Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed modeling and control of a segmented mirror surface

The next generation of ground-based optical telescopes will employ increasingly large primary mirrors to achieve superior resolution and light collecting abilities. Many of these large mirror surfaces will be segmented into an array of hundreds of smaller mirror segments. The corresponding number of required sensors and actuators will be in the order of thousands, which creates a challenging control problem to stabilize and align each segment from external disturbances - wind shake, gravity forces, thermal effects, seismic effects and induced vibrations from surrounding equipment and telescope motion - so that the telescope's image quality requirements can be met. The use of a centralized control scheme may be infeasible due to the large number of inputs and outputs of the resulting control system, while a decentralize control scheme would lack global performance. An attractive alternative approach is an interconnected network of distributed controllers that provide global control with a highly scalable design and implementation. A segmented mirror can be considered as an interconnected system comprised of many similar discrete subsystems, where each subsystem represents an individual mirror segments and its dynamics are coupled directly to its neighboring segments. The resulting distributed controller network of controller subsystems are similarly coupled and working cooperatively to achieve the desired global performance.
Dielectric property and thermal stability of HfO2 on silicon

A stoichiometric, uniform, and amorphous hafnium oxide thin film is deposited by an atomic layer deposition process. The as-deposited hafnium oxide films showed superior electrical properties compared to zirconium oxides, including a dielectric constant of 23, a flatband voltage shift of +0.3 V, a hysteresis of 25 mV, an interfacial trap density of 1.8×1011 cm−2 eV−1, and a leakage current density several orders of magnitude lower than SiO2 at an equivalent oxide thickness of 9.3 A, suitable for metal–oxide–semiconductor device applications. The thermal stability of hafnium oxide on silicon was determined to be better than that of zirconium oxide. Post-deposition annealing in oxygen and ammonia further improved the thermal stability of HfO2 to 1000 and 1100 °C, respectively.
Two Functional Wheel Mechanism Capable of Step Ascending for Personal Mobility Aids

Obstacles such as ramps, steps, and irregular floor surfaces are commonly encountered in homes, offices, and other public spaces. These obstacles frequently limit the daily activities of people who use mobility aids. For this purpose, this study solves a slope minimization problem for personal mobility aids. As a solution approach, a gradient-reduction scheme is proposed, which allows existing mobility aids to reduce the required horizontal forces and vibrations when ascending steps while maintaining their wheel sizes. Practically, an axle-transitional wheel mechanism realizing the gradient-reduction computation model is established, and its step-ascending wheel prototype is developed. Specifically, since the proposed wheel enables integration into existing personal mobility-assisting devices, two functional roles, such as rolling and step ascending, can be used. The developed step-climbing wheel can help the users of mobility aids mitigate the aforementioned limitations. The physical and mental burdens of caregivers and medical staff can also be reduced by making the users of the gradient-reduction scheme more self-sufficient. This study provides details on the axle-transitional wheel mechanism and its step-ascending wheel prototype. The findings are analyzed mathematically, and their functionality is verified through extensive experiments using a prototype.
ON QUALITATIVE PROPERTIES OF SOLUTIONS OF SOME HYPERBOLIC SYSTEMS IN THE PLANE

This paper substantiates the linearization principle in the case of mixed problems for autonomous hyperbolic systems with one space variable. A class of boundary conditions is singled out, whose existence is a necessary and sufficient condition for raising the smoothness of a solution of the corresponding mixed problem for the linear homogeneous system.Bibliography: 15 titles.
An objective evaluation metric for color image fusion

Image fusion has been extensively studied in past two decades. By image fusion algorithms, a composite image (i.e., fused image) can be formed with several images from different sensors. The performance of image fusion methods can be assessed using subjective and/or objective measures. However, subjective evaluation involves human subjects, which significantly increases the cost of time and resource. In this paper, we will discuss objective evaluations of color image fusion algorithms. Given a reference color image and fused color images, we first convert the images into CIELab color space. Then we define four image metrics in CIELab space: the phase congruency metric (PCM), the image gradient magnitude metric (IGMM), the image contrast metric (ICM), and the color natural metric (CNM). Finally, with the four metrics, we propose an objective evaluation index (OEI) for a fused image to measure its similarity with the reference image. The larger the OEI value of a fused image is, the more similar the fused image is with the reference image. To validate the proposed metric, first the fused images are formed with different color fusion algorithms using a set of multispectral images (including visible color images, near infrared images, and long wave infrared images); and then the OEIs of fused images are calculated and compared. Experimental results show that the proposed objective evaluation index is very promising and fits well to subjective evaluation.
Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

