Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Fault Management in Wireless Sensor Networks

st century. However, the nature of these applications and network operational environment has also put strong impact on sensor network systems to maintain high service quality. One challenge is to design efficient fault management solutions to recover network systems from various unexpected failures. In this paper, we address this challenge by surveying existing fault management approaches in WSNs. We divide fault management process into three phases, such as fault detection, diagnosis and recovery. We classify existing approaches according to these phases. We also summarize the existing management architectures, which are adopted to support fault management in WSNs. Finally, we outline future challenges for fault management in WSNs.
Critical Essay: Organizational cognitive neuroscience drives theoretical progress, or: The curious case of the straw man murder

In this critical essay, we respond to Lindebaum’s argument that neuroscientific methodologies and data have been accepted prematurely in proposing novel management theory. We acknowledge that building new management theories requires firm foundations. We also find his distinction between demand and supply-side forces helpful as an analytical framework identifying the momentum for the contemporary production of management theory. Nevertheless, some of the arguments Lindebaum puts forward, on closer inspection, can be contested, especially those related to the supply side of organizational cognitive neuroscience research: functional Magnetic Resonance Imaging (fMRI) data, motherhood statements and ethical concerns. We put forward a more positive case for organizational cognitive neuroscience methodologies and data, as well as clarifying exactly what organizational cognitive neuroscience really means, and its consequences for the development of strong management theory.
JaldiMAC: taking the distance further

WiFi has been promoted as an affordable technology that can provide broadband Internet connectivity to poor and sparsely populated regions. A growing number of deployments, some of substantial scale, are making use of WiFi to extend connectivity into rural areas. However, the vast majority of the 3.5 billion people living in rural villages [1] are still unserved. To reach these people, new technology must be developed to make small rural wireless Internet service providers (WISPs) profitable. We have identified radio towers as the largest expense for WISPs; to reduce or eliminate this barrier to entry, we propose a novel point-to-multipoint deployment topology that takes advantage of "natural towers" such as hills and mountains to provide connectivity even over great distances. We make this design practical with a new TDMA MAC protocol called JaldiMAC that (i) enables and is optimized for point-to-multipoint deployments, (ii) adapts to the asymmetry of Internet traffic, and (iii) provides loose quality of service guarantees for latency sensitive traffic without compromising fairness. To our knowledge, JaldiMAC is the first integrated solution that combines all of these elements. Our evaluation of JaldiMAC suggests that it fulfills its design goals. Our scheduler is able to provide a 71% decrease in jitter and superior latency characteristics in exchange for a 5% increase in average RX/TX switches, as compared to a stride scheduler. Overall, we find that JaldiMAC performs surprisingly well at this early stage.
Adaptive self-interference suppression for full-duplex relays with multiple receive antennas

In full-duplex relays, simultaneous reception and transmission in the same frequency results in self-interference which distorts the retransmitted signal and makes the relay prone to oscillation. We present an adaptive feedback canceller for multiple-input single-output (MISO) relays, efficiently combining spatial and temporal processing. The receive array is adaptively steered towards the minimum variance distortionless response (MVDR), whereas the temporal filter update is based on a novel low-complexity spectrum shaping scheme which avoids introducing additional delay in the relay station.
A hybrid level‐of‐detail representation for large‐scale urban scenes rendering

A novel hybrid level‐of‐detail (LOD) algorithm is introduced. We combine point‐based, line‐based, and splat‐based rendering to synthesize large‐scale urban city images. We first extract lines and points from the input and provide their simplification encoded in a data structure that allows for a quick and automatic LOD selection. A screen‐space projected area is used as the LOD selector. The algorithm selects lines for long‐distance views providing high contrast and fidelity of the building silhouettes. For medium‐distance views, points are added, and splats are used for close‐up views. Our implementation shows a 10 × speedup as compared with the ground truth models and is about four times faster than geometric LOD. The quality of the results is indistinguishable from the original as confirmed by a user study and two algorithmic metrics. Copyright © 2014 John Wiley & Sons, Ltd.
Probing turbulence in the Coma galaxy cluster

