Miracle-dz/UniFAR-FTUs huggingface dataset:
Current Controlled Transmitter for High Frequency WPT utilizing Non-Invasive PCB Integrated Rogowski Current Sensor

This paper introduces a current controlled transmitter for WPT based on a differential Class E inverter with dual symmetrical LCL resonant networks for the transmitter and the receiver. The current control loop is implemented using a digital controller that maintains constant transmitter circulating current by adjusting the inverter input voltage using a pre-regulation stage. High frequency accurate current measurement has been carried out by a non-invasive, PCB integrated Rogowski current sensor. Sensor optimization procedure, and design considerations for the PCB integrated current sensor has been demonstrated via ANSYS MAXWELL simulation and verified experimentally. The differential Class E inverter operates in real-time ZVS operation using dedicated high frequency ZVS sensors with only few nano-second delay. The current controlled transmitter operation has been tested on a 12MHz 100W experimental prototype with all the required peripherals and sensing circuitry, alongside a capacitive medium emulator. The experimental prototype achieves peak efficiency of 83% and superior thermal performance.
Translates of Sequences in Sets of Positive Measure

Given a measurable set A of real numbers with measure mA > 0, and a sequence {dn } of real numbers converging to zero, is there always an x such that x + dn ∈ A for all n sufficiently large? The answer to this question, which was posed to the authors by P. Erdös, is NO.
Coaxial jets with and without swirl

Measured values of mean velocity, Reynolds stresses and probability density distributions of fluctuating velocity are reported for the turbulent coaxial jets, with and without swirl, emerging into stagnant surroundings from a long pipe and an annulus concentric with the pipe. They were obtained using hot-wire anemometry and on-line data processing with the aid of a mini-computer. The results show that non-swirling coaxial flow configurations approach a self-similar state in a much smaller distance than that of the round jet, for velocity ratios ranging between 0·65 and 1·5; this is due to the mixing layer and vortex shedding that occur in the region downstream of the separation wall between the two streams. In the presence of swirl, the coaxial jet was found to develop at a faster rate. An assessment of turbulence models, based on Reynolds stress closures, suggests that previous assumptions for turbulent diffusion of turbulent kinetic energy are in error.
Review of Radiated EMI Modeling and Mitigation Techniques in Power Electronics Systems

Radiated electromagnetic interference (EMI) is a very important research topic in power electronics systems in recent years as the switching frequency of power electronics converters increases significantly. In this article, the mechanism of radiated EMI generation and propagation in power electronics systems was disclosed, a generalized radiated EMI model was developed at first. Then, switching characteristics and its impact on radiated EMI was compared between wide bandgap (WBG) devices and Si MOSFETs. Third, the radiated EMI modeling and mitigation techniques including component improvement, PCB layout improvement, high-frequency EMI filters, and shielding, etc. were reviewed and summarized. Both the radiated EMI research above 30MHz and below 30MHz are surveyed. Future challenges and research topics for the radiated EMI are systematically summarized in the end.
Enhancing the Admissions Process for Engineering Baccalaureate Programs: A Machine Learning Approach to Developing a Valid and Reliable Examination

This paper details an approach to identify multiple-choice questions that are most effective in discriminating deficiencies in mathematics competencies of incoming first-year engineering students who are graduates of the K-12 program that was recently implemented in the Philippines. To achieve this objective, machine learning algorithms such as the k-Nearest Neighbors (kNN), Logistic Regression (LR), Random Forest (RF), Decision Tree (DT), and Gradient Boosting Machines (GBM) were implemented. From a question bank containing 1,300 questions covering Algebra (A), Advanced Algebra (AA), Plane and Spherical Trigonometry (T), Analytic Geometry (AG), and Solid Mensuration (SM), five domain experts identified the suitability of the questions as part of a diagnostic examination in mathematics. Specifically, using a 5-point Likert scale (5 being the highest), the experts rated the suitability of each question to test the proficiency of a student in 23 mathematics competencies based on what is prescribed by the Commission on Higher Education (CHED). The collected survey data were then used to train the machine learning models, which extracted patterns to identify the questions that would be most suitable to test the mathematics competencies of incoming first-year engineering students. With a precision recall score of 99.90%, the LR model was selected as the best performing model and analysis of how the LR model predicts the labels through the use of shap values revealed that the preference was given towards questions which test student proficiency in foundational mathematics competencies like that of Algebra and Analytical Geometry. Overall, these findings provided a better understanding of the questions that are most effective in discriminating student deficiencies in mathematics subjects.
An octree-based solution-adaptive Cartesian grid generator and Euler solver for the simulation of three-dimensional inviscid compressible flows

