Miracle-dz/UniFAR-FTUs huggingface dataset:
Gamma rectification solutions based on probability density function

In phase measuring profilometry, the accuracy of the recovered 3D result relies heavily on the quality of the phase. However, the presence of gamma effect often introduces severe nonlinear phase errors, leading to ripple-like artifacts in the reconstructed surface profile. It has been proved that the Probability Density Function (PDF) of the wrapped phase values, i.e., regarded as phase histogram can well visualize the noticeable periodic errors introduced by the nonlinear gamma. Therefore, a variety of PDF-based solutions have been proposed, including calculating an optimal preset gamma value, searching better compensation coefficients and building an in-situ Look-Up-Table (LUT) and so on. Nonetheless, the influence of nonuniform intensity resulting from factors such as variations in illumination distance and imaging distance has not been adequately considered. In pursuit of further advancements, this paper introduces a real-time sub-regional compensation method based on PDF to mitigate the influence of uneven intensity distribution. In this solution, a series of simulated PDF curves, as well as gamma-value-based look-up tables that map phase-to-phase errors are created w.r. t different gamma values in advance. These simulated PDF curves are used to find the optimal gamma values of each sub-region that is divided based on a projected grayscale image. The adaptive LUTs are applied to each sub-region based on the respective gamma values, which results in improved calibration accuracy. By utilizing three-step phase-shifting fringe patterns and a grayscale image, the proposed method effectively addresses the influence of nonuniform intensity and avoids complexities of pre-calibration procedures. Experimental results validate the efficacy and practicality of this approach, highlighting its potential for high-precision and real-time measurements.
NLSAN: A Non-Local Scene Awareness Network for Compact Polarimetric ISAR Image Super-Resolution

Polarimetric inverse synthetic aperture radar (ISAR) can operate all-day and all-weather, making it crucial for space surveillance. The compact polarimetric (CP) mode balances hardware complexity and polarimetric information, which is commonly equipped with ISAR systems. Given the constraints of limited physical conditions, exploring ISAR image super-resolution is worthwhile. Currently, deep learning models have been employed for enhancing ISAR image super-resolution. However, the super-resolution performance is limited by local interpolation and the occurrence of artifacts. To address these limitations, this work presents a non-local scene awareness network (NLSAN), which incorporates a non-local interpolation approach to capture global textures. Furthermore, a scene awareness scheme is established by integrating semantic and super-resolution information, concerning the varying levels of artifacts in different regions. The training process can be regulated by a designed penalty function to mitigate potentially generated artifacts. A dataset of CP ISAR images of satellite targets is constructed for comparison analysis. The proposed NLSAN method yields more elaborate super-resolution results with fewer artifacts. Quantitative evaluations are also carried out using global and local indexes, such as the peak-signal-to-noise ratio (PSNR), the image entropy, and the 3 dB width of strong scatters. Compared with the typical state-of-the-art methods, the proposed approach achieves superior super-resolution performance, with an overall performance improvement of at least 9.2% and enhanced generalization capabilities.
A Study of the English Translation of Positive Emotions from the Perspective of Conceptual Metaphor

Emotion is a complex and abstract experience shared by human beings, but it is often expressed in the form of conceptual metaphor which is pervasive in the concrete language. Drawing upon the theory of conceptual metaphor and emotion metaphors, this paper aims to study the translation of positive emotions in David Hawkes’ version of The Story of the Stone and the related daily expressions as the corpus. According to the theories, this paper categorizes the positive emotions metaphors into body metaphors, sensory metaphors, entity metaphors, and orientational metaphors to discuss the process of English translation and the metaphorical mechanism, analyzes the similarities and differences between Chinese and English expressions of positive emotions and their cultural, physiological, and psychological motives, and lastly attempts to summarize the translation strategies of emotional expressions. The analysis of metaphorical mechanisms reveals that the common physiological and psychological experiences of human beings and cultural exchanges give rise to similarities, while the unique cultural environments, antecedents, and historical development of each nation give rise to their distinctiveness. This paper concludes that translators need to make full use of their subjectivity, understand the surface and underlying meaning of the text, and establish a high level of mental compatibility between themselves, the readers, and the author.
Kajian tentang identiti orang Cina di Malaysia dari segi epistemologi : ulasan.

