Miracle-dz/UniFAR-FTUs huggingface dataset:
Gene 5.5 protein of bacteriophage T7 in complex with Escherichia coli nucleoid protein H-NS and transfer RNA masks transfer RNA priming in T7 DNA replication

DNA primases provide oligoribonucleotides for DNA polymerase to initiate lagging strand synthesis. A deficiency in the primase of bacteriophage T7 to synthesize primers can be overcome by genetic alterations that decrease the expression of T7 gene 5.5, suggesting an alternative mechanism to prime DNA synthesis. The product of gene 5.5 (gp5.5) forms a stable complex with the Escherichia coli histone-like protein H-NS and transfer RNAs (tRNAs). The 3′-terminal sequence (5′-ACCA-3′) of tRNAs is identical to that of a functional primer synthesized by T7 primase. Mutations in T7 that suppress the inability of primase reduce the amount of gp5.5 and thus increase the pool of tRNA to serve as primers. Alterations in T7 gene 3 facilitate tRNA priming by reducing its endonuclease activity that cleaves at the tRNA–DNA junction. The tRNA bound to gp5.5 recruits H-NS. H-NS alone inhibits reactions involved in DNA replication, but the binding to gp5.5–tRNA complex abolishes this inhibition.
The Origin and Impact of CPG New-Product Buzz: Emerging Trends and Implications

ABSTRACT Marketers are interested in the phenomenon of “consumer-generated media”, or “buzz,” given its potential to affect the commercial prospects for their products. Within the consumer packaged goods (CPG) sector, advertisers experiment with a variety of tactics to generate buzz in their marketing communications strategies, including stimulating it. An in-depth analysis of this rapidly evolving domain—considering blog buzz, marketing spending, pre-market purchase intentions, and in-market sales—revealed five key themes: (1) a minority of new CPG brands generate the majority of buzz, (2) new CPG product buzz usually precedes sales, (3) strong new CPG product buzz usually occurs in combination with a strong traditional media presence, (4) category ubiquity and brand distinctiveness are predictive of buzz, and (5) high buzz levels drive sales and can be anticipated to help improve forecasting models.
Factors Influencing International Students' Choice of an Education Destination–A Correspondence Analysis

ABSTRACT A correspondence analysis technique was employed to elicit information from international students pertaining to their choice of study destination. A survey of international students at a major Australian university revealed that the proximity of the city to the students' home countries, in addition to safety, the educational quality/variety, etc. were the main reason for choosing this city for their study. Other reasons for choice included cost of living and tuition fees. A correspondence analysis (CA) data analysis technique was employed resulting in a two-dimension solution on a safety/proximity and quality/familiarity continuum was considered acceptable. The two-dimension solution with a significant chi-square (χ2) value accounted for 93% of the total variance explained. Results were discussed and future research directions were indicated.
The ETL-Humanoid system—a high-performance full-body humanoid system for versatile real-world interaction

This paper presents the final stage of development of a humanoid system, ETL-Humanoid. It is a full-scale humanoid system with 46 d.o. f. , with the height and weight of an average Japanese person. It was designed as an experimental platform to explore the general principle of controls of complex embodied systems. The complete system, the mechanical configuration of the system and the low-level network-based control system will be presented. The final system possesses properties of compactness, modularity and is light in weight. The mechanical system is high in performance, back-drivable and compliant, allowing the possibility of a wide range of motions and capabilities. The strength and power of the system is demonstrated through an experiment of 'chin up'. The humanlike configuration and compliant aspects of the system are demonstrated via a session of physical interaction. A running-like motion was generated to show the speed of the system. Aside from its human-like physical characteristics, the system is also capable of performing higher-level interaction involving perceptions and actions.
Requirement for the acetyl phosphate pathway in Escherichia coli ATP‐dependent proteolysis

