Miracle-dz/UniFAR-FTUs huggingface dataset:
Ensemble Classifier for Stock Trading Recommendation

ABSTRACT This paper presents a heterogeneous ensemble classifier for price trend prediction of a stock, in which the prediction results are subsequently used in trading recommendation. The proposed ensemble model is based on Support vector machine, Artificial neural networks, Random forest, Extreme gradient boosting, and Light gradient boosting machine. A feature selection is performed to choose an optimal set of 45 technical indicators as input attributes of the model. Each base classifier is executed with an extensive hyperparameter tuning to improve performance. The prediction results from five base classifiers are aggregated through a modified majority voting among three classifiers with the highest accuracies, to obtain final prediction result. The performance of proposed ensemble classifier is evaluated using daily historical prices of 20 stocks from Stock Exchange of Thailand, with 3 overlapping datasets of 5-year intervals during 2014–2020 for different market conditions. The experimental results show that the proposed ensemble classifier clearly outperforms buy-and-hold strategy, individual base classifiers, and the ensemble with straightforward majority voting in terms of both trading return and Sharpe ratio.
Evaluation of WEPP Runoff And Soil Loss Predictions Using Natural Runoff Plot Data

Model testing and evaluation are critical to the acceptance of any new prediction tool. This study was conducted to evaluate the overall performance of the Water Erosion Prediction Project (WEPP) hillslope model in predicting runoff and soil loss under cropped conditions. Natural runoff plot data, including 4,124 selected events, 556 plot years, and 34 cropping scenarios, from eight locations were selected. The average length of record for the cropping scenarios was about nine years. Several common crops and tillage systems were included. The WEPP input files for soil, slope, climate, and crop management were compiled based on measured data. The coefficient of determination (r2) between model-predicted and measured-runoff volumes for optimized Green and Ampt hydraulic conductivity (Kb) was 0.77 for selected events, 0.76 for annual values, and 0.87 for average annual values; the r2 between predicted and measured soil losses (excluding fallow and corn plots at Bethany, Mo.) was 0.36, 0.60, and 0.85, respectively. Similar predictions of runoff and soil loss were also obtained with WEPP internally estimated Kb values. Runoff and soil loss were slightly overpredicted for small storms and for years with low runoff and soil loss rates, and were underpredicted for large storms and for years with high runoff and soil loss rates. However, average runoff and soil loss rates for different cropping and management systems were adequately predicted. The accuracy and reliability of the predictions were shown to improve from an event to annual to average annual basis. Results of this study show that the WEPP model is a useful tool for predicting runoff and soil loss rates under cropped conditions.
Macroeconomic Implications of Inequality and Income Risk

We explore the long-run relationship between income risk, inequality, and the macroeconomy in an overlapping-generations model in which households face uncertain streams of labor income and returns on their savings. To manage those risks, households can apportion their savings to a bond, whose return is safe and identical across households, and a productive asset, whose return is uncertain and can differ persistently across households. We find that greater polarization in households’ labor income and returns on their savings generally accentuates households’ demand for risk-free assets and the compensation they require for bearing risk, leading to higher measured income and wealth inequality, a lower risk-free real interest rate, and higher risk premiums. These findings suggest that the factors behind the observed rise in inequality over the past few decades might have contributed to the observed fall in the risk-free real interest rate and widening gap between the risk-free real interest rate and the rate of return on capital. We also find that the magnitude of the decline in the risk-free real interest rate and offsetting rise in risk premiums depend importantly on the source of income polarization, with the effects being especially large when greater inequality is caused by increased dispersion in returns on risky assets. Thus, the macroeconomic implications not only depend on the amount of inequality, but also the source of this inequality.
The Drama of Media Coverage of Terrorism: Emotional and Attitudinal Impact on the Audience

The symbiotic relationship between terrorism and its media coverage is explored from the perspective of audience reactions. In an empirical study, effects of television broadcasts of terrorism on viewers’ emotional and attitudinal reactions are examined. Participants were 300 Israeli adults randomly allocated to terrorism or violent nonterrorism broadcasts. Anxiety, anger, stereotypes, and enemy perception were measured prior and subsequent to media exposure. Findings revealed higher levels of both emotional and attitudinal measures consequent to the terrorism versus nonterrorism media exposure. These findings reflect the significant emotional and attitudinal impact on the audience of terrorism's mechanism of self-empowerment via the media.
The Global Anticorruption Education and Training Project

The Global Anticorruption Education and Training Project (ACET) was conceived, developed, and implemented to assist the poor and underprivileged in all countries of the world. The centerpiece of the ACET effort is the movie Ethicana. The final education and training products, installed on a commercially produced DVD, will contain the movie subtitled in 28 languages, a training guide, a train-the-trainer kit, and numerous other training materials designed to reduce corruption. The intent of ACET is to provide these products free of charge throughout the world in a concerted effort to reduce corruption in the engineering/construction industry.
Improving Air Travel Comfort & Experience: Designing for Infection Prevention and Control in Response to COVID-19

In lieu of the recent impacts of the Coronavirus Disease 2019 (COVID-19) on the health and safety of individuals around the world, domestic and international travel organizations, and more specifically, the aviation industry, rapidly implemented preventative measures to support infection prevention and control (IPAC). Such measures have drastically and understandably changed how passenger interactions and experiences take place through various points in their air travel journey. Research that examines the user experience of passengers in response to changes that emerged from the COVID-19 pandemic is needed. This study focused on developing a better understanding of passenger experience during the COVID-19 pandemic and how the design of the environment may be influencing this experience. Design recommendations to respond quickly to future pandemic conditions or other infectious outbreak scenarios is an expected outcome of this study.
The Relationship between Knowledge, Job satisfaction and Job Performance among University Counselors in China

This paper was designed to analyze the direct effect of professional knowledge on job satisfaction and job performance among counselors in China. In addition, the mediating effect of job satisfaction within this relation was also tested. This article utilized a quantitative method by distributing questionnaires to counselors in 10 universities in Hunan province. Three hundred and ten responses were collected through stratified and simple random sampling method. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze the data. The results revealed that counselors’ knowledge was significantly related with their performance, and showed significantly related to job satisfaction. In addition, the result revealed that job satisfaction can mediate the relationship between knowledge and job performance.
Experimental evaluation of smart antenna system performance for wireless communications

In wireless communications, smart antenna systems (or antenna arrays) can be used to suppress multipath fading with antenna diversity and to increase the system capacity by supporting multiple co-channel users in reception and transmission. This paper presents experimental results of diversity gain, interference cancellation, and mitigation of multipath fading obtained by using a smart antenna system in typical wireless scenarios. Also given are experimental results for the signal-to-interference ratio (SIR) of two moving users, comparing different beamforming algorithms in typical wireless scenarios. All of the experiments were performed using the 900-MHz smart antenna testbed at The University of Texas at Austin.
Effects of Pipe's Roughness and Reservoir Head Levels on Pressure Waves in Water Hammer

Water hammer is a transient flow in pipes that was created by suddenly change in velocity in pipes. This phenomenon can cause serious positive and negative pressures in pipes and often with several hazards in pipelines. Overall water hammer creates by closing valves rapidly, suddenly shut off or restarting pumps, and has one of most destructive hydrodynamic phenomena in pressurized pipelines. In this study, governing equations about water hammer is numerically solved by using MATLAB programing language, and then sensitivity analysis in pressure fluctuations has been investigated by changing some effective variables such as pipe roughness type and reservoir head. Numerical solution is based on characteristic lines method. Results show that with increasing in pipe roughness, negative and positive pressures ranges, decreased. Also increasing reservoir water level causes intensive negative and positive pressures in pipe.
Interlaced to progressive scan conversion for HD-MAC application

A multilevel nonlinear filter for simultaneous edge detection and noise suppression called a nested median filter/median averaging filter (NMF/MAF) pair is introduced. On the basis of the NMF/MAF pair, an interlaced-to-progressive (I/P) conversion is proposed to estimate motion vectors in the 40-ms mode of the HD-MAC system. Test results for HD-MAC applications confirmed that the proposed I/P conversion scheme was robust in preserving sharp edges, inhibiting edge shifting, and suppressing impulsive noise. The motion compensation interpolated HD-MAC image sequence with the proposed I/P conversion scheme showed 4 approximately 6 dB to the improvement in peak SNR (peak signal-to-noise ratio) compared to the interlaced scheme. A structural overview for implementation of the NMF/MAF integrated circuit is described. The features of this circuit are an integrated dynamic RAM based on horizontal line memories, a high-speed bubble sorter, and a window option circuit. >
On the Maximum number of period annuli for second order conservative equations

We consider a second order scalar conservative differential equation whose potential function is a Morse function with a finite number of critical points and is unbounded at infinity. We give an upper bound for the number of nonglobal nontrivial period annuli of the equation and prove that the upper bound obtained is sharp. We use tree theory in our considerations.
Epoxy tooling: Technologies, developments, sustainability and future interest to industry 4.0

