Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring celebrity dynamics on Twitter

"A celebrity is the person who is well-known for their well-knownness". A person achieves celebrity status by achieving something extra-ordinary in a specific domain. People often show more interest in the personal aspect of the celebrity more than celebrities accomplishment. Any activity by the celebrities tend to get lots of attention. With social media, it often goes viral. In this paper, we look into the social psychology behind the concept of celebrities, and explore several heuristics for understanding the dynamics celebrity notion on Twitter.
Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse

The Mouse Genome Database (MGD: http://www.informatics.jax.org) is the primary community data resource for the laboratory mouse. It provides a highly integrated and highly curated system offering a comprehensive view of current knowledge about mouse genes, genetic markers and genomic features as well as the associations of those features with sequence, phenotypes, functional and comparative information, and their relationships to human diseases. MGD continues to enhance access to these data, to extend the scope of data content and visualizations, and to provide infrastructure and user support that ensures effective and efficient use of MGD in the advancement of scientific knowledge. Here, we report on recent enhancements made to the resource and new features.
I Know You Are But What Am I?!: Neural Bases of Self- and Social Knowledge Retrieval in Children and Adults

Previous neuroimaging research with adults suggests that the medial prefrontal cortex (MPFC) and the medial posterior parietal cortex (MPPC) are engaged during self-knowledge retrieval processes. However, this has yet to be assessed in a developmental sample. Twelve children and 12 adults (average age = 10.2 and 26.1 years, respectively) reported whether short phrases described themselves or a highly familiar other (Harry Potter) while undergoing functional magnetic resonance imaging. In both children and adults, the MPFC was relatively more active during self- than social knowledge retrieval, and the MPPC was relatively more active during social than self-knowledge retrieval. Direct comparisons between children and adults indicated that children activated the MPFC during self-knowledge retrieval to a much greater extent than adults. The particular regions of the MPPC involved varied between the two groups, with the posterior precuneus engaged by adults, but the anterior precuneus and posterior cingulate engaged by children. Only children activated the MPFC significantly above baseline during self-knowledge retrieval. Implications for social cognitive development and the processing functions performed by the MPFC are discussed.
MitiBox: camouflage and deception for network scan mitigation

Reconnaissance, if successful, provides a definite tactical advantage in a battle and, as such, unsolicited computer network scans are often the precursors to more significant attacks against computer assets. In this paper, we introduce an original system whose purpose is to mitigate the benefits an attacker can expect from scanning a targeted network. In contrast to more traditional approaches, we propose to act a priori against scanning activity by continuously obfuscating the appearance of the targeted network through the combination of various simple mechanisms (i.e. random connection dropping and traffic forging). Moreover, we propose a method to immediately penalize hosts sending seemingly suspicious traffic to the targeted network while maintaining decent connectivity to cope with "false positives".
Full wave vector Maxwell equation simulation of nonlinear self-focusing effects in three spatial dimensions

In our effort to meet an increasing demand for more accurate and realistic nonlinear optics simulations, we have developed a nonlinear hybrid vector finite element method (NL-HVFEM) to study different phenomena due to wave propagation in waveguides filled with nonlinear Kerr-type media. Contrary to the most existing scalar models, the NL-HVFEM approach is based upon the vector Helmholtz equation and thus can predict the vectorial properties of fields in nonlinear media. We describe the NL-HVFEM approach and apply it to study nonlinear self-focusing effects in nonlinear waveguides. The numerical results of the evolution of the beam self-focusing are also included. Also, we summarized conditions under which electromagnetic beam can produce its own dielectric waveguide and propagate without spreading.
Descry and Divulge Hitch by Using Hitch Entrapment-Bug Catcher

Based on the recent survey they used to track the bugs which are stored for further uses. The system is updated with new data by the technician. To overcome this situation hitch entrapment is proposed to make testing session productive and record the details to aid the development team for quick Resolution. This work is associated with developer, tester and admin. This tool allows the developer and tester to post the queries and screenshots of their program and Admin will monitor the whole process.
Mechanics of a particle in a gauge field

Classical motion of a charged particle in an electromagnetic field is described by the Lorentz equation in terms of the field components. The field is defined by the infinitesimal gauge group elements associated with closed curves. The Lorentz equation may be derived from the action principle with an appropriate Lagrangian. The Lagrangian may also be used to associate group elements with curves in the space-time manifold. The action principle is shown here to be an equivalence relation between the infinitesimal elements so defined for a collection of closed curves and the identity element. This suggests a natural extension to require the equivalence of global elements with the identity and by considering all curves. The resulting equation, in addition to providing an extension of the Lorentz equation, also admits a straightforward generalization to non-Abelian gauge fields. The extended equation has an infinite number of trajectories as solutions. The properties of these paths are shown to impart wavelike.
Quantum Metamorphosis of a Conformal Transformation in D3-Brane Yang-Mills Theory

We show how the linear special conformal transformation in four-dimensional $N\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}4$ super-Yang-Mills theory is metamorphosed into the nonlinear and field-dependent transformation for the collective coordinates of Dirichlet 3-branes, which agrees with the transformation law for the space-time coordinates in the anti\char21{}de Sitter (AdS) space-time. Our result provides a new and strong support for the conjectured relation between ${\mathrm{AdS}}_{5}\ifmmode\times\else\texttimes\fi{}{\mathrm{S}}^{5}$ supergravity and super-Yang-Mills theory (SYM). Furthermore, our work sheds elucidating light on the nature of the AdS/SYM correspondence.
Recruitment rate, feasibility and safety of power training in individuals with Parkinson's disease: a proof-of-concept study.

BACKGROUND It has been suggested that power training should be implemented in interventions in Parkinson's disease (PD). However, it is necessary to determine the feasibility and safety of training rapid movements in such individuals. OBJECTIVES To determine the rate of recruitment of potential participants, the rate of attendance at training sessions, the levels of adherence to the intervention, and the rate of adverse events. METHOD Patients with PD, users of the national public health system underwent power training of the lower limb muscles three times a week for 10 weeks. The number of people who were screened and recruited was recorded, as well as the rate of attendance at the training sessions and adherence to the intervention protocol. Safety was assessed by the presence of adverse events, pain, number of falls, and risk of injury associated with the intervention. RESULTS Over the course of eight months, 62 individuals were screened and only 13 completed the program. The rates of attendance and adherence were 88% and 97%, respectively. There were no adverse events during training. Two participants reported joint pain and one reported falls during the training period. CONCLUSIONS The recruitment rate was low due to the subjects' difficulties with transportation and lack of interest. The high rates of adherence and attendance and the absence of adverse events suggest that power training is feasible and safe in PD.
The overview of damping methods for three-phase grid-tied inverter with LLCL-filter

Compared with LCL filter, an LLCL-filter is characterized with smaller size and lower cost for grid-connected inverters. But this high order filter may also have resonant problem which will affect the system stability. Many methods can be used to alleviate the resonant problem including active damping, passive damping or even without damping if it is designed conservative. In this paper, an overview of damping methods for three-phase voltage-source grid-tied with LLCL-filter is given. This paper also analyzes damping principle of each method including passive damping and active damping and shows the advantages as well as disadvantages of these methods.
The scale of market quakes

We define a methodology to quantify market activity on a 24 hour basis by defining a scale, the so-called scale of market quakes (SMQ). The SMQ is designed within a framework where we analyse the dynamics of excess price moves from one directional change of price to the next. We use the SMQ to quantify the FX market and evaluate the performance of the proposed methodology at major news announcements. The evolution of SMQ magnitudes from 2003 to 2009 is analysed across major currency pairs. PACS : 89.65. Gh, 89.75. Da, 89.75. Fb. JEL: C53, D40, E32, E37, G01.
A Contemporary Approach for ECG Signal Compression Using Wavelet Transforms

Signal compression is an important problem encountered in many applications. Various techniques have been proposed over the years for addressing the problem. In this project Transform based signal compression is proposed. This method is used to exploit the redundancy in the signal. This Paper uses Wavelet Transform to compress the signals. We compare the two existing wavelet methods with the proposed algorithm to determine which of them has better compression ratio (CR) and percent root mean square difference (PRD). The proposed method is significantly more efficient in compression, computation and it can attain exact bit rate control and generate a bit streams progressive in quality.In order to assess the performance of the algorithm the data sequences are taken from MIT-BIH and AHA arrhythmia database.
Wavelet based OFDM system over flat fading channel using NLMS equalization

Wavelet transformation based OFDM has took place in wireless communication due to its time-frequency localization, bit error rate improvement, interference minimization, improvement in bandwidth efficiency with respect to conventional OFDM. DWT OFDM don't need of cyclic prefix (CP). This paper presents that bit error ratio is reduces much better due to NLMS algorithm based channel estimation than flat fading that can be modeled by Rayleigh and Rician in which later gives the improved results.
CarCoach: a generalized layered architecture for educational car systems

Car accidents are a major concern. Consequently, a lot of research is carried out on car user interfaces. For each such research, usually a special simulator or car is developed, algorithms and tools are redeveloped, and similar issues arise. We propose CarCoach, an educational car system, based on a generalized layered architecture. We present the system design, the intelligent modular architecture, its layers, including details of some of its relevant modules. Using the Chrysler 300M IT-Edition car as a platform, a prototype was implemented and initial experimentation was carried out and is reported. We demonstrate that CarCoach provides a flexible environment for car research and support of varied car applications.
A Priority Based Distributed Deadlock Detection Algorithm