To investigate the route choice behavior of travelers under unexpected accidents, this study designs four different scenarios of travelers’ route choice behavior experiments according to the severity of unexpected accidents. The bounded rationality characteristics of travelers, such as the time perception difference coefficient, psychological threshold effect coefficient, and scale effect, are introduced into the generalized random regret minimization (GRRM) model. An improved generalized random regret minimization (IGRRM) model is constructed based on travelers’ route choice behavior under unexpected accidents. The collected data of travelers’ route choice results under four different congestion-level scenarios are analyzed by the IGRRM model. The study finds that with the increase in congestion level, travelers are more willing to change the route; during the commute, travelers tend to choose the route with less travel time and angular cost; in the moderate and serious congestion scenarios, travelers no longer reject the detour route; attribute perception difference, scale effect, and psychological threshold effect; affect travelers’ route choice behavior. The IGRRM model based on the route choice behavior of travelers can more accurately characterize the route choice behavior of travelers under unexpected accidents, provide a basis for traffic flow distribution under unexpected accidents, and benefit traffic management departments to take traffic control and guidance measures to ease the traffic congestion caused by unexpected accidents.
Damage detection on steel-reinforced concrete produced by corrosion via YOLOv3: A detailed guide

Damage assessment applied to reinforced concrete elements is one of the main activities of infrastructure maintenance tasks. Among these elements, the problem of corrosion in reinforced concrete is particularly critical and requires careful consideration. Annually, governments invest a large amount of economic resources in this activity. However, most methodologies for damage assessment rely on visual inspection, which may be subjectively interpreted, producing inconsistent results and requiring a considerable amount of time and resources. This study evaluates the performance of real-time object detection using You Only Look Once, version 3, for detecting corrosion damage in concrete structures. The architecture of YOLOv3 is based on a complex, but efficient, convolutional neural network fed by a dataset proposed and labeled by the authors. Two training stages were established to improve the model precision, using transfer learning with medium- and high-resolution training images. The test results show satisfactory concrete-corrosion detection through validation photographs and videos demonstrating the capabilities of explainable artificial intelligence and its applications in civil engineering.
Suppressing DFB Lasers Relaxation Oscillations by High-Order Continuous Shaping Current With CNN Prediction

A technique of continuous shaping current waveform to suppress relaxation oscillations (ROs) of distributed feedback (DFB) laser for a high-performance optic system is demonstrated. To effectively suppress ROs, expressions for the shaping current waveform are theoretically derived based on the rate equations and different polynomials for the <inline-formula> <tex-math notation="LaTeX">$3^{rd}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$5^{th}$ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$8^{th}$ </tex-math></inline-formula> order Fourier basis functions are introduced. The convolutional neural network (CNN) is employed to predict the multi-parameter values that determine the results of the shaping input current, which exempt from the difficult and time-consuming process of parameter selection. Prior to training, preprocessing of the data obtained from DFB laser forward simulation using min-max normalization aims to improve the training efficiency of the CNN. The shaping current signals obtained from the CNN predicted parameters are put into the equivalent circuit model for the DFB laser to verify the effectiveness of the shaping current technique and CNN parameter optimization. Afterwards, the shaping current waveform is verified in a time division multiplex passive optical network (TDM-PON) utilizing the DFB laser model as a directly modulated source achieving remarkable performance with low cost. The results show that the high-order continuous shaping current modulated technique can successfully suppress the ROs and enhance the performance of the optic system.
Locomotion-Based UAV Control Toward the Internet of Senses

The emergence of 5th-generation networks and the introduction of the ultra-low latency Internet, namely, tactile Internet, by the International Telecommunication Union (ITU), has opened up a wide range of applications. Extended Reality (XR), holoportation, and remote control of machines are among the ones that would revolutionize the future of factories, smart cities, and digital healthcare. Virtual Reality (VR) technology provides users with highly realistic visual and auditory experiences, enabling a high sense of immersion and embodiment in virtual environments. In the real world, however, we use more senses than only vision and hearing to perceive our surroundings. Particularly, tactile sensation is the only bidirectional modality that enables us to perceive and interact with the objects and surfaces around us. This brief introduces a real-life testbed Unmanned Aerial Vehicle (UAV)-based system that leverages different technologies, including VR, 360° video streaming over 4G/5G, and edge computing to enable 6 Degrees of Freedom (6DoF) view with haptic feedback for a maximized immersion. The demonstration videos of the testbed are made publicly available on the following links: Link1 and Link2.
General model on polarization compensation in satellite-to-ground quantum communication

