Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Iron Loss Prediction Models for Interior PMSMs Considering Coupling Effects of Multiphysics Factors

This article presents improved iron loss analytical prediction models for interior permanent magnet synchronous motors (IPMSMs) used in electric vehicles. The effects of slotting harmonics, pulsewidth modulation (PWM) carrier harmonics, temperature rise, and mechanical stress are considered in the proposed models. Specifically, by investigating the stator flux density as piecewise linear with trapezoidal waveform, the iron losses in the teeth and yoke regions are calculated separately, considering the different magnetic field distributions and waveforms. To deliberate the PWM harmonic influence, a correction coefficient is added to the hysteresis loss models, while the eddy current loss models are updated by summing all the eddy current losses caused by the power supplying current harmonics. Moreover, the coupling interaction effects of magnetic, thermal, and stress fields on the empirical coefficients of hysteresis and eddy current losses are analyzed in detail and also implemented in the iron loss prediction process. The feasibility and superiority of the proposed models are verified by numerical and experimental case studies on an IPMSM prototype.
Inverse Design of Silicon Photonic Modulators

A novel shape optimization procedure is formulated for obtaining a higher phase change while maintaining high transmission in phase modulators. The formulation is implemented as a shape optimization tool. Subwavelength grating-based Si carrier depletion and carrier injection modulators are considered for testing the optimizer. Carrier transport simulations were performed to extract the carrier concentration profiles and were used in the optimizer. The optimized structures are then validated using simulation for transmission and phase change. The results show that the optimization tool developed can optimize both carrier injection and depletion type modulators, in terms of both transmission and phase modulation. The optimized structures can be placed in a ring or Mach-Zehnder modulator to make compact modulators with low drive voltages.
The PSL MAC Protocol for Accumulated Data Processing in the Energy-Harvesting Wireless Sensor Network

In the energy-harvesting wireless sensor network (EH-WSN), the actual energy-harvesting rate of each node varies due to the difference in node deployment or a sudden change in the environment. Therefore, when a node with a low energy-harvesting rate is used as a relay node, its energy is depleted at an accelerated rate. This reduces connectivity and network life, thus causing data accumulation on the node and the neighboring nodes. This study proposes a medium access control (MAC) protocol to avoid data accumulation in nodes; the proposed algorithm comprises the following: (1) a data transmission mechanism based on probability control for high channel utilization and (2) an accumulation data processing mechanism (power control, same layer transmission, and “layer-down” processing, PSL) to circumvent data accumulation. The simulation results show that PSL improves the network throughput and reduces the packet loss rate, while effectively solving the data accumulation problem.
Field Weakening Design for a High Speed Nine-phase Permanent Magnet Synchronous Machine in More Electric Aircraft

High speed multi-phase permanent magnet synchronous machine (PMSM) offers increased power density and fault-tolerant ability, which qualifies it a promising solution for the ever-increasing power and reliability demands of more electric aircraft (MEA). Pushed by the high-speed design, high performance field weakening control of the machine necessarily demanded. Under the concept of field oriented control (FOC), field weakening methods can be designed considering different priority between d and q axis control. This paper aims comparing those differences and proposing the suitable solution for the high speed PMSM drive in MEA. The equivalent circuit of the field weakening loop is derived, which demonstrates the tuning of the field weakening controller in terms of stability and performance without considering the anti-windup and saturations. Recommendations on the design of anti-windup and saturations considering d and q-axis prioritizations are provided.
miR-3156-5p is downregulated in serum of MEN1 patients and regulates expression of MORF4L2