Cartesian grid generation methods are especially designed algorithms to generate automatic grids for complex geometries and to simulate flows around such geometries regardless of the body shape. Cartesian grids are generated by constructing an octree-based data structure for the purpose of connecting the Cartesian cells to each other. Entire algorithm is implemented in object-oriented FORTRAN programming language. Some special Cartesian algorithms, namely, Ray-Casting method and cut-cell adaptation are used around three-dimensional closed bodies. The flow field around the solid body is obtained by employing Euler equations which are discretised by using finite volume method. Validation of the numerical results is accomplished by comparison with the experimentally obtained data from the flow around ONERA M6 wing. Employing the solution adaptation techniques, pressure coefficients and contours of the flow around the wing have verified and captured two shock waves (weak leading edge shock and midchord shock) by the developed grid-generator-with-eULER-solver-for-3D-applications (GeULER3D) code.
An Evaluation of the ‘My Home Life’ Leadership Support Programme for Care Home Managers

: Care homes are central to the provision of care for older people and it is essential the leaders in this sector are supported to enhance the equality of care provided to these residents, often with multiple and complex needs and co-existing health conditions. The My Home Life Leadership Support program (MHLLS) is an innovative approach that enhances the culture of care in these settings. This study explored the findings of 298 participants who completed the program in England, Scotland, and Northern Ireland. Data were analyzed from two questionnaires which are routinely completed, by participants on the MHL LSP, the Assessment of Workplace Schedule (AWES) and the Perceptions of Workplace Change Schedule (PoWCS). The results were categorized by factors identified by the exploratory factor analysis. This study focuses only on the quantitative findings from pre-and post-questionnaires. The study also provides an updated factor analysis of the AWES and POWCS. The results provide robust evidence of the overall positive impact of the MHLLS program across the three participating countries. The key areas in which MHL participants report significant change within their care homes are recognition and regard for them and their staff, workload, quality of care, and working relationships. Overall, this study has demonstrated a significant positive change in managers' leadership skills and their perceptions of the impact of this on staff, relatives, and residents.
Effect of Low Light Stress on Distribution of Auxin (Indole-3-acetic Acid) between Shoot and Roots and Development of Lateral Roots in Barley Plants

Simple Summary Depending on their habitat conditions, plants can greatly change the patterns of biomass allocation between different organs. Thus, low light inhibits the growth of roots, but at the same time, plants maintain elongation of their shoots. Phytohormones ensure the coordination of processes occurring in different plant organs due to the transmission of signals regarding changes in the environment. They are synthesized both in roots and shoots. Their transport from roots to shoots and vice versa occurs through the xylem and phloem, respectively. It is believed that long distance transport of auxins is important for the control of the growth of roots under conditions of low light; however, the mechanism of these effects remains unclear. The inhibition of lateral root emergence in barley under reduced levels of irradiance is due to a disturbance of auxin transport through the phloem and down-regulation of the genes responsible for auxin transport in plant roots. A comparison of results obtained for wheat and barley shows that mechanisms controlling the auxin signal sent from shoots to roots can be different and species specific. Abstract Depending on their habitat conditions, plants can greatly change the growth rate of their roots. However, the mechanisms of such responses remain insufficiently clear. The influence of a low level of illumination on the content of endogenous auxins, their localization in leaves and transport from shoots to roots were studied and related to the lateral root branching of barley plants. Following two days’ reduction in illumination, a 10-fold reduction in the emergence of lateral roots was found. Auxin (IAA, indole-3-acetic acid) content decreased by 84% in roots and by 30% in shoots, and immunolocalization revealed lowered IAA levels in phloem cells of leaf sections. The reduced content of IAA found in the plants under low light suggests an inhibition of production of this hormone under these conditions. At the same time, two-fold downregulation of the LAX3 gene expression, facilitating IAA influx into the cells, was detected in the roots, as well as a decline in auxin diffusion from shoots through the phloem by about 60%. It was suggested that the reduced emergence of lateral roots in barley under a low level of illumination was due to a disturbance of auxin transport through the phloem and down-regulation of the genes responsible for auxin transport in plant roots. The results confirm the importance of the long distance transport of auxins for the control of the growth of roots under conditions of low light. Further study of the mechanisms that control the transport of auxins from shoots to roots in other plant species is required.
Strong-coupling expansions for thePT -symmetric oscillators V.x/Da.ix/Cb.ix/ 2 Cc.ix/ 3

