Miracle-dz/UniFAR-FTUs huggingface dataset:
Frustrate Twitter from automation: How far a user can be trusted?

In recent years, the popularity of social networking sites proves a lofty raise in their users. Twitter, a micro blogging service less than seven years old, commands more than 500 million users as of July 2012 and is still growing fast. In Twitter, users exchange their ideas through a text based posts called tweets which can have maximum 140 characters. The prevalence and open structure of Twitter paved a way for automated programs, known as bots, which becomes a tremendous threat for its users. In this paper, we differentiate the trustworthy human users and the automated programs (bots) to make the user understand with whom they are interacting with. We developed a few sample of bot programs to compare their characteristics with the characteristics of normal human user. We observed the difference among human and bot in terms of tweeting behavior, tweet content, account properties and its networking flow characteristics. Based on the experimental results, we effectively differentiate the users into human and bot.
High-Speed Electric Drive for Exhaust Gas Energy Recovery Applications

High-speed electric drives play an important role in the field of power generating units on board vehicles and aircrafts. This paper deals with the solutions for developing the direct coupled electric drive to be used in combination with a radial turbo-expander for exhaust energy recovery in automotive applications. The descriptions of prototypal realization of both the axial-flux permanent-magnet (PM) generator and the three-level boost-rectifier converter, which results as the preferred topology for the controlled rectifier, are given. The high rotational speed of the direct-driven PM generator results in high electric fundamental frequency also, which is challenging for the electric drive control issues. Results of the electric drive prototype experimental activity are finally presented.
Resource allocation for cognitive networks with D2D communication: An evolutionary approach

We consider how to efficiently employ D2D communications for secondary users (SUs) in a cognitive cellular network. In this network, primary users (PUs) transmit via base station normally, while SUs can employ multiple transmission modes. One is to transmit via base station (BS mode), and the other is to employ D2D communication (D2D mode) due to the scarce idle spectrum. The SUs who have the potential to transmit to each other using D2D mode form a group. Within this group, they can transmit to each other via BS mode or using D2D mode directly. Outside this group, only BS mode is available. To investigate how to employ D2D mode into this network, first we define the utilities of SUs employing BS mode and D2D mode respectively considering achieved data rate, power consumption, price of unit bandwidth and the impact of interference. Then we analyze the optimal power allocation for each mode. To optimize SUs' strategies of mode selection, we adopt replicator dynamics in evolution theory to model the behaviors of SUs. Furthermore, we prove the existence of SUs' evolutionary stable strategy (ESS) of the mode selection process. Based on our model, we finally propose a distributed protocol for SUs within a D2D group to converge to ESS automatically. Numerical results show that our proposed protocol is not only efficient to achieve ESS with improved network performance, but also robust in ESS.
Economic Systems of Foraging, Agricultural, and Industrial Societies: FORAGING SOCIETIES

Drawing upon the disciplines of economics, anthropology, statistics, and history, and employing a new and unified analytic approach, Frederic L. Pryor reformulates in this book the entire field of comparative economic systems. He examines large samples of foraging (hunting, gathering and fishing), agricultural, and industrial economies to explore four key questions: What are the distinct economic systems found in each group? Why do certain societies or nations have one economic system rather than another? What impact do economic systems have on the performance of the economy? How do these economic systems develop and change? The results provide a context that allows us to move beyond the chaos of case studies and ideological assertions to gain an overview of the development of economic systems over the millennia. It also raises a series of new analytic and empirical issues that have not hitherto been systematically explored.
Free Thyroxine Level in the High Normal Reference Range Prescribed for Nonpregnant Women May Reduce the Preterm Delivery Rate in Multiparous