ABSTRAK Kajian identiti semakin penting kepada negara berbilang kaum, termasuk Malaysia, yang tengah menjalankan projek pembinaan bangsa. Di sini bagaimana orang Cina mengidentifikasikan diri mempunyai kesan besar ke atas isu perpaduan Malaysia kerana besar bilangan mereka dalam komposisi penduduk negara ini. Sehubungan itu, banyak kajian tentang identiti orang Cina telah dilakukan sejak pengajian tentang identiti menjadi aliran di dunia akademik sains sosial Malaysia sejak 1980-an. Tujuan tulisan ini adalah meninjau dan mengulas kajian lepas tentang identiti orang Cina di Malaysia dengan menggunakan konsep epistemologi dengan metodologinya membahagikan mereka kepada kategori mengikut sifat pengetahuan. Kebanyakan kajian itu menganalisis perubahan dan pembentukan identiti orang Cina berdasarkan perubahan tahap pembangunan sosial di Malaysia. Dua kategori tulisan itu telah diidentifikasi dan dibezakan kepada jenis pengetahuan “author-oriented” dan “actor-oriented”.
Openness to World Music Predicts Adaptation to a New Culture among Student Sojourners

Student sojourners temporarily live in a foreign country to pursue higher education. Research has shown that student sojourners’ openness to new experience and cultural values predict their adaptation to the host culture. However, it is unclear whether music – a major medium of cultural communication – also plays a role in adaptation to a host culture. This study examined whether student sojourners’ world music open-earedness (a willingness to explore, listen to, tolerate, and learn about music from diverse cultures) and functions of music in intercultural settings (the psychosocial reasons people engage with music) predict psychological and sociocultural adaptation. Seventy-six student sojourners in Australia reported their musical inclinations and adaptation to Australian society. World music open-earedness was significantly correlated with psychological and sociocultural adaptation. However, multiple regression modelling revealed that after statistically controlling for personal characteristics (e.g., age, musical training), personality traits (e.g., openness), and acculturation strategies, psychological adaptation was predicted by the music functions ‘arousal and activation’ and ‘self-reflection’, whereas sociocultural adaptation was predicted by world music open-earedness and the music function ‘arousal and activation’. Mechanisms that account for these associations and implications for identifying at-risk international students are discussed.
Improving the efficiency of split learning based on multi-user and parallel training

Federated learning has rapidly become a research hotspot in the field of distributed deep learning because raw data does not need to be shared. However, it is still characterized by problems in terms of privacy security and computing power. Split learning is a new distributed deep learning technology. By dividing the complete deep learning model, the client and server can participate in the training together to overcome some problems related to computing power and privacy and security. In this paper, the concept of split learning is introduced. This article introduces the use of multi-user and parallel training methods to improve the learning efficiency of split learning.
Fatigue Reliability Assessment of RC Beams in Heavy-Haul Railways Based on Point Estimate Method

Heavy-haul railways have a high passing frequency of trains with a large axle weight, causing rapid accumulation of fatigue damage in reinforced concrete (RC) bridge structures, which significantly affects the safety of the bridges. To study the fatigue reliability of RC beams in heavy-haul railways, the fatigue performance function for RC beams in heavy-haul railways was established, and the fatigue reliability assessment method for bridge structures in heavy-haul railways based on the point estimate method (PEM) was developed. An 8 meter-span plate beam in an existing heavy-haul railway illustrates the method. The train axle weight and dynamic coefficient were considered random variables, and the first four moments of equivalent stress ranges were obtained. The traffic quantity of the heavy-haul railways was investigated, and the fatigue reliability was evaluated using the proposed method. In addition, the effects of annual freight volume and train axle weight on fatigue reliability were discussed. Results indicate that PEM can effectively and accurately evaluate the fatigue reliability of RC beams in heavy-haul railways. In the first 20 years of operation, the fatigue failure probability was less than the limit value specified in the standard. The increase in annual traffic volume and train axle weight will cause a significant increase in fatigue failure probability. The research results of this paper are expected to provide an important basis for the design and maintenance of reinforced concrete bridges for heavy-haul railways in the future.
Video Surveillance Incorporating Pan-Tilt-Zoom Cameras