We study the traditional problem of convergence of perturbation expansions when the hermiticity of the Hamiltonian is relaxed to a weaker PT symmetry. An elementary and quite exceptional cubic anharmonic oscillator is chosen as an illustrative example of such models. We describe its perturbative features paying particular attention to the strong-coupling regime. Efficient numerical perturbation theory proves suitable for such a purpose.
Quantum Lernmatrix

We introduce a quantum Lernmatrix based on the Monte Carlo Lernmatrix in which n units are stored in the quantum superposition of log2(n) units representing On2log(n)2 binary sparse coded patterns. During the retrieval phase, quantum counting of ones based on Euler’s formula is used for the pattern recovery as proposed by Trugenberger. We demonstrate the quantum Lernmatrix by experiments using qiskit. We indicate why the assumption proposed by Trugenberger, the lower the parameter temperature t; the better the identification of the correct answers; is not correct. Instead, we introduce a tree-like structure that increases the measured value of correct answers. We show that the cost of loading L sparse patterns into quantum states of a quantum Lernmatrix are much lower than storing individually the patterns in superposition. During the active phase, the quantum Lernmatrices are queried and the results are estimated efficiently. The required time is much lower compared with the conventional approach or the of Grover’s algorithm.
Pimavanserin: A Truly Effective Treatment for Parkinson’s Disease Psychosis? A Review of Interventions

Abstract Parkinson’s disease (PD) is the second-most common neurodegenerative disorder with a long-term 60% cumulative prevalence of PD psychosis. Medical treatment is limited to few atypical antipsychotic drugs with low affinity to dopamine D2 receptors. In 2016, pimavanserin, a selective 5-HT2A inverse agonist/antagonist, was approved by the US Food and Drug Administration (FDA) as the only treatment for PD psychosis (PDP). This article provides an overview of the epidemiology, pathophysiology, and treatment options for PDP and illuminates the mode of action and therapy options with pimavanserin and the current study data.
THE EFFECT OF SELF-ESTEEM IN ORGANIZATION AND SELF-AWARENESS ON EMPLOYEE PERFORMANCE WITH ORGANIZATIONAL COMMITMENT AS A MEDIATION VARIABLE IN ASTRA CREDIT COMPANIES MEDAN BRANCH

In facing competition in the global era, finance companies are required to work more efficiently and effectively. An efficient company must be able to run a business with targets that can be achieved according to company goals. Therefore, companies must have human resources or what are called employees, people who are commonly called employees to carry out household activities of the company's production so that the company generates maximum profits. Therefore employees are the most important element to achieve company goals. Employees must also be able to carry out the tasks determined by the company. Employee ability is reflected in performance, good performance is optimal performance. The purpose of this study was to find out how the influence of self-esteem in an organizational context, self-awareness on employee performance with organizational commitment as a mediating variable at Astra Credit Companies (ACC) Medan Branch. This type of research is associative research with a quantitative approach with a sample of 85 respondents. The data analysis technique uses structural equation modeling (SEM) with the Smart PLS version 3.0 analysis tool. The results showed that self-esteem in the organization had a positive and significant effect on employee performance, self-awareness had a positive and significant effect on employee performance, self-esteem in the organization had a positive and significant effect on organizational commitment, self-awareness had a positive and significant effect on organizational commitment, and organizational commitment organization has a positive and significant effect on employee performance. Then the results of the tests conducted show that work organizational commitment is able to mediate the relationship between self-esteem in the organization and employee performance, and organizational commitment is able to mediate the relationship between self-awareness and employee performance.
Inhibitory Effect of Zinc on Colorectal Cancer by Granzyme B Transcriptional Regulation in Cytotoxic T Cells

Zinc is one of the essential trace elements and is involved in various functions in the body. Zinc deficiency is known to cause immune abnormalities, but the mechanism is not fully understood. Therefore, we focused our research on tumor immunity to elucidate the effect of zinc on colorectal cancer and its mechanisms. Mice were treated with azoxymethane (AOM) and dextran sodium sulfate (DSS) to develop colorectal cancer, and the relationship between zinc content in the diet and the number and area of tumors in the colon was observed. The number of tumors in the colon was significantly higher in the no-zinc-added group than in the normal zinc intake group, and about half as many in the high-zinc-intake group as in the normal-zinc-intake group. In T-cell-deficient mice, the number of tumors in the high-zinc-intake group was similar to that in the normal-zinc-intake group, suggesting that the inhibitory effect of zinc was dependent on T cells. Furthermore, we found that the amount of granzyme B transcript released by cytotoxic T cells upon antigen stimulation was significantly increased by the addition of zinc. We also showed that granzyme B transcriptional activation by zinc addition was dependent on calcineurin activity. In this study, we have shown that zinc exerts its tumor-suppressive effect by acting on cytotoxic T cells, the center of cellular immunity, and increases the transcription of granzyme B, one of the key molecules in tumor immunity.
A Handwriting Recognition System With WiFi

Handwriting recognition systems are a convenient and alternative way of writing in the air with fingers rather than typing on keyboards. However, existing recognition systems are limited by their low accuracy and the requirement to wear dedicated devices. To address these issues, we propose WiWrite, an accurate contactless handwriting recognition system that allows users to write in the air without wearing any wearable devices. Specifically, we employ a novel CSI division scheme to process the noisy raw WiFi channel state information (CSI), which stabilizes the CSI phase and reduces noise in CSI amplitude. To automatically retain low noise data for identification in the LOS scenario, we propose a self-paced dense convolutional network (SPDCN), which is a self-paced loss function based on a modified convolutional neural network coupled with a dense convolutional network. Furthermore, to achieve accurate handwriting recognition in the NLOS scenario, we combine ADOA and PCA algorithms to remove location-induced interference and extract action features. Comprehensive experiments show the merits of WiWrite, revealing that the recognition accuracy for the same-size input and different-size input are 93.6% and 89.0%, respectively. Moreover, WiWrite can achieve accurate recognition regardless of environment and target diversity in LOS and NLOS scenarios.
Embedding The Fourth Industrial Revolution (4IR) in South African Municipalities: Challenges and Prospects

In South Africa, the current technology has brought multitudes of changes and transformations to the public sector and service delivery. The current state of technology allows municipalities to carry out their duties using ICT platforms successfully. E-participation, e-services, citizen portals, digital city services and goods, broadband fibre rollouts, CCTV networks, data center infrastructure, and private cloud solutions are just a few of these endeavours. The lack of integration of the smart city plan into the IDP, insufficient internal ability to support and sustain projects, and other issues may prohibit most municipalities from effectively adopting 4IR programs. limited support from a broader range of stakeholders, such as workers, communities, labourers, and businesses Among municipal departments, there is a lack of linked and coordinated thinking and activities. This study aims to assess how well the 4IR has worked to improve municipal service delivery. It is concluded that towns may be able to fully integrate modern technologies with the incorporation of 4IR technology into municipal IDP. In order to do this, a number of strategies are suggested, and a theoretical framework for the phenomena is investigated, with the goal of addressing the issues that prevent the proper application of 4IR technologies in South African Municipalities.
A Rare Case of Meningitis Caused by Streptococcus gallolyticus subsp. pasteurianus in an Immunocompetent Young Adult

Bacterial meningitis is a life-threatening condition that is mainly caused by Streptococcus pneumoniae and Neisseria meningitis. Although Streptococcus gallolyticus subsp. pasteurianus (Sgp) is also known to cause meningitis, its frequency is quite low, especially in adults. We herein report the first immunocompetent Japanese adult patient (20-year-old woman) with bacterial meningitis caused by Sgp. The patient showed dramatic improvement after antibiotic treatment. Although previous reports have described an association between Sgp infection and an immunosuppressive status, bowel and hepatobiliary diseases, or strongyloidiasis, our case did not demonstrate any of these conditions, suggesting that Sgp can cause meningitis even in young immunocompetent adults.
How Company Characteristics Influence Measurement Practices and Disclosure Level Prescribed within IAS 41

This research paper describes the accounting practices of Jordanian companies engaged in agricultural activities, and identifies the influence of company characteristics on measurement practices related to asset pricing and level of disclosure required by IAS 41. Company characteristics were considered as: size, intensity of biological assets (BA), level of international activities, and audit for the Big Four. Dependent variables were considered measurement practices related to valuing BA as well as resultant harvest and disclosure level, the latter being measured by mandatory and voluntary disclosures. The entire population of companies that include one or more agricultural activities in their purposes and are considered reporting companies formed the research sample, giving a total of 259 companies. The findings revealed that both intensity of BA and level of international activities have a positive impact on measurement practices. Audit for the Big Four was the strongest variable influence, the overall disclosure level prescribed by IAS 41, followed by the level of international activities variable. However, the intensity of the BA variable affects only the overall disclosure level for companies that measure their BA based on the cost method. Firm size was found to have no influence on either measurement practices or disclosure level. The key value of this paper is its examination of the role of company characteristics on measurement practices and level of disclosure required by IAS 41 in the context of Jordanian companies. Through this examination, this study is helpful to standards setters and regulators who obligate and issue the financial regulation and reporting standards at a national or international level, supporting their understanding of measurement and disclosure practices adopted in agricultural companies in the developing country context of Jordan.