Preterm birth is the most common reason for perinatal morbidity and mortality in the western world. It has been shown that in euthyreotic pregnant women with thyroid autoimmune antibodies, L-Thyroxine replacement reduces preterm delivery rate in singleton pregnancies. We investigated in a nonrandomized retrospective observational study whether L-Thyroxine replacement, maintaining maternal free thyroxine serum level in the high normal reference range prescribed for nonpregnant women also influences the rate of preterm delivery in women without thyroid autoimmune antibodies. As control group for preterm delivery rate, data from perinatal statistics of the State of Baden-Württemberg from 2006 were used. The preterm delivery rate in the study group was significantly reduced. The subgroup analysis shows no difference in primiparous but a decline in multiparous by approximately 61% with L-Thyroxine replacement. Maintaining free thyroxine serum level in the high normal reference range prescribed for nonpregnant women may reduce the preterm delivery rate.
Modelling the Labour Market for Teachers: Some Lessons from the UK

This paper describes the econometric modelling of the labour market for teachers in an ‘administered’ market setting in which the government paritally controls the main determinants of demand and, in addition, is very influential in setting teachers' wages. The paper reviews the econometric work which has been undertaken on the market for teachers in the UK and shows how the market forces have a crucial role to play. The economic policy implications for the government of the empirical econometric work are discussed.
The Equifinality of War Termination

The authors’ theory contributes an alternative domestic politics pathway to traditional bargaining models of war termination. In bargaining models, the rational updating process that produces an overlapping bargaining space can develop a significant lag, which extends the war beyond a logical ending point. The authors posit that a change in the domestic governing coalition is often necessary to kick-start this updating process once it has become bogged down through preference, information, and entrapment obstacles. The authors demonstrate that domestic coalition shifts are a critical path to peace, using survival analysis techniques on Bennett and Stam’s (1996) war-level data set of wars (1862-1990) and a new belligerent-level data set of wars (1945-2006). These tests show that because war policies can become institutionalized over time, there is a very strong link between coalition shifts and war termination.
Pengaruh Sosial Media Marketing Melalui Youtube Terhadap Tingkat Brand Awareness Pada Generasi Z (studi Kasus Pada Radio Play99ers 100 Fm Bandung)

Abstrak Pengguna internet dari tahun ke tahun mengalami peningkatan. Salah satunya ialah generasi Z. Generasi ini lekat dengan media sosial dan perusahaan sudah banyak menggunakan media sosial untuk meningkatkan brand awareness tak terkecuali Radio Play99ers 100FM Bandung. Salah satu media yang digunakan adalah Youtube. Tujuan dari penelitian ini adalah ingin mengetahui apakah social media marketing melalui Youtube berpengaruh terhadap tingkat brand awareness. Metode pengumpulan data pada penelitian ini menggunakan kuesioner yang disebarkan kepada 100 responden. Metode analisis data yang digunakan pada penelitian ini adalah metode analisis deskriptif dan analisis regresi linier sederhana. Pengolahan data dlakukan dengan menggunakan software IBM SPSS 24 for windows. Secara parsial dilihat dari uji t, terdapat pengaruh antara Social Media Marketing melalui Youtube terhadap Tingkat Brand Awareness pada Generasi Z (Studi Kasus Pada Radio Play99ers 100 FM Bandung). Pengaruh Social Media Marketing mempengaruhi Tingkat Brand Awareness sebesar 0,433 atau 43,3%, selebihnya dipengaruhi oleh variabel lain yang tidak termasuk ke dalam penelitian. Kata kunci : social media marketing, tingkat brand awareness, generasi Z Abstract Internet users from year to year have increased. One of them is the Z generation. This generation is closely associated with social media and companies are already using social media to increase brand awareness is no exception Radio Play99ers 100FM Bandung. One of the media used is Youtube. The purpose of this study is to find out whether social media marketing through Youtube affect the level of brand awareness. Methods of data collection in this study using questionnaires distributed to 100 respondents. Data analysis method used in this research is descriptive analysis method and simple linier regression analysis. Data processing is done by using software IBM SPSS 24 for windows. Partially seen from t test, there is influence between Social Media Marketing through Youtube to Brand Awareness Level on Generation Z (Case Study On Radio Play99ers 100 FM Bandung). The influence of Social Media Marketing influences Brand Awareness Level of 0.433 or 43.3%. The rest is influenced by other variables not included in the research. Keywords: social media marketing, level of brand awareness, Z generation
PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES The Do Re Mi’s of Everyday Life: The Structure and Personality Correlates of Music Preferences

