Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of power system controls on damping wind induced inter-area oscillations

This paper assesses the performances of standard power system controllers in damping inter-area oscillations induced by wind power. System basic controllers considered are: Power System Stabilizer (PSS), Static Var Compensator (SVC) with Power Oscillation Damper (POD), High Voltage AC/DC (HVDC) transmission. Combined two controls are considered: PSS-HVDC, PSS-SVC POD. Wind turbines are based on: squirrel cage induction generator (SCIG), Doubly Fed Induction Generator (DFIG) and Direct Drive Synchronous Generator (DDSG). The study is applied on a four-machine two-areas power system integrating wind turbines of different technologies. Damping ratios are computed by the linear modal analysis technique. The wind induced inter-area frequency and its damping depend both on the turbine technology and the existing controls. The results demonstrate that power system stabilizer (PSS) helped increase inter-area oscillations damping better than SVC-POD and AC/DC link. A coordinated tuning of the combined two-controllers strategy must be performed to achieve optimum damping. RÉSUMÉ : Cet article évalue les performances des régulateurs standards du réseau électrique dans l'amortissement des oscillations interzones induites par l'intégration éolienne. Les régulateurs étudiés sont : les stabilisateurs de réseau (PSS), compensateurs statiques (SVC) menus d’amortisseurs d’oscillation de puissance (POD), lignes à courant continu haute tension AC/DC (HVDC). Deux types de contrôles sont combinés : PSS-HVDC, et PSS-SVC POD. Les aérogénérateurs sont de technologies : générateur à induction à cage d'écureuil (SCIG), générateur à induction à double alimentation (DFIG), et générateur synchrone à entraînement direct (DDSG). L’étude est appliquée à un réseau à deux zones, comportant quatre générateurs et intégrant des éoliennes de différentes technologies. Les taux d’amortissement sont déterminés par une analyse modale. Les modes interzones induite par le vent et leurs amortissements dépendent à la fois de la technologie de la turbine et des commandes déployées. Les résultats montrent que le stabilisateur de réseau (PSS) a permis d’améliorer l’amortissement des oscillations interzones mieux que le control par SVC-POD et les liaisons AC/DC. Un réglage coordonné de la stratégie à deux régulateurs doit être déployés pour atteindre un amortissement optimal.
Design of miniaturised‐element FSS based on 2.5‐dimensional closed‐loop Hilbert fractal

A novel miniaturised frequency selective surface (FSS) unit cell is proposed based on the Hilbert fractal and 2.5-dimensional (2.5-D) metallic loop. For the increase of current path, both sides of substrate are used which are connected together by four vias. The dimension of FSS unit cell is obtained as 0.041λ 0 × 0.041 λ 0 at the frequency of 2.47 GHz. The transmission coefficient is insensitive and independent of angle and polarisation of incident wave. A prototype model of the proposed FSS is fabricated and measured for the proof of concept. It is shown that it achieves better miniaturisation relative to the FSS reported in the literature.
Connectivity of Matroids and Polymatroids

This dissertation is a collection of work on matroid and polymatroid connectivity. Connectivity is a useful property of matroids that allows a matroid to be decomposed naturally into its connected components, which are like blocks in a graph. The CunninghamEdmonds tree decomposition further gives a way to decompose matroids into 3-connected minors. Much of the research below concerns alternate senses in which matroids and polymatroids can be connected. After a brief introduction to matroid theory in Chapter 1, the main results of this dissertation are given in Chapters 2 and 3. Tutte proved that, for an element e of a 2connected matroid M , either the deletion or the contraction of e for M is 2-connected. In Chapter 2, a new notion of matroid connectivity is defined and it is shown that this new notion only enjoys the above inductive property when it agrees with the usual notion of 2-connectivity. Another result is proved to reinforce the special importance of this usual notion. In Chapter 3, a result of Brylawski and Seymour is considered. That result extends Tutte’s theorem by showing that if the element e is chosen to avoid a 2-connected minor N of M , then the deletion or contraction of e form M is not only 2-connected but maintains N as a minor. The main result of Chapter 3 proves an analogue of this result for 2-polymatroids, a natural extension of matroids. Chapter 4 describes a class of binary matroids that generalizes cubic graphs. Specifically, attention is focused on binary matroids having a cocircuit basis where every cocircuit in the basis, as well as the symmetric difference of all these cocircuits, has precisely three elements.
The roles of the Quasi-Biennial Oscillation and El Niño for entry stratospheric water vapor in observations and coupled chemistry–ocean CCMI and CMIP6 models

