Miracle-dz/UniFAR-FTUs huggingface dataset:
A setup for evaluating detectors and descriptors for visual tracking

In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking systems, leading to an increased need for independent comparisons. However, existing evaluations are geared towards object recognition and image retrieval, and their results have limited validity for real-time visual tracking. We present a setup for evaluation of detectors and descriptors which is geared towards visual tracking in terms of testbed, candidate algorithms and performance criteria. Most notably, our testbed consists of video streams with several thousand frames naturally affected by noise and motion blur.
Confucian ritual and solidarity: Physicality, meaning, and connection in classical Confucianism

Consensus scholarship notes that the ethics described in the Confucian textual corpus focuses its attention primarily on concrete relationships, specific roles, and reciprocal duties. This has occasioned concern about whether Confucian ethics can offer adequate moral guidelines for interactions between people who have enjoyed no prior contact. In response, this dissertation suggests that early Confucianism does guide interactions with strangers, but that this guidance is to be found less in its ethical concepts or moral precepts than in its embodied ritual practices. To substantiate this claim, I carefully apply theories drawn from the fields of cognitive science, cognitive philosophy, American pragmatism, and ritual
A wirelessly-powered passive RF CMOS transponder with dynamic energy storage and sensitivity enhancement

A scheme for a wirelessly-powered passive sensor is presented in which the extra received power beyond the sensitivity level is stored and later used to enhance the sensitivity of the wireless sensor. A prototype chip has been designed and fabricated in a 0. 13µm CMOS technology. The measurement results show that the aforementioned energy storage mechanism improves the sensitivity of the wireless sensor from −19.5dBm to −29dBm at 900MHz and from −15.4dBm to −26.5dBm at 2.4GHz.
Perspectives on Health Behavior Theories That Focus on Individuals

Theories that focus on beliefs and actions of individuals were among the first theories of health behavior to be developed and remain the most widely used today. In this chapter, we comment on four theories introduced in Part Two of this book: Health Belief Model, Theory of Planned Behavior, The Transtheoretical Model, and Precaution Adoption Process Model. We discuss why theory is needed, examine some of the strengths and weaknesses of the four theories and consider challenges and opportunities in the field.
Data Modelling in the NoSQL world: A contradiction?

NoSQL systems have recently obtained significant attention, and have been widely used in many development activities. There are many systems in this family, and they are indeed very different from one another, both in the way they allow data to be organized and in the functions they support. As a consequence, many of the NoSQL advocates claim that the traditional notions of model and modeling are not relevant in this area. We argue that, nevertheless, some data modeling issues can be useful, and illustrate two research directions in which we have been involved. First, we show that, as the variety of systems and models can create difficulties in developers and in their organizations, modeling-based approach leverage the search for standardization and uniform access. Second, we argue that data models can provide a basis to the definition of generic approaches to logical and physical design.
The research of software reliability hybrid model based on weighted

In recent years, as software quality is becoming more and more watched, software reliability has also become one of the important fields in software engineering. However, there is no such a reliability model which can provide a general way to estimate software reliability quantitatively. In this paper, a software reliability hybrid model is proposed to combine several current software reliability models by using static weight and dynamic weight.
Viscosity and Anelasticity of Melts.

is the Maxwell relaxation time [24]. This relaxation time is a convenient approximation to the timescale of deformation where the transition from purely viscous behavior to purely elastic behavior occurs. The purely viscous response of a silicate melt is termed “liquid” behavior whereas the purely elastic response is termed “glassy” behavior. The term silicate melt is used to describe molten silicates quite generally, regardless of their rheology. Even for the simple case of a Maxwell body, the change from liquid to glassy behavior does not occur as a sharp transition but rather describes a region of mixed liquid-like and solid-like behavior a region of viscoelasticity. Deformation experiments performed in the viscoelastic region contain three distinct time-resolved components of deformation, instantaneous recoverable, delayed recoverable and delayed non-recoverable. Figure 2 illustrates these components for a creep experiment. Viscous flow is the delayed non-recoverable component, the term anelasticity refers to the instantaneous plus the delayed recoverable deformation and the entire deformation behavior falls under the heading of viscoelasticity [26]. Structural relaxation in silicate melts is but one example of a relaxation mode. It can be mechanically represented as a series combination of viscous dashpot and elastic spring (a Maxwell element, see Figure 3). For more complex materials such as crystal suspensions, foams and partial melts, several additional mechanisms of deformation are contributed at distinct timescales of deformation via additional relaxation modes within and between the added
Ozone Monitoring Instrument geolocation verification