The present research examined individual differences in music preferences. A series of 6 studies investigated lay beliefs about music, the structure underlying music preferences, and the links between music preferences and personality. The data indicated that people consider music an important aspect of their lives and listening to music an activity they engaged in frequently. Using multiple samples, methods
Gas-Phase Deposition of Ultrathin Aluminium Oxide Films on Nanoparticles at Ambient Conditions

We have deposited aluminium oxide films by atomic layer deposition on titanium oxide nanoparticles in a fluidized bed reactor at 27 ± 3 °C and atmospheric pressure. Working at room temperature allows the coating of heat-sensitive materials, while working at atmospheric pressure would simplify the scale-up of this process. We performed 4, 7 and 15 cycles by dosing a predefined amount of precursors, i.e., trimethyl aluminium and water. We obtained a growth per cycle of 0.14–0.15 nm determined by transmission electron microscopy (TEM), similar to atomic layer deposition (ALD) experiments at a few millibars and ~180 °C. We also increased the amount of precursors dosed by a factor of 2, 4 and 6 compared to the base case, maintaining the same purging time. The growth per cycle (GPC) increased, although not linearly, with the dosing time. In addition, we performed an experiment at 170 °C and 1 bar using the dosing times increased by factor 6, and obtained a growth per cycle of 0.16 nm. These results were verified with elemental analysis, which showed a good agreement with the results from TEM pictures. Thermal gravimetric analysis (TGA) showed a negligible amount of unreacted molecules inside the alumina films. Overall, the dosage of the precursors is crucial to control precisely the growth of the alumina films at atmospheric pressure and room temperature. Dosing excess precursor induces a chemical vapour deposition type of growth due to the physisorption of molecules on the particles, but this can be avoided by working at high temperatures.
Using data-level parallelism to accelerate instruction-level redundancy

Instruction-level redundancy is an effective scheme to reduce the susceptibility of microprocessors to soft errors, offering high error detection and recovery capability; however, it usually incurs significant performance degradation due to resource racing. Motivated by the fact that narrow-width operands are commonly seen in applications, we exploit data-level parallelism to accelerate instruction-level redundancy. For the instructions within sphere of replication (SoR) of data-level redundancy, normal and redundant versions of the narrow-width operand of the instruction are folded into one register to share the same functional unit during execution hence alleviating resource racing. The other instructions are all protected by instruction-level redundancy. We run SPECint2000 benchmarks on a modified version of SimpleScalar simulator, and synthesize the extra hardware to evaluate area overhead of the proposed pipeline. Experimental results show that our acceleration scheme outperforms conventional instruction-level redundancy by 13% in IPC. Besides, the extra area overhead is negligible.
A prospective, randomized study: Evaluation of the effect of rosuvastatin in patients with chronic obstructive pulmonary disease and pulmonary hypertension

Objectives: Statins by their anti-inflammatory and endothelial stabilizing effect can be beneficial in patients with chronic obstructive pulmonary disease (COPD) and pulmonary hypertension (PH). The present study was done to evaluate the effect of rosuvastatin on pulmonary functions and quality of life (QOL) in patients with concomitant COPD and PH. Materials and Methods: It was a prospective, randomized, double-blind, placebo-controlled, study conducted in patients with COPD and PH. A total of sixty patients were assigned to receive either rosuvastatin 10 mg or placebo once a day in addition to their conventional treatment for 12 weeks. Routine blood investigations, pulmonary functions, echocardiogram, exercise capacity, and QOL using a questionnaire were assessed at the baseline and after 12 weeks. Results: In patients of rosuvastatin group, there was a statistically significant increase in peak expiratory flow rate (PEFR) (P = 0.04) but no significant change in other pulmonary functions: Forced vital capacity (FVC), forced expiratory volume at 1 s (FVC, FEV1, FEV1/FVC), and echocardiogram parameters. There was a significant increase in 6-min walk test (6-min walk distance) (P = 0.03) at the end of 12 weeks. On comparing with placebo, rosuvastatin showed a significant reduction (P = 0.045) in COPD exacerbations while adverse effects did not differ. Conclusion: Statins have a favorable effect on patients with COPD and PH regarding the improvement in PEFR, COPD exacerbations, and exercise capacity. Such effects can be beneficial in these patients and more so in patients with concomitant coronary artery disease or hyperlipidemia where long-term benefits of statins have been established.
Stereoscopic Memory When Stimuli No Longer Persist: Void and Binocular Intervals in Alternating Monocular Presentations