Multiple endocrine neoplasia type 1 (MEN1), caused by mutations in the MEN1 gene encoding menin, is an autosomal dominant disorder characterised by the combined occurrence of parathyroid, pituitary and pancreatic neuroendocrine tumours (NETs). Development of these tumours is associated with wide variations in their severity, order and ages (from <5 to >80 years), requiring life-long screening. To improve tumour surveillance and quality of life, better circulating biomarkers, particularly for pancreatic NETs that are associated with higher mortality, are required. We, therefore, examined the expression of circulating miRNA in the serum of MEN1 patients. Initial profiling analysis followed by qRT-PCR validation studies identified miR-3156-5p to be significantly downregulated (−1.3 to 5.8-fold, P < 0.05–0.0005) in nine MEN1 patients, compared to matched unaffected relatives. MEN1 knock-down experiments in BON-1 human pancreatic NET cells resulted in reduced MEN1 (49%, P < 0.05), menin (54%, P < 0.05) and miR-3156-5p expression (20%, P < 0.005), compared to control-treated cells, suggesting that miR-3156-5p downregulation is a consequence of loss of MEN1 expression. In silico analysis identified mortality factor 4-like 2 (MOR4FL2) as a potential target of miR-3156-5p, and in vitro functional studies in BON-1 cells transfected with either miR-3156-5p mimic or inhibitors showed that the miR-3156-5p mimic significantly reduced MORF4L2 protein expression (46%, P < 0.005), while miR-3156-5p inhibitor significantly increased MORF4L2 expression (1.5-fold, P < 0.05), compared to control-treated cells, thereby confirming that miR-3156-5p regulates MORF4L2 expression. Thus, the inverse relationship between miR-3156-5p and MORF4L2 expression represents a potential serum biomarker that could facilitate the detection of NET occurrence in MEN1 patients.
Hafnium Oxide Nanostructured Thin Films: Electrophoretic Deposition Process and DUV Photolithography Patterning

In the frame of the nanoarchitectonic concept, the objective of this study was to develop simple and easy methods to ensure the preparation of polymorphic HfO2 thin film materials (<200 nm) having the best balance of patterning potential, reproducibility and stability to be used in optical, sensing or electronic fields. The nanostructured HfO2 thin films with micropatterns or continuous morphologies were synthesized by two different methods, i.e., the micropatterning of sol-gel solutions by deep ultraviolet (DUV) photolithography or the electrophoretic deposition (EPD) of HfO2 nanoparticles (HfO2-NPs). Amorphous and monoclinic HfO2 micropatterned nanostructured thin films (HfO2-DUV) were prepared by using a sol-gel solution precursor (HfO2-SG) and spin-coating process following by DUV photolithography, whereas continuous and dense monoclinic HfO2 nanostructured thin films (HfO2-EPD) were prepared by the direct EPD of HfO2-NPs. The HfO2-NPs were prepared by a hydrothermal route and studied through the changing aging temperature, pH and reaction time parameters to produce nanocrystalline particles. Subsequently, based on the colloidal stability study, suspensions of the monoclinic HfO2-NPs with morphologies near spherical, spindle- and rice-like shapes were used to prepare HfO2-EPD thin films on conductive indium-tin oxide-coated glass substrates. Morphology, composition and crystallinity of the HfO2-NPs and thin films were investigated by powder and grazing incidence X-ray diffraction, scanning electron microscopy, transmission electron microscopy and UV-visible spectrophotometry. The EPD and DUV photolithography performances were explored and, in this study, it was clearly demonstrated that these two complementary methods are suitable, simple and effective processes to prepare controllable and tunable HfO2 nanostructures as with homogeneous, dense or micropatterned structures.
Research and Development of Battery Packs and their Balancing Methods for Personal Mobility Vehicles

The Thesis is devoted to research and development of lithium-ion battery packs and their cell balancing methods for personal mobility vehicles. Research literature on commercial electric vehicles and both battery managements systems and battery cell balancing has been analyzed. Multiple batteries and management systems have been developed for an electric kart and a power-assist wheelchair. A novel two-layer balancing system, which combines two different methods, has been developed and experimentally verified.
An Empirical Study on the Effect of M&A Payment Methods of US Companies

In M&A activities, the effects of different payment methods vary. This paper analyses the abnormal income of the target company in the M&A window and concludes that the M&A event would indeed bring evident income via the event research method. Because of tax differences and information asymmetry, payment methods and responses to the event are also distinct.
BcTFIIIA Negatively Regulates Turnip Mosaic Virus Infection through Interaction with Viral CP and VPg Proteins in Pak Choi (Brassica campestris ssp. chinensis)

