Miracle-dz/UniFAR-FTUs huggingface dataset:
Water system design for Wadjemup Conservation Centre expansion on Rottnest Island

Continuing with the development of Rottnest Island’s infrastructure, the existing nursery is under examination for its expansion. Taking on the goals of the Rottnest Island Authority, the aim of the expansion will be to have the buildings off the grid for water and electricity as well as providing accommodation for researchers, workspace for the island's horticulturalists and volunteers, as well as being an educational building for the island's visitors focusing on environmental issues. This project tackles the water aspect of the development. This was conducted through measuring the current water use and extrapolating this data to find the projected use at the future site. From this a review of options was conducted to find what could be used at the site to ensure water availability and treatment. The considered options have been split into 3 categories: input, which compared desalination and combination of rainwater and desalination; On-site use, which compared the use of composting toilets and rainwater flushed toilets and also the inclusion of a greywater system; Effluent treatment models, which compared existing models and assessed their appropriateness for the Rottnest system. The models reviewed are Findhorn’s “Living machine”, Currumbin’s textile filters, Capo Di Monte’s membrane bioreactor and Council House 2’s ultra-filtration system. The 48 possible combinations were condensed down to 14 systems due to constraints present with certain components. These final 14 options were compared against each other in a MCA table weighted with concerns from stakeholders on the criteria. This concluded in the decision of having a system comprising of a combined rainwater harvesting and desalination water source as the input, reclaimed water-flushed toilet system with the Currumbin model textile filter as the effluent treatment method. Pricing this method gave a 20 year payback period for the system, as the lifespan of the majority of the components was also 20 years, this system provided no financial benefits making this project break-even.
Balancing out Bias: Achieving Fairness Through Balanced Training

Group bias in natural language processing tasks manifests as disparities in system error rates across texts authorized by different demographic groups, typically disadvantaging minority groups. Dataset balancing has been shown to be effective at mitigating bias, however existing approaches do not directly account for correlations between author demographics and linguistic variables, limiting their effectiveness. To achieve Equal Opportunity fairness, such as equal job opportunity without regard to demographics, this paper introduces a simple, but highly effective, objective for countering bias using balanced training.We extend the method in the form of a gated model, which incorporates protected attributes as input, and show that it is effective at reducing bias in predictions through demographic input perturbation, outperforming all other bias mitigation techniques when combined with balanced training.
International Journal of Evaluation and Research in Education (IJERE)

Nisar Abid, Aqeela Samuel, Rizwan Ali, Almas Shoaib, Waqar Younas Warraich Department of Education, Virtual University of Pakistan, Lahore, Pakistan Department of Education, Govt. Graduate College for Women Gulberg, Lahore, Pakistan Lahore Business School, The University of Lahore, Lahore, Pakistan School of Social Sciences and Humanities, University of Management and Technology, Lahore, Pakistan Department of Mass Communication, University of Central Punjab, Lahore, Pakistan
Appendix S 2 : Running and testing GARP

SI.wetness is the individual response to wetness, varying non-parametrically between 0 and 1 (Fig. S1a), and SI.southness is the response to how south-facing a site is, varying parametrically between 0 and 1 (Fig. S1b): SI.southness = 0.000001 × (southness). The response to geology (SI.geology) is simply set at four levels: response to class 1 = 1, class2 = 0, class3 = 0.6, class4 = 0.3. The overall suitability is not a simple addition of these terms but involves an interaction between wetness and the sum of the responses to southness and geology. This implies that southness and geology substitute for one another but wetness overrides both.
Empirical Analysis for Stock Price Prediction Using NARX Model with Exogenous Technical Indicators

Stock price prediction is one of the major challenges for investors who participate in the stock markets. Therefore, different methods have been explored by practitioners and academicians to predict stock price movement. Artificial intelligence models are one of the methods that attracted many researchers in the field of financial prediction in the stock market. This study investigates the prediction of the daily stock prices for Commerce International Merchant Bankers (CIMB) using technical indicators in a NARX neural network model. The methodology employs comprehensive parameter trails for different combinations of input variables and different neural network designs. The study seeks to investigate the optimal artificial neural networks (ANN) parameters and settings that enhance the performance of the NARX model. Therefore, extensive parameter trails were studied for various combinations of input variables and NARX neural network configurations. The proposed model is further enhanced by preprocessing and optimising the NARX model's input and output parameers. The prediction performance is assessed based on the mean squared error (MSE), R-squared, and hit rate. The performance of the proposed model is compared with other models, and it is shown that the utilisation of technical indicators with the NARX neural network improves the accuracy of one-step-ahead prediction for CIMB stock in Malaysia. The performance of the proposed model is further improved by optimising the input data and neural network parameters. The improved prediction of stock prices could help investors increase their returns from investment in stock markets.
Radiation analysis of on‐platform antenna using MoM‐PO combined with surface–surface configuration