Abstract. A general model in satellite-to-ground quantum communication is proposed by investigating the effect of a laser acquisition, pointing, and tracking (APT) system on the polarization state of single photons. The eccentricity of the general model ranges from 0 to 1, which means that a circular orbit can be introduced reasonably. Moreover, the geocentric-equatorial coordinate system, which can utilize the two-line elements, is used in the general model. Two kinds of simulations are performed, and we found that the rotations of polarization state are obviously influenced by the APT system. Our model could be applied in a realistic satellite-to-ground quantum communication system.
A real‐time automated convective and stratiform precipitation segregation algorithm in native radar coordinates

A new convective/stratiform (C/S) precipitation segregation algorithm was developed for applications with single radar volume scan data and in its native (spherical) coordinates. The new algorithm consists of two parts: the first is to find convective rainfall cores based on physical characteristics of different rainfall types, and the second is to delineate the full convective area through seeded region growing. The new scheme takes into account radar sampling characteristics and a variety of precipitation scenarios where the C/S delineation was relatively challenging. The new C/S delineation scheme has two impacts on radar quantitative precipitation estimation (QPE): (i) correctly separate convective and stratiform regions such that appropriate Ze–R relationships can be applied; (ii) correctly define the stratiform area such that a vertical profile of reflectivity (VPR) correction can be applied. The VPR correction is very important to reduce overestimation errors in radar QPEs associated with bright band. The new algorithm was tested on many events and showed improved performance over previous schemes, especially when handling strong bright band and melting graupels in stratiform precipitation. The new scheme was also tested in radar quantitative precipitation estimation (QPE) and it consistently reduced the root mean square error and mean absolute bias in the radar QPE when compared with gauges.
NEW PERMANENT MAGNET MATERIALS

New permanent magnet materials containing rare‐earth elements (RE) have been discovered. For the most part, these alloys are based on the hexagonal intermetallic compounds, Co5RE. Replacement of cobalt with copper in some of these rare‐earth compounds results in solid materials with substantial permanent magnet properties. Coercive forces as high as 28,700 Oe have been obtained in heat‐treated samples of alloys in the Co5Sm–Cu5Sm system.
Hierarchies of Beliefs and Common Knowledge

Abstract Game-theoretic analysis often leads to consideration of an infinite hierarchy of beliefs for each player. Harsanyi suggested that such a hierarchy of beliefs could be summarized in a single entity, called the player′s type . This paper provides an elementary construction, complementary to the construction already given in [J-F. Mertens and S. Zamir, Formulation of Bayesian analysis for games with incomplete information, Int. J. Game Theory 14 (1985), 1–29] of Harsanyi′s notion of a type. It is shown that if a player′s type is coherent then it induces a belief over the types of the other players. Imposing common knowledge of coherency closes the model of beliefs. We go on to discuss the question that often arises as to the sense in which the structure of a game-theoretic model is, or can be assumed to be, common knowledge. Journal of Economic Literature Classification Number: 026.
Construction and immunogenicity of an mRNA vaccine against chikungunya virus

Chikungunya fever (CHIKF) has spread to more than 100 countries worldwide, with frequent outbreaks in Europe and the Americas in recent years. Despite the relatively low lethality of infection, patients can suffer from long-term sequelae. Until now, no available vaccines have been approved for use; however, increasing attention is being paid to the development of vaccines against chikungunya virus (CHIKV), and the World Health Organization has included vaccine development in the initial blueprint deliverables. Here, we developed an mRNA vaccine using the nucleotide sequence encoding structural proteins of CHIKV. And immunogenicity was evaluated by neutralization assay, Enzyme-linked immunospot assay and Intracellular cytokine staining. The results showed that the encoded proteins elicited high levels of neutralizing antibody titers and T cell-mediated cellular immune responses in mice. Moreover, compared with the wild-type vaccine, the codon-optimized vaccine elicited robust CD8+ T-cell responses and mild neutralizing antibody titers. In addition, higher levels of neutralizing antibody titers and T-cell immune responses were obtained using a homologous booster mRNA vaccine regimen of three different homologous or heterologous booster immunization strategies. Thus, this study provides assessment data to develop vaccine candidates and explore the effectiveness of the prime-boost approach.
Transition Point Estimation Using RC-Filtered Square Wave for Calibration of SAR ADC