TFIIIA is a zinc-finger transcription factor that is involved in post-transcriptional regulation during development. Here, the BcTFIIIA gene was isolated from pak choi. Sequence analysis showed that BcTFIIIA encodes 383 amino acids (aa) with an open reading frame (ORF) of 1152 base pairs (bp). We investigated the subcellular location of BcTFIIIA and found the localized protein in the nucleus. BcTFIIIA was suppressed when the pak choi was infected by the turnip mosaic virus (TuMV). The BcTFIIIA mRNA expression level in a resistant variety was higher than that in a sensitive variety, as determined by qRT-PCR analysis. Yeast two hybrid (Y2H) assay and bimolecular fluorescence complementation (BiFC) suggested that BcTFIIIA interacts with TuMV CP and VPg in vivo, respectively, and in vitro. A virus-induced gene silencing (VIGS) experiment showed that the silencing of BcTFIIIA gene expression in pak choi promoted the accumulation of TuMV. These results suggest that BcTFIIIA negatively regulates viral infection through the interaction with TuMV CP and VPg.
Relationships between Animal Welfare Scores and Milk Somatic Cell Count in Anatolian Buffaloes

The objective of the present study was to determine the relationships between animal welfare score (AWS) and milk somatic cell count (SCC) in Anatolian buffaloes. The study carried out on 39 buffalo farms of Bafra district of Samsun province of Turkey between January and March 2020. To obtain AWS data, a scale with 1 to 100 points (1-25: poor, 26-50: moderate, 51-75: suitable and ≥76: excellent) was used. Locomotion ability (LA), social interaction (SI), flooring (F), indoor conditions (IC) and effect of stockman (S) were used to be AWS parameters. Milk samples were analyzed by SCC using a portable cell counter. The SCC values were transferred to log10 base before the analyses. To assess the effects of AWS on logSCC, independent sample t-test was performed. The relations of all parameters with each other were calculated by Kendall rank correlation method and the statistical analyses were carried out by SPSS 17.0. The highest and the lowest means were obtained from SI (79.66±1.28) and F (61.79±2.51), respectively. While the highest correlation was estimated between IC and AWS (r=0.724), all AWS parameters had approximately moderate relations with AWS. Positive or negative, but insignificant correlation coefficients were estimated between any traits and logSCC. The means of SCC (136841±15522 cells/ml) and AWS (68.70±1.67) of the present study were found within the suitable thresholds. Routinely keeping the records on AWS and its components, and adding AWS data to the herd management programs was suggested to the buffalo farm owners.
Design Considerations for a Modular 2-Stage LCLC Filter for Three Phase AC-DC Interleaved Converters

This paper presents the analysis and realization of a modular and scalable three phase CM-EMI filter that can be stacked as a standalone package under a single and multi-channel (parallel three phase converter blocks) configuration without significant loss of attenuation. A conventional two stage LCLC filter is selected for design and evaluation. Specifically, the impact of interleaving and PCC connection on component selection and CM filter volume is studied. The optimal switching frequency selection is based on achieving a balance between peak CM circulation and meeting CM conducted emissions compliance (as per EN-55011). Consequently, other aspects such as impact of asymmetry between channels, filter parasitic components and core material selection on emissions are examined. Experimental results are provided using SiC based 3L-NPC converters with up to three channels working under interleaved PWM scheme.
Physically Inspired Neural Network for Modeling Induction Machine Nonlinear Magnetic Saturation

In the automotive area highly utilized electric traction machines are used to achieve the maximum efficiency with minimum space and weight. Their special technical design results in a strongly nonlinear inductive behavior. Detailed information on the inductive parameters and therefore the saturation behavior are important to gain highly efficient control of induction machines. Usually, these information are determined by complex standardized identification methods or specified commissioning runs. In this paper, a feed-forward multi-layer-perceptron is proposed to learn the steady state saturation behavior of an induction machine. For this purpose, characteristic equations are used to develop a physically inspired neural network. The training is proceeded offline based on standard testbench data sets of automotive induction machines. The model is optimized for implementation on embedded systems for real-time application with limited calculation capacity. Special consideration is given to the trade-off between accuracy and computational effort. To address this issue different configurations are implemented, varying the networks depth and the activation functions. The performances of the models are compared and discussed to show that no additional parameter acquisition is needed for the proposed approach.
SAX and Random Projection Algorithms for the Motif Discovery of Orbital Asteroid Resonance Using Big Data Platforms