In this article, wire antennas installed on electrically large structures are modeled by surface–surface configuration. The surface–surface configuration is applied to the hybrid method of moments–physical optics (MoM‐PO) to solve electromagnetic radiation problem of wire antennas mounted on electrically large conducting platform. Numerical results for the arbitrary shaped perfectly electric conducting are considered. Compared with the wire–surface configuration, the surface–surface configuration is easy to ensure the current continuity at the junction and maintain the required good accuracy. Additional complex basis functions are not required in surface–surface junction model compared with wire–surface junction model. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.
Efficient design of SIW filters by using equivalent circuit models and calibrated space‐mapping optimization

This article presents a very efficient technique for the design of filters in substrate‐integrated waveguide (SIW) technology. The proposed design approach is based on the combined use of equivalent circuit models of SIW discontinuities and a “calibrated” space‐mapping optimization technique. The effectiveness of this design technique is demonstrated through some examples. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.
PENGARUH TINGKAT PENDAPATAN DAN PENGETAHUAN EKONOMI TERHADAP TINGKAT KONSUMSI MAHASISWA PROGRAM PASCASARJANA UNIVERSITAS NEGERI SURABAYA

The study aims to 1. ) analyzing the Influence of the Income Level to Consumption Level In Post Graduate Students Universitas Negeri Surabaya, 2. ) analyzing the Influence of the Economics Knowledge to Consumption Level In Post Graduate Students Universitas Negeri Surabaya, 3. ) analyzing the Influence of the Income Level and the Economics Knowledge of Consumption Level In Post Graduate Students Universitas Negeri Surabaya. The population in this study were Post Graduate Students Universitas Negeri Surabaya, using proportional random sampling technique sampling. Methods of analysis using multiple regression analysis. The results showed that the level of income has partially significant effect on the level of student consumption Post Graduate Students Universitas Negeri Surabaya. Economics Knowledge negatively affect consumption levels Post Graduate Students Universitas Negeri Surabaya. Income levels and economic knowledge simultaneously have a significant effect on the level of student consumption Post Graduate Students Universitas Negeri Surabaya
Contemporary Sustainable Development Problems of Construction Industry: Case of Latvia

Sustainable construction industry development is important for every country, and its importance increases together with increase of population in the world. The aim of the research is to analyze sustainable construction industry development key problems, focusing on environmental component. Comparison, data analysis, induction and logical access methods have been used in the research. The practical research focuses on case of Latvia. Research investigates environmental, social and ecological aspects of the item. Research results demonstrate high importance of energy efficiency in sustainable construction development, as well as future research direction has been identified
Analysis of Variance and Covariance: How to Choose and Construct Models for the Life Sciences by DONCASTER, C. P. and DAVEY, A. J. H.

In most studies, the intended (full) data, i.e., the data that the study investigators wish to collect, are inevitably incompletely observed. In modern studies, the full data are typically high dimensional, usually comprising many baseline and timevarying variables. Scientific interest, however, often focuses on some low-dimensional parameter of the distribution of the full data. Specification of realistic parametric models for the mechanism generating high-dimensional data is most often very challenging, if not impossible. Nonparametric and semiparametric models, i.e., models in which the data-generating process is characterized by parameters ranging over a large, non-Euclidean, space and, possibly, also a few meaningful real-valued parameters, meet the analytic challenge posed by these high-dimensional data because they do not make assumptions about the components of the full data distribution that are of little scientific interest. Analytic strategies based on semiparametric models avoid the possibility of incorrect inferences due to misspecification of models for the secondary parts of the full data law. Drawing from the modern theory of semiparametric efficient inference developed since the 1980s, Robins and Rotnitzky (1992) derived a general estimating equations methodology in coarsened, i.e., incompletely observed, data models under nonor semiparametric models for arbitrary full data configurations. This methodology, based on the geometry of scores and influence functions, applies when the
A Comparison of Interactive Multimedia Instruction Designs Addressing Soldiers Learning Needs

