and off-diagonalization algorithm to perform source separation. The proposed algorithm is developed assuming deterministic signals with additive white complex Gaussian noise. A performance comparison of the proposed and existing approaches is provided.
Numerical Valuation of Discrete Barrier Options with the Adaptive Mesh Model and Other Competing Techniques

This thesis develops an Adaptive Mesh Model for pricing discrete double barrier options. Adaptive Mesh Model is a kind of trinomial tree lattice that applying higher resolution to where nonlinearity errors occur. After the Adaptive Mesh Model for discrete single barrier options was proposed in 1999 by Ahn, Figlewski, and Gao, there is no further research has been done in Adaptive Mesh Model for discrete barriers. Furthermore, numerical data are also scarce in the paper of Ahn et al. This thesis bases on the lattice structure of Ahn et al. and extends the Adaptive Mesh Model to price discrete double barrier options. Besides, there is no close-form solution for discrete barrier options such that many methods have been suggested and declared to price discrete barrier options fast and accurately but no one can tell exactly that what method is the best. We also make a complete comparisons of the Adaptive Mesh Model with other methods no matter in accuracy or in efficiency. Our numerical data shows that the Adaptive Mesh Model is generally surpassed the other tree lattice methods and the BGK formula approach, and exceed the quadrature method in efficiency with accurate enough outcomes.
Resolving Perception Based Problems in Human-Computer Dialogue

We investigate the e↵ect of sensor errors on situated humancomputer dialogues. If a human user instructs a robot to perform a task in a spatial environment, errors in the robot’s sensor based perception of the environment may result in divergences between the user’s and the robot’s understanding of the environment. If the user and the robot communicate through a language based interface, these problems may result in complex misunderstandings. In this work we investigate such situations. We set up a simulation based scenario in which a human user instructs a robot to perform a series of manipulation tasks, such as lifting, moving and re-arranging simple objects. We induce errors into the robot’s perception, such as misclassification of shapes and colours, and record and analyse the user’s attempts to resolve the problems. We evaluate a set of methods to alleviate the problems by allowing the operator to access the robot’s understanding of the scene. We investigate a uni-directional language based option, which is based on automatically generated scene descriptions, a visually based option, in which the system highlights objects and provides known properties, and a dialogue based assistance option. In this option the participant can ask simple questions about the robot’s perception of the scene. As a baseline condition we perform the experiment without introducing any errors. We evaluate and compare the success and problems in all four conditions. We identify and compare strategies the participants used in each condition. We find that the participants appreciate and use the information request options successfully. We find that that all options provide an improvement over the condition without information. We conclude that allowing the participants to access information about the robot’s perception state is an e↵ective way to resolve problems in the dialogue.
Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds.

BACKGROUND AND PURPOSE Patients with spontaneous intracerebral hemorrhage (ICH) frequently have small areas of signal loss on gradient-echo T2*-weighted MR images, which have been suggested to represent remnants of previous microbleeds. Our aim was to provide histopathologic support for this assumption and to clarify whether the presence and location of microbleeds were associated with microangiopathy. METHODS We performed MR imaging and correlative histopathologic examination in 11 formalin-fixed brains of patients who had died of an ICH (age range, 45-90 years). RESULTS Focal areas of signal loss on MR images were noted in seven brains. They were seen in a corticosubcortical location in six brains, in the basal ganglia/thalami in five, and infratentorially in three specimens. Histopathologic examination showed focal hemosiderin deposition in 21 of 34 areas of MR signal loss. No other corresponding abnormalities were found; however, hemosiderin deposits were noted without MR signal changes in two brains. All specimens with MR foci of signal loss showed moderate to severe fibrohyalinosis, and there was additional evidence of amyloid angiopathy in two of those brains. CONCLUSION Small areas of signal loss on gradient echo T2*-weighted images indicate previous extravasation of blood and are related to bleeding-prone microangiopathy of different origins.
Implementation of aural attributes for simulation of room effects in virtual environments

The audio design for vitural environments includes simulation of acoustical room properties besides specifying sound sources and sinks and their behavior. Virtual environments supporting room reverberation not only gain realism but also provide additional information to the user about surrounding space. Catching the different sound properties by the different spaces requires partitioning the space by the properties of aural spaces. We define soundscape and aural attributes as an application and multimedia content interface. Calculated data on an abstract level is sent to spatialization backends. Part of this research was the implementation of a device driver for the Roland Sound Space Processor. This device not only directionalizes sound sources, but also controls room effects like reverberation.
Bringing execution assurances of pattern matching in outsourced middleboxes

