Miracle-dz/UniFAR-FTUs huggingface dataset:
Unsteady One-Dimensional Modeling of Ram Accelerator at Elevated Pressure in the Subdetonative Velocity Regime

Successful prediction of the thrust-Mach number relationship for the thermally choked ram accelerator propulsive mode has been accomplished in a straightforward manner by applying the quasi-steady conservation equations to a control volume attached to the projectile (Hertzberg et al. 1988, Bruckner et al. 1991). Performance calculations of thermally choked operation at low fill pressure, i.e., at less than 3 MPa, using the ideal gas equation of state (EOS) for both the unreacted propellant and products were in good agreement with experimental results. In the fill pressure range of 3-8 MPa, however, the products are at such high pressure, i.e., of the order of several tens of MPa, that the ideal gas assumption was no longer valid. A more appropriate EOS ; i.e., a virial-type EOS (Bauer et al. 1994), namely the formulation of Boltzmann EOS has been successfully applied (Bauer et al. 1998). It is based on simplified molecular interactions (Heuzé 1986). Moreover, the QUATUOR code (Heuzé et al. 1987) was used for determining the thermodynamic parameters in the initial state, as well as for the calculation of the chemical equilibrium composition. At initial pressures beyond the range of 10 to 12 MPa, a further refinement of the modeling consists of taking into account the real gas corrections for the initial state. However, it turns out to provide a poor improvement in terms of the agreement with experimental data but the analytical method allows the initial-state real gas corrections to be obtained using any equation of state (Bauer and Knowlen 2003). Previous analytical studies showed that at moderate accelerations ; i.e., on the order of 15,000 g, the unsteady terms in the conservation equations scarcely exceed a few percent of the magnitudes of the steady convective terms, which allows them to be neglected (Bruckner et al. 1991, Brouillette et al. 1995). Under conditions where the ratio of propellant to projectile density is sufficient to generate acceleration exceeding 30,000 g, an unsteady analysis is required (Bundy et al. 2000). A more accurate prediction of the thrust at high acceleration was obtained by Bundy et al. (2000) by accounting for the unsteady flow effects that are disregarded in the quasi-steady control volume model. The aim of the present study is to examine the influence of these unsteady effects in this one-dimensional modeling in
Towards High Quality Real-Time Signal Reconstruction from STFT Magnitude

—An efﬁcient algorithm for real-time signal reconstruction from the magnitude of the short-time Fourier transform (STFT) is introduced. The proposed approach combines the strengths of two previously published algorithms: the Real-Time Phase Gradient Heap Integration (RTPGHI) and the Gnann and Spiertz’s Real-Time Iterative Spectrogram Inversion with Look-Ahead (GSRTISI-LA). An extensive comparison with the state-of-the-art algorithms in a reproducible manner is presented.
Comparison of Pandemic ( H 1 N 1 ) 2009 and Seasonal In fl uenza , Western Australia , 2009

fl uenza and seasonal infl uenza diagnosed in Western Australia during the 2009 infl uenza season. From 3,178 eligible reports, 984 pandemic and 356 seasonal infl uenza patients were selected; 871 (88.5%) and 288 (80.9%) were interviewed, respectively. Patients in both groups reported a median of 6 of 11 symptoms; the difference between groups in the proportion reporting any given symptom was <10%. Fewer than half the patients in both groups had >1 underlying condition, and only diabetes was associated with pandemic (H1N1) 2009 infl uenza (odds ratio [OR] 1.9, 95% confi dence interval [CI] 1.1–3.5). A total of 129 (14.8%) persons with pandemic (H1N1) 2009 and 36 (12.5%) persons with seasonal infl uenza were hospitalized (p = 0.22). After controlling for age, we found that patient hospitalization was associated with pandemic (H1N1) 2009 infl uenza (OR 1.5; 95% CI 1.1–2.1). Contemporaneous pandemic and seasonal infl uenza infections were substantially similar in terms of patients’ symptoms, risk factors, and proportion hospitalized.
A Correlation Study of Emotional Intelligence and Job Satisfaction with Special Reference to HDFC Bank Employees

Dealing with the customers with a smile in most difficult situations is the prerequisite for the banking industry. Employees need to be more empathetic and understanding in nature. Emotional Intelligence helps them to keep a control of themselves when the situation is tense.nbsp It is essential for the success ofnbsp banking sector that the employees are efficient and productive in the competitive work environment. Emotional Intelligence will provide a firm basis for the development of the leadership, team management, conflict management, effective communication etc. Many researchers have focused on the importance of emotional intelligence in productivity but not much has been done in analyzing job satisfaction. The purpose of the research is to study the emotional intelligence and job satisfaction of HDFC retail banking employees. Research tool used in the study is a structured questionnaire covering 3 sections: demographic, emotional intelligence and job satisfaction. It has been designed to collect the data of employees, using random sampling method from the HDFC Retail banking branches. This research paper aims to understand the association between EI and JS. This study is based on descriptive and exploratory research.The bank should undertake emotional intelligence audit at all levels in the organisation to identify EI among the employees. The bank should organize the activities to increase the interaction between employees so as to improve the relationship among them.
Personalized Systems Need Adaptable Privacy Statements! How to Make Privacy-related Legal Aspects Usable and Retraceable

This paper presents a solution proposal for the design of usable privacy-enhancing practices in personalization-pertinent systems. In particular, the focus is set on two issues: (i) the design of an Adaptable Privacy Statement that complies with well-known privacy principles and legal demands, and (ii) the description of how to link such an adaptable statement with user interface functions that enhance the comprehension and control of the privacy-critical features of the system. Our proposal is part of our User-centric Privacy Framework, an integrative methodology that considers the main aspects of the three interrelated and highly relevant privacy points of view: legal compliance, technical feasibility, and user-centric design. Exemplarily, we present the applicability of our proposal by focusing on the field of Self-Directed Work-Integrated Learning systems.
Final Report PetaScale Application Development Analysis Grant Number DE-FG 02-04 ER 25629 A 003

The results obtained from this project will fundamentally change the way we look at computer performance analysis. These results are made possible by the precise definition of a consistent system of measurement with a set of primary units designed specifically for computer performance analysis. This system of units, along with their associated dimensions, allows us to apply the methods of dimensional analysis, based on the Pi Theorem, to define scaling and self-similarity relationships. These relationships reveal new insights into experimental results that otherwise seems only vaguely correlated. Applying the method to cache-miss data revealed scaling relationships that were not seen by those who originally collected the data. Applying dimensional analysis to the performance of parallel numerical algorithms revealed that computational force is a unifying concept for understanding the interaction between hardware and software. The efficiency of these algorithms depends, in a very intimate way, on the balance between hardware forces and software forces. Analysis of five different algorithms showed that performance analysis can be reduced to a study of the differential geometry of the efficiency surface. Each algorithm defines a set of curvilinear coordinates, specific to that algorithm, and different machines follow different paths along the surface depending on the difference in balance between hardware forces and software forces. Two machines with the same balance in forces follow the same path and are self-similar. The most important result from the project is the statement of the Principle of Computational Least Action. This principle follows from the identification of a dynamical system underlying computer performance analysis. Instructions in a computer are modeled as a classical system under the influence of computational forces. Each instruction generates kinetic energy during execution, and the sum of the kinetic energy for all instructions produces a kinetic energy spectrum as a function of time. These spectra look very much like the spectra used by chemists to analyze properties of molecules. Large spikes in the spectra reveal events during execution, like cache misses, that limit performance. The area under the kinetic energy spectrum is the computational action generated by the program. This computational action defines a normed metric space that measures the size of a program in terms of its action norm and the distance between programs in terms of the norm of
Carbon Ion Radiotherapy for Stage I Non-small Cell Lung Cancer Using a Regimen of Four Fractions during 1 Week

Background: A phase I/II study was first conducted for the treatment of stage I non-small cell lung cancer (NSCLC) from 1994 to 1999 to determine the optimal dose. On the basis on the results, a phase II study using a regimen of four fractions during 1 week was performed. The purpose of the present study was to determine the local control and 5-year survival rates. Methods: From December 2000 to November 2003, 79 patients with 80 primary lesions were treated. Using a fixed dose of 52.8 GyE for stage IA NSCLC and 60.0 GyE for stage IB NSCLC in four fractions during 1 week, the primary tumors were irradiated with carbon beams alone. The average age of the patients was 74.8 years. Sixty-two (78.5%) of these patients were medically inoperable. Local control and survival were determined using the Kaplan-Meier method. The data were statistically processed using the log-rank test. Results: All patients were observed for a minimum of 3 years or until death, with a median follow-up time of 38.6 months, ranging from 2.5 to 72.2 months. The local control rate for all patients was 90% (T1: 98%, T2: 80%). The patients' 5-year lung cancer-specific survival rate was 68% (IA: 87%, IB: 42%). The overall survival was 45% (IA: 62%, IB: 25%). Half of the deaths were attributable to intercurrent diseases. No toxic reactions in the lung greater than grade 3 were detected. Conclusion: Carbon ion beam radiotherapy with a regimen of four fractions during 1 week has been proven as a valid alternative to surgery for stage I NSCLC and to offer particular benefits, especially for elderly and inoperable patients.
Design for verification testability

A procedure for designing combinational circuits suitable for built-in verification testing is presented. Unlike the traditional approach, where the design of a test pattern generator follows the functional logic synthesis, in the author's method the built-in self-test synthesis tightly interacts with the functional logic design. The experimental results indicate that a significant reduction in testing time at a negligible area/performance penalty can be obtained in the circuits designed using the proposed verification testing oriented logic synthesis procedure. <<ETX>>
THIS IS NOT A GLITCH

Big Data is increasingly deployed for the capturing, mapping, and analysis of the built environment. These layers of information are used to produce highly convincing representations of the built environment. This paper explores how these processes, specifically those deployed by Google Earth, are used to translate data into simulated environments with the goal of better understanding how designers might begin to produce physical constructs that provide resistance to accurate image capture and simulation. We first provide some examples of ways in which artists and designers have been approaching similar processes of image aggregation to produce new kinds of images that flatten time and hide formal specificity, then describe the processes by which one particular image aggregation engine (Google Earth) produces simulated three-dimensional environments. Finally, we present a case study in which we developed a strategy for interfering with these processes through the production reverse engineered physical prototypes. THIS IS NOT A GLITCH ALGORITHMS AND ANOMALIES IN GOOGLE ARCHITECTURE 1 Digital/Material Anomaly Feedback Loop. (Parker 2014)
Genetic structure of the fungal grapevine pathogen Eutypa lata from four continents

R. Travadon, K. Baumgartner*, P. E. Rolshausen, W. D. Gubler, M. R. Sosnowski, P. Lecomte, F. Halleen and J.-P. Péros Department of Plant Pathology, University of California, Davis, CA 95616; USDA-ARS, University of California, One Shields Avenue, Davis, CA 95616; Department of Plant Pathology and Microbiology, University of California, Riverside, CA 92521, USA; South Australian Research and Development Institute, GPO Box 397, Adelaide SA 5001, Australia; INRA, UMR 1065 Santé et AgroEcologie du Vignoble, 33883 Villenave d’Ornon Cedex, France; ARC Infruitec-Nietvoorbij, P. Bag X5026, Stellenbosch 7599, South Africa; and INRA, UMR 1334 Amélioration Génétique et Adaptation des Plantes méditerranéennes et Tropicales, 34060 Montpellier Cedex, France
Mimicking Anti-Viruses with Machine Learning and Entropy Profiles

The quality of anti-virus software relies on simple patterns extracted from binary files. Although these patterns have proven to work on detecting the specifics of software, they are extremely sensitive to concealment strategies, such as polymorphism or metamorphism. These limitations also make anti-virus software predictable, creating a security breach. Any black hat with enough information about the anti-virus behaviour can make its own copy of the software, without any access to the original implementation or database. In this work, we show how this is indeed possible by combining entropy patterns with classification algorithms. Our results, applied to 57 different anti-virus engines, show that we can mimic their behaviour with an accuracy close to 98% in the best case and 75% in the worst, applied on Windows’ disk resident malware.
The SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019)

The importance of repeatability, replicability, and reproducibility is broadly recognized in the computational sciences, both in supporting desirable scientific methodology as well as sustaining empirical progress. This workshop tackles the replicability challenge for ad hoc document retrieval, via a common Docker interface specification to support images that capture systems performing ad hoc retrieval experiments on standard test collections.
Exploring both cognitive and linguistic characteristics in the design process

The paper examines a method combining cognitive and linguistic approaches to investigate design protocols. The method is applied in a pilot study to compare Australian and Swedish language protocols recorded in an experiment using a parametric design environment. The results demonstrate that the coding schemes can formally capture both cognitive and linguistic characteristics of the design process. This multi-focused approach directly contributes to a better understanding of the relationship between design and language.
Application of Data Mining Techniques for Crop Productivity Prediction

Agriculture has been and is the main stay of Ethiopia’s economy. It contributes to 45% of the GDP and engages more than 82% of the population. It is largely practiced by small holders and often vulnerable for environmental and weather shocks. As a result, the country’s productivity is low by international standard. The low productivity doesn’t come randomly. Rather it is associated with different factors. Currently crop productivity prediction is done using statistics. The current statistical analysis is inefficient and has no validation mechanism. In this paper, data mining is used for crop productivity prediction. This study assesses predictive data mining applications that can be applied on Ethiopian agricultural crop productivity by focusing on small holder farmers. This study uses data from the Ethiopian Economic Association (EEA). The data mining process in this paper follows the CRISP. For the implementation of the final output, decision tree is used. There are three algorithms employed: namely J48, Random Forest, and REPTree. The model is represented in terms of IF THEN RULE. The tools used are Weka 3.7. 7 and Excel 2007. The major finding of the result is that fertilizer use has the highest predictable power than the other factors, and the result of the final result can be used for policy makers, decision making process, and for further research to be done in the area.
Finite Sample Distributions of Some Common Regression Tests