Protein degradation is a central component of the protein quality control system. Here we show that efficient proteolysis in Escherichia coli requires the active acetyl phosphate pathway. Deletion of this pathway, leading to depletion of acetyl phosphate, results in temperature sensitivity and reduced rate of ATP‐dependent proteolysis. The effect on proteolysis is general, as can be seen from the slowing down of the degradation of unstable proteins, including puromycin‐derived peptides. In addition, reduced intracellular concentrations of acetyl phosphate brings about an increase in the levels of protein aggregates, which contain a wide range of proteins, as expected if a broad spectrum of substrates are involved. Additional outcomes of acetyl phosphate deficiency are elevation in the transcript levels of heat shock genes and increased thermotolerance. In E. coli the acetyl phosphate pathway is the only source of acetyl phosphate, which is a key metabolic compound involved in major cellular processes. In this communication we present evidence for the general role of the acetyl phosphate pathway in protein degradation.
Information Privacy: Corporate Management and National Regulation

The 1990s have seen a resurgence of interest in information privacy. Public opinion surveys show that many citizens are becoming greatly concerned about threats to their information privacy, with levels of such concern reaching all-time highs. Perhaps as a response to the growing concerns of citizens, the media are devoting more attention to privacy issues, and governmental regulation of the corporate privacy environment is increasing in many countries. Almost all developed countries have grappled with the trade-offs between open access to information--which enables economic efficiency--and an individual's right to privacy. Consistent with these trade-offs, many recent incidents suggest that regulatory approaches to information privacy, corporate management of personal data, and consumer reactions are becoming tightly interwoven around the world. To provide some insights into these relationships, we develop a conceptual model and test it with a cross-cultural sample from 19 different countries.In general, we find that a country's regulatory approach to the corporate management of information privacy is affected by its cultural values and by individuals' information privacy concerns. In addition, as governments become more involved in the corporate management of information privacy, internal management of such issues seems to tighten. This result supports previous observations that most firms take a primarily reactive approach to managing privacy by waiting for an external threat before crafting cohesive policies that confront their information practices. Moreover, when corporations are not perceived to adequately manage information privacy issues, and/or when privacy concerns rise, individuals are more inclined to prefer government intervention and be distrustful of firm self-regulation. As such, citizens may look to lawmakers to enact stricter regulation to reduce their privacy concerns. These findings and several international trends suggest that the self-regulatory model of privacy governance may not be sustainable over the long term.Findings from this research constitute an important contribution to the emerging theoretical base of information privacy research and should be particularly enlightening to those managing information privacy issues. Several directions for future research are also discussed.
A Cyclin-Dependent Kinase-Activating Kinase (CAK) in Budding Yeast Unrelated to Vertebrate CAK

Progress through the cell cycle is governed by the cyclin-dependent kinases (CDKs), the activation of which requires phosphorylation by the CDK-activating kinase (CAK). In vertebrates, CAK is a trimeric enzyme containing CDK7, cyclin H, and MAT1. CAK from the budding yeast Saccharomyces cerevisiae was identified as an unusual 44-kilodalton protein kinase, Cak1, that is only distantly related to CDKs. Cak1 accounted for most CAK activity in yeast cell lysates, and its activity was constant throughout the cell cycle. The CAK1 gene was essential for cell viability. Thus, the major CAK in S. cerevisiae is distinct from the vertebrate enzyme, suggesting that budding yeast and vertebrates may have evolved different mechanisms of CDK activation.
Impact of News on Asset Behaviour: Return, Volatility and Liquidity in an Intra-Day Setting

We report an empirical study of a predictive analysis model for equities; the model uses high frequency (minute-bar) market data and quantified news sentiment data. The purpose of the study is to identify a predictive model which can be used in designing automated trading strategies. Given that trading strategies take into consideration three important characteristics of an asset, namely, return, volatility and liquidity, our model is designed to predict these three parameters for a collection of assets. The minute-bar market data as well as intraday news sentiment metadata have been provided by Thomson Reuters.
Design and Realization of a Novel Compact Fluxgate Current Sensor