Spatially-resolved gas pressure maps of the Coma galaxy cluster are obtained from a mosaic of XMM-Newton observations in the scale range between a resolution of 20 kpc and an extent of 2.8 Mpc. A Fourier analysis of the data reveals the presence of a scale-invariant pressure fluctuation spectrum in the range between 40 and 90 kpc and is found to be well described by a projected Kolmogorov/Oboukhov-type turbulence spectrum. Deprojection and integration of the spectrum yields the lower limit of ∼10 percent of the total intracluster medium pressure in turbulent form. The results also provide observational constraints on the viscosity of the gas.
The Anatomy of American Football: Evidence from 7 Years of NFL Game Data

How much does a fumble affect the probability of winning an American football game? How balanced should your offense be in order to increase the probability of winning by 10%? These are questions for which the coaching staff of National Football League teams have a clear qualitative answer. Turnovers are costly; turn the ball over several times and you will certainly lose. Nevertheless, what does “several” mean? How “certain” is certainly? In this study, we collected play-by-play data from the past 7 NFL seasons, i.e., 2009–2015, and we build a descriptive model for the probability of winning a game. Despite the fact that our model incorporates simple box score statistics, such as total offensive yards, number of turnovers etc., its overall cross-validation accuracy is 84%. Furthermore, we combine this descriptive model with a statistical bootstrap module to build FPM (short for Football Prediction Matchup) for predicting future match-ups. The contribution of FPM is pertinent to its simplicity and transparency, which however does not sacrifice the system’s performance. In particular, our evaluations indicate that our prediction engine performs on par with the current state-of-the-art systems (e.g., ESPN’s FPI and Microsoft’s Cortana). The latter are typically proprietary but based on their components described publicly they are significantly more complicated than FPM. Moreover, their proprietary nature does not allow for a head-to-head comparison in terms of the core elements of the systems but it should be evident that the features incorporated in FPM are able to capture a large percentage of the observed variance in NFL games.
Emerging opportunities in Domain Specific Search

The cyber space is exploding in rapidity that nobody has ever imagined, it becomes very essential to search the web of cyber space efficiently and effectively. One solution came up as an resolution to this problem is search engines. By now a lot of commercial business search engines have been put on the market. The web has grown up a lot in terms of search engines. However these search engines sometimes respond with awkward and bulky results, this was unbearable for domain specific experts. Numerous domain specific search engines are being developed using a dedicate hardware and a commercial software. These engines are widely used for variety of purposes and topic specific searches. A domain specific search engine is different from a general web search engine; the domain specific search focuses on a specific segment of online content. They are also called specialty or topical search engines. The domain specific content area may be based on different topics i.e. topicality based, type of media, or type of content. General verticals include shopping, the automotives, legal information, medical, literature, and travel. In this paper we will be studying the changing nature of web search in context to domain specific search[1].
Granulomatous Pododermatitis in the Digits Caused by Fusarium proliferatum in a Cat

ABSTRACT To the best of our knowledge, we present here the first report of a case involving granulomatous pododermatitis caused by Fusarium proliferatum in a 10-year-old female cat. A cutaneous mass developed on the foot-pad of the right hind leg. Nodular granulomatous dermatitis with numerous macrophages and multinucleated giant cells containing cytoplasmic fungal structures were revealed on histological examination. Periodic acid-Schiff reaction and Fungi-Fluor staining clearly revealed irregular, septate fungal hyphae englobed by macrophages and multinucleated giant cells. Polymerase chain reaction and sequence analysis targeting three domains of the extracted fungal DNA revealed 100% amplicon homology with F. proliferatum.
An Upper Bound for the Number of Uniformly Packed Codes