Abstract. The relative importance of two processes that help control the concentrations of stratospheric water vapor, the Quasi-Biennial Oscillation (QBO) and El Niño–Southern Oscillation (ENSO), are evaluated in observations and in comprehensive coupled ocean–atmosphere-chemistry models. The possibility of nonlinear interactions between these two is evaluated both using multiple linear regression (MLR) and three additional advanced machine learning techniques. The QBO is found to be more important than ENSO; however nonlinear interactions are nonnegligible, and even when ENSO, the QBO, and potential nonlinearities are included, the fraction of entry water vapor variability explained is still substantially less than what is accounted for by cold-point temperatures. While the advanced machine learning techniques perform better than an MLR in which nonlinearities are suppressed, adding nonlinear predictors to the MLR mostly closes the gap in performance with the advanced machine learning techniques. Comprehensive models suffer from too weak a connection between entry water and the QBO; however a notable improvement is found relative to previous generations of comprehensive models. Models with a stronger QBO in the lower stratosphere systematically simulate a more realistic connection with entry water.
An adaptive method based on fractional empirical wavelet transform and its application in rotating machinery fault diagnosis

Compared with the stable running condition, the vibration signals of rotating machinery during the startup or run-down stage have more abundant information, and these are more sensitive to weak changes in the machine operating state. Therefore, it is of great importance to accurately and efficiently extract state feature information of rotor startup vibration signals. However, non-stationary cases such as amplitude modulation, frequency modulation and a strong background noise do exist in a rotor system with variable speeds, which makes the extraction of feature information more difficult. As a novel analysis method, empirical wavelet transform (EWT) can automatically extract empirical modes of non-stationary signals. Nevertheless, rotor startup vibration signals can be seen as multi-component linear frequency modulation (LFM) signals whose components overlap with each other in the Fourier spectrum, which makes the EWT analysis method no longer valid. Therefore, a new analysis method named ‘fractional empirical wavelet transform (FrEWT)’ is proposed in this paper, which effectively combines the advantages of fractional Fourier transform (FrFT) and EWT. On the one hand, FrFT is very suitable for analyzing LFM signals, which provides each LFM component of the rotor startup vibration signal with compact support and enables the components to be separated from each other in an appropriate fractional Fourier domain. On the other hand, based on the analysis of the EWT, a wavelet filter bank in the fractional Fourier domain is constructed adaptively to extract the fault feature components of rotor startup vibration signals. Finally, the effectiveness of the proposed method is verified by both simulated and experimental data. The analysis results prove that the proposed method demonstrates excellent performance.
Centrifugal Microfluidic Platform for Solid-Phase-Extraction (SPE) and Fluorescence Detection Applications

ix CHAPTER
Origin recognition complex 1 regulates phospholipase Cδ1 to inhibit cell proliferation, migration and epithelial-mesenchymal transition in lung adenocarcinoma

As a common pulmonary malignant disease, lung adenocarcinoma exhibits high mortality and morbidity rate. Phospholipase Cδ1 (PLCD1), an enzyme involved in the homeostasis of energy metabolism, is downregulated in lung adenocarcinoma. According to GEPIA, origin recognition complex 1 (ORC1) is a highly expressed gene in lung adenocarcinoma and is negatively associated with PLCD1. To the best of our knowledge, the present study was the first to investigate the role of ORC1 in regulating PLCD1 in lung adenocarcinoma. According to TCGA database, low expression of PLCD1 was correlated with the low overall survival rate of patients suffering from lung adenocarcinoma. The protein and mRNA expression levels of PLCD1 and ORC1 were detected in A549 cells by western blot analysis and reverse transcription-quantitative PCR, respectively. Cell proliferation, invasion and migration were analyzed by MTT, colony formation, Transwell and wound healing assay. Immunofluorescence staining was adopted to estimate the content of Ki67 and western blot was applied for the evaluation of PLCD1, MMP2, MMP9, E-cadherin, N-cadherin, vimentin, Snail and ORC. The binding interaction between ORC1 and PLCD1 was analyzed using chromatin immunoprecipitation and luciferase reporter enzyme gene assays. The results indicated that PLCD1 was lowly expressed in lung adenocarcinoma cells in comparison with that in 16HBE. When PLCD1 was overexpressed in cancer cells, cell proliferation, invasion and migration were significantly inhibited. However, in the presence of both ORC1 and PLCD1 overexpression, the suppressive effects of PLCD1 overexpression alone on cell proliferation, invasion, migration and EMT were attenuated. In conclusion, ORC1 was indicated to inhibit PLCD1, thus regulating the proliferation, migration and EMT processes of lung adenocarcinoma cells, which suggested that ORC1 might be a target for the treatment of lung adenocarcinoma.
The restricted possible worlds of depression: A stylistic analysis of Janice Galloway’s The Trick is to Keep Breathing using a possible worlds framework