A new closed-loop magnetic current sensor is presented in this paper. The sensor consists of two toroidal magnetic cores. One core works in fluxgate principle for the measurement of dc and low-frequency ac, and the other one is used as a current transformer for higher frequency application. Based on the simulation results, a prototype was designed, and the test results have a good agreement with the simulation results. The closed-loop configuration with a magnetic core and a feedback winding in the sensor improved the sensitivity of the sensor, eliminated the offset and drift related to temperature, and greatly reduced the error caused by magnetic hysteresis phenomenon. It can measure currents up to 20 A, with an accuracy of 0.5%, and a 50 kHz small signal bandwidth.
The Precarious State of Public Finance

Tax evasion, capital fl ight and the misuse of public money in developing countries – and what can be done about it. Contents Tables and Graphs 2 Abbreviations 2 Preface 4 Introduction 5 Where do public revenues 7 in developing countries come from – and why are they not higher? 1.1 Ineffective tax systems to the detriment of the poor 10 1.2 The growth in the shadow economy 13 1.3 Weak and corrupt tax authorities 15 1.4 Investment pressure and 'tax races to the bottom' 15 1.5 Transfer pricing and other tricks in shifting profi ts 16 to low-tax jurisdictions 1.6 Capital fl ight to tax havens 19 1.7 The pressure towards trade liberalisation 21 and tariff reduction 1.8 Summary: Tax evasion and tax avoidance cost billions 23 What are public revenues used for – 24 and why not only for development and the fi ght against poverty? 2.1 Despite the MDGs – stagnation in health 25 and education expenditures 2.2 Debt burden remains high 27 2.3 Harmful subsidies – also a problem in the Global South 28 2.4 Military expenditures at the expense of the poor 30 2.5 Summary: Reallocating budgets would generate 30 billions for the MDGs
Document Management System Mobility – Main Trend in Future Document Management

During the last few years the circulation of electronic documents has become one of the main elements of information technology (IT) development in the public sector. Governmental institutions implement electronic document management systems, reciprocally exchange digitally signed documents, develop internal and external normative acts and distribute them electronically. However, IT development is as always rapid and document management systems, acquired or created some years ago, not always provide optimal functionality nowadays. This is caused by the rapid spread of mobile technologies. Document management systems which are originally created for usage in stationary and portable computers are not always adaptable for convenient usage in tablet PCs and mobile phones. Thus it is clear that in the near future the main trend of electronic document management will be the adaptation for mobile devices. The main aim of this article is to determine what is the relationship between document management systems and mobile devices and if the main future trend of electronic document management will be adaptation for mobile devices. The results show that mobile devices, though inevitably connected to future development of DMS, can also also cause security breaches.
Joint Stabilizing Response to Expected and Unexpected Tilts

Background: The results found in the literature regarding functional ankle joint stabilization are controversial possibly because of the testing methods used. Methods: The responses of 22 subjects to unexpected and expected sudden inversions of the foot were compared for all subjects together, as well as grouped by their self-perceived stability. A three-dimensional foot model was used to describe ankle and foot motion. Electromyographic signals of six muscles of the lower limb as well as the horizontal ground reaction forces were recorded.Results: Whereas unexpected and expected trials did not show significant differences (p > 0.05) in kinematics, higher activation and horizontal force integrals were found for the unexpected trials. In addition, no differences in electromyographic or ground reaction force parameters were found between stable and unstable ankles; however, the kinematics revealed higher amplitudes and velocities for the stable group. Conclusions: The awareness of the instant of tilt enhances stabilization in that the same motion is achieved with a lower muscle activation. Evidence suggests that this is triggered at supraspinal levels. We found that timing of the EMG signal is not as relevant to stabilization as the amplitude (which has often been disregarded in the literature).
Dynamics of Insect–Microbiome Interaction Influence Host and Microbial Symbiont

