Miracle-dz/UniFAR-FTUs huggingface dataset:
A new large species of Myloplus (Characiformes, Serrasalmidae) from the Rio Madeira basin, Brazil

Abstract Myloplus zorroi sp. n. is described from the Rio Madeira Basin in Amazonia. The new species had been treated as an undescribed Tometes species because of the absence of a marked abdominal keel and few small spines forming its prepelvic serrae, features commonly found in the species of the Myleus clade of the Serrasalmidae (species of genera Myleus, Mylesinus, Ossubtus and Tometes) and also in species of Utiaritichthys. Myloplus zorroi sp. n. shares the following characters with its congeners and Utiaritichthys: molariform teeth (versus incisiform teeth in Myleus clade members); a labial row of premaxillary teeth separated from lingual row by an internal gap (versus absence of internal gap between premaxillary teeth rows); and an ascending process of premaxilla wide from its base to the tip (versus ascending process tapering from its base to the tip). Like other Myloplus species, Myloplus zorroi sp. n. differs from Utiariticthys by having a deeper body, approximately 60% of standard length (versus usually less than 50% of standard length). Considering all the morphological evidence, including the presence of 13–19 low spines forming the prepelvic serrae in Myloplus zorroi sp. n. versus more than 20 high spines forming a marked prepelvic keel in other species of Mylopus, the new species is here assigned to Myloplus. Comparisons of the new species with nominal species of Myloplus, representatives of the Myleus clade, and other related taxa are provided.
Photonic generation of microwave pulses using Stimulated Brillouin Scattering (SBS)-based carrier processing and data transmission for Radio over Fiber (RoF) systems

An optical microwave and millimeter-wave generation in a fiber optic communication link by heterodyning the output modes based on Stimulated Brillouin Scattering (SBS). The link resides of a 1552.52 nm DFB Laser diode, Mach Zehnder modulator (MZM), 40 Km single mode fiber and Optical receiver. The receiver has a high power optical pump source, a data recovery unit and a Bandpass filter. Finally, we build a Radio over Fiber system through simulation, and the transmission performance of the generated optical MMW signal is presented.
The Relationship between Serum Endocan Levels and Depression in Alzheimer's Disease

Objectives. Growing evidence suggests that angiogenic vascular factors may be involved in the pathogenic mechanism of Alzheimer's disease (AD), and recently endocan has been proposed as an angiogenic biomarker. The aim of this study was to measure serum endocan levels according to the presence of depression in AD and to investigate the association among the serum endocan levels, cognitive function, and depression in these patients. Methods. Serum endocan levels were measured in 26 AD patients with depression, 29 AD patients without depression, and 29 healthy controls using an enzyme-linked immunosorbent assay kit. The Mini-Mental State Examination-Korean version (MMSE-KC) and the Korean version of the Geriatric Depression Scale-Short Form (SGDS-K) were used to evaluate cognitive function and depressive symptoms, respectively. Results. Serum endocan levels were significantly lower in AD patients with depression than in AD patients without depression or healthy controls. Serum endocan levels were negatively correlated with SGDS-K scores but not with MMSE-KC scores in AD patients. Conclusions. This study suggests that serum endocan levels might be associated with depression in AD. Future studies are needed to investigate the pathophysiological mechanisms or the role of endocan in AD with depression.
Comparison and evaluation of multiple sequence alignment tools in bininformatics

Comparison and alignment of a series of protein and DNA sequences were among the first and are now established as the most powerful and frequently used bioinformatics methods. A variety of computational algorithms and programs have been created for this purpose. Decision about which tools to use is one of the important problems for bioinformaticians, especially for the majority of biologists who are non-specialist users. Therefore, a comparisons study for the different multiple sequence alignment tools (MSA) is necessary for the biologists and bioinformaticians to use the proper software that interprets correctly their biological data. This study addresses this critical issue in relation to MSA algorithms by systematically comparing and evaluating the functionality, usability and the algorithms of three famous multiple sequence alignment tools. A novel method was proposed for qualifying the MSA tools result by using Scorecons server to compute the conservation scores which was named SCS method (ScoreCons Server method). Furthermore, to assert the accuracy of this method for evaluating the quality of MSA tools, the results were compared with the results of SPS and CS. Finally, based on the achievement some considerations in choosing the proper MSA tools were proposed.
The `LEP paradox'

Is there a Higgs? Where is it? Is supersymmetry there? Where is it? By discussing these questions, we call attention to the `LEP paradox', which is how we see the naturalness problem of the Fermi scale after a decade of electroweak precision measurements, mostly done at LEP.
Do Connections Always Help? Network Brokerage’s Negative Impact on the Emergence of Status