[1] Verification of the geolocation assigned to individual ground pixels as measured by the Ozone Monitoring Instrument (OMI) aboard the NASA EOS-Aura satellite was performed by comparing geophysical Earth surface details as observed in OMI false color images with the high-resolution continental outline vector map as provided by the Interactive Data Language (IDL) software tool from ITT Visual Information Solutions. The OMI false color images are generated from the OMI visible channel by integration over 20-nm-wide spectral bands of the Earth radiance intensity around 484 nm, 420 nm, and 360 nm wavelength per ground pixel. Proportional to the integrated intensity, we assign color values composed of CRT standard red, green, and blue to the OMI ground pixels. Earth surface details studied are mostly high-contrast coast lines where arid land or desert meets deep blue ocean. The IDL high-resolution vector map is based on the 1993 CIA World Database II Map with a 1-km accuracy. Our results indicate that the average OMI geolocation offset over the years 2005–2006 is 0.79 km in latitude and 0.29 km in longitude, with a standard deviation of 1.64 km in latitude and 2.04 km in longitude, respectively. Relative to the OMI nadir pixel size, one obtains mean displacements of � 6.1% in latitude and � 1.2% in longitude, with standard deviations of 12.6% and 7.9%, respectively. We conclude that the geolocation assigned to individual OMI ground pixels is sufficiently accurate to support scientific studies of atmospheric features as observed in OMI level 2 satellite data products, such as air quality issues on urban scales or volcanic eruptions and its plumes, that occur on spatial scales comparable to or smaller than OMI nadir pixels.
An Efficient Multiple Object Vision Tracking System using Bipartite Graph Matching

For application domains like 11 vs. 11 robot soccer league, crowd surveillance and air traffic control, vision systems need to be able to identify and maintain information in real time about multiple objects as they move through an environment using video images. In this paper, we reduce the multi-object tracking problem to a bipartite graph matching and present efficient techniques that compute the optimal matching in real time. We demonstrate the robustness of our system on a task of tracking indistinguishable objects. One of the advantages of our tracking system is that it requires a much lower frame rate than standard tracking systems to reliably keep track of multiple objects.
Design and Implementation of RS (32, 28) Encoder and Decoder Using Cellular Automata

RS (32, 28) code is popularly used for compact disk player. In this work, a modular architecture of RS (32, 28) encoder and decoder employing the regular structure of Cellular Automata (CA) has been proposed. The work also identifies a mistake in an existing related work and recti- fies it for locating double errors. The proposed CA based double error correcting codec can be easily extended to 3, 4, 5 byte error correcting codes. CA-based VLSI design is attractive because of its simplicity, regularity and higher throughput.
Integrated scheduling and register allocation for multicore architecture

Multicore architecture has multiple cores tightly integrated on a single die, with each core having private register files. To maximally utilize the processing power of the architecture, a sequential program is split into small parallel regions to run on different cores. Compile time scheduling and register allocation onto each core can be performed in an integrated manner. For such an integrated approach, an algorithm needs not only to schedule the regions of the program effectively but should also have the ability to detect excessive register demands and to reduce register pressure on the fly. In this paper, an algorithm to perform the integrated instruction scheduling and register allocation without affecting the performance is presented and compared with the normal scheduling approaches.
Reduced Cell Migration and Disruption of the Actin Cytoskeleton in Calpain-deficient Embryonic Fibroblasts*

