Miracle-dz/UniFAR-FTUs huggingface dataset:
LMI-based Robust LPV Control of Wind Turbines: Literature Review and Problem Statement

Wind power has proven to be one of the most versa le forms of renewable energy. In a similar fashion, offshore wind is emerging as the most promising method of addressing the increased power produc on requirements, given the massive poten al of wind at sea. The Dutch consor um for innova on in offshore wind energy TKIWind op Zee performs ac ve researchwith themain goal of allowing higher penetra on of offshore wind power. D4REL (Design for Reliable Power Performance) is one such research project which, within the consor um, is coordinated by the Energy Research Centre of the Netherlands (ECN). Within D4REL, ECN works in close coopera on with TU Del and have established a definite goal of developing novel control tools for the reduc on of uncertainty in the design and opera on of offshore wind farms. Offshore wind turbines are subject to large varia ons in terms of their physical parameters. Aerodynamic performance can change drama cally based on weather condi ons and the passage of me. Modal characteris cs for bo om-supported structures experience considerable varia ons due to environmental condi ons such as rise and fall of sea levels, forma on of ice around the turbine tower and scour. Control systems designed only based on an ideal fixed-parameter model will, therefore, perform subop mally in such situa ons. In this literature review a en on is first given to introducing the prac cali es associated with the men oned problem into a model structure. A framework for the robust and linear parameter-varying control theory is then established. Up-to-date efforts in wind turbine control are described in strict rela on to the goals of the D4REL project. Subsequently, a new control problem is formulated and a research direc on towards addressing it is proposed. Although the informa on contained in this report is derived from reliable sources and reasonable care has been taken in the compiling of this report, ECN cannot be held responsible by the user for any errors, inaccuracies and/or omissions contained therein, regardless of the cause, nor can ECN be held responsible for any damages that may result therefrom. Any use that is made of the informa on contained in this report and decisions made by the user on the basis of this informa on are for the account and risk of the user. In no event shall ECN, its managers, directors and/or employees have any liability for indirect, non-material or consequen al damages, including loss of profit or revenue and loss of contracts or orders.
Visual Servoing for Precision Shipboard Landing of an Autonomous Multirotor Aircraft System

Visual Servoing for Precision Shipboard Landing of an Autonomous Multirotor Aircraft System Jesse Stewart Wynn Department of Mechanical Engineering, BYU Master of Science Precision landing capability is a necessary development that must take place before unmanned aircraft systems (UAS) can realize their full potential in today’s modern society. Current multirotor UAS are heavily reliant on GPS data to provide positioning information for landing. While generally accurate to within several meters, much higher levels of accuracy are needed to ensure safe and trouble-free operations in several UAS applications that are currently being pursued. Examples of these applications include package delivery, automatic docking and recharging, and landing on moving vehicles. The specific problem we consider is that of precision landing of a multirotor unmanned aircraft on a small barge at sea—which presents several significant challenges. Not only must we land on a moving vehicle, but the vessel also experiences random rotational and translational motion as a result of waves and wind. Because maritime operations often span long periods of time, it is also desirable that precision landing can occur at any time—day or night. In this work we present a complete approach for precision shipboard landing and address each of the aforementioned challenges. Our method is enabled by leveraging an on-board camera and a specialized landing target which can be detected in light or dark conditions. Features belonging to the target are extracted from camera imagery and are used to compute image-based visual servoing velocity commands that lead to precise alignment between the multirotor and landing target. To enable the multirotor to match the horizontal velocities of the barge, an extended Kalman filter is used to generate feed-forward velocity reference commands. The complete landing procedure is guided by a state machine architecture that incorporates corrections to account for wind, and is also capable of quickly reacquiring the landing target in a loss event. Our approach is thoroughly validated through full-scale outdoor flight tests and is shown to be reliable, timely, and accurate to within 4 to 10 centimeters.
Compositional Constraints on the North Polar Cap of Mars from Gravity and Topography

The polar ice caps are the largest reservoir of water ice on Mars. The north polar ice cap is composed of the ice‐rich north polar layered deposit (NPLD) and a lower‐lying, silicate‐rich basal unit (BU). Together, these units represent a record of Martian climate history throughout the Amazonian period. Here we place a bulk compositional constraint on the BU by modeling its gravity signature in both spatial and spectral domains using two independent approaches. We find the density of the BU to be 2007+493−445 kg/m3, suggesting that it may contain 55 + 25% water ice. We estimate that the BU contains ~1.5‐m global equivalent layer of water making it one of the largest reservoir of water‐ice on Mars. Our compositional constraint suggests that the north pole of Mars was not only a cold trap for ices but also an aeolian trap for silicates during the Amazonian period.
Quantitative estimations of aquifer properties from resistivity in the Bolivian highlands