Insects share an intimate relationship with their gut microflora and this symbiotic association has developed into an essential evolutionary outcome intended for their survival through extreme environmental conditions. While it has been clearly established that insects, with very few exceptions, associate with several microbes during their life cycle, information regarding several aspects of these associations is yet to be fully unraveled. Acquisition of bacteria by insects marks the onset of microbial symbiosis, which is followed by the adaptation of these bacterial species to the gut environment for prolonged sustenance and successful transmission across generations. Although several insect–microbiome associations have been reported and each with their distinctive features, diversifications and specializations, it is still unclear as to what led to these diversifications. Recent studies have indicated the involvement of various evolutionary processes operating within an insect body that govern the transition of a free-living microbe to an obligate or facultative symbiont and eventually leading to the establishment and diversification of these symbiotic relationships. Data from various studies, summarized in this review, indicate that the symbiotic partners, i.e., the bacteria and the insect undergo several genetic, biochemical and physiological changes that have profound influence on their life cycle and biology. An interesting outcome of the insect-microbe interaction is the compliance of the microbial partner to its eventual genome reduction. Endosymbionts possess a smaller genome as compared to their free-living forms, and thus raising the question what is leading to reductive evolution in the microbial partner. This review attempts to highlight the fate of microbes within an insect body and its implications for both the bacteria and its insect host. While discussion on each specific association would be too voluminous and outside the scope of this review, we present an overview of some recent studies that contribute to a better understanding of the evolutionary trajectory and dynamics of the insect-microbe association and speculate that, in the future, a better understanding of the nature of this interaction could pave the path to a sustainable and environmentally safe way for controlling economically important pests of crop plants.
Development stage and monetization model of micro-blog in China

Micro-blog websites are increasingly attracting the attention of academic and industry researchers. Its market value has been widely concerned and the exploration of its monetization model has entered a substantial stage. In this paper, we describe the history of Micro-blog and propose a comprehensive classification. We then discuss key characteristics based on existing websites mainly in China. A monetization model is concluded according to different features of microblog and the Hype Cycle theory[1]. The paper can be used for future academic research or making strategies for Microblog website practitioners.
Motor imagery movements classification using multivariate EMD and short time Fourier transform

In this paper, a novel method consisting of multivariate empirical mode decomposition (MEMD) and short time Fourier transform (STFT) is proposed to identify left and right imagery hand movements from electroencephalogram (EEG) signals. Experiments are carried out using the publicly available benchmark BCI competition 2003 Graz motor imagery data base of left and right hand movements. The EEG epochs are decomposed into multiple intrinsic mode functions (IMFs) by applying MEMD. The most significant mode is subjected to the short time Fourier transform; the peak and entropy of the magnitude spectrum are used as features representing the corresponding epoch. Extensive analysis is carried out using Kruskal-Wallis test, scatter plots, box plots and histograms to justify the employed features. Classification of the motor imagery movements is studied using the proposed features and various state of the art classifiers. The highest accuracy is achieved employing the k-nearest neighbor (kNN) classifier which is 90.00% and better than those of the several contemporary methods.
Oral rivaroxaban for symptomatic venous thromboembolism.

The members of the writing committee (Rupert Bauersachs, M.D., Scott D. Berkowitz, M.D., Benjamin Brenner, M.D., Harry R. Buller, M.D., Hervé Decousus, M.D., Alex S. Gallus, M.D., Anthonie W. Lensing, M.D., Frank Misselwitz, M.D., Martin H. Prins, M.D., Gary E. Raskob, Ph.D., Annelise Segers, M.D., Peter Ver­ hamme, M.D., Phil Wells, M.D., Gian­ carlo Agnelli, M.D., Henri Bounameaux, M.D., Alexander Cohen, M.D., Bruce L. Davidson, M.D., M.P.H., Franco Piovella, M.D., and Sebastian Schellong, M.D.) take responsibility for the content and integri­ ty of this article. The committee mem­ bers’ affiliations are listed at the end of the article. Address reprint requests to Dr. Buller at the Department of Vascular Medicine, Academic Medical Center, F4­ 275, Meibergdreef 9, 1105 AZ Amster­ dam, the Netherlands, or at h.r. buller@ amc.uva. nl.
Analysis of losses in the cable line of well submersible electric motor