The technology of epoxy tooling, at present under continuous development, is used for the rapid manufacture of cost-effective tools for small batch production. It is a valid alternative with no need for expensive investment in metallic moulds for the development of new products. Current investigations are focused on improvements to the production system, improved tool performance, the cost reduction of moulds and tool manufacturing sustainability. In this paper, both the advantages and the disadvantages of epoxy tooling in injection moulding, wax injection, metal stamping and hot embossing are compared with conventional techniques. Following a brief introduction of rapid tooling technologies, the latest advances of epoxy tooling and their implementation in different manufacturing processes are all analysed. These developments refer to the production of new ad-hoc epoxy composites, increased productivity using conformal cooling channels, the reduction of the tooling manufacturing costs through waste reuse and the emerging industry 4.0 technologies for smart manufacturing and tooling. The main objective is to identify both the challenges facing epoxy tooling techniques and future research directions.
Conceptual design of a computer-driven display for monitoring reactor coolant mass

The conceptual design of a display for monitoring reactor coolant mass in the primary coolant loop of a pressurized water reactor is discussed. A means-end relational network serves as the framework for decomposing the abstract-the conservation law of mass-into system and process variables. A computer-driven display synthesizes, in real time, mass sources, mass inventory, and mass sinks based on measured plant variables. The purpose of the display is to aid human users in the cognitive tasks of monitoring operations, diagnosing system faults, and responding to component and system failures that affect mass. >
PEER-TO-PEER APPROACH OF LOCATING SERVANTS

This paper explores the possible overlay architectu res that can be adopted to provide such services, showing how an unstructured solution base d on a scale-free overlay topology is an effective option to deploy in this context. Consequ ently, we propose EQUATOR (Equivalent servant locator), an unstructured overlay implement ing the above mentioned operating principles, based on an overlay construction algorithm that wel l approximates an ideal scale-free construction model.
Robotic production assistants for working alongside the human operator

DaimlerChrysler's research laboratory in Berlin has developed an autonomous forklift truck for automating materials handling operations. The first prototype is now in operation in one of the automaker's bodyshops. The next phase of the development program is to mount an intelligent robot arm on the AGV so that it can become a robotic production assistant capable of working both autonomously on the assembly line and in a cooperative mode with a human operator.
Moisture diffusion and heat transfer in plastic IC packages

This paper deals with two-dimensional finite element simulations of moisture diffusion during preconditioning of plastic IC packages, as well as the simultaneous diffusion of heat and moisture during vapor phase reflow soldering. The results show good agreement with experimental data. The limitations of hitherto one-dimensional analyses are also examined. The transient build-up of water vapor pressure in the delaminated pad-resin interface during vapor phase reflow soldering is obtained. It is found that, irrespective of the manner of moisture preconditioning (moisture absorption or desorption), the same critical water vapor pressure level of about 0.9 MPa is obtained for the plastic IC package under study. It is also shown that the water vapor in the delaminated interface never reached saturation during the short period when solder is reflowed and re-solidified. These findings have important implications for the analysis of "popcorn" cracking during solder reflow. They show that any package stress analysis which assumes that the vapor pressure at the delaminated pad-resin interface is equal to the saturation vapor pressure is likely to be erroneous.
Location of plural defects in conductive plates via neural networks

This paper treats an inverse electrostatic sample problem which is very similar to a real nondestructive testing (NDT) problem. The focus of the paper is on the use of an artificial neural network (ANN) approach. The method here presented aims at detecting and characterising plural defects. The experimental results show the validity of the proposed processing. >
Modeling of the electrical parameters of a wire-cylinder electrostatic precipitator under pulse energization

Modeling of the electrical parameters of an electrostatic precipitator (ESP) with dust loading under pulse energization is difficult, and little progress has been made in the past. A method for modeling a wire-cylinder ESP under pulse energization based on the characteristics of Trichel pulses, and a means of dealing with the particle charging under such conditions are presented. The quantitative studies of the interactions between ion space charge and particle charging and their influence on the electric potential and field distributions have been numerically obtained under nanosecond pulse energization. The results show that the time-averaged current increased with applied peak voltage, pulsewidth, and pulse frequency and decreased with increased dust loading as expected. The space-charge density distribution was significantly influenced by the dust loading under pulse energization conditions. The proposed model is valid as long as the width of the applied voltage is less than 1 /spl mu/s.
Modeling and parameter identification of seated human body with the reference vector guided evolutionary algorithm