This article uses a theoretical framework of possible worlds to explore the ways in which Janice Galloway’s novel about grief and depression, The Trick is to Keep Breathing, may elicit emotional responses in readers. I give an overview of some of the emotional responses expressed by readers by using online review data, before employing stylistic analysis to demonstrate how emotional effects may be created through the linguistic construction of degrees of possibility. Drawing on Possible Worlds Theory, I demonstrate how readers’ emotional responses may be linked both to the presentation of possibility and to the restriction of possibility. The combination of the empirical methodology utilised here alongside stylistic analysis allows me to harness the capacity of Possible Worlds Theory to cast light on constructions of textual possibility and actuality and to facilitate understanding of some of the mechanisms eliciting readers’ emotions.
State of the Science for Kidney Disorders in Phelan-McDermid Syndrome: UPK3A, FBLN1, WNT7B, and CELSR1 as Candidate Genes

Phelan-McDermid syndrome (PMS) is a neurodevelopmental disorder caused by chromosomal rearrangements affecting the 22q13.3 region or by SHANK3 pathogenic variants. The scientific literature suggests that up to 40% of individuals with PMS have kidney disorders, yet little research has been conducted on the renal system to assess candidate genes attributed to these disorders. Therefore, we first conducted a systematic review of the literature to identify kidney disorders in PMS and then pooled the data to create a cohort of individuals to identify candidate genes for renal disorders in PMS. We found 7 types of renal disorders reported: renal cysts, renal hypoplasia or agenesis, hydronephrosis, vesicoureteral reflux, kidney dysplasia, horseshoe kidneys, and pyelectasis. Association analysis from the pooled data from 152 individuals with PMS across 22 articles identified three genomic regions spanning chromosomal bands 22q13.31, 22q13.32, and 22q13.33, significantly associated with kidney disorders. We propose UPK3A, FBLN1, WNT7B, and CELSR1, located from 4.5 Mb to 5.5 Mb from the telomere, as candidate genes. Our findings support the hypothesis that genes included in this region may play a role in the pathogenesis of kidney disorders in PMS.
Fixed-Time Control for a Quadrotor With a Cable-Suspended Load

This paper is concerned with the motion control for a quadrotor with a cable-suspended load (QCSL). A fixed-time control strategy is presented to improve the transient response and robustness of the QCSL with external disturbance. The overall control scheme is designed with a cascade structure to better cope with the underactuated property of the QCSL and the indirect effect of the control force on the load’s velocity through the tensile force on the cable. The simulation results are given to demonstrate the performance of the proposed scheme. Furthermore, actual flight tests were performed on a new experimental QCSL to validate the effectiveness of the proposed control strategy.
Dietary Drivers and Challenges of Australian Breast Cancer Survivors: A Qualitative Study

Purpose: Cancer survivors often make long-term dietary changes, and nutrition is important for survivorship outcomes. Many survivors experience persisting cognitive difficulties, which can impact health behaviors. This study aimed to identify perceived drivers of eating habit changes, and the barriers to making intentional dietary changes, among breast cancer survivors with persisting self-reported cancer-related cognitive impairment. Materials and Methods: A qualitative framework explored survivors' perceptions of dietary habit changes. Thirteen Australian breast cancer survivors (M.time since diagnosis: 23.6 months, standard deviation [SD] 15.3; M.time since completing primary treatment: 14.7 months, SD 15.3) completed semistructured interviews. Questions related to dietary changes since diagnosis and treatment. Major themes were identified from interview transcripts using thematic analysis. Results: While most individuals perceived their diet to be broadly similar to prediagnosis, several changes to diet and eating habits were identified, which were often meaningful to these survivors. Themes relating to survivors' eating habit changes included the following: (1) meal timing and frequency shifts, (2) more plant-based eating, and (3) less variety and more convenience. Changes in eating habits were attributed to the following: (1) persisting treatment-related changes, (2) help and support from others, (3) old treatment habits, (4) preventative health and self-care, and (5) changes to work schedule. Barriers to making intentional dietary changes included the following: (1) too much time and effort, (2) food cravings and enjoyment, and (3) lacking dietary ideas and resources. Conclusions: Many survivors reported long-term changes in dietary habits, some of which align with current recommendations. Causes of dietary habit changes, and barriers to engaging in healthier dietary habits, involved multiple biopsychosocial elements. Additional resources or strategies that assist navigating survivorship challenges and their effects on dietary habits are needed. Future studies should explore whether post-treatment nutritional review with a qualified dietary health professional is helpful for survivors who experience long-term cancer-related cognitive impairment.
Benchmarking Invasive Alien Species Image Recognition Models for a Citizen Science Based Spatial Distribution Monitoring