Successive-approximation register (SAR) ADCs are susceptible to non-linearities due to capacitor mismatch. This brief proposes a transition points-based calibration of the SAR ADC using an RC-filtered square wave by looking at the histogram of output digital codes to improve the linearity without any additional analog circuitry. The proposed method is validated with an <inline-formula> <tex-math notation="LaTeX">$\mathbf {8}$ </tex-math></inline-formula>-bit SAR ADC fabricated in UMC <inline-formula> <tex-math notation="LaTeX">$\mathbf {180}$ </tex-math></inline-formula>-nm CMOS. The proposed calibration algorithm improves the signal-to-noise and distortion ratio (SNDR) of the <inline-formula> <tex-math notation="LaTeX">$\mathbf {8}$ </tex-math></inline-formula>-bit ADC from <inline-formula> <tex-math notation="LaTeX">$\mathbf {42.87}$ </tex-math></inline-formula> dB to <inline-formula> <tex-math notation="LaTeX">$\mathbf {46.91}$ </tex-math></inline-formula> dB, and the spurious-free dynamic range (SFDR) from <inline-formula> <tex-math notation="LaTeX">$\mathbf {51.95}$ </tex-math></inline-formula> dB to <inline-formula> <tex-math notation="LaTeX">$\mathbf {60.61}$ </tex-math></inline-formula> dB.
CDK4/6 Inhibitors—Overcoming Endocrine Resistance Is the Standard in Patients with Hormone Receptor-Positive Breast Cancer

Simple Summary Abemaciclib, dalpiciclib, palbociclib and ribociclib have all demonstrated significant improvements in progression-free survival in advanced disease. However, to date, abemaciclib and ribociclib are the only CDK4/6 inhibitors shown to improve the overall survival in patients with metastatic breast cancer. Moreover, abemaciclib is the first CDK4/6 inhibitor to also reduce the risk of recurrence in those with early-stage disease. Thus, achieving significant improvements in survival rates in the advanced and early breast cancer treatment setting, CDK4/6 inhibitors are the first substances in almost two decades to substantially change the standard of care for advanced breast cancer patients. This review is designed to discuss the recent history, current role, future directions and opportunities of this substance class. Abstract Purpose of review: Tamoxifen and aromatase inhibitors can be considered as some of the first targeted therapies. For the past 30 years, they were the endocrine treatment standard in the advanced and early breast cancer setting. CDK4/6 inhibitors, however, are the first substances in almost two decades to broadly improve the therapeutic landscape of hormone receptor-positive breast cancer patients for the upcoming years. This review is designed to discuss the recent history, current role, future directions and opportunities of this substance class. Recent findings: The CDK4/6 inhibitors abemaciclib, dalpiciclib, palbociclib and ribociclib have all demonstrated a statistically significant improvement in progression-free survival in advanced disease. However, to date, abemaciclib and ribociclib are the only CDK4/6 inhibitors to have shown an improvement in overall survival in patients with metastatic breast cancer. Moreover, abemaciclib is the first CDK4/6 inhibitor to also reduce the risk of recurrence in those with early-stage disease. Further CDK inhibitors, treatment combinations with other drugs and different therapy sequences are in development. Summary: Achieving significant improvements in survival rates in the advanced and early breast cancer treatment setting, CDK4/6 inhibitors have set a new standard of care for patients with advanced breast cancer. It remains important to better understand resistance mechanisms to be able to develop novel substances and treatment sequences.
Application of sparse nonlinear programming to trajectory optimization

The most effective numerical techniques for the solution of trajectory optimization and optimal control problems combine a nonlinear iteration procedure with some type of parametric approximation to the trajectory dynamics. Early methods attempted to parameterize the dynamics using a small number of variables because the iterative search procedures could not successfully solve larger problems. With the development of more robust nonlinear programming algorithms, it is now feasible and desirable to consider formulations of the trajectory optimization problem incorporating a large number of variables and constraints. The purpose of this paper is to address the manner in which a trajectory is parameterized and the design of the nonlinear programming algorithm to effectively deal with this formulation.
An Image Generation Method of Unbalanced Ship Coating Defects Based on IGASEN-EMWGAN

During the process of ship coating, various defects will occur due to the improper operation by the workers, environmental changes, etc. The special characteristics of ship coating limit the amount of data and result in the problem of class imbalance, which is not conducive to ensuring the effectiveness of deep learning-based models. Therefore, a novel hybrid intelligent image generation algorithm called the IGASEN-EMWGAN model for ship painting defect images is proposed to tackle the aforementioned limitations in this paper. First, based on a subset of imbalanced ship painting defect image samples obtained by a bootstrap sampling algorithm, a batch of different base discriminators was trained independently with the algorithm parameter and sample perturbation method. Then, an improved genetic algorithm based on the simulated annealing algorithm is used to search for the optimal subset of base discriminators. Further, the IGASEN-EMWGAN model was constructed by fusing the base discriminators in this subset through a weighted integration strategy. Finally, the trained IGASEN-EMWGAN model is used to generate new defect images of the minority classes to obtain a balanced dataset of ship painting defects. The extensive experimental results are conducted on a real unbalanced ship coating defect database and show that, compared with the baselines, the values of the ID and FID scores are significantly improved by 4.92% and decreased by 7.29%, respectively, which prove the superior effectiveness of the proposed model in this paper.