The physiological functions and substrates of the calcium-dependent protease calpain remain only partly understood. The μ- and m-calpains consist of a μ- or m-80-kDa large subunit (genes Capn1 and Capn2), and a common 28-kDa small subunit (Capn4). To assess the role of calpain in migration, we used fibroblasts obtained fromCapn4−/− mouse embryos. The cells lacked calpain activity on casein zymography and did not generate the characteristic calpain-generated spectrin breakdown product that is observed in wild-type cells. Capn4−/− cells had decreased migration rates and abnormal organization of the actin cytoskeleton with a loss of central stress fibers. Interestingly, these cells extended numerous thin projections and displayed delayed retraction of membrane protrusions and filopodia. The number of focal adhesions was decreased in Capn4−/− cells, but the cells had prominent vinculin-containing focal complexes at the cell periphery. The levels of the focal adhesion proteins, α-actinin, focal adhesion kinase (FAK), spectrin, talin, and vinculin, were the same in Capn4+/+ andCapn4−/− cells. FAK, α-actinin, and vinculin were not cleaved in either cell type plated on fibronectin. However, proteolysis of the focal complex component, talin, was detected in the wild-type cells but not in theCapn4−/− cells, suggesting that calpain cleavage of talin is important during cell migration. Moreover, talin cleavage was again observed when calpain activity was partially restored in Capn4−/− embryonic fibroblasts by stable transfection with a vector expressing the rat 28-kDa calpain small subunit. The results demonstrate unequivocally that calpain is a critical regulator of cell migration and of the organization of the actin cytoskeleton and focal adhesions.
Reflection Properties of a Biaxially Anisotropic Dielectric Film in a Long-Wavelength Approximation

The re∞ection of linearly polarized light from an ultrathin biaxially anisotropic dielectric fllm on an isotropic transparent material is investigated in the long-wavelength limit. The approximate expressions for the re∞ection characteristics of s- and p-polarized electromagnetic plane waves are obtained. The analytical approach developed in this paper not only provides insight into the nature of re∞ection problem for biaxially anisotropic ultrathin fllms but also furnishes the methods for resolving the inverse problem for such anisotropic layers. It is shown that a key capability of the developed analytical method is to decouple the usual correlations in the index and the thickness of ultrathin fllms.
Overexpression and activation of the RON receptor tyrosine kinase in a panel of human colorectal carcinoma cell lines.

RON is a receptor tyrosine kinase belonging to the MET proto-oncogene family. The purposes of this study are to determine the expression and activation of RON in a panel of human colon carcinoma cell lines. Western blotting showed that RON is barely detectable in normal and SV-40-transformed colon epithelial cells, but highly expressed and constitutively activated in several colon carcinoma cell lines including Colo201, HT-29, HCT116, and SW837. Moreover, a novel RON variant with a molecular mass of 160 kDa (RONDelta160) was identified from HT-29 cells. The cDNA encoding RONDelta160 has an in-frame deletion of 109 amino acids in the extracellular domain of the RON beta chain, which is caused by splicing out of two exons in the RON mRNA. No mutations were found in the kinase domain of the RON gene in five carcinoma cell lines screened. By expressing RON in colon epithelial cells, we found that RON activation increases cell motile-invasive activities and protects cells against apoptotic death. These data suggest that RON expression and activation are deregulated in colon carcinoma cell lines. By abnormal activation of RON, this receptor and its variant may regulate motile-invasive phenotypes of certain colon carcinoma cells in vivo.
A QUESTIONNAIRE BASED METHOD FOR CMMI LEVEL 2 MATURITY ASSESSMENT