Resistivity data constitute the largest part of the available information to assess the hydrogeological characteristics of the aquifer system near Oruro, in the central part of the Bolivian Altiplano. Two aquifers are part of this system; top unconsolidated sediments storing fresh water in their granular voids, overlying fractured hard rock formations where saline water was detected in connection to some faults. This study proposes an indirect and cost-effective way to estimate aquifer hydraulic properties for the groundwater management in the region. Hydraulic conductivity and transmissivity in the top aquifer were estimated using an empirical linear relationship between hydraulic conductivity and resistivity. This latter parameter, as well as the aquifer thickness, were obtained from the inverted models corresponding to the geoelectrical tests performed in the study area (electrical resistivity tomography, transient electromagnetic soundings and vertical electrical soundings). The highest estimated transmissivity values are ∼4.0 × 10−2 m2/s located in the centre of the study area, the lowest values are ∼3.4 × 10−3 m2/s, located around thermal intrusions to the south and where the top of the bedrock is shallow (∼20 m depth) to the west. The methodology presented in this study makes wider use of resistivity measurements to identify promising groundwater production sites.
High Precision and Pose Estimation Based on Improved Point Cloud Algorithm for Noncooperative Targets

Aiming at protecting the space environment such as removing space debris and repairing malfunctioning targets, it is vital importance to measure the pose of space targets. In this paper we propose a high precision pose estimation algorithm based on point cloud. The optimized Random Sample Consensus (RANSAC) algorithm which applies iterative solution can effectively delete false matching points. The experiment system consists of a satellite model and a binocular camera. The proposed method is a vital part of new autonomous spacecraft measurement which only use a binocular camera system at different perspectives to complete the pose estimation. After obtaining the cloud data of a target, we use the improved crust algorithm to accomplish the three-dimensional model. Finally, the experiment has shown that the vision based method can obtain the pose information of the targets effectively.
Spectral Numerical Mode Matching Method for Metasurfaces

A novel 3-D spectral numerical mode-matching (SNMM) method is proposed and developed as a highly efficient rigorous solver for metasurfaces on the interface of a half-space with Bloch (Floquet) periodic boundary conditions. In addition to full electromagnetic (EM) fields, the SNMM solver can provide with ease the characteristics of metasurfaces including their absorptance, anomalous reflection/refraction, and surface plasmon polaritons (SPPs). The SNMM method is a semianalytical solver: it solves for the Bloch eigenmodes in the horizontal directions by using the mixed spectral-element method (MSEM) numerically, but determines the scattering in the vertical direction analytically through eigenmode propagation. As there is no need for discretization in the vertical direction, it can efficiently and accurately simulate EM wave interactions with metasurfaces. Numerical experiments indicate that the SNMM method is efficient and accurate for the metasurfaces compared with the well-developed 3-D finite-element method (FEM). Applications to homogeneous isotropic/anisotropic, inhomogeneous isotropic, and the gradient metasurfaces are demonstrated. Typically, the computational speed of the proposed solver is one to two orders of magnitude higher than the FEM as implemented in a commercial software package.
Multiresonance Chipless RFID Sensor Tag for Metal Defect Characterization Using Principal Component Analysis

One of the challenges in structural health monitoring (SHM) is that defects, such as metal cracks and corrosions, can occur with multiple material properties and multilayer structure, entangled with influences from the reader system and the environment. This paper presents a multiresonance chipless radio frequency identification (RFID) sensor tag and the chipless RFID sensor reader applying principal component analysis (PCA) for multiparameter estimation in metal defect characterization. The proposed sensor tag is composed of the crossed diagonal dipole patches and the L-shaped patches generating six resonance peaks within 2-6-GHz band. The frequency signature of the sensor tag is acquired and processed by a chipless RFID reader implemented using an ultra-wideband impulse radar (UWB-IR) transceiver module. We demonstrate that the multiresonance chipless RFID sensor tag in conjunction with PCA-based feature extraction and selection can be applied for the characterization of metal crack with different widths and orientations. Furthermore, the proposed technique can find a robust feature indicating corrosion stages under a coating layer regardless of the sample orientation. This paper paves the way for multiparameter defect sensing and monitoring using a chipless RFID sensor system.
Reduced-Order Observer Design for Boolean Control Networks