Migrating middleboxes to third-party service providers (e.g., clouds and ISPs) has drawn widespread attentions recently from both industry and academia. While its benefits on reduced local cost and increased service scalability are well understood, such deployment also introduces new security concerns, due to the fact that these boxes are no longer under the direct control of enterprises. Among others, one fundamental desideratum here is to ensure that those middleboxes consistently perform network functions as intended. In this work, we propose practical solutions towards enabling runtime execution assurances of outsourced middleboxes with high confidence. As an initial effort, we target on pattern matching based network functions, which cover a broad class of middlebox applications such as instruction detection, web firewall, and traffic classification. For efficiency, our design follows the same roadmap of probabilistic checking that provides tunable levels of assurance, as in outsourced computation and distributed computing literature. We show how to synthesize the design intuitions in the context of outsourced middleboxes and the dynamic network effect. We present diligent technical instantiations, in the case of single middlebox and the composition of multiple middlebox service chaining, respectively. For a large batch of packets, sufficiently high assurance levels can be achieved by pre-processing only a few randomly selected packets, with marginal overhead. Evaluations of our system prototype on Amazon EC2 show that, the processing of 1000 packets, which includes pattern matching and execution proof generation, results in 200-500ms latency and throughput up to 360Mbps.
TCP-Planet : A Reliable Transport Protocol for Deep Space Networks

The space exploration missions are crucial for acquisition of information about the space and the universe. The entire success of a mission is directly related to the satisfaction of its communications needs. For this goal, the challenges posed by the deep space communication networks need to be addressed. Current TCP protocols are known to provide poor performance in deep space networks which are characterized by the extremely high propagation delays, link errors, asymmetrical bandwidth and blackouts. The window-based congestion control, which injects a new packet into the network upon an ACK reception, is responsible for such performance degradation due to high propagation delay. Slow start algorithms of the existing TCP protocols further contribute to the performance degradation by wasting long time periods to reach the actual data rate. Moreover, wireless link errors amplify the problem by misleading the TCP source to unnecessarily throttle the congestion window. The recovery from erroneous window decrease takes certain time, which is proportional to the round-trip time (RTT) and further decreases the network performance. In this paper, a reliable transport protocol, TCP-Planet, for data traffic in deep space networks is presented. It is intended to address the challenges and achieve high throughput performance and reliable data transmission on deep space links. TCP-Planet deploys an end-to-end rate-based additive-increase multiplicativedecrease (AIMD) congestion control, whose AIMD parameters are tuned to help avoid throughput degradation. TCP-Planet replaces the inefficient slow start algorithms with a novel Initial State algorithm which allows to capture link resources in a very fast and controlled manner. A new congestion detection and control mechanism, which decouples congestion decision from single packet loss, is developed to avoid the erroneous congestion decisions due to high link errors. In order to reduce the effects of blackout conditions on the throughput performance, TCP-Planet incorporates Blackout State procedure into the protocol operation. Bandwidth asymmetry problem is addressed by the adoption of delayed SACK options. Performance evaluation via simulation experiments reveals that TCP-Planet significantly improves the throughput performance and addresses the challenges posed by deep space communication networks.
Particle Swarm Optimization with Subpopulations Shuffled Dynamic and its application in soft-sensor of acrylonitrile yield

This paper presents a variant of Particle Swarm Optimization, called Subpopulations Shuffled Dynamic of Particle Swarm Optimization (SSDPSO). In SSDPSO, particles are partitioned into different subpopulations by fitness to maintain diversity of population efficiency. The subpopulations will be shuffled together to be a new population after they evolved for certain iterations. Furthermore, the iterations which subpopulations evolve will be dynamic changing. Some of particles will be re-randomized when subpopulations stagnate for certain iterations. A portion of shuffled population with poor position will be substituted by other one with better position. The performance of SSDPSO is investigated by some benchmark functions and compared with other version PSO. The results show that SSDPSO can achieve better solutions and get faster convergence. SSDPSO is then applied to train artificial neural networks to construct a soft-sensor of acrylonitrile yield. The results show that the soft-sensing model constructed by SSDPSONN is feasible and effective.