Binary uniformly packed in the narrow sense codes were introduced in 1971 by Semakov, Zinoviev and Zaitsev. Later more general definitions were proposed by Bassalygo, Zaitsev and Zinoviev (uniformly packed in the wide sense codes) and by Goethals and Tilborg (uniformly packed codes). We consider binary uniformly packed in the wide sense codes. These codes are well known for their remarkable properties and have been intensively studied. In this paper we give an upper bound on the number of distinct uniformly packed in the wide sense codes of length n with constant odd minimum distance d and fixed parameters of packing. In particular, we give nontrivial upper bounds on the numbers of Preparata codes with d = 5, primitive BCH codes with d equal to 5 or 7, Goethals codes with d = 7, et al. The result obtained generalizes the upper bound for the number of perfect codes with d = 3 that was derived by Avgustinovich in 1995.
A template matching approach for detecting pronunciation mismatch

In this paper, we study the usefulness of the best path and the complete trellis in dynamic programming based template matching approach for detecting pronunciation mismatch. We show that there exists cues in trellis (a matrix representing all paths), which could be exploited for detecting pronunciation mismatch. Such an approach could be used to build a template based approach for detecting pronunciation mismatch independent of the language.
Does Abstract Mindset Decrease or Increase Deception?

Past research produced mixed results regarding the effect of abstract/concrete mindset on the moral judgment of hypothetical scenarios. I argued that an abstract mindset could decrease or increase deception as different lines of research suggested that the effect could be in both directions. In four experiments, three different paradigms were used to manipulate mindset and its effect on participants’ own deceptive behavior was examined. Abstract mindset manipulation increased the level of deception in Study 1 and 2, but not in Study 3. Study 4 provided an opposite result as abstractness decreased deception. The results suggested that mindset manipulation might trigger multiple mechanisms having contradictory effects. I argued that future research should account for these mechanisms and individual differences in understanding the effect of abstract mindset on moral decision-making.
Random Quantum Billiards

We present a random matrix model suitable for the quantum mechanical description of a particle confined to move inside a two-dimensional domain. Here, the ensemble average corresponds to an average over domain shapes. Although this approach is formally distinct from that of the familiar Gaussian orthogonal ensemble, there is remarkable agreement in the resulting distributions of level spacings and in the spectral rigidity. We discuss possible applications of this ensemble to the analysis of real data sets.
Mesenchymal stem cells: biology and clinical potential in type 1 diabetes therapy

• Introduction • Biological characterization of mesenchymal stem cells ‐ Isolation and culture of human MSCs ‐ Phenotypic properties of MSCs ‐ Multi‐potent differentiation of MSCs ‐ Immunomodulatory effects of MSCs • Aetiology and current treatment of type 1 diabetes • Mesenchymal stem cells in type 1 diabetes therapy ‐ MSCs with potential to differentiate into insulin‐producing cells ‐ MSCs as cellular vehicle for insulin gene therapy ‐ Induction of IPCs from stem cells by protein transduction technology ‐ Minimum requirements for replacement β‐cells ‐ MSCs for therapeutic neovascularization in type 1 diabetes • Concluding remarks
Dark-Side Personality Trait Interactions: Amplifying Negative Predictions of Leadership Performance

Drawing on trait interaction theory and personality disorder subtypes, we examined narcissism-by-trait interactions (e.g., narcissism × antisocial tendencies) for predicting leadership performance in four independent archival samples (Ns = 285, 120, 106, 559). This study extends research on multiplicative effects of normative leader characteristics to consider how narcissism becomes particularly disruptive when combined with other extreme interpersonal tendencies. Moderated multiple regression results show interactions involving selected trait pairs varied across samples. Pooled analyses showed (a) differential generalizability across trait pairings and (b) that lower tiered managerial roles and weaker industrial contexts may release such effects. Inconsistencies suggest the need to consider sample-specific trait demands in future trait interaction research, normal, or maladaptive. All told, findings suggest that subclinical personality interactions might accelerate leader derailment, offer unique insights into leader competence, and extend trait interaction research to aberrant tendencies.
Loop Kernel Pipelining Mapping onto Coarse-Grained Reconfigurable Architecture for Data-Intensive Applications