In this paper, we propose an approach to design reduced-order state observer for Boolean control networks by applying the semi-tensor product. At first, an approach is given to find reducible state variables. After that, we introduce an approach for reduced-order observer design based on the reducible state variables. Then, it is shown that similar to the Luenberger-like observer, the state estimate provided by the reduced-order observer also converges to real state at time not later than the minimal reconstructibility index. Additionally, the reduced-order observer requires lower computational effort, which facilitates an online implementation.
Hawks, Robots, and Chalkings: Unexpected Object Encounters During Walking Interviews on a College Campus

A feeding hawk, a sculpture of a fallen robot, and chalk markings pointing to a slave cemetery—each of these objects was unexpectedly encountered during walking interviews on a college campus. This article explores these object encounters in turn as provocations toward the potential for walking as a method to generate interventions in the reproduction of hegemonic spaces. Specifically, this paper takes up the Deleuzoguattarian concepts of the rhizome and the assemblage to explore how the practice of walking makes possible creative and imaginative explorations in the relationship between objects and place. Methodologically, walking produces the possibility for affirmative difference in the interview, a positive embrace of reading objects as complex and connected through an embodied enactment of rhizomes and assemblages. Inquiry that thinks with rhizomes and assemblages connects disparate encounters, moments, and objects through affirmative difference, embracing connections and relations. This article suggests implications for how the walking interview might engender reflective entanglements of theory and methodology, resist extractive methods, as well as produce imaginative reconceptualisations of place, and interventions and disruptions of hegemonic narratives.
microRNA-605 inhibits the oncogenicity of non-small-cell lung cancer by directly targeting Forkhead Box P1

Background and aims: microRNA-605 (miR-605) is dysregulated in multiple cancers and plays crucial roles in regulating cancer progression. However, little is known about the expression pattern and detailed roles of miR-605 in non-small-cell lung cancer (NSCLC). Thus, in this study, we evaluated miR-605 expression in NSCLC along with its clinical significance. More importantly, the detailed roles and the underlying molecular mechanisms of miR-605 in NSCLC were explored. Material and methods: Quantitative reverse transcription polymerase chain reaction (RT-qPCR) was employed to detect miR-605 expression in NSCLC tissues and cell lines. A series of experiments were performed to determine the effects of miR-605 upregulation on NSCLC cell proliferation, apoptosis, migration and invasion in vitro and tumor growth in vivo. In addition, the downstream regulatory mechanisms of miR‐605 action in NSCLC cells were explored. Results: Decreased expression of miR-605 was frequently detected in NSCLC tissues and cell lines. Low expression of miR-605 was significantly correlated with the tumor size, TNM stage, and distane metastasis in NSCLC patients. Exogenous miR-605 expression inhibited proliferation, increased apoptosis, and inhibited metastasis of NSCLC cells in vitro. Additionally, miR-605 overexpression hindered the growth of NSCLC cells in vivo. Furthermore, Forkhead Box P1 (FOXP1) was identified as a direct target gene of miR-605 in NSCLC cells. Moreover, FOXP1 was highly expressed in NSCLC cells and showed an inverse correlation with miR-605 expression levels. Besides, silencing of FOXP1 simulated roles similar to miR-605 upregulation in NSCLC cells. FOXP1 reintroduction partially abolished the anticancer effects of miR-605 in NSCLC cells. Conclusion: Our results revealed that miR-605 inhibited the oncogenicity of NSCLC cells in vitro and in vivo by directly targeting FOXP1, suggesting the importance of the miR-605/FOXP1 pathway in the malignant development of NSCLC.
Featured Species-Specific Loops Are Found in the Crystal Structure of Mhp Eno, a Cell Surface Adhesin From Mycoplasma hyopneumoniae

Enolase is an evolutionarily conserved enzyme involved in the processes of glycolysis and gluconeogenesis. Mycoplasma hyopneumoniae belongs to Mycoplasma, whose species are wall-less and among the smallest self-replicating bacteria, and is an important colonizing respiratory pathogen in the pig industry worldwide. Mycoplasma hyopneumoniae enolase (Mhp Eno) expression is significantly increased after infection and was previously found to be a virulence factor candidate. Our studies show that Mhp Eno is a cell surface-localized protein that can adhere to swine tracheal epithelial cells (STECs). Adhesion to STECs can be specifically inhibited by an Mhp Eno antibody. Mhp Eno can recognize and interact with plasminogen with high affinity. Here, the first crystal structure of the mycoplasmal enolase from Mycoplasma hyopneumoniae was determined. The structure showed unique features of Mhp Eno in the S3/H1, H6/S6, H7/H8, and H13 regions. All of these regions were longer than those of other enolases and were exposed on the Mhp Eno surface, making them accessible to host molecules. These results show that Mhp Eno has specific structural characteristics and acts as a multifunctional adhesin on the Mycoplasma hyopneumoniae cell surface.
Power System Security in Market Clearing and Dispatch Mechanisms