Abstract : This report is the third in a series of three, focusing on applying instructional design and tailored training techniques to address the Army Learning Models (ALM) point of need concept. Here, results are presented from an experiment testing three variations of needs-focused interactive multimedia instruction (IMI) for two topic domains, one more familiar to learners, and one less familiar. The three IMI variations were familiarization, core/refresher, and tailored training. The content domains were Adjust Indirect Fire (less familiar to the target audience) and Conduct a Defense by a Squad (more familiar to the target audience). The IMI content targeted new squad/team leaders (i.e., E-4 Specialist/Corporal and E-5 Sergeant). The experiment was conducted with 91 Soldiers enrolled in the Warrior Leaders Course at Fort Benning, GA. All the IMI variations were associated with increased test scores on posttests, but Soldiers in the less familiar topic condition benefitted from tailored training IMI significantly more than Soldiers in the more familiar topic condition. Tailored training design features, such as diagnostic assessment and individualized feedback, may support learners with less prior knowledge in selecting content to target their learning needs, similar to what more knowledgeable learners may already do.
The Evaluating the Efficiency Performance of Turkish Airports (2010 – 2014)

Air transport has a very important position in today’s social and commercial life. Therefore, effective management of the airports is very important for efficient use of resources and the provision for the investments. General Directorate of State Airports Authority (DHMI) in Turkey operate a large majority of the airports. It introduced a Build – Operate – Transfer (BOT) model and enables active private participation in airport management. This paper utilizes a data envelopment analysis (DEA) to compare the relative efficiency of the airports in Turkey for the years between 2010-2014. The analysis is performed in two stages. Firstly, efficiency scores for each airport are calculated. The number of employees, total expenses, the number of check in counters and the number of aprons were taken into account as inputs; the number of passengers, total revenues, aircraft traffic and baggage traffic were considered as outputs for DEA analysis. Secondly, statistical results and a censored Tobit regression model are employed to identify which factors significantly explain variations in the airport efficiency. Finally, efficiency scores and regression analysis are examined and evaluated.
Properly measure capacitance and dielectric loss of condenser-type transformer bushings

By the structure analysis of capacitive bushings and the theoretical calculation of capacitance and dielectric loss measurements,it is pointed out that,the measurement of widely used Xilin Bridge positive connection mode(mode 1),which installs the bushing flange vertically on the grounding metal stand,is not correct,and the measurement must be corrected by the given formulas for capacitance and dielectric loss tangent value;when test the transformer bushing not installed,the bushing flange should be insulated to ground(mode 2);only mode 1 can be used to test the transformer bushing installed,meanwhile the flange panel insulation resistance and capacitance should be measured respectively and the measurements corrected;the measurements without correction may result in the misjudge of fault.
Bayesian credible intervals for population attributable risk from case–control, cohort and cross‐sectional studies

Population attributable risk (PAR) and population attributable fraction (PAF) are used in epidemiology to predict the impact of removing a risk factor from the population. Until recently, no standard approach for calculating confidence intervals or the variance for PAR in particular was available in the literature. Previously we outlined a fully Bayesian approach to provide credible intervals for the PAR and PAF from a cross‐sectional study, where the data was presented in the form of a 2×2 table. However, extensions to cater for other frequently used study designs were not provided. In this paper we provide methodology to calculate credible intervals for the PAR and PAF for case–control and cohort studies. Additionally, we extend the cross‐sectional example to allow for the incorporation of uncertainty that arises when an imperfect diagnostic test is used. In all these situations the model becomes over‐parameterised, or non‐identifiable, which can result in standard ‘off‐the‐shelf’ Markov Chain Monte Carlo (MCMC) updaters taking a long time to converge or even failing altogether. We adapt an importance sampling methodology to overcome this problem, and propose some novel MCMC samplers that take into consideration the shape of the posterior ridge to aid in the convergence of the Markov chain.
Relation‐Level User Behavior Modeling for Click‐Through Rate Prediction

Many recent user behavior based click‐through rate models adopt a similar item‐level paradigm: learn the user representation from a list of item representations via a sequence model and/or a pooling mechanism. However, sequence models are usually sensitive to the exact order of the behavior sequence, while item‐level pooling mechanisms simply neglect the chronological information. In this paper, we balance the two approaches by decomposing the long item sequence into a group of extremely short sequences (item pairs) and conducting relational reasoning on them. More specifically, the relational reasoning mechanism consists of two parts, which are designed for capturing various transitional patterns in the behavior sequences. An attentive pooling layer is employed to emphasize those relation‐level signals that are highly related to the target item. Therefore, our approach is essentially a middle ground between the previous two approaches. To verify the effectiveness of our method, we conduct extensive experiments on three public datasets. Experimental results show that our methods achieve better performance than others. Besides, we explore the properties of our model and verify the effectiveness of each component by controlled experiments. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
The study on PSC/PSI application to BEPCII power supply prototype

There are about 350 magnet power supplies such as B, Q, S and so on in BEPCII double rings. Since power supplies need to be redesigned because of the number increasing from 97 to 350, the control system for the power supplies need to be rebuilt. According to the requirement of the magner power supplies with 5×10~(-5) precision and stability, we decided to use a BNL-designed PSC/PSI (Power Supply Controller/Interface) to control these high precision power supplies for ensuring their stability and against EMI. So, we changed the interface of the PSI so that the PSI is suitable for the prototype power supply. The prototype power supply is made with the interface circuit to the PSI. This paper describes the PSC/PSI application to the prototype power supply and some problems about the grounding between the control interface and devices. We present some methods how to solve the interference from the bad grounding of the system and power supply EMI.
Organized Crime and Technology

This paper investigates the relation between the presence of organized crime and the technology level in north Italy. Our analysis proposes two provincial indexes. The first portrays technology at a fine-grained industrial sector level. The second describes mafia-type organizations in line with the investigation approach currently used by Italian National Antimafia Directorate (DNA) and Antimafia District Directorates (DDAs). With these indexes, we provide empirical evidence that in north Italy, the larger the presence of organized crime, the less innovation and the technological level of the industrial fabric. Our reading of this finding is that without organized crime, Nature selects agents according to their capacity to innovate. Instead, with organized crime, agents can choose an alternative strategy: relate with organized crime, which hinders innovation. Modelling the interaction innovation - relation with mafias by evolutionary game theory, we show that the presence of organized crime, through natural selection, leads to low levels of technology. Our model also shows how to use sanctions and indemnities to address the problem.
Wide‐band analysis of wire antenna using MoM combined with best uniform rational approximation and surface–surface configuration

In this article, an efficient method based on the method of moments (MoM) combined with the best uniform rational approximation and surface–surface configuration is presented for the wide‐band analysis of wire antenna. Compared with the asymptotic waveform evaluation technique, the major advantage of the Maehly approximation is that it can be easily implemented into an existing MoM computer code. Compared with the wire‐surface configuration, the surface–surface configuration is easy to ensure the current continuity at the junction and maintain the required good accuracy. Numerical results including the input admittance and return loss show that the CPU time took by Maehly approximation is about 1/10 of the CPU time used by the traditional MoM. Good agreement between the presented method and the exact solution is observed. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.
CFD modelling of combined blast and contact cooling for whole fish

Fish quality is highly influenced by the cooling method which is applied during processing. Earlier research has shown that precooling whitefish fillets to a superchilled temperature in a CBC-cooler results in prolonged storage life. A CFD model which can simulate the effects of the CBC-cooling might save time and cost when predicting the necessary chilling time for a product when its thermal properties are known. CFD models were created in two and three dimensions in FLUENT to simulate the superchilling process inside the CBC-cooler, and were compared with experimental results from two tests. The temperature inside the CBC-cooler and the chilling period for the first test were −7.4◦C and 6 minutes, respectively. The corresponding values for the second test were −14.1◦C and 14 minutes. A thermal contact resistance between the aluminium belt and fish was determined to be R = 0.028 m2 K/W and the k− ε RNG turbulence model was selected to simulate the air flow in the computational domain. These settings were obtained by comparison of simulated and experimental results from the first test (6 min in holding time at−7.4◦C) and were used for all further simulations. The CFD model which simulated the settings in the second test resulted in a good comparison with measurements, although the temperature during the storage period resulted in an overestimation of temperature in the CFD model. Three meshes were compared and the one, which was most refined at the fish surface, generated the best results. The three dimensional model was applied to the latter test to investigate if the height differences along the fish had an effect on the temperature distribution. The CFD model resulted in a good comparison, and showed that 3D effects were in place. The results at position 1 (45 mm above the belt, closest to the fish surface in contact with air) were better than for the 2D case, which included the finest grid.
Enhanced Z-Source Inverter with Capacitor Voltage Stress and Soft-Start Capability

1,2,3 Department of Electrical & Electronics Engineering, Narayana Engineering College, Gudur AbstractThis paper proposes an improved Z-source inverter topology. Compared to the traditional Zsource inverter, it can reduce the Z-source capacitor voltage stress significantly to perform the same voltage boost, and has inherent limitation to inrush current at startup. The control strategy of the proposed Z-source inverter is exactly the same as the traditional one, so all the existing control strategy can be used directly. A soft-start strategy is also proposed to suppress the inrush surge and the resonance of Z-source capacitors and inductors. The operation principle of the proposed topology and comparison with the traditional topology are analyzed in detail. Simulation and experimental results are given to demonstrate the new features of the improved topology. KeywordsInrush current, soft start, Z-source inverter.