Video Surveillance Incorporating Pan-Tilt-Zoom Cameras P.J. Holtzhausen Applied Mathematics Stellenbosch University Private Bag X1, Matieland 7602, South Africa Dissertation: PhD December 2014 When trespassers target businesses and homes, outdoor spaces are typically the rst point of illegal entry. Camera systems can help secure these environments, but typically many cameras are needed to cover large areas. In practice most camera systems are only used to review events after they have happened. It is however possible to do much more, and we explore the paradigm of active monitoring where cameras detect trespassers and give visual veri cation of the alarm. This detection needs to be resilient to weather e ects and other environmental noise, while running in real-time on high resolution video sequences. Our goal is to replace multiple static cameras with a single Pan-Tilt-Zoom (PTZ) camera that can monitor expansive terrain. These cameras can survey, detect and zoom in on objects of interest. We develop and implement a robust, real-time algorithm based on an interaction framework between an illumination invariant and a color based background model. We also developed and implemented a novel technique where we use optical ow motion vectors to determine the size and shape of the spatial Gaussian kernels in non parametric models. Although computationally more expensive we demonstrate these more sophisticated models can be more robust. These ideas are adapted for PTZ cameras, exploiting their pan, tilt and zoom capabilities. We apply background modeling on panorama images that inform PTZ camera movement. By this we discuss the construction of a system that secures perimeters using zooming camera analytics. ii Stellenbosch University https://scholar.sun.ac.za
Evaluating a self-proclaimed successful Dutch supply chain partnership

This study aims to reflect on experiences of professionals from a Dutch housing association and a contractor who perceive their relation as a successful supply chain partnership (SCP). Employing a narrative approach, this study shows the subgrouping in informal relations within and around the successful supply chain. The subgrouping shows examples of visible and hidden power dynamics. We conclude that, although the perception of success may have positive spin-offs, the members are not always positive about each other, SCP is applied to only a limited part of the client’s internal supply chain, SCP is applied in an arbitrary way that not always seems to be fair, and continuation of the success in the future is uncertain. The study provokes many practical interventions, but the main recommendation is to keep reflecting on informal relations to address some of the social issues.
Factors that Influence Financial Performance of Indonesian State-Owned Enterprises (SOEs): Intervening Role of Leadership Cost

Financial performance is a subjective indicator of how effectively an organisation can use assets and produce profits from its primary operating mode. The term is often used over a given time as a general indicator of a company's overall financial health. Today, numerous Stated-Owned Enterprises (SOEs) in Indonesia faces losses and high dependence on government subsidies. Thus, this study is written to examine the intervening role of cost leadership in the effect of financing strategy, investment policy, managing before interest and taxes and earnings management on the financial performance of Indonesian SOEs. This quantitative study utilises time-series data of SOEs that face financial losses, difficulties, and high dependence on government subsidies. A total of 54 of 115 SOEs registered in 2020 were selected as research sample in this study. The result of this study shows that the leadership cost has been intervening the effect of financial strategy, investment policy, managing before interest and taxes, and earning management on Indonesia SOEs financial performance. In conclusion, this study has been successfully identified and examined the role of leadership cost as an intervening variable in the relationship of financial strategy, investment policy, managing before interest and taxes, and earning management on Indonesia SOEs financial performance. This study implies that using a leadership cost variable measured on the basis of matching principle in reconciling cost income in accounting. We suggest that the company management needs to prepare operational strategies and policies that can increase the SOEs financial performance. This study can also help the government and practitioners consider the variable of leadership cost in intervening the relationship of financial strategy, investment policy, managing before interest and taxes, and earning management on Indonesia SOEs financial performance.
Overcoming Limited Fault Data: Intermittent Fault Detection in Analog Circuits via Improved GAN

Owing to the characteristics of intermittent faults (IFs), such as short duration and randomness in analog circuits, it is difficult to collect a sufficient amount of manually labeled fault data for training detection model. To this end, this article explores the application of generative adversarial network (GAN) in the field of IF detection for analog circuits. The proposed model consists of two networks, an autoencoder and a discriminator, which are trained by competing against each other while working together to grasp the underlying concepts in the target. In addition, a spatial Fourier convolution (SFC) block is proposed and introduced into the discriminator to enhance the detection performance of the model. The training process is divided into two stages, the first stage through the autoencoder and the discriminator of the adversarial learning, so that the discriminator has the initial fault detection ability. The second stage trains the autoencoder and the discriminator with a few fault samples to enhance the fault detection capability of the two networks working cooperatively. The proposed method is applied to two typical analog circuits, namely, a power amplifier circuit and a low-pass filter circuit. The results show that, guided by only a small number of fault samples, the proposed method has a great advantage over other state-of-the-art detection methods.
A Comparative Analysis of Urban Systems in the Yangtze Delta Region and the Middle Yangtze Region:An Approach of Firm-Based Interlocking Network

An urban cluster is defined not only by the geographical proximity but also,more importantly,by economic connection of cities.Firms are the agents to interlock cities into a network.By analyzing firm-based interlocking network,the paper identifies similarities and differences between urban clusters of nation-wide influence in the Yangtze Delta region and thoseof regional influence in the Middle Yangtze region regarding the configuration of their interlocking networks on global,national and regional scales.
Magnetic Resonance Perfusion-Weighted Imaging in Predicting Hemorrhagic Transformation of Acute Ischemic Stroke: A Retrospective Study

Hemorrhagic transformation (HT) is one of the common complications in patients with acute ischemic stroke (AIS). This study aims to investigate the value of different thresholds of Tmax generated from perfusion-weighted MR imaging (PWI) and the apparent diffusion coefficient (ADC) value in the prediction of HT in AIS. A total of 156 AIS patients were enrolled in this study, with 55 patients in the HT group and 101 patients in non-HT group. The clinical baseline data and multi-parametric MRI findings were compared between HT and non-HT groups to identify indicators related to HT. The optimal parameters for predicting HT and the corresponding cutoff values were obtained using the receiver operating characteristic curve analysis of the volumes of ADC < 620 × 10−6 mm2/s and Tmax > 6 s, 8 s, and 10 s. The results showed that the volumes of ADC < 620 × 10−6 mm2/s and Tmax > 6 s, 8 s, and 10 s in the HT group were all significantly larger than that in the non-HT group and were all independent risk factors for HT. Early measurement of the volume of Tmax > 10 s had the highest value, with a cutoff lesion volume of 10.5 mL.
Zircon U-Pb and Whole-Rock Rb-Sr Ages and Early Crustal Development near Rainy Lake, Ontario

Early Precambrian rocks near Rainy Lake, on the Ontario-Minnesota border, are comprised of a thick section of metasediments and paragneisses (Coutchiching) overlain conformably by metavolcanics (Keewatin) and intruded by Laurentian Igneous rocks. Eight of ten zircon samples from these units lie within experimental error (±30 m.y.) of a 2750-m.y. Concordia chord. We conclude that the zircon ages are primary and not a result of metamorphic resetting. There is thus no evidence for an older sialic source region from which the detrital Coutchiching zircons were derived. It is probable that these detrital zircons were derived locally from contemporaneous volcanics and shallow intrusives within the geosyncline. There is little recorded time difference ( The Rb-Sr isochron for the volcanics gives an age of 2770 m.y. (initial Sr 87 /Sr 86 = 0.7010) which is not statistically different from the Coutchiching isochron age of 2690 m.y. (initial ratio = 0.7002). Both isochrons are in agreement with the zircon intercept age of 2750 m.y. (using λRb 87 = 1.39 X 10 −11 yr −1 ). At least some of the paragneisses are shown to be open to strontium migration during regional metamorphism. The Coutchiching isochron age of 2690 m.y. probably represents an early stage of metamorphism during the Algoman orogeny. Samples of one Laurentian intrusive give an isochron age of 2520 m.y. , which is distinctly younger than the ages of the Laurentian zircons. This intrusive has been highly sheared and the rocks have probably been reset during the shearing event.
Can Drector Liability Insurance Promote Company Performance?—Empirical Evidence Based on Chinese Listed Companies

: This paper invests the effects of D&O Liability Insurance in Chinese listed companies. We address the sample selection problem by employing the propensity score matching methodology.To reduce the small sample size bias, we use the bootstrap approach to estimate the standard errors. Results show that, (1) The decision of listed companies to buy D&O Liability Insurance is endogenously determined, so it exists sample selection problem; (2) On the whole, performance is negatively related to D&O Liability Insurance even after controlling for sample selection bias, but the negative relationship has been declined; (3) D&O insurance does not play a positive role in corporate governance, and it makes a marked decline in the company value; (4) Other factors, such as company size, executive compensation, ownership concentration and equity of state owned shares, overseas listing all have significant positive effects on purchase of D&O Insurance, but feasibility, executors share holding shown a significant negative impact on purchase of D&O insurance.
Boundary Layer Cloud Climatology at the ARM TWP Nