Miracle-dz/UniFAR-FTUs huggingface dataset:
Systematic Generation of Arbitrary Antenna Geometries

Applications for conformal, wearable antennas are growing for consumer electronics. Hence, it is important to assess to what degree antenna performance can be tolerant to in-situ deformations that can take the form of bending, crumpling and twisting and combinations of these effects. However, generating geometries of arbitrary antenna deformations such as bending, crumpling and twisting, that can be processed by standard electromagnetic software is a major challenge that significantly complicates full assessment of in-situ antenna performance. Constructive Solid Geometry methods of generating geometries is difficult to robustly apply to non-conformal antennas and more flexible techniques required to progress the antenna studies further. To address this challenge, this paper investigates the utility of the Green Coordinate method for spatial manipulation of 3D objects. First a calibration of a straightforward application of the GC method against a reference case of a patch antenna bent over a cylindrical surface, which can also be generated exactly, is undertaken. The paper shows that systemic scaling distortions are introduced by the GC method and introduces a compensation method that can overcome these distortions. Subsequently, the compensated method is used to obtain new predictions of the electromagnetic performance of patch antennas with deformations.
Spatiotemporal variations in water sources and mixing spots in a riparian zone

Abstract. Riparian zones are known to modulate water quality in stream corridors. They can act as buffers for groundwater-borne solutes before they enter the stream at harmful, high concentrations or facilitate solute turnover and attenuation in zones where stream water (SW) and groundwater (GW) mix. This natural attenuation capacity is strongly controlled by the dynamic exchange of water and solutes between the stream and the adjoining aquifer, creating potential for mixing-dependent reactions to take place. Here, we couple a previously calibrated transient and fully integrated 3D surface–subsurface numerical flow model with a hydraulic mixing cell (HMC) method to map the source composition of water along a net losing reach (900 m) of the fourth-order Selke stream and track its spatiotemporal evolution. This allows us to define zones in the aquifer with more balanced fractions of the different water sources per aquifer volume (called mixing hot spots), which have a high potential to facilitate mixing-dependent reactions and, in turn, enhance solute turnover. We further evaluated the HMC results against hydrochemical monitoring data. Our results show that, on average, about 50 % of the water in the alluvial aquifer consists of infiltrating SW. Within about 200 m around the stream, the aquifer is almost entirely made up of infiltrated SW with practically no significant amounts of other water sources mixed in. On average, about 9 % of the model domain could be characterized as mixing hot spots, which were mainly located at the fringe of the geochemical hyporheic zone rather than below or in the immediate vicinity of the streambed. This percentage could rise to values nearly 1.5 times higher following large discharge events. Moreover, event intensity (magnitude of peak flow) was found to be more important for the increase in mixing than event duration. Our modeling results further suggest that discharge events more significantly increase mixing potential at greater distances from the stream. In contrast near and below the stream, the rapid increase in SW influx shifts the ratio between the water fractions to SW, reducing the potential for mixing and the associated reactions. With this easy-to-transfer framework, we seek to show the applicability of the HMC method as a complementary approach for the identification of mixing hot spots in stream corridors, while showing the spatiotemporal controls of the SW–GW mixing process and the implications for riparian biogeochemistry and mixing-dependent turnover processes.
Active Power Control of Grid Tied SPV System with DSTATCOM Capabilities

Abstract This paper presents an active power control of SPV (Solar Photovoltaic) grid tied system with the DSTATCOM (Distribution Static Compensator) capabilities using recursive least square (RLS) control algorithm with IC (Incremental Conductance) maximum power point tracking. The system serves dual purpose of working as a SPV-DSTATCOM and DSTATCOM in presence and absence of solar power, respectively. The SPV-DSTACOM provides compensating currents along with active current component thus fulfilling active power demand of connected load and feeds active power to the grid along with improving the power quality. Moreover, when the solar power is not available during night or low solar irradiation conditions, the system works as a DSTATCOM providing compensating current which improves the power quality of the system during load unbalance, harmonics and reactive power. A RLS based adaptive algorithm is used to do these functions at good convergence than conventional LMS (Least Mean Square) algorithm. Thus, the proposed system is capable to meet peak power demand when the solar energy is available and it improves the system power quality during day and night. The system responses under varying conditions is demonstrated on s developed prototype.
The Impact of Commodity Price Shocks on Banking System Stability in Developing Countries