Deadlock handling is an important component of transaction management in a database system. In this paper, we contribute to the development of techniques for transaction management by presenting an algorithm for detecting deadlocks in a distributed database system. The algorithm uses priorities for transactions to minimize the number of messages initiated for detecting deadlocks. It does not construct any wait-for graph but detects cycles by an edge-chasing method. It does not detect any phantom deadlock (in the absence of failures), and for the resolution of deadlocks it does not need any extra computation. The algorithm also incorporates a post-resolution computation that leaves information characterizing dependence relations of remaining transactions of the deadlock cycle in the system, and this will help in detecting and resolving deadlocks which may arise in the future. An interesting aspect of this algorithm is that it is possible to compute the exact number of messages generated for a given deadlock configuration. The complexity is comparable to the best algorithm reported. We first present a basic algorithm and then extend it to take into account shared and exclusive lock modes, simultaneous acquisition of multiple locks, and nested transactions.
Lowering the Technical Skill Requirements for Building Intelligent Tutors: A Review of Authoring Tools

Educational technologies have come to play an important role in advancing the science of learning. By consistently applying a set of pedagogical policies (and not getting tired while doing so), educational technologies can be used to address precise questions about how people learn and how to best help them. The resulting findings often answer important questions about human learning, which, in turn, can positively influence the design of future educational technologies or even possibly educational practices. A second way learning science researchers seek to have impact is by getting the technology in the hands of as many learners as possible. Unfortunately, with more users come more requirements, and therefore, additional questions educational software designers need to address. For example, can a system be tailored to the specific needs of a class, teacher, or individual learner? Can it be used in a new task domain? Is it possible to reorganize or create new course content? Can the pedagogical approach and/or content embedded in the system be adjusted or even replaced? Sadly, but understandably, software that is created for lab studies or specific end-user needs do not often address these questions. If the aim is to “go big,” then it is no longer feasible to create one system suited for all needs tools for configuring and creating content are a requirement.
Perceptually weighted distortion measure in low bitrate block-based video coders

Visual artifacts found in videos compressed at low bitrates may be the results of various decisions made in the encoding process. Although many post-processing techniques are available to detect and reduce such artifacts, they often lead to undesired blurriness and require extensive computations. A better approach is to avoid such artifacts in the first place by making better decisions in the encoding process. In this paper, a perceptually weighted distortion (PWD) measure is presented. This distortion measure, which outperforms the conventional distortion measures in terms of subjective quality, leads to an acceptable increase in computational complexity.
Field Strengths of Linearized 5D, N = 1 Superfield Supergravity On a 3-Brane

Recently a description of linearized 5D supergravity in 4D, = 1 superspace was presented. By analyzing the on-shell component lagrangian, this description was proven to be Lorentz invariant in five dimensions. This paper describes a geometric formulation of the 5D supergravity in 4D, = 1 superspace. Using this new formalism, the on-shell structure of the previous description is verified from purely superspace methods. This geometric description provides a connection to dimensionally reduced manifestly supersymmetric 5D supergravity.
Structural Modeling of Family Function and Drug Craving in Addicted People under Methadone Maintenance Treatment with an Emphasis on the Mediating Role of Self-Compassion

Tosifian, N. M.A. in Clinical Psychology, Department of Clinical Psychology, Allameh Tabataba'i University, Tehran, Iran Ghaderi Begeh-Jan, K. Ph.D. Student of Psychology, Department of Clinical Psychology, Allameh Tabataba'i University, Tehran, Iran Khaledian, M. Instructor, Department of Psychology, Payame Noor University, Tehran, Iran, Email: mohamad_khaledian22@yahoo.com Farrokhi, NA. Associate Professor, Department of Educational Psychology, Allameh Tabataba'i University, Tehran, Iran
Se p 20 05 M-theory and the Gross-Neveu model in 2 + 1 dimensions

We discuss a connection between M -theory and the Gross-Neveu model with fermionic fields obeying periodic boundary conditions in 2 + 1 dimensions. In the large-N limit, the latter may be obtained from the former in the limit of vanishing volume of the Liouville dimension. We show how the world-sheet cosmological constant may be obtained from the Gross-Neveu model. At its critical point, which is given in terms of the golden mean, the values of the vacuum energy and of the cosmological constant are 4/5 and 2/5 of the corresponding values at infinite string coupling constant. E-mail: petkou@physics.uoc. gr E-mail: siopsis@tennessee.edu
Pervasive Bias: An Obstacle to Obesity Solutions