Objective: Studying some temporal aspects of stereoscopic processing in order to clarify phenomena of stereoscopic persistence and investigate how the brain deals with stereoscopic stimuli that involve various types of clues or difficulties (simple versus complex, with or without oriented elements, with or without curvature, with explicit or camouflaged shapes, with or without disparity discontinuities). Method: Left and right images of 20 different stereo pairs were generated, one above the other, on a laptop computer display and were observed by the left and right eye of each subject separately wearing proper prism glasses. The stimuli were presented to six subjects under alternating presentation conditions (i) under pure alternation (ii) with an intercalated variable void interval V between the monocular left and right stimulus intervals (iii) with a variable temporal overlap of the two monocular stimuli, thus producing a binocular interval B between the purely monocular intervals. For each V, B, or null interval we determined the longest duration M of the monocular presentations that was compatible with stereopsis. Results: A modest increase in the duration of binocular intervals B makes it possible much larger increase in the duration of the purely monocular presentation M. The M’s are related to the binocular intervals B’s by a power law, of exponent around 1.3 - 2.5 depending on stimulus complexity. At large B’s, when M is increased, the subject experiences a transition from stable to pulsating stereopsis, then a transition from pulsating to no stereopsis. In an intermediate range of B values, the representative curve splits in 2 branches, an upper one separating stable or pulsating stereopsis from no stereopsis, and a lower branch separating stable from pulsating stereopsis. At some point, the subject reports stable stereopsis, but would be in a regime of “pulsating stereopsis” of which he/she is not aware. The results are represented according to a general phase diagram containing 4 phases. A pair of closely related stimuli can give rise, in some subjects, to strikingly different behaviours at large B’s. Conclusion: We suggest the existence of a rather stable stereoscopic memory store, allowing a stable 3d interpretation of scenes. Various types of data would decay at different rates and stereoscopic processing, sustained over several alternations, would require brief occasional updates.
Institute for Mathematical Physics Logarithmic Growth for Matrix Martingale Transform Logarithmic Growth for Matrix Martingale Transform

We are going to give the example of the operator weight W satisfying operator Hunt-Muckenhoupt-Wheeden A 2 condition but which provides the unbounded martingale transform on L 2 (W). The construction relates weighted boundedness with the boundedness of " dyadic vector Hankel operators " .
Shocking Escapes

Sargent's (1999) model of inflation is amended to include real oil prices and used to study the impact of exogenous supply shocks on the inflation time-series. We analyse whether these shocks can trigger escape-like episodes. We consider unobserved permanent shocks to the natural rate of unemployment and observed permanent shocks to the mean real oil price. Favourable shocks to unemployment decrease the time to first escape; that is, escapes tend to occur much sooner in the presence of these shocks. Shocks to the mean real oil price cause the economy to move quickly to its new equilibrium.
The topology and polarization of sub-beams associated with the ‘drifting’ sub-pulse emission of pulsar B0943 1 10 – II. Analysis of Gauribidanur 35-MHz observations