Coarse-grained reconfigurable architectures (CGRA) provide flexible and efficient solution for data-intensive applications. Loop kernels of these applications always consume much execution time of the whole program. However, mapping loop kernels onto CGRA is still hard to meet performance/cost constraints. This paper proposes a novel approach for automatically mapping loop kernels onto CGRA with loop selfpipelining to optimize data-intensive applications. The problem formulation is shown first. Then we present the resource sharing and pipelining of lspCGRA, together with its template standard. Further, a loop kernel pipelining mapping is proposed. The conclusions show that our approach gains less resource occupation by 16.3% and more throughputs by 169.1% than previous advanced SPKM.
Bayesian statistical analysis of behavioral facilitation associated with deep rain stimulation nne

Deep brain stimulation (DBS) is an established therapy for Parkinson’s Disease and is being investigated as a treatment for chronic depression, obsessive compulsive disorder and for facilitating functional recovery of patients in minimally conscious states following brain injury. For all of these applications, quantitative assessments of the behavioral effects of DBS are crucial to determine whether the therapy is effective and, if so, how stimulation parameters can be optimized. Behavioral analyses for DBS are challenging because subject performance is typically assessed from only a small set of discrete measurements made on a
Australia Department of Econometrics and Business Statistics Bayesian Analysis of the Stochastic Conditional Duration Model Bayesian Analysis of the Stochastic Conditional Duration Model

A Bayesian Markov Chain Monte Carlo methodology is developed for estimating the stochastic conditional duration model. The conditional mean of durations between trades is modelled as a latent stochastic process, with the conditional distribution of durations having positive support. The sampling scheme employed is a hybrid of the Gibbs and Metropolis Hastings algorithms, with the latent vector sampled in blocks. The suggested approach is shown to be preferable to the quasi-maximum likelihood approach, and its mixing speed faster than that of an alternative single-move algorithm. The methodology is illustrated with an application to Australian intraday stock market data. The authors would also like to thank Ralph Snyder and participants in seminars at Monash University and the 2003 Australasian Meetings of the Econometric Society, for some very helpful comments on an earlier draft of the paper.
(Quantum) twisted Yangians: symmetry, Baxterisation and centralizers

Based on the (quantum) twisted Yangians, integrable systems with special boundary conditions, called soliton nonpreserving (SNP), may be constructed. In the present article we focus on the study of subalgebras of the (quantum) twisted Yangians, and we show that such a subalgebra provides an exact symmetry of the rational transfer matrix. We discuss how the spectrum of a generic transfer matrix may be obtained by focusing only on two types of special boundaries. It is also shown that the subalgebras, emerging from the asymptotics of tensor product representations of the (quantum) twisted Yangian, turn out to be dual to the (quantum) Brauer algebra. To deal with general boundaries in the trigonometric case we propose a new algebra, which also provides the appropriate framework for the Baxterisation procedure in the SNP case.
Miniature Inverted-repeat Transposable Elements (MITEs) and their Relationship with Established DNA Transposons