Abstract This article explores the contingent role that social ties play in the emergence of status hierarchies. We argue that, while status is formed based on actors’ perception and understanding of social cues, network structure, and position influence this process by influencing the attention and legitimacy given to the focal actor in accordance with social cues that signal an actor’s identity. Using a large data set from an open-source software development community, we find that a broker linking diverse network members is less likely to receive status ratings from others and that the rating is more likely to be low when a broker receives a rating. Furthermore, we find evidence that the effects of brokerage are contingent upon certain factors that may affect the attention and legitimacy given to actors in the process of status evaluation, such as the actor’s prior status. An actor’s prior status was found to weaken the negative effect of brokerage. The importance of this study for theories of status, social networks, and attention is discussed.
Institutional and Value Support for Cultural Pluralism Is Stronger in Innovative Societies With Demanding Climate

Past research shows that democracy is valued more in affluent societies with challenging climate than in other societies. Building on this finding, the present study examines how the amount of institutional and value support for cultural pluralism in a society is related to its climate and level of innovation performance. Cultural pluralism is defined as the societal condition in which minority groups within a society can maintain their distinctive cultural identities, values, and practices provided that they are consistent with the laws and values of the wider society. Institutions and values that support cultural pluralism include political democracy, tolerance for uncertainty, prioritization of secular-rational values, and openness to foreign cultures. I hypothesize that institutional and value support for cultural pluralism is stronger in societies with more challenging climate and higher innovation performance. I tested this hypothesis using society-level measures of harshness of climatic condition and innovation performance as predictors. The results showed that in societies with demanding climate and high innovation performance, their citizens tend to support democracy, are more tolerant of uncertainty, prioritize secular-rational values, and take more leisure trips outside of their home country. These results illustrate that innovation, through its moderation effect on climate, predicts the amount of institutional and value support for cultural pluralism, highlighting the reciprocal effects of culture and innovation.
Emergence: a paradigm for robust and scalable distributed applications

Natural distributed systems are adaptive, scalable and fault-tolerant. Emergence science describes how higher-level self-regulatory behaviour arises in natural systems from many participants following simple rule-sets. Emergence advocates simple communication models, autonomy and independence, enhancing robustness and self-stabilization. High-quality distributed applications such as autonomic systems must satisfy the appropriate nonfunctional requirements which include scalability, efficiency, robustness, low-latency and stability. However the traditional design of distributed applications, especially in terms of the communication strategies employed, can introduce compromises between these characteristics. This paper discusses ways in which emergence science can be applied to distributed computing, avoiding some of the compromises associated with traditionally-designed applications. To demonstrate the effectiveness of this paradigm, an emergent election algorithm is described and its performance evaluated. The design incorporates nondeterministic behaviour. The resulting algorithm has very low communication complexity, and is simultaneously very stable, scalable and robust.
Combining Design and Performance in a Data Visualization Management System

htmlabstractInteractive data visualizations have emerged as a prominent way to bring data exploration and analysis capabilities to both technical and non-technical users. Despite their ubiquity and importance across applications, multiple design- and performance-related challenges lurk beneath the visualization creation process. To meet these challenges, application designers either use visualization systems (e.g., Endeca, Tableau, and Splunk) that are tailored to domain-specific analyses, or manually design, implement, and optimize their own solutions. Unfortunately, both approaches typically slow down the creation process. In this paper, we describe the status of our progress towards an end-to-end relational approach in our data visualization management system (DVMS). We introduce DeVIL, a SQL-like language to express static as well as interactive visualizations as database views that combine user inputs modeled as event streams and database relations, and we show that DeVIL can express a range of interaction techniques across sever
SMMCOA: Maintaining Multiple Correlations between Overlapped Attributes Using Slicing Technique

--Knowledge discovery is the most discussed topic now a day. Data which is collected from various resources are processed through various stages and the output of this process is the knowledge which is previously hidden. Basically data mining is a technique whose outputs are previously unknown and potentially useful information from data. There are several challenges of data mining are scalability, dimensionality, complex and heterogeneous data, data quality, data distribution and ownership, privacy preserving etc. This paper proposed a new model for privacy preserving data publishing named as Maintaining Multiple Correlations between Overlapped Attributes Using Slicing Technique. In slicing data is portioned in both way vertically and horizontally manner and Bucketization is applied in this resultant. This model is used to prevent against attribute correlation distortion. This paper shows the drawbacks of slicing and proposed a novel model to overcome these drawbacks, the proposed system generates uniform and efficient results even for overlapped attributes.
How Related Multiscreening Could Positively Affect Advertising Outcomes