The phenomenon of big data has occurred in many fields of knowledge, one of which is astronomy. One example of a large dataset in astronomy is that of numerically integrated time series asteroid orbital elements from a time span of millions to billions of years. For example, the mean motion resonance (MMR) data of an asteroid are used to find out the duration that the asteroid was in a resonance state with a particular planet. For this reason, this research designs a computational model to obtain the mean motion resonance quickly and effectively by modifying and implementing the Symbolic Aggregate Approximation (SAX) algorithm and the motif discovery random projection algorithm on big data platforms (i.e., Apache Hadoop and Apache Spark). There are five following steps on the model: (i) saving data into the Hadoop Distributed File System (HDFS); (ii) importing files to the Resilient Distributed Datasets (RDD); (iii) preprocessing the data; (iv) calculating the motif discovery by executing the User-Defined Function (UDF) program; and (v) gathering the results from the UDF to the HDFS and the . csv file. The results indicated a very significant reduction in computational time between the use of the standalone method and the use of the big data platform. The proposed computational model obtained an average accuracy of 83%, compared with the SwiftVis software.
Performance of Microchannel Heat Sink Made of Silicon Material with the Two-Sided Wedge

New designs of the microchannel with a two-sided wedge shape at the base were studied numerically. Five different wedge angles ranging from 3° to 15° were incorporated into the microchannel design. Simulation of this novel microchannel was carried out using Computational Fluid Dynamics (CFD). Three-dimensional models of the microchannel heat sink were created, discretized, and based on Navier–Stokes and energy equations; laminar numerical solutions were obtained for heat transfer and pressure drop. Flow characteristics of water as coolant in a microchannel were studied. It was observed that numerical results are in good agreement with experimental results. It was found that the Nusselt number and friction factor are significantly varied with the increase in Reynolds number. The Nusselt number varies in the following ranges of 5.963–8.521, 5.986–8.550, 6.009–8.568, 6.040–8.609, and 6.078–8.644 at 3°, 6°, 9°, 12°, and 15°, respectively. The microchannel with a wedge angle of 15° was found to be better in terms of Nusselt number and thermo-hydraulic performance. The enhancement in the Nusselt number is found as 1.017–1.036 for a wedge angle of 15°; however, friction factors do not show the perceptible values at distinct values of wedge angle. Moreover, the thermo-hydraulic performance parameters (THPP) were evaluated and found to be maximum in the range of 1.027–1.045 for a wedge angle of 15°. However, minimum THPP was found in the range of 1.005–1.0185 for a wedge angle of 3°.
Composite Grounding Application of Transmission Line Tower with Flexible Graphite Grounding Material

To solve the metal corrosion problem of transmission line tower grounding grid, a composite grounding material technique based on flexible graphite grounding is proposed. Using CDEGS software, the power frequency grounding resistances with different soils layers and different ground network size of tower are simulated. The researches show that layered soil resistance can be reduced by laying vertical grounding body and uniform soil can reduce ground resistance by increasing grounding network size.
The Modern Biased Information Test: Proposing alternatives for implicit measures

The present article describes the development of a Modern Biased Information Test (MBIT) inspired by the work published by Donald Campbell in 1950 on indirect measures of prejudice. A biased information test aims to tap individuals' intergroup attitudes from the selective information they use to describe group members. Two biased information tests were developed to measure ethnocentric and androcentric biases, respectively, and applied in four convenience samples of students from two different cultural settings (Costa Rica and the USA). The internal consistency for the accuracy indicators derived from both tests was acceptable and comparable across cultures. In contrast, the internal consistency for ethnocentric biases was adequate across samples and cultures, but the internal consistency for androcentric biases was unacceptable across both cultures. Results are discussed in the line of the usefulness of alternative measures for tapping implicit attitudes.
STATE-OF-THE-ART IN UAV REMOTE SENSING SURVEY – FIRST INSIGHTS INTO APPLICATIONS OF UAV SENSING SYSTEMS