I. The discovery of MITEs in plant and animal genomes II. Organizing the diversity of MITEs III. The Tc1/mariner superfamily as a source of MITEs A. MITEs related to Tc1/mariner transposons in C. elegans B. MITEs related to Tc1/mariner transposons in humans C. MITEs related to Tc1/mariner transposons in insects D. MITEs related to Tc1/mariner transposons in plants IV. Tourist-like MITEs are related to members of the PIF/Harbinger superfamily A. The maize P Instability Factor (PIF) and the miniature PIF (mPIF) MITE B. PIF-like elements and their MITEs in other organisms V. Other MITEs and nonautonomous DNA transpsons A. Other MITEs B. Helitrons: rolling-circle transposons in eukaryotes VI. A model for the origin of MITEs 3 I. The discovery of MITEs in plant and animal genomes A 128 bp insertion in a mutant maize waxy gene (the wxB2 allele) led to the identification of a group of related elements called Tourist in the untranslated regions of genes from diverse grass species (5, 7). A 257-bp insertion in a sorghum Tourist element led to the discovery of a second family of elements called Stowaway, in the genes of a diversity of flowering plants (6). Tourist and Stowaway elements share structural but not sequence similarity. Both are short (~100 to 500 bp), have conserved terminal repeats, have target site preference (Tourist, TAA; Stowaway, TA) and, of most significance for this chapter, have no coding potential. All of these features are reminiscent of the nonautonomous members of some DNA transposon families. However, it was the high copy number of Tourist and Stowaway elements and the uniformity of related elements that served to set them apart from previously described nonautonomous elements. For this reason, and because they were being mistakenly classified as SINEs, it was decided to name these and other structurally related elements miniature inverted-repeat transposable elements, or MITEs (4, 64). Although first discovered in plants, MITEs were soon found in several animal genomes including C. With the advent of genome sequencing projects, vast amounts of DNA sequence, from a wide variety of plant and animal species, has become available for analysis. MITES, with their high copy number, distinct structural features (target site 4 duplications, TSDs and terminal inverted repeats, TIRs) and compact stature, are relatively easy to mine from DNA sequence databases. As such, the number of MITEs and MITE families has proliferated in the literature much as the MITEs themselves have …
XVL: a compact and qualified 3D representation with lattice mesh and surface for the Internet

Computer graphics systems and CAD/CAM systems are widely used and an abundance of 3D-Data in various fields exists. However, based on the VRML technique, it is difficult to send such 3D-Data through the Internet, because of the large data size. Transmission of practical and highly detailed 3D-Data through the Internet becomes a primary requirement. Therefore, a compact and qualified 3D-Data representation method is greatly required. This paper describes XVL (eXtended VRML with Lattice), a new framework for compact 3D-Data representation with high quality surface shape. By utilizing a free-form surface technique, qualified surfaces are transferred with a limited amount of data size and rendered. Free-form surfaces transferred by an efficient data structure are called lattice structure. This data structure contains only vertices, topologies, and attributes, and can be converted to the original surface. Because the lattice structure is regarded as a polygon mesh, it can be easily integrated to a VRML file. These surfaces and lattice have the same topology and are thus interchangeable in the lattice structure. By using weighting attributes, a sophisticated surface shape can be represented. Some practical XVL applications, such as an intuitive surface design system, are also introduced.
THE EVOLVING ORGANIZATION OF PROFESSIONAL WORK

This paper traces the main lines of evolution of the organization of professional work. The argument is illustrated with material on the case of doctors and hospitals. Market and hierarchy principles have become progressively more salient in professional work; but we argue that in parallel, the community principle has been growing more influential too. Building on Adler and Heckscher (2006), we further argue that professional community is mutating from a Gemeinschaft, craft guild form, via Gesellschaft forms, towards a new, “collaborative” form. This evolution, however, is a difficult one, and the outcome is uncertain. We identify some implications for future research.
DEZENT -- A Cyber-Physical Approach for Providing Affordable Regenerative Electric Energy in the Near Future

Since the past 4-7 years the paradigm of Cyber-Physical Systems has gained growing attention, starting from initiatives taken by US government institutions such as NSF, NIST and other funding agencies. Such software systems were then requested to realize a widest possible correspondence, if not congruence between software system and real-world structures, the latter to be controlled by the software system. We will, in this paper, describe the implications of this comprehensive objective, for the modeling, analyzing, testing and evaluating under a cyberphysical perspective. This will be done by sketching the major development steps within the DEZENT project over the past 7 years, from the early de-sign steps until a large real-world field study in a Southern German region which is already covered with renewable energy by nearly 100%. The emphasis will be on the mutual inspiration between applicational and software-technical constraints and insights, gained by the partners from Computer Science, Electrical Engineering and practitioners who altogether benefitted considerably with respect to their successful cooperation.