More than half of the oil wells fund in the Russian Federation is operated with the help of electric submersible pumps providing up to 75% of all oil produced in the country. However, electric submersible pumps have a rather high specific energy consumption in the extraction borehole fluid. The greatest difficulty is the definition of losses in the submersible motor cable. The author has received analytical expressions for the calculation of the adjusted power losses in the cable of electric submersible pump units. Loss depends on the length and area of the cable, the average temperature and the electric current. Determination of the cable average temperature is challenging. The temperature along the wellbore can be approximately described by a linear law. However, it should also take into account many factors: the heating electric current cable, the flowing pumped liquid, which, in turn, is heated by the heat operated submersible pump unit. We construct a graph for the current flowing cable loss at different temperatures and for different cable line lengths. The research results will help to improve the accuracy of calculating the energy performance of downhole pumps and to optimize their operating modes.
Study on value assessment of listed companies based on the improved real options model

Real option value should be taken into account in the comprehensive evaluation value of listed companies because listed companies are faced with the high degree of uncertainty in decision-making. This paper uses the BP neural network to improve the B-S model and on this basis, real option value evaluation model is established. We do empirical research on new energy industry listed companies and by analyzing the result, the accuracy of the improved model was verified.
Issue of Culture Fit in Human Resource Management Practices

The paper presents a model of culture-fit to understand human resource management (HRM) practices in both the developed and the developing countries. The model postulates that (a) socio-cultural values and enterprise environment affect the internal work culture of organizations which in turn influence managerial practices, and (b) organizations in the developed and developing countries differ in their internal work culture and HRM practices because of the differences in socio-cultural values of these countries. Empirical evidence is presented to support the model. Several practical implications for managerial practice are suggested.
Heartbeats Arrhythmia Classification Using Probabilistic Multi-Class Support Vector Machines: A Comparative Study

The support vector machines were originally created to classify binary problems. Their extension for multiclass problems was the subject of several researches. Usually, a multiclass classifier is obtained by combining several binary classifiers. During the last years, the attention is focused on four main models of Multi-class Support Vector Machines (M-SVM), which consider all classes simultaneously: Weston and Watkins (WW) [1] model, Crammer and Singer (CS) [2] model, Lee, Lin and Wahba (LLW) [3] model and the quadratic loss multi-class support vector machines (MSVM 2 ) [4] model introduced by Guermeur and Monfrini. This study aims to develop a new method based on four M-SVMs models to classify seven different arrhythmia, plus normal ECG obtained from the Physiobank database [5]. The four models work separately, each one aims to output class posterior probability estimates. The results indicate that models achieved an average accuracy between (95.81%) and (98.42%), however the generalization ability of M-SVM 2 is better than the other models. This results show that the M-SVMs can be useful classifier for the automatic detection of heart diseases.
Avaliando a Volatilidade Diária dos Ativos: a hora da negociação importa?

The aim of this study is to examine whether investors who trade daily but at different times have distinct perceptions about the risk of an asset. In order to capture the uncertainty faced by these investors, we define the volatility perceived by investors as the distribution of standard deviations of daily returns calculated from intraday prices collected randomly. We find that this distribution has a high degree of dispersion. This means that different investors may not share the same opinion regarding the variability of returns of the same asset. Moreover, the close-to-close volatility is often less than the median of the volatility distribution perceived by investors while the open-to-open volatility is greater than that statistic. From a practical point of view, our results indicate that volatilities estimated using traditional samples of daily returns (i.e., close-to-close and open-to-open returns) may not do a good job when used as input in financial models since they may not properly capture the risk investors are exposed.