In the previous paper of this series, Deshpande & Rankin reported results regarding the sub-pulse drift phenomenon in pulsar B0943 1 10 at 430 and 111 MHz. This study has led to the identiﬁcation of a stable system of sub-beams circulating around the magnetic axis of this star. Here, we present a single-pulse analysis of our observations of this pulsar at 35 MHz. The ﬂuctuation properties seen at this low frequency, as well as our independent estimates of the number of sub-beams required and their circulation time, agree remarkably well with the reported behaviour at higher frequencies. We use the ‘cartographic’ transform mapping technique developed by Deshpande & Rankin in Paper I to study the emission pattern in the polar region of this pulsar. The signiﬁcance of our results in the context of radio emission mechanisms is also discussed.
Learning from various labeling strategies for suicide-related messages on social media: An experimental study

Suicide is an important but often misunderstood problem, one that researchers are now seeking to better understand through social media. Due in large part to the fuzzy nature of what constitutes suicidal risks, most supervised approaches for learning to automatically detect suicide-related activity in social media require a great deal of human labor to train. However, humans themselves have diverse or conflicting views on what constitutes suicidal thoughts. So how to obtain reliable gold standard labels is fundamentally challenging and, we hypothesize, depends largely on what is asked of the annotators and what slice of the data they label. We conducted multiple rounds of data labeling and collected annotations from crowdsourcing workers and domain experts. We aggregated the resulting labels in various ways to train a series of supervised models. Our preliminary evaluations show that using unanimously agreed labels from multiple annotators is helpful to achieve robust machine models.
BLENDED ATTACKS EXPLOITS, VULNERABILITIES AND BUFFER-OVERFLOW TECHNIQUES IN COMPUTER VIRUSES

Exploits, vulnerabilities, and buffer-overflow techniques have been used by malicious hackers and virus writers for a long time. However, until recently, these techniques were not common place in computer viruses. The CodeRed worm was a major shock to the antivirus industry since it was the first worm that spread not as a file, but solely in memory by utilizing a buffer overflow in Microsoft IIS. Many antivirus companies were unable to provide protection against CodeRed, while other companies with a wider focus on security were able to provide solutions to the relief of end users.
The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification

This paper describes our submission to the CoNLL-2015 shared task on discourse parsing. We factor the pipeline into subcomponents which are then used to form the final sequential architecture. Focusing on achieving good performance when inferring explicit discourse relations, we apply maximum entropy and recurrent neural networks to different sub-tasks such as connective identification, argument extraction, and sense classification. The our final system achieves 16.51%, 12.73% and 11.15% overall F1 scores on the dev, WSJ and blind test sets, respectively.
The State Corporate Income Tax: Recent Trends for a Troubled Tax

The state corporate income tax (CIT) has been declining for years. This paper examines the trends in state CIT revenue between 1980 and 2000. The authors construct a state corporate tax performance index and find that between 1980 and 1995 the problems with the state CIT mirrored those faced by federal corporate taxes. But in the period 1995-2000, serious independent problems developed with the state tax. The paper finds that the failure to require combined reporting and the use of single factor apportionment can have negative effects on state corporate income tax revenue.
The Newman–Penrose formalism in higher dimensions: vacuum spacetimes with a non-twisting geodetic multiple Weyl aligned null direction

Vacuum spacetimes admitting a non-twisting geodetic multiple Weyl aligned null direction (WAND) are analysed in arbitrary dimension using a recently developed higher-dimensional Newman–Penrose (NP) formalism. We determine the dependence of the metric and of the Weyl tensor on the affine parameter r along null geodesics generated by the WAND for type III and N spacetimes and for a special class of type II and D spacetimes, containing e.g. Schwarzschild–Tangherlini black holes and black strings and branes. For types III and N, all metric components are at most quadratic polynomials in r while for types II and D the r-dependence of the metric as well as of the Weyl tensor is determined by an integer m corresponding to the rank of the expansion matrix Sij. It is shown that for non-vanishing expansion, all these spacetimes contain a curvature singularity. As an illustrative example, a shearing expanding type N five-dimensional vacuum solution is also re-derived using higher-dimensional NP formalism. This solution can be, however, identified with a direct product of a known four-dimensional type N metric with an extra dimension.