The low frequency vibration of the vehicle in motion has a great influence on the ride comfort of occupants. The research on the vibration response characteristics of human body plays a great role in analyzing and improving ride comfort. The purpose of this study was to investigate the parameter identification of seated human body dynamic model. A seven-degree-of-freedom (DOF) lumped parameter model was established to describe the vibration response characteristics of human body. The derivation processes of apparent mass (AM) and seat to head transmissibility (STHT) were performed. After the theoretical calculation of the human body vibration characteristics, we used several different evolutionary algorithms to identify the 23 parameters of the model, including the mass, stiffness and damping parameters. By comparing the results of the five optimization algorithms and comprehensively analyzing the convergence and distribution of the non-dominated solution set, we found that the reference vector guided evolutionary algorithm (RVEA) shows good competitiveness in solving many-objective optimization problem (MaOP), that is, parameter identification of seated human body model in this paper. The AM and STHT calculated by model identification were compared with their measured by experiment. The result shows that the selected seven-DOF model can well describe the vertical vibration characteristics of seated human body and the identification method used in this paper can accurately identify the parameters of lumped parameter model, which provides convenience for the establishment of a complete “road-vehicle-seat-human body” system dynamic model.
Hypocoercivity and controllability in linear semi‐dissipative Hamiltonian ordinary differential equations and differential‐algebraic equations

For the classes of finite‐dimensional linear time‐invariant semi‐dissipative Hamiltonian ordinary differential equations and differential‐algebraic equations with constant coefficients, stability and hypocoercivity are discussed and related to concepts from control theory. On the basis of staircase forms, the solution behavior is characterized and connected to the hypocoercivity index of these evolution equations. The results are applied to two infinite‐dimensional flow problems.
Surface Charge and Field Distribution in a Finite SAW Transducer

Using the moment-method technique, closed-form expressions for the surface charge, potential and electric fields of a finite transducer over a low coupling substrate are derived. The influence of the end effects on the total capacitance of the transducer are studied and the field patterns of three different electrode sequences are computed. It is shown that for Y-Z lithium niobate, the surface-charge density is proportional to the normal component of the electric field under the transducer. The moment-method technique was also used to study the total input admittance of finite transducers on Y-Z lithium niobate as a function of the number of finger pairs. Numerical results indicate that the increase in capacitance and conductance with the number of finger pairs, when the number of finger pairs exceeds three, is approximately constant.
A novel SVM-based hysteresis current controller

In this paper, a novel space vector modulation (SVM)-based hysteresis current controller (HCC) for squirrel cage induction motors is proposed. This technique utilizes all advantages of the HCC and SVM technique. The controller determines a set of space vectors from a region detector and applies a space vector selected according to the main HCC. A set of space vectors including the zero vector to reduce the number of switchings is determined from the sign of the output frequency and output signals of three comparators with a little larger hysteresis band than that of the main HCC. A simple hardware implementation is proposed and experimental results of the SVM-based HCC are also shown.
Multiple single-phase PWM inverter by means of combination control

A new multilevel inverter with simple circuit configuration and control is proposed here. The inverter is composed of a series connection of individual single-phase inverters. The number of the output voltage levels depends on the number of the individual inverters in series and their output voltage level. The switching devices in the new circuit configuration can be reduced by using a common switching-leg for the individual inverters. In this inverter circuit, the number of the levels is equal to 2m-1 or 2m where m is the number of switching-legs used. In the paper, a 15 level inverter using four switching legs (m = 4) is introduced. If the number of voltage levels is increased, smoother sinusoidal waveforms can be obtained directly and it is possible to control the output voltage almost continuously from zero to maximum without generating high-voltage step changes as pulsewidth modulation techniques. The control principle, the circuit configuration and the characteristics of the output voltage control are discussed. The feasibility of the circuit is demonstrated by simulation and experimental results.
Sustaining Business Beyond Corporate Hypocrisy: Social Distance and Corporate Social Initiatives

The involvement of firms in charitable initiatives has been put into practice utilizing direct corporate donations, corporate volunteering, and cause-related marketing. Despite the popularity of such marketing tools, consumers have become skeptical of such practices. The corporate sector and charity organizations struggle to channel more resources toward charity causes. In light of this, the study investigates how value-driven individual differences – self-construal – moderate the relationship between social distance and donation behavior. The results of two experiments reveal that, when individuals evaluate donation options jointly, social distance evokes a mental process through which individuals tend to go for time donations, if the event is organized by someone similar, whereas individuals tend to choose the money donation option if the event is organized by someone dissimilar. The interaction effect is well pronounced, concerning money donations compared to time donations. Moreover, the lower social distance attenuates skepticism towards Cause-Related Marketing (CRM) and Corporate Social Responsibility (CSR) initiatives.