Abstract. UAVs are increasingly adapted as remote sensing platforms. Together with specialized sensors, they become powerful sensing systems for environmental monitoring and surveying. Spectral data has great capabilities to the gather information about biophysical and biochemical properties. Still, capturing meaningful spectral data in a reproducible way is not trivial. Since a couple of years small and lightweight spectral sensors, which can be carried on small flexible platforms, have become available. With their adaption in the community, the responsibility to ensure the quality of the data is increasingly shifted from specialized companies and agencies to individual researchers or research teams. Due to the complexity of the data acquisition of spectral data, this poses a challenge for the community and standardized protocols, metadata and best practice procedures are needed to make data intercomparable. In November 2016, the ESSEM COST action Innovative optical Tools for proximal sensing of ecophysiological processes (OPTIMISE; http://optimise.dcs.aber.ac.uk/ ) held a workshop on best practices for UAV spectral sampling. The objective of this meeting was to trace the way from particle to pixel and identify influences on the data quality / reliability, to figure out how well we are currently doing with spectral sampling from UAVs and how we can improve. Additionally, a survey was designed to be distributed within the community to get an overview over the current practices and raise awareness for the topic. This talk will introduce the approach of the OPTIMISE community towards best practises in UAV spectral sampling and present first results of the survey ( http://optimise.dcs.aber.ac.uk/uav-survey/ ). This contribution briefly introduces the survey and gives some insights into the first results given by the interviewees.
The Impact of a 1,2,3-Triazole Motif on the Photophysical Behavior of Non-K Tetrasubstituted Pyrene with a Substitution Pattern Providing the Long Axial Symmetry

1,3,6,8-Tetrasubstituted pyrene derivatives with two types of substituents (4-(2,2-dimethylpropyloxy)pyridine, 1-decyl-1,2,3-triazole, 1-benzyl-1,2,3-triazole, and pyrazole), substituted in such a way that provides the long axial symmetry, are prepared and characterized in the present study. To the best of our knowledge, the pyrene derivative containing the same heteroaryl motif (triazole) but substituted by two various alkyls, straight decyl and benzyl-based side chains (C), is reported for the first time. For comparison, compounds with one kind of triazole motif and substituted pyridine or pyrazole groups were prepared (A and B). The photophysical properties of all molecules were evaluated by thermogravimetric analysis (TGA) and UV-Vis spectroscopy (absorption and emission spectra, quantum yields, and fluorescence lifetimes). The obtained results were compared to analogues substituted at the 1,3,6,8 positions by one kind of substituent and also with all the 1,3,6,8-tetrasubstituted pyrenes reported in the literature substituted by two kinds of substituents with a substitution pattern that provides long axial symmetry. In addition, theoretical studies based on DFT and TD-DFT were performed that supported the interpretation of the experimental results. The photophysical properties of tetrasubstituted pyrene derivatives having triazole units at the 1,8-positions, respectively, and other identical substituents at the 3,6 positions show the dominance of triazole units in the pyrene framework; the dominance is even higher in the case of the substitution of 1,3,6,8 positions by triazoles, but containing two various alkyls.
Review of DC Offset Compensation Techniques for Grid Connected Inverters

Limitations of DC injection into the AC network is an important operational requirement for grid connected photovoltaic systems. There is one way to ensure that this issue needs a power transformer as a connection to the AC network. However, this solution adds cost, volume, mass, and power losses. Ideally there shouldn't be any DC at the output of the inverter, but practically, a small amount of DC current is present. Therefore, in this paper there are techniques for the DC offset elimination are proposed. Some have drawbacks which was treated by another technique. Also there are best solutions for eliminating DC offset as in section 17, and 18 as it explains how to reduce the DC offset in a transformerless operation with reducing the power losses, mass and the cost effect.