This paper proposes methods for computing the non-null finite-sample distributions of common regression test statistics. Statistics covered include: two-tailed t tests, F tests or Wald tests, Lagrange multiplier tests, R-squareds, adjusted R-squareds, and Wu-Hausman-Revenkar endogeneity tests. The distribution results cover models with incorrect restrictions and functional forms. Besides providing analytical formulae for the distribution functions, efficient computational algorithms are proposed. Practical implementation issues are addressed through a series of examples illustrating the effects of omitted variables, multicollinearity, endogenous and proxy variables on rejection rates.
Brain–Computer Interfaces Handbook Technological and Theoretical Advances

Passive brain–computer interfaces (passive BCI; pBCI) have been introduced and formally defined almost a decade ago and have gained considerable attention since then. In this chapter, we clarify some points of confusion and provide a perspective on the past, present, and future of the field of passive BCI. This perspective concerns a key aspect with regard to which various pBCI-based systems differ from each other: interactivity. The more interactive a system is, the more responsive it is, the more autonomous, and the better capable of adaptation. Along these lines, we identify and describe four relevant categories of systems with varying levels of interactivity: mental state assessment, open-loop adaptation, closed-loop adaptation, and automated adaptation. We give examples of past and current research for each of these categories. The latter three are collectively introduced as neuroadaptive Laurens R. Krol (ORCID
Extending the Administration Time of the Letter Fluency Test Increases Sensitivity to Cognitive Status in Aging

The authors examined whether extending the administration time of letter fluency from 1 minute per letter trial (standard administration) to 2 minutes increased the sensitivity of this test to cognitive status in aging. Participants (mean age = 84.6) were assigned to cognitive impairment (n = 20) and control (n = 40) groups. Pearson correlations and scatter plot analyses showed that associations between the Dementia Rating Scale scores and letter fluency were higher and less variable when performance on the latter was extended to 2 minutes. Analysis of variance (ANOVA) showed that the cognitive impairment group generated fewer words in the second minute of the letter fluency task compared to the control group. Finally, discriminant function analyses revealed that extending the letter fluency trials to 2 minutes increased discrimination between the control and cognitive impairment groups.
The conceptual category of the diminutive in English and Romanian – existence , recurrence , status in contemporary language

The diminutive is a morphological linguistic category which allows the speaker to express positive feelings such as affection, endearment, or negative feelings like contempt, disdain, irony or even mockery. Apart from the expression of a variety of human feelings and their emotive charge, diminutive suffixes are also used to indicate the offspring of animals. This paper attempts to study and mention the status of the most productive and widely used diminutives in English, Romanian and Spanish, indicating their functions and semantic values in the discourse. It remains to be observed if there is any semantic or morphological connection between the intuitive preference of a certain diminutive suffix in comparison with other equivalent particles in the other studied languages, in which language registers and by what social groups they are used.
2 GHz Microstrip Low Pass Filter Design with Open-Circuited Stub

A 3 pole 2GHz Butterworth microstrip low pass filter is designed and fabricated based on the Opencircuited stub microstrip realization technique. The filter is designed using the FR4 substrate and the performance of the design is simulated using the ADS EM simulation tool. A comparison of the fabricated Open-circuited stub filter’s performance with the ADS simulation showed a marginal average deviation of less than 5%. At the cut-off frequency of 2GHz, the Open circuited stub filter produced an insertion loss of -3.009dB, while the stop-band characteristics exhibited an attenuation of -19.359dB at the stop-band frequency of 4GHz and a peak attenuation up to -35dB at 4.5GHz. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 22-03-2018 Date of acceptance: 07-04-2018 -------------------------------------------------------------------------------------------------------------------------------------
A COMPARISON OF SITE RESPONSE ANALYSIS METHOD AND ITS IMPACT ON EARTHQUAKE ENGINEERING PRACTICE

Site effects are quantified via site response analysis, which involves the propagation of earthquake motions from the base rock, through the overlying soil layers, to the ground surface. Frequency domain (FD) equivalent linear (EQL) and time domain (TD) nonlinear (NL) analyses are the most common approaches used for performing 1D seismic site response analysis. The dynamic responses computed via these methods can vary considerably because of the inherent differences in the numerical approaches (FD vs. TD) and the differences in how nonlinear soil response is modeled (EQL vs. fully NL). To evaluate these two approaches systematically, this study performs a series of site response analyses that consider different input motions, intensities of input motions, depths of soil columns, and nonlinear properties. The effect of different approaches on engineering practices is discussed based on the analysis results.