The use of multiple screens, also known as multiscreening, is assumed to have detrimental consequences for advertising outcomes. However, many people are engaging in this form of media multitasking on a daily basis. Therefore, it is important to focus on how to improve the effectiveness of advertisements when multiscreening. The aim of this study is to examine a key facilitator of advertising effects when multiscreening, namely task relevance. In two separate experiments—an online study (n = 280) and a laboratory (n = 185) study—we showed that people who engage in related multiscreening have better brand memory and more positive brand attitudes than people who engage in unrelated multiscreening via attention and subsequent program involvement. The results of the current study contribute to our understanding of multiscreening and advertising effects by showing that multiscreening does not always have to be detrimental to advertising effects. Furthermore, this study is unique because it combines two methodological approaches of multiscreening research.
Fool Me If You Can: Mimicking Attacks and Anti-Attacks in Cyberspace

Botnets have become major engines for malicious activities in cyberspace nowadays. To sustain their botnets and disguise their malicious actions, botnet owners are mimicking legitimate cyber behavior to fly under the radar. This poses a critical challenge in anomaly detection. In this paper, we use web browsing on popular web sites as an example to tackle this problem. First of all, we establish a semi-Markov model for browsing behavior. Based on this model, we find that it is impossible to detect mimicking attacks based on statistics if the number of active bots of the attacking botnet is sufficiently large (no less than the number of active legitimate users). However, we also find it is hard for botnet owners to satisfy the condition to carry out a mimicking attack most of the time. With this new finding, we conclude that mimicking attacks can be discriminated from genuine flash crowds using second order statistical metrics. We define a new fine correntropy metrics and show its effectiveness compared to others. Our real world data set experiments and simulations confirm our theoretical claims. Furthermore, the findings can be widely applied to similar situations in other research fields.
Public stigma associated with mental illnesses in Pakistani university students: a cross sectional survey

Background. The objectives of the study were to explore the knowledge and attitudes of Pakistani university students toward mental illnesses. People with mental illnesses are challenged not only by their symptoms but also by the prejudices associated with their illness. Acknowledging the stigma of mental illness should be the first essential step toward devising an appropriate treatment plan. Methods. A cross-sectional survey was conducted at the University of Punjab, Lahore, CMH Lahore Medical and Dental College, Lahore, and University of Sargodha, Sub-campus Lahore, from February to May 2014. The self-administered questionnaire consisted of three sections: demographics, general knowledge of psychiatric illnesses, and Community Attitudes towards Mental Illnesses (CAMI) Scale. The questionnaire was distributed to 650 participants enrolled in different disciplines (Social Sciences, Medicine and Formal Sciences). Results. Response rate was 81% (527/650 respondents). Mean age was 20.98 years. Most of the students (331, 62.8%) had an urban background and studied Social Sciences (238, 45.2%). Four hundred and eighteen respondents (79.3%) considered religion very important and most respondents considered psychiatrists (334, 63.4%) and spiritual leaders (72, 13.7%) to be best able to treat mental illnesses. One hundred and sixty nine respondents (32.1%) considered black magic to be a cause of mental illness. Only 215 (41%) respondents had ever read an article on mental illnesses. Multiple regression analysis revealed study discipline, exposure, perceived causes of mental illnesses and superstitions to be significantly associated with attitudes towards mental illnesses (p < .05). Conclusion. Although low awareness and exposure were found in this sample of Pakistani university students, their attitude towards mental illnesses was generally positive. Most respondents gave supernatural explanations for mental illnesses but only a few believed that spiritual leaders can play a role in treatment.
Error exponents for entanglement concentration

Consider entanglement concentration schemes that convert n identical copies of a pure state into a maximally entangled state of a desired size with success probability being close to one in the asymptotic limit. We give the distillable entanglement, the number of Bell pairs distilled per copy, as a function of an error exponent, which represents the rate of decrease in failure probability as n tends to infinity. The formula fills the gap between the least upper bound of distillable entanglement in probabilistic concentration, which is the well-known entropy of entanglement, and the maximum attained in deterministic concentration. The method of types in information theory enables the detailed analysis of the distillable entanglement in terms of the error rate. In addition to the probabilistic argument, we consider another type of entanglement concentration scheme, where the initial state is deterministically transformed into a (possibly mixed) final state whose fidelity to a maximally entangled state of a desired size converges to one in the asymptotic limit. We show that the same formula as in the probabilistic argument is valid for the argument on fidelity by replacing the success probability with the fidelity. Furthermore, we also discuss entanglement yield when optimal success probability or optimal fidelity converges to zero in the asymptotic limit (strong converse), and give the explicit formulae for those cases.
Approaches to uncovering cancer diagnostic and prognostic molecular signatures

The recent rapid development of high-throughput technology enables the study of molecular signatures for cancer diagnosis and prognosis at multiple levels, from genomic and epigenomic to transcriptomic. These unbiased large-scale scans provide important insights into the detection of cancer-related signatures. In addition to single-layer signatures, such as gene expression and somatic mutations, integrating data from multiple heterogeneous platforms using a systematic approach has been proven to be particularly effective for the identification of classification markers. This approach not only helps to uncover essential driver genes and pathways in the cancer network that are responsible for the mechanisms of cancer development, but will also lead us closer to the ultimate goal of personalized cancer therapy.
Perceptual quality measure using a spatiotemporal model of the human visual system

This paper addresses the problem of quality estimation of digitally coded video sequences. The topic is of great interest since many products in digital video are about to be released and it is thus important to have robust methodologies for testing and performance evaluation of such devices. The inherent problem is that human vision has to be taken into account in order to assess the quality of a sequence with a good correlation with human judgment. It is well known that the commonly used metric, the signal-to-noise ratio is not correlated with human vision. A metric for the assessment of video coding quality is presented. It is based on a multi- channel model of human spatio-temporal vision that has been parameterized for video coding applications by psychophysical experiments. The visual mechanisms of vision are simulated by a spatio-temporal filter bank. The decomposition is then used to account for phenomena as contrast sensitivity and masking. Once the amount of distortions actually perceived is known, quality estimation can be assessed at various levels. The described metric is able to rate the overall quality of the decoded video sequence as well as the rendition of important features of the sequence such as contours or textures.
Factor recruitment and TIF2/GRIP1 corepressor activity at a collagenase‐3 response element that mediates regulation by phorbol esters and hormones

To investigate determinants of specific transcriptional regulation, we measured factor occupancy and function at a response element, col3A, associated with the collagenase‐3 gene in human U2OS osteosarcoma cells; col3A confers activation by phorbol esters, and repression by glucocorticoid and thyroid hormones. The subunit composition and activity of AP‐1, which binds col3A, paralleled the intracellular level of cFos, which is modulated by phorbol esters and glucocorticoids. In contrast, a similar AP‐1 site at the collagenase‐1 gene, not inducible in U2OS cells, was not bound by AP‐1. The glucocorticoid receptor (GR) associated with col3A through protein–protein interactions with AP‐1, regardless of AP‐1 subunit composition, and repressed transcription. TIF2/GRIP1, reportedly a coactivator for GR and the thyroid hormone receptor (TR), was recruited to col3A and potentiated GR‐mediated repression in the presence of a GR agonist but not antagonist. GRIP1 mutants deficient in GR binding and coactivator functions were also defective for corepression, and a GRIP1 fragment containing the GR‐interacting region functioned as a dominant‐negative for repression. In contrast, repression by TR was unaffected by GRIP1. Thus, the composition of regulatory complexes, and the biological activities of the bound factors, are dynamic and dependent on cell and response element contexts. Cofactors such as GRIP1 probably contain distinct surfaces for activation and repression that function in a context‐dependent manner.
Human and humanoid identification from base-link dynamics

The knowledge of the inertial parameters of a dynamic systems is crucial to understand, simulate and eventually control it. Identification theory in robotics is well formulated and often used however it requires the knowledge of the actuation torque. When considering humanoid system: robots or humans identification is seldom used as the actuation torque is difficult to measure. We have developed an identification method for bipedal systems that only requires the contact forces measurements and the joint angle. It applies to humanoid robots and humans. In this paper we present the overall identification method; its efficiency is then illustrated by experimental results obtained on a robot and on a human.
Evolution of software engineers' personality profile

The Myers-Briggs Type Indicator (MBTI) has been applied to several studies that explore various dimensions of human factors in software engineering. Accordingly, this work reviews the results of these studies to explore existing trends. In order to attain a greater understanding of human resources in the software industry, we have reviewed sixteen studies that had been performed between 1985 and 2011. This review concludes that the changes in the complexity of software processes and products have created new roles and demanded new skills for software engineers.
Numerical Hydrodynamics in Special Relativity

This review is concerned with a discussion of numerical methods for the solution of the equations of special relativistic hydrodynamics (SRHD). Particular emphasis is put on a comprehensive review of the application of high-resolution shock-capturing methods in SRHD. Results of a set of demanding test bench simulations obtained with different numerical SRHD methods are compared. Three applications (astrophysical jets, gamma-ray bursts and heavy ion collisions) of relativistic flows are discussed. An evaluation of various SRHD methods is presented, and future developments in SRHD are analyzed involving extension to general relativistic hydrodynamics and relativistic magneto-hydrodynamics. The review further provides FORTRAN programs to compute the exact solution of a 1D relativistic Riemann problem with zero and nonzero tangential velocities, and to simulate 1D relativistic flows in Cartesian Eulerian coordinates using the exact SRHD Riemann solver and PPM reconstruction.