CMMI has gained widespread acceptance as a viable software process assessment model. In this study, we take up CMMI, and consider the first maturity level or level 2 of the model for companies new to CMMI or just beginning to adopt CMMI in their process improvement efforts. A questionnaire based assessment method was developed primarily intended to be facilitate quick assessment or self assessment of CMMI maturity level 2 of a software company. The questionnaire can also be used for process improvement purposes. The paper reports on the results of conducting the questionnaire at five software companies and discusses its value as an indication of maturity at level 2 of CMMI and draws conclusions.
Electrical networks on n-simplex fractals

The decimation map for a network of admittances on an n-simplex lattice fractal is studied. The asymptotic behaviour of for large-size fractals is examined. It is found that in the vicinity of the isotropic point the eigenspaces of the linearized map are always three for n ⩾ 4; they are given a characterization in terms of graph theory. A new anisotropy exponent, related to the third eigenspace, is found, with a value crossing over from to ln[(n + 2)3/n(n + 1)2]/ln 2.
The role of age, age of Internet access initiation, and time spent online in the etiology of Internet addiction [abstract]

Background and Aims: A relatively large body of studies reported bivariate associations between sociodemographic variables (e.g., age), intensity of internet usage (e.g., hours spent online) and internet addiction (IA). However, only few actually employed more robust statistical approaches (e.g., path analysis) to understand these complex relationships and their possible causal pathways. In the present study, a full structural equation modelling (SEM) model using year of first use of the internet and hours of internet usage per week as mediators of the relationship between age and IA was devised. Methods: A total of 1,105 internet users (Mage= 33; S.D. = 12.31), 36.7% (n = 405) from the US, 30.4% (n = 336) from India, 24.6% (n = 272) from the UK, and 8.3% (n = 92) from other countries were recruited online. In addition to collecting sociodemographic information, participants filled out a newly developed brief measure of IA based on the DSM-5 criteria. Results: After analyzing the full SEM model, partial mediation presented the best overall fit for the data (Satorra-Bentler scaled Δχ2 = 114,62; Δdf = 1; p < .0001), with year of first use of the internet and the hours per week spent surfing mediating the relationship between age and IA. Furthermore, the present model accounted for 18% of the variability in IA. Conclusions: Although diagnosing IA on grounds of non-standardized criteria is not correct from a methodological standpoint, the variables here analyzed may play an important role in the development of IA.
Mapping of Hydrographic Networks from Multispectral Imagery using Neural Networks and Principal Curves

This paper presents two techniques developed in efforts to fully automate the generation of hydrographic maps from remotely sensed imagery. The methods presented here consist of two techniques using self-organizing networks. These experimental techniques have been explored for their application in automated generation of graphical representations of hydrological objects. The first technique involves object extraction from multi-spectral satellite imagery, while the second is required for the automatic mapping of the extracted water basins. These methods effectively manage occlusions and data discontinuities. The experimental test results using Landsat-7 ETM+ images demonstrate the accuracy of the proposed approach and its potential for fully automated mapping of hydrological objects
Cyclic Numerical Time Integration in Variational Non-Rigid Image Registration based on Quadratic Regularisation

In the present work, a novel computational framework for variational non-rigid image registration is discussed. The fundamental aim is to provide an alternative to approximate approaches based on successive convolution, which have gained great popularity in recent years, due to their linear complexity and ease of implementation. An optimise-then-discretise framework is considered. The corresponding Euler-Lagrange equations (ELEs), which arise from calculus of variation, constitute a necessary condition for a minimiser of the variational optimisation problem. The conventional, semi-implicit (SI) time integration for the solution of the ELEs is replaced by an explicit approach rendering the implementation straightforward. Since explicit methods are subject to a restrictive stability requirement on the maximal admissible time step size, they are in general inefficient and prone to get stuck in local minima. As a remedy, we take advantage of methods based on cyclic explicit numerical time integration. With this the strong stability requirement on each individual time step can be replaced by a relaxed stability requirement. This in turn results in an unconditionally stable method, which is as efficient as SI approaches. As a basis of comparison, SI methods are considered. Generalisability is demonstrated within a generic variational framework based on quadratic regularisation. Qualitative and quantitative analysis of numerical experiments based on synthetic test data demonstrates accuracy and efficiency.
Cleavage of Phosphorothioated DNA and Methylated DNA by the Type IV Restriction Endonuclease ScoMcrA