Abstract. Recent developments in image recognition technology including artificial intelligence and machine learning led to an intensified research in computer vision models. This progress also allows advances for the collection of spatio-temporal data on Invasive Alien Species (IAS), in order to understand their geographical distribution and impact on the biodiversity loss. Citizen Science (CS) approaches already show successful solutions how the public can be involved in collecting spatio-temporal data on IAS, e.g. by using mobile applications for monitoring. Our work analyzes recently developed image-based species recognition models suitable for the monitoring of IAS in CS applications. We demonstrate how computer vision models can be benchmarked for such a use case and how their accuracy can be evaluated by testing them with IAS of European Union concern. We found out that available models have different strengths. Depending on which criteria (e.g. high species coverage, costs, maintenance, high accuracies) are considered as most important, it needs to be decided individually which model fits best. Using only one model alone may not necessarily be the best solution, thus combining multiple models or developing a new custom model can be desirable. Generally, cooperation with the model providers can be advantageous.
C iv LINE-WIDTH ANOMALIES: THE PERILS OF LOW SIGNAL-TO-NOISE SPECTRA

Comparison of six high-redshift quasar spectra obtained with the Large Binocular Telescope with previous observations from the Sloan Digital Sky Survey shows that failure to correctly identify absorption and other problems with accurate characterization of the C iv λ1549 emission line profile in low signal-to-noise (S/N) data can severely limit the reliability of single-epoch mass estimates based on the C iv emission line. We combine the analysis of these new high-quality data with a reanalysis of three other samples based on high-S/N spectra of the C iv emission line region. We find that a large scatter between the Hβ- and C iv-based masses remains even for this high-S/N sample when using the FWHM to characterize the broad-line region velocity dispersion and the standard virial assumption to calculate the mass. However, we demonstrate that using high-quality data and the line dispersion to characterize the C iv line width leads to a high level of consistency between C iv- and Hβ-based masses, with <0.3 dex of observed scatter and an estimated ∼0.2 dex intrinsic scatter, in the mass residuals.
Motherhood and Treatment Outcome in Female Patients with Compulsive Buying–Shopping Disorder

Motherhood has been proposed as an internal facilitating factor for the recovery of women with mental disorders. However, at the same time, there are significant barriers that may be interfering with the access and adherence to treatment for these women. The present longitudinal study aimed to deepen the sociodemographic and clinical profile of women with children and compulsive buying–shopping disorder (CBSD), and to explore the association between motherhood and response to treatment. The total sample included 77 women with a diagnosis of CBSD (n = 49 mothers) who received cognitive behavioral therapy (CBT) for 12 weeks. No association between psychopathology and motherhood was observed. The group of mothers reported an older age of onset of the CBSD, a lower amount of money spent per compulsive-buying episode, and a higher likelihood of family support for the CBSD. Moreover, this group showed lower risk of relapse. The findings support the theoretical proposal that considers motherhood as an internal facilitating factor for recovery and treatment adherence of mothers with addictions.
Improving Synchronous Dataflow Analysis Supported by Petri Net Mappings

Whereas most of the work that analyses Synchronous Dataflow (SDF) stays in the dataflow framework, this work pushes its analysis into another framework level, thereby addressing issues that are not well addressed or are even unexplored in SDF. In this manner, the paper proposes a model-driven engineering (MDE) method, combining Synchronous Dataflow (SDF) and Petri nets, to highlight and reinforce their interoperability in digital signal processing applications, cyber-physical systems, or industrial applications. Improvements regarding the settlement and exploitation of the initial conditions associated with SDF are demonstrated; this issue is crucial for every cyber-physical system, since a system’s initial conditions are crucial to ensuring the system’s liveness. The improvements outlined in this work exploit an innovating mapping in the Place/Transition (P/T) Petri net domain that is intended to reduce and predict the total amount of initial data in SDF channels. The relevance of the firing semantics engaged with the equivalent Petri net model is discussed. This paper proposes a new approach to estimate whether an SDF has a static schedule by performing simulation and property verification of the equivalent-based P/T Petri net system achieved, framed by a Petri net invariant analysis and based on the stubborn set method of Petri nets. In this way, this new approach will allow mitigating the state explosion problem. Finally, a strategy is applied to two case studies to discover all the elementary circuits (static schedules) associated with the generated model’s state-space.
Spectral-element and adjoint methods in seismology

We provide an introduction to the use of the spectral-element method (SEM) in seismology. Following a brief review of the basic equations that govern seismic wave propagation, we discuss in some detail how these equations may be solved numerically based upon the SEM to address the forward problem in seismology. Examples of synthetic seismograms calculated based upon the SEM are compared to data recorded by the Global Seismographic Network. Finally, we discuss the challenge of using the remaining differences between the data and the synthetic seismograms to constrain better Earth models and source descriptions. This leads naturally to adjoint methods, which provide a practical approach to this formidable computational challenge and enables seismologists to tackle the inverse problem.