Miracle-dz/UniFAR-FTUs huggingface dataset:
Foundations Of Non Cooperative Game Theory

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Developing and Validating a Short Networking Behavior Scale (SNBS) From Wolff and Moser’s (2006) Measure

Networking refers to building, maintaining, and using informal contacts to attain work or career resources. Although several measures exist, we are not aware of any short measure that reaches conventional standards and captures the breadth and multiple dimensions of the construct. To enable a brief and at the same time broad assessment of networking behaviors, this study reports the development and validation of a short version (the Short Networking Behavior Scale) of Wolff and Moser’s (2006) 44-item networking behavior scale. We examine the measurement properties of the derived 18-item version in two studies using three samples. Confirmatory factor analyses show that a correlated six-factor model with two higher order factors of internal and external networking fits the data well. We provide evidence for construct and criterion-oriented validity, showing that the internal and external networking scales exhibit meaningful correlational patterns with personality, career, and social network variables but only small and mostly nonsignificant correlations with measures of job or task characteristics.
High Level Processing Facility for GOCE: products and processing strategy

The purpose of the High Level Processing Facility for GOCE (HPF) is to produce systematically GOCE level 2 products, which are orbits and gravity field solutions of different kind. While so-called quick-look or rapid products mainly are of interest for the monitoring of the GOCE performance, the final and precise products will represent the official GOCE level 2 products. They will be further used for level 3 processing by the GOCE users (oceanographers, solid Earth scientists, geodesists and others). The paper summarizes the architecture of the HPF and provides an overview of the planned products and their characteristics.
If and When a Driver or Passenger is Returning to Vehicle: Framework to Infer Intent and Arrival Time

This paper proposes a probabilistic framework for the sequential estimation of the likelihood of a driver or passenger(s) returning to the vehicle and time of arrival, from the available partial track of the user location. The latter can be provided by a smartphone navigational service and/or other dedicated (e.g. RF based) user-to-vehicle positioning solution. The introduced novel approach treats the tackled problem as an intent prediction task within a Bayesian formulation, leading to an efficient implementation of the inference routine with notably low training requirements. It effectively captures the long term dependencies in the trajectory followed by the driver/passenger to the vehicle, as dictated by intent, via a bridging distribution. Two examples are shown to demonstrate the efficacy of this flexible low-complexity technique.
A generalized limited-memory BNS method based on the block BFGS update

: A block version of the BFGS variable metric update formula is investigated. It satisﬁes the quasi-Newton conditions with all used diﬀer-ence vectors and gives the best improvement of convergence in some sense for quadratic objective functions, but it does not guarantee that the direction vectors are descent for general functions. To overcome this diﬃculty and utilize the advantageous properties of the block BFGS update, a block version of the limited-memory BNS method for large scale unconstrained optimization is proposed. The algorithm is globally convergent for convex suﬃciently smooth functions and our numerical experiments indicate its eﬃciency.
Design of Laboratory Apparatus for Temperature Prediction in Turning Process

To illustrate heat generation in turning processes for “Manufacturing Processes” course, an experimental apparatus including hardware, software and experiment protocol was designed and integrated. Cutting parameters’ effects on temperature rising in turning process were examined. Design of experiment and embedded thermocouple measurement were applied to cover the cutting parameters and collect the experimental data. After collecting temperature data with full factorial experiment, statistical analysis including analysis of variance (ANOVA), main effect, interactive effect and regression analysis was conducted. This experiment trains students on machining, sensors, data acquisition, and statistical analysis. It identified that all the three cutting parameters positively affected the temperature rising. Linear mathematic models mapping the temperature rising and cutting parameters were deducted with an R 2 value of 0.78. The results were analyzed statistically and graphically. The model of predicting chip-tool temperature can satisfactorily map temperature rising and cutting parameter settings within the considered range in turning process. This temperature prediction approach can be extended to other machining processes such as milling, drilling etc.
Editorial: recent trends in advertising and required research in emerging markets—an Asian perspective

The papers in this issue were selected from among the best papers presented at the 2018 International Conference of Asian Marketing Association (ICAMA) organized by the Korean Marketing Association (KMA) and held in Bangkok, Thailand. The conference received a high level of submissions. After the conference, the authors of the best reviewed papers were invited to submit their papers via the International Journal of Advertising’s standard double-blind review process. Papers selected via this process appear in this special issue. The conference centered on the research that is required in emerging Asian markets, a theme that is reflected in the selected papers. As guest editors, below we identify some trends facing the advertising industry from an Asian perspective, along with research gaps that need to be filled. We also link these trends and gaps to the articles published in this volume. As in other parts of the world, advertising clutter is greater than ever in Asia, making it harder for companies to deliver their messages effectively. Therefore, marketers strive to enhance the persuasiveness of their messages by adopting alternative strategies such as product placement, sponsorship, and advergames (Grohs 2016; Naderer et al. 2018; Vanwesenbeeck, Walrave, and Ponnet 2017). One emerging approach addressed by an article in this issue is to manage consumers’ construal or mindset for consistency with advertising messages. In examining the relationship between price fluency and duration frame (i.e., small unit and expansive frame versus large unit and restrictive frame), Ryu and Park (‘The effect of price fluency and duration framing in price advertisements’) argue that if discount duration is presented as either a small unit or an expansive frame (low construal), consumers show higher purchase intention when the price is fluent compared to when price is disfluent to process. However, they find that consumers prefer processing disfluent pricing when the discount duration is presented as a large unit or a restrictive frame (high construal). In the article titled, ‘Text versus pictures in advertising: Effects of psychological distance and product type’, Choi et al. also highlight the importance of congruence between psychological distance and consumers’ mindset in order for an ad to stand out. When
Binding Obligations on User-Managed Access (UMA) Participants

User-Managed Access (UMA) is a profile of OAuth 2.0. UMA defines how resource owners can control protected-resource access by clients operated by arbitrary requesting parties, where the resources reside on any number of resource servers, and where a centralized authorization server governs access based on resource owner policy. This document provides a contractual framework that defines the minimum obligations of parties that operate and use UMA-conforming software programs and services. The goal of this framework is to support end-to-end legal enforceability of the terms and conditions of access sharing relationships between authorizing and requesting sides that use UMA. The audience for this document includes technologists, legal professionals, and operators of UMA-conforming services.
Interest Rate, Inflation, and Public Debt: What Is Causing Exchange Rate Volatility in Indonesia?

The exchange rate is one of the most essential factors of a country's economic stability measurement. In the world open market economy, the exchange rate shows how strong a country's bargaining of trade, which is precarious to determine cost and volume of goods n services to create a profit. This paper seeks to present macroeconomic variables that affect the exchange rate movement, given that Indonesia's exchange rate is very volatile and has a significant impact on economic conditions. In order to identify the influential variables, the VECM method is exercised, using time series data that consist of Indonesia’s exchange rates, interest rates, inflation and public debt for the 1990Q1 to 2018Q4 period. This research findings are: first , the exchange rate appreciation is influenced by increasing in interest rate, and exchange rate depreciation is influenced by rising of inflation and public debt; second , prediction of the exchange rate, can be do with interest rate and public debt, while exchange rate can be used to predict interest rate, inflation and public debt; third , needs about 9 (nine) periods or 2 1/4 (two and a quarter) year for stabilizing exchange rate that influenced by other variables. Hence, It is critical to keep inflation rate, interest rate, and the level of public debt steady to utilize the exchange rate volatility.
Topic Modeling and Clustering for Analysis of Road Traffic Accidents

In this thesis, we examined different approaches on how to cluster, summarise and search accident descriptions in Swedish Traffic Accident Data Acquisition (STRADA) dataset. One of the central questions in this project was that how to retrieve similar documents if a query does not have any common words with relevant documents. Another question is how to increase similarity between documents which describe the same or similar scenarios in different words. We designed a new pre-processing technique using keyword extraction and word embeddings to address these issues. Theoretical and empirical results show the pre-processing technique employed improved the results of the examined topic modeling, clustering and document ranking methods.
Power Angle Control Scheme for Integration of UPQC in Grid Connected PV System

The quality of electric power is greatly affected by the proliferation of non-linear loads in electrical energy processing applications like switched mode power supplies, electric motor drives, battery chargers, etc., The custom power devices like UPQC has gained more importance in power quality arena as it gives the best solution for all power quality issues. UPQC is the combination of both shunt and series active power filters connected through a common DC link capacitor. The shunt active power filter is the most corrective measure to remove the current related problems, power factor improvement by supplying reactive power and regulates DC link voltage. The series APF acts as controlled voltage source and corrects voltage related problems, like sag or swell, flickering, harmonics, etc.,. As a combination of both of these, UPQC improves service reliability. In the present work, shunt inverter control is based on modified active- reactive (p-q) power theory, uses High selectivity filter (HSF) for reference current generation. The series APF uses Power Angle Control (PAC) scheme for compensating sag/swell, interruption and voltage related problems along with sharing a part of load reactive power demand with shunt APF and thus ease its loading and makes the utilization of UPQC to be optimal. The topology uses three phase three leg inverters for both shunt APF and series APF. The gating signals were generated using Hysteresis controller. The output of High step-Up DC-DC Converter is used to work as DC voltage source for both APFs. The input voltage for the converter is provided by Photo Voltaic array incorporated with P&O MPPT technique. The use of high step-up DC-DC converter is for high voltage gain with better efficiency. The present topology avoids the PLL in shunt active power filter. The simulation results are presented to show the effectiveness of the three phase, three-wire PV-UPQC and here obtained an acceptable THD for source current and kept load voltage
Diffuse ionized gas in galaxies across the Hubble sequence at the CALIFA resolution

EADL, RCF, GS, and NVA acknowledge the support from the CAPES CsF-PVE project 88881.068116/2014-01. RGD acknowledges the support of CNPq (Brazil) through Programa Ciencia sem Fronteiras (401452/2012-3). CALIFA is the first legacy survey carried out at Calar Alto. The CALIFA collaboration would like to thank the IAA-CSIC and MPIA-MPG as major partners of the observatory, and CAHA itself, for the unique access to telescope time and support in manpower and infrastructures. We also thank the CAHA staff for the dedication to this project. Support from the Spanish Ministerio de Economia y Competitividad, through projects AYA2016-77846-P, AYA2014-57490-P, AYA2010-15081, and Junta de Andalucia FQ1580.
Sensitivity Analysis in Image Synthesis

Intermediate virtual images are used in the evaluation of disparity estimations. The analysis is based on the effect of disparity inaccuracies in the relative quality of virtual images. The peak-signal-to-noise ratio and the percentage of visual errors are used to assess the quality of virtual images generated with distorted disparity fields. Computer simulation results show that the peak-signal-to-noise ratio is more affected by a small magnitude of perturbations – two or three pixels – than by a high frequency of perturbations –15% or 20%. However, the percentage of visual errors is more affected by the frequency of perturbations. By using distorted disparity fields, the deterioration in the quality of virtual images is imperceptible to the human eye .
SEQUOIA 2000-a reflection on the first three years

The purpose of the SEQUOIA 2000 project is to build a better computing environment for global change researchers. Such researchers investigate issues such as global warming, ozone depletion, environment toxification, and species extinction, and are members of Earth Sciences Departments at Universities and National Laboratories. SEQUOIA 2000 is the Digital Equipment Corporation flagship research project for the 1990's. We describe the SEQUOIA 2000 project and its implementation efforts during the first three years. Included are the objectives we had, how we chose to address them and some of the lessons we learned from this endeavour. <<ETX>>
Side-channel security analysis and protection of SHA-3

of the Dissertation Side-Channel Security Analysis and Protection of SHA-3 by Pei Luo Doctor of Philosophy in Computer Engineering Northeastern University, August 2017 Dr. Yunsi Fei, Advisor Keccak is the hash function selected by NIST as the SHA-3 (Secure Hash Algorithm) standard. Keccak is built on a new structure sponge construction. The new algorithm and construction have raised questions regarding the side-channel security of SHA-3 and its MAC mode, MAC-Keccak. Over the past decade, side-channel attack has shown to be a real and effective threat to many crypto systems, where inadvertent side-channel leakages can be exploited to retrieve secret information of the target system. Side-channel power (EM) analysis and fault injection attacks have been widely used to break various crypto algorithms, while the side-channel vulnerability and resilience of SHA-3 systems have not been addressed much. This dissertation investigates both side-channel security analysis and protection of SHA-3 systems. I propose novel power analysis and fault analysis methods, and also effective countermeasures against these attacks. For side-channel power analysis, I examine hardware implementations and propose effective attack methods using power leakages from the first round output and the first round θ operation. To protect SHA-3 systems against side-channel power analysis, I adopt the operation shuffling method as the countermeasure. I propose algorithms to identify and explore the shuffling space automatically and then add shuffling into SHA-3 implementations. Recently Threshold Implementation (TI) has been a prevalent countermeasure against power analysis attacks with provable security. I adopt the method and implement it within the compilation process to automatically generate secure SHA-3 code. For fault injection attacks on SHA-3, we implement differential fault analysis attacks targeting all four SHA-3 modes under much more relaxed fault models. I then introduce algebraic techniques into the attacks, to significantly improve the power of fault analysis attacks on SHA-3 systems. Finally, I make use of the clear algebraic properties of SHA-3 to protect it using error detection codes efficiently with minimal area and time overhead.
Hiring the Formerly Incarcerated: The Mediating Role of Morality

Obtaining employment has been shown to reduce recidivism among formerly incarcerated individuals, but many face discrimination when applying for jobs. The current research examined how the length of incarceration and the time since an applicant was released from prison affected the likelihood of the applicant being hired. Community members (N = 688) nationwide were randomly assigned to read one of 10 different resume and job application pairings in which the length of incarceration (15 months, 5 years, or 10 years) and time since release from prison (2 weeks, 3 months, or 1 year) were varied. Participants then decided whether to hire the applicant and answered questions regarding his morality. Results indicated that perceived morality of the applicant mediated the relationship between hiring decisions and felon status. Applicants with a felony were perceived to be less moral, which then made them less likely to be hired. Implications are discussed.
Kohonen network as a classifier of Polish emotional speech

The power of speech is a main tool in human communication. There are a lot of factors as age, emotions, gender, pitch of the voice which can influence features of speech. Obviously, information conveyed by voice intonation has more than only textual meaning. The same sentence pronounced in two different ways can have two completely different meanings. This paper describes Kohonen networks as a classifier of Polish emotional speech. The usage of Discrete Wavelet Transform (DWT) as well as an innovative approach to scaleogram processing is also presented in this article. Mexican Hat Wavelet and the Haar Wavelet were used in researches. All simulations were carried out in MatLab 2016 with Neural Network Toolbar. During whole research more than 9000 simulation have been done. Three different speech databases were used in conducted researches. One of them was prepared by professional actors – four women and four men, and contains 240 wav files. Two others are results of researchers works. The structures of used Kohonen networks depend on speech signal decomposition’s level and scaleogram division. During conducted researches the following emotional states were considered: anger, joy, sadness, boredom, fear and neutral state. Achieved results were between 68% and 80% depends of used wavelet, speech signal and signal decomposition’s level.
It Matters What You Say: Exploring Forgiveness-Seeking Scripts in Interpersonal Transgressions

Forgiveness has been widely investigated-most of the time, using victims’ perspective. However, limited attention has been given to the nature and process of forgiveness from a transgressors’ standpoint. The primary objective of this study was to analyze the forgiveness-seeking scripts of the transgressors in interpersonal transgressions using both descriptive qualitative (Study 1; N=87) and experimental (Study 2; N=299) approaches. Study 1 provided qualitative information regarding successful forgivenessseeking script patterns. The scripts were developed and validated through Guttman scale and Q-sort method to arrive at five (5) scripts. The successful forgiveness-seeking scripts were integrated in vignette stories which were used as priming for the experiment (Study 2), which accounted for relationships that were considered in-group or outgroup. Study 2 revealed that the successful forgiveness-seeking scripts included admitting to one’s mistake and providing resolution to the situation which was more evident when one has a close relationship with the transgressor. The amount of information discussed in the script is considered valuable in maintaining good interpersonal relationships, this study supports the research stating that relationships are moderated by forgiveness (Heintzelman, Murdock, Krycak, & Seay, 2014) and that the degree of relationship affects forgiveness (Maio, Thomas, Fincham, & Carnelley, 2008). Correspondence concerning this paper should be addressed to: Center for Guidance and Counseling/School of Social Sciences and Education, Mapua University-Makati. Address: 333 Sen. Gil Puyat Ave., Makati, Philippines. Tel. : (02) 247-5000 loc 5805. E-mail: jrbacopio@mapua.edu. ph / johnray_acopio@yahoo.com T. T. Rungduin, J. R. B. Acopio, and D. C. Rungduin / JPER, 2018, 26(2), November, 48-66 __________________________________________________________________ 49
Mass Production of Graphene and Magnetic Nanoparticle in Arc Discharge Plasma and their Potential Biological Applications

Nowadays, a more efficient and environmental friendly method to synthesize Graphene Platelet Networks (GPNs) and Carbon Encapsulated Magnetic Nanoparticles (CEMNs) is highly requested in the world. Potential biomedical usage of these materials such as promoting the nerve cell to grow and targeting drug delivery has caught a lot of researchers’ attention. Proposed here method offers a single-step direct approach to synthesize GPNs on any substrate made by different material that could be able to resist 800C and pure CEMNs with identical shape and less impurities.