Many taxonomically diverse prokaryotes enzymatically modify their DNA by replacing a non-bridging oxygen with a sulfur atom at specific sequences. The biological implications of this DNA S-modification (phosphorothioation) were unknown. We observed that simultaneous expression of the dndA-E gene cluster from Streptomyces lividans 66, which is responsible for the DNA S-modification, and the putative Streptomyces coelicolor A(3)2 Type IV methyl-dependent restriction endonuclease ScoA3McrA (Sco4631) leads to cell death in the same host. A His-tagged derivative of ScoA3McrA cleaved S-modified DNA and also Dcm-methylated DNA in vitro near the respective modification sites. Double-strand cleavage occurred 16–28 nucleotides away from the phosphorothioate links. DNase I footprinting demonstrated binding of ScoA3McrA to the Dcm methylation site, but no clear binding could be detected at the S-modified site under cleavage conditions. This is the first report of in vitro endonuclease activity of a McrA homologue and also the first demonstration of an enzyme that specifically cleaves S-modified DNA.
Intuitionistic Logic

There are basically two ways to view intuitionistic logic: (i) as a philosoph ical–foundational issue in mathematics, (ii) as a technical discipline within mathematical logic. Let us deal with the philosophical aspects first, they will provide the motivation for the subject. In doing so, we will follow L.E. J. Brouwer, the founding father of intuitionism. Brouwer did contribute little to intuitionistic logic as we know it from text books and papers, but he pointed the way for his successors.
Use of Supercomputing towards the Generation of a Process Execution Plan in Distributed Real-Time Systems

This work consider the scheduling of periodic tasks or processes with real-time constraints in a distributed environment. Each task must be executed meeting deadlines, precedence relationships and resources constraints. The problem of scheduling tasks on a distributed environment can be viewed as a problem of assigning processes to the processors but keeping the schedulability in local environments. Thus, the problem can be divided in two phases: the first phase is assigning processes to processors and the second is to schedule assigned processes in each processor in the distributed environment. This paper focuses in the first phase. It introduces a heuristic mechanism for assigning processes in a distributed environment with real-time constraints. The heuristic mechanism has two alternative ways to perform: one takes into account the utilization factor and the other considers period. The performance of both alternatives proposed is evaluated via simulation on a high performance-computing platform.
Sandwiching random graphs : universality between random graph models

The goal of this paper is to establish a connection between two classical models of random graphs: the random graph Gðn; pÞ and the random regular graph GdðnÞ: This connection appears to be very useful in deriving properties of one model from the other and explains why many graph invariants are universal. In particular, one obtains one-line proofs of several highly non-trivial and recent results on GdðnÞ: r 2003 Elsevier Inc. All rights reserved. MSC: 05C80; 60C05; 74H50
Four-Dimensional Data Assimilation and Numerical Weather Prediction

All forecast models, whether they represent the state of the weather, the spread of a disease, or levels of economic activity, contain unknown parameters. These parameters may be the model's initial conditions, its boundary conditions, or other tunable parameters which have to be determined. Four dimensional variational data assimilation (4D-Var) is a method of estimating this set of parameters by optimizing the fit between the solution of the model and a set of observations which the model is meant to predict. The four dimensional nature of 4D-Var reflects the fact that the observation set spans not only three dimensional space, but also a time domain. Although the method of 4D-Var described in this report is not restricted to any particular system, the application described here has a Numerical Weather Predic- tion (NWP) model at its core, and the parameters to be determined are the initial conditions of the model. The purpose of this report is to give a survey covering assimilation of Doppler radar wind data into a high-resolution NWP model. Some associated problems, such as sensitivity to small variations in the initial conditions or due to small changes in the background variables, and biases due to nonlinearity are also studied.