This study examines the impact of commodity price shocks on the banking sector stability of 18 African commodity-exporting economies using an unbalanced panel dataset spanning a 16-year period from 2000–2015. The study on the impact of commodity price shocks on African commodity-exporting economies’ banking sectors was estimated using a panel fixed effects model. The empirical findings indicate that commodity price shocks increase bank credit risk (non-performing loans) and, thus, pose a risk to the banking sector stability of African commodity-exporting economies. The results for the disaggregated shocks reveal that both positive and negative shocks weaken banking sector stability. In addition, commodity price shocks are discovered to decrease credit extension to the private sector, highlighting an additional channel through which the impact of commodity price shocks may be perpetuated to the real economy.
Putting on your best face: investigating social anxiety in Instagram users

ABSTRACT Objective Socially anxious individuals may prefer social media platforms over in-person interactions. For those with high social anxiety (SA), Facebook-related tasks have been associated with anxiety, negative thoughts, and safety behaviours. However, Instagram-related research remains limited. The present study aimed to assess Instagram use alongside cognitive and behavioural processes among participants with low, medium, and high SA. We hypothesised that when using Instagram, individuals with higher SA would (1) experience more negative social cognitions, (2) report higher body image concerns, (3) endorse more safety behaviours when posting pictures, and (4) engage in more photo manipulation. Method A sample of 213 Instagram users completed an online survey and were divided into groups based on SA severity. Results The high SA group reported comparing themselves to others and being more anxious on Instagram than the low and medium SA groups. Four 3 (SA groups) x 2 (gender) ANOVAs revealed support for the first three hypotheses and that there was no interaction effect between SA and gender for all outcomes. Conclusions Results expand our understanding of how specific social media platforms may be aversive for individuals with high SA, which has important implications for conceptualising the role of safety behaviours in online interactions. KEY POINTS What is already known on this topic: Individuals with high social anxiety may prefer online social interactions. Clark and Wells’ cognitive model of social anxiety can be extended to the online social media platforms. Social anxiety may be underpinned by body image concerns. What this paper adds: Instagram users with social anxiety experienced more negative social media cognitions and reported more safety behaviours. Instagram users with social anxiety also experienced more body image concerns. Despite gender differences in photo manipulation, an associated relationship with social anxiety was not supported.
PK–12 District Leadership for Equity: An Exploration of Director Role Configurations and Vulnerabilities

Purpose: This study sought to understand PK–12 district-level equity directors’ efforts to improve experiences of students of color and outcomes in US districts. Research Methods: We interviewed 13 practicing equity directors and analyzed artifacts such as meeting minutes, equity policies, equity mission statements, job descriptions, and organizational charts. Findings: Directors experienced structural and psychological vulnerabilities depending on how their districts structured the role with positional power, resources, and authority to carry out their leadership work. Equity directors’ roles were often ambiguous and at times misaligned to the expected leadership tasks. Institutionalized racial and gender oppression compounded the vulnerabilities of the role. Implications: To realize the full potential of this new district leadership position, districts must attend not only to what they expect equity directors to accomplish but also to the configurations of the role as it intersects with labor-related racial and gender oppression in districts.
The Maximum Number of Appearances of a Word in a Grid

Abstract How can you fill a 3 × 3 grid with the letters A and M so that the word “AMM” appears as many times as possible in the grid? More generally, given a word w of length n, how can you fill an n × n grid so that w appears as many times as possible? We solve this problem exactly for several families of words, and we asymptotically solve this problem in higher-dimensional grids.
A hybrid method for forecasting river-suspended sediments in Iran

ABSTRACT Estimation of sediment mass carried by rivers is an important issue in Hydrological Sciences. The main purpose of this research was to find an appropriate method to compute sediment discharge. Some machine-learning approaches have been used to forecast river-suspended sediments, correctly. One of the most effective and traditional approaches for forecasting events is to use artificial neural networks (ANNs). So, we are going to improve the performance of ANNs in estimation of suspended sediments, upon a data of Baba Aman basin in Iran. We first apply a typical neural network and obtain the root-mean-square-error of and the correlation coefficient of . Then, to improve the prediction ability of ANNs, we hybridize this method with cuckoo optimization algorithm (COA). Combination of ANNs with COA causes reduction in root-mean-square-error to , increasing in correlation coefficient to and also proposing a better model.
Is Increased Resting Heart Rate after Radiofrequency Pulmonary Vein Isolation a Predictor of Favorable Long-Term Outcome of the Procedure?

Background: Increased resting heart rate (RHR) after pulmonary vein isolation (PVI) for treatment of atrial fibrillation (AF) is a common observation, possibly resulting from ganglionated plexus modification during ablation. Previous trials have suggested that an increase in RHR after ablation might be related to higher efficacy of the procedure. The aim of this study was to determine whether or not higher increase in RHR after radiofrequency (RF) PVI might predict better long-term outcome of the procedure in a real-life cohort of patients in whom index ablation for paroxysmal AF was performed. Material and methods: The health records of patients who underwent index point-by-point or drag lesion RF PVI for paroxysmal AF in our department between January 2014 and November 2018 were analyzed. Resting heart rate (RHR) was determined from 12-lead ECG recorded prior to the ablation and before discharge to evaluate changes in RHR after PVI. Only patients in sinus rhythm before the procedure and at discharge were included in the analysis. Telephone follow-up was collected for evaluation of arrhythmia recurrence status. Results: A total of 146 patients who underwent PVI for paroxysmal AF were included. Mean follow-up time was 3.5 years. RHR increased from 64 [58.5–70], prior to procedure, to 72 [64.25–80] bpm at discharge (p < 0.001). Higher increase in RHR was not protective from arrhythmia recurrence in long-term observation in both univariable HR = 1.001 (CI 0.99–1.017, p = 0.857) and multivariable analyses HR = 1.001 (CI 0.99–1.02, p = 0.84). Conclusions: RHR after PVI increased in comparison to baseline in our cohort. However, we did not observe higher increase in RHR to be associated with more favorable long-term effectiveness of the procedure.
Planning a robotic competition

Education changes, and pupils and students require a more active role. Educational competitions could be an answer. This paper highlights the key points as these were revealed through setting up an event of an educational robotic competition from zero. It, also, presents statistics collected in different periods: before the competition, directly after it, and finally at a notable time after the competition (about 6 months). To collect the data, the completion of four different questionnaires, for every annual event, was asked separately, by the participants and the organizers. The paper provides empirical insights on setting up an educational competition. It also outlines the characteristics of the students taking part and underlines the results that the contents have on them. It suggests that teamwork and collaboration within the team is a prerequisite for a competition to have an impact on the educational process. Furthermore, robotic competitions raise the interest of students in robotics, programming, and STEM, while they develop social skills and create bonds between the participants. Moreover, it is a useful tool for educators.
Developing interactive learning for environmental issues

The environment is being negatively affected by the behavior of human beings. Climate change, while a natural occurrence, is happening at an unnatural pace, sped up by human actions. Even with these things in mind, it seems an impossible task to get people to move toward positive environmental impacts. While many people are aware of environmental issues, they don’t fully understand what actions are contributing to the problems, what alternative options they have, or how they can help alleviate the problem. With that in mind, I examine how effective interactive design can be at creating a learning environment by utilizing fun and interaction to generate interest which creates an effective, positive learning environment. When it is fun and interactive, people seek information naturally and they associate that new information with positive emotions.
Detail-Injection-Based Multiscale Asymmetric Residual Network for Pansharpening

Although the multiresolution analysis (MRA)-based pansharpening methods are able to generate high-resolution multispectral (HRMS) images with good spectral retention, they are prone to spatial distortion. To address this problem, this letter combines deep learning (DL) with the MRA methods and proposes a novel detail-injected-based multiscale asymmetric residual network. The difference strategy is combined with MRA methods and the corresponding injection coefficients are obtained using the multiscale residual block (MSRB) to effectively map spatial information to each waveband of the multispectral (MS) images. In addition, asymmetric convolution block (ACB) is embedded in the residual network to obtain more robust features, and an inception feature pyramid network (FPN) is designed to enrich the spatial information of the fusion results while fusing features at different levels. Experimental results show that the method proposed in this letter outperforms the state-of-the-art pansharpening methods.
Performance analysis of parameter estimator on non-linear iterative methods for ultra-wideband positioning

ABSTRACT Ultra-wideband is a promising technology in indoor positioning due to its accurate time resolution and good penetration. Since the positioning model is non-linear, iterative methods are often considered for solving the localisation problem. However, the positioning system is prone to become ill-posed. The iterative methods cannot easily converge to a global optimal solution. In this paper, the convergence property of four non-linear iterative methods is analytically reviewed under ill-conditioned configuration. For the iteration, three types of initial values are selected. Experimental results are given to demonstrate that although the barycentre method can converge correctly, it is inefficient with too many iterations. In addition, with a good initial value, the Gauss–Newton method can converge effectively, and it sometimes converges to a false local optimisation solution when selecting a bad initial value. Moreover, both the regularised Gauss–Newton method and closed-form Newton method can converge to the global optimum effectively with fewer iterations. This study shows that the closed-form Newton method has higher efficiency of convergence than the other methods. Meanwhile, to make complete use of measurements available to improve the accuracy, the result of non-iterative method is generally used as the initial value of the iterative method.
Price and Quality Analysis of Purchasing Decision Making at Rocket Chicken Mojokrapak Jombang

The purpose of the study was to determine the effect of price and product quality on purchasing decisions at Rocket Chicken Jombang. This study uses quantitative research methods, using the type of multiple linear regression. This research uses survey research method. the population in this study are consumers at Rocket Chicken Tembelang Jombang. The sampling method used was accidental sampling. The samples taken in this study were 50 respondents, namely consumers of Rocket Chicken Tembelang Jombang. The data used are primary and secondary data. Collecting data through activities, namely a) distributing questionnaires, b) interviews with interviewees with interview instruments, c) documentation in the form of writing or pictures, and d) literature review for the purposes of preparing reports. The data processing of the results of this study uses the type of multiple linear regression. The results obtained indicate that the price has a significant effect on purchasing decisions at rocket chicken tembelang jombang, this is evidenced by the t-count value of 5.029 with a significance level of 0.000 < from 0.005. Food quality has no significant effect on purchasing decisions at rocket chicken tembelang jombang, this is evidenced by the t-count value of 2,343 with a significance level of 0.023 > from 0.005.
Improved pulse-width modulation scheme for T-type multilevel inverter

In recent times, reduced switch count multilevel inverter (RSC-MLI) has become an emerging area of research in power electronic converters. To control these RSC-MLI topologies, various novel modulation schemes are reported. Multi-reference is one of such modulation scheme reported for various RSC topologies, such as T-type. However, the performance of this conventional scheme results in high total harmonic distortion (THD) in line voltages, when compared with the conventional level shifted pulse-width modulation scheme. This observation is clearly presented in this study and the reason for its degraded THD performance has been deeply discussed. To alleviate this problem, a modified multi-reference dual-carrier modulation technique with multiple references and two carriers is proposed. To implement this proposed modulation technique, an alternate carrier and modulation signals arrangement with multiple carriers and single reference is also presented. Finally, a comparative THD performance of the proposed and conventional modulation schemes is carried out on a five-level T-type MLI and obtained simulation results are validated experimentally.
The four Rs performance indicators of water distribution networks:A review of research literature

Purpose The purpose of this paper is to review the different interpretations of four key performance indicators of water distribution networks (WDNs): reliability, resilience, redundancy and robustness. It then addresses a range of metrics which have been developed to assess the performance of critical infrastructures, in particular WDNs. Design/methodology/approach The paper provides a comprehensive review and categorization of performance indicators of WDNs. The main focus is on papers addressing performance indicators of water distribution systems, additionally papers on application of complex system approach to critical infrastructures are also included. Findings Due to this complexity, a wide range of interpretation of WDNs performance indicators exists in the literature. This represents a significant impediment toward universally accepted interpretation of these indicators Accurate assessment of WDNs’ performance depends on clear definition of system performance indicators as well as accurate quantifying of these indicators. The application of 18 metrics as a basis for assessing the system performance have been reviewed in this paper and none are particularly significant as standalone values. Combination of these indicators are required to accurately indicate the performance of WDNs. Originality/value The authors believe that this paper can be a valuable source of information for academic researchers and practitioners and suggests a roadmap for future works.
Peran Pelatihan dan Keterikatan Kerja Untuk Meningkatkan Kinerja Karyawan Pada Industri Telekomunikasi

Penelitian ini dilakukan dengan tujuan untuk mengetahui peran pelatihan, keterikatan kerja terhadap kinerja pegawai pada pegawai pada Industri Penyediaan Jasa Telekomunikasi yang berdomisili di wilayah Jabodetabek. Variabel bebasnya adalah pelatihan, keterikatan kerja, sedangkan variabel terikatnya adalah kinerja pegawai. Populasi dalam penelitian ini adalah karyawan yang berdomisili di wilayah Jabodetabek yang bekerja di perusahaan jasa telekomunikasi. Jumlah sampel yang terdapat dalam penelitian ini adalah 200 responden. Teknik pengambilan sampel yang terdapat dalam penelitian ini menggunakan metode non probability sampling dengan teknik purposive sampling, pengujian instrumen data menggunakan uji validitas dan uji reliabilitas. Metode yang digunakan dalam penelitian ini adalah Structural Equation Modeling (SEM). Berdasarkan penelitian ini ditemukan bahwa pelatihan berpengaruh positif dan signifikan terhadap kinerja karyawan. Selanjutnya pelatihan berpengaruh positif dan signifikan terhadap work engagement. Kemudian work engagement berpengaruh positif dan signifikan terhadap kinerja karyawan. Kata kunci : Pelatihan, Keterlibatan Kerja, Kinerja Karyawan.
An Applied Geographic Information Systems and Science Course in R

The content discussed within this paper refers to the module created for the academic year 2020-2021: https://andrewmaclachlan.github. io/CASA0005repo_20202021/. At the conclusion of each year content is copied to a new repository ending with the academic year it was taught, whilst the content applicable to the current academic year remains on the primary repository: https://github.com/andrewmaclachlan/CASA0005repo. This allows the authors and external users to track the development of the content.