In the ongoing work on critical issues in obesity, the neglected problem of societal bias, stigma, and discrimination toward individuals with obesity impedes progress toward evidence-based solutions. Much of this bias and discrimination stems from negative stereotypes that persons with obesity are lazy, gluttonous, lacking in willpower and discipline, and personally to blame for their weight. National estimates indicate that the prevalence of weight discrimination has significantly increased in recent decades and is comparable to rates of racial discrimination. This form of bias is pervasive in many domains of living, including employment settings, health care, educational institutions, the media, and interpersonal relationships. 3 In addition to perpetuating social and economic inequalities for individuals with obesity, weight bias leads to adverse health consequences for both children and adults. Experiencing weight bias or discrimination increases risk for a range of negative consequences for emotional health, including depression, anxiety, suicidality, and substance use. Weight bias also has significant implications for physical health and obesity, as those who face weight bias are more likely to avoid health care, engage in unhealthy and disordered eating behaviors, increase food consumption, avoid physical activity, experience elevated physiological stress, and have an increased risk of becoming and remaining obese over time. Evidence consistently points to the conclusion that weight bias impairs health. Pervasive bias interferes The views expressed in this commentary are those of the authors and not necessarily of the authors’ organizations or of the Institute of Medicine. The commentary is intended to help inform and stimulate discussion. It has not been subjected to the review procedures of the Institute of Medicine and is not a report of the Institute of Medicine or of the National Research Council.
Deciding the VapnikCervonenkis Dimension is ? p 3 -complete

Linial et al. raised the question of how difficult the computation of the Vapnik-Červonenkis dimension of a concept class over a finite universe is. Papadimitriou and Yannakakis obtained a first answer using matrix representations of concept classes. However, this approach does not capture classes having exponential size, like monomials, which are encountered in learning theory. We choose a more natural representation, which leads us to redefine the vc dimension problem. We establish that vc dimension is Σp3 -complete, thereby giving a rare natural example of a Σ p 3 -complete problem.
H i absorption in radio galaxies: effect of orientation or interstellar medium?

A search for H i absorption has been made in 23 radio galaxies selected from a complete sample. The observations were made with the Australia Telescope Compact Array (ATCA), with the Very Large Array (VLA) and for one galaxy with the Westerbork Synthesis Radio Telescope (WSRT). In five galaxies H i absorption was detected. We investigate how the detection rate is distributed among galaxies with different radio and optical properties. Among the Fanaroff–Riley (FR) type I radio galaxies, only one object (10 per cent of the total) was detected in H i absorption. The H i absorption in these objects is likely to come from a nuclear disc, as found for other galaxies of this type (e.g. NGC 4261 and Hydra A). The low detection rate is consistent with the hypothesis (as suggested by optical and X-ray data) that the ‘standard’ parsec-scale, geometrically thick torus is not required in low-luminosity radio galaxies. This is consistent with earlier optical work. In the case of FR type II powerful radio galaxies, no H i absorption has been detected in broad-line radio galaxies, while three out of four narrow-line radio galaxies have been detected (the one non-detection having quite a high upper limit). All of these are compact or small radio galaxies. To first order this is consistent with the predictions of the unified schemes, assuming that the H i absorption is caused by an obscuring torus. However, the indications of this being the only cause of the absorption are not very strong. In particular, we find that in two of the three detected objects the H i is blueshifted compared with the systemic velocity. In the third galaxy (PKS 1549–79) two redshift systems (from the optical lines) are found. The uncertainty in the systemic velocity derived from optical lines is discussed. Finally, by also considering data available in the literature, we find a tendency for radio galaxies with a strong component of young stellar population and far-infrared emission to show H i absorption. The overall richer interstellar medium that is likely to be present in these galaxies may be a factor in producing the absorption.
Bone Marrow MicroRNA-335 Level Predicts the Chemotherapy Response and Prognosis of Adult Acute Myeloid Leukemia

AbstractThe aim of this study was to investigate the role of microRNA-335 (miR-335) in determining the treatment response and prognosis in adult acute myeloid leukemia (AML) patients receiving the cytarabine (Ara-C)-based chemotherapy.A total of 204 adult AML patients were collected. The miR-335 levels in serum and bone marrow samples from these patients were determined. All patients received Ara-C-based standard induction chemotherapy regimens. The treatment response to Ara-C-based chemotherapy was evaluated. All patients were followed for prognostic analyses.The levels of miR-335 in bone marrow and serum samples from adult AML patients achieving complete response were significantly higher than those without. The serum miR-335 level was not associated with the chemotherapy response and prognosis in these AML patients. In contrast, high bone marrow miR-335 level was significantly associated with a poor treatment response and also predicted a worse prognosis indicated by the relapse-free survival and overall survival periods in adult AML patients receiving Ara-C-based chemotherapy.Our finding suggests that bone marrow miR-335 level may be used as a marker to predict the chemotherapy response and prognosis in adult AML patients.