This paper presents and discusses some typical market clearing and dispatch mechanisms based on security-constrained (SC) optimal power flow (OPF) techniques that are currently being utilized in various jurisdictions throughout the world, concentrating on how system security is accounted for in these auction systems and the effect that this has on the system dispatch schedules and energy prices. The Ontario market is used as an example to illustrate the practical application of these security-constrained clearing and dispatch mechanisms. The need for a better representation of system security in the existent auction systems is also discussed, based on the fact that "unexpected" dispatch solutions, resulting from diverse bidding patterns and the mechanisms used to clear and dispatch the market, may render ineffective the predetermined system security limits typically used in most auction models, leading to insecure operating conditions and/or unnecessary high prices associated with an unrealistic modeling of system congestion. The latter is illustrated using a simple 6 bus test system, comparing the dispatch levels and prices, as well as the general system operating conditions, obtained from a SC-OPF auction mechanism with respect to those obtained using a voltage-stability-constrained technique, which better represents system security
Federated database systems for managing distributed, heterogeneous, and autonomous databases

A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed. We then define a methodology for developing one of the popular architectures of an FDBS. Finally, we discuss critical issues related to developing and operating an FDBS.
Professional development and teacher efficacy: evidence from the 2013 TALIS

ABSTRACT Using the 2013 Teaching and Learning International Survey (TALIS) data, this study explored the relationship between professional development (PD) and teacher efficacy. In particular, the analysis focused on how 4 aspects of PD (format, content, duration, and quality) are statistically related to the overall as well as the 3 subscales of teacher efficacy in classroom management, instruction, and student engagement. This study found PD programs (a) in the formats that promoted job-embedded, inquiry-oriented, and collaborative learning and (b) that offered contents for curriculum, instructional skills, school management, and technology were statistically correlated with the overall as well as the subscales of teacher efficacy in a positive way. As for PD duration and quality, this study found the length of PD and teacher-perceived quality of PD were positively associated with some of the 4 teacher efficacy variables.
Exogenous regucalcin negatively regulates the progression of cervical adenocarcinoma

Cervical adenocarcinoma (CA) is a type of cervical cancer, and in previous decades its incidence has steadily increased. The upregulation of regucalcin (RGN) in various tumor cell types inhibits the progression of cancer. To understand the role of RGN in CA, RGN expression in human cervical cancer compared with normal tissues was analyzed using The Cancer Genome Atlas database (TCGA). Subsequently, transfection of lentivirus-mediated RGN into HeLa cells was conducted to study its function in tumor proliferation and metastasis. The expression of RGN and proteins associated with the Wnt/β-catenin signaling pathway and epithelial-mesenchymal transition (EMT) were determined using reverse transcription-quantitative polymerase chain reaction and western blotting. Cell migration and invasion were evaluated using Transwell assays. Furthermore, cell proliferation, colony formation and cell cycle were assessed using the Cell Counting Kit-8, colony formation assay and flow cytometry, respectively. Lentivirus-mediated RGN effectively upregulated RGN expression, inhibited cell proliferation, retarded cellular invasion and promoted cell cycle arrest at the G2/M phase in HeLa cells. In addition, the expression levels of β-catenin, p-glycogen synthase kinase (GSK)-3β, matrix metalloproteinase (MMP)-3, MMP-7 and MMP-9 were effectively decreased, whilst those of E-cadherin and GSK-3β were increased. The results suggest that RGN may be an inhibitory factor in tumorigenesis, and its mechanism of inhibiting tumor proliferation and metastasis may be associated with Wnt/β-catenin signaling and EMT.
An agency theory approach towards bribery

Purpose This paper aims to discuss the role of agency theory in combatting bribery in multinational corporations. It is shown how a combination of bonus and malus payments could help to create the right incentives for agency. Design/methodology/approach Based on the analysis of 15 formal and 15 informal expert interviews with both prevention experts and corrupt individuals, concrete ways of more effectively combatting bribery have been developed. Findings As a result, it is suggested that matrix systems could help to adjust incentives systems to take compliance issues into account. It is found that multinational corporations should eliminate. Research limitations/implications This study’s findings are limited to the perspectives of 30 interviewees. Hence, it is possible that a study with a larger sample conducted in different countries or at a different time would have led to different results. Practical implications The identification of the potential role of incentive systems in compliance mechanisms is meant to provide compliance officers and legislators with valuable insights into why the current prevention schemes are ineffective. This can help to both improve compliance mechanisms. Originality/value While the empirical findings are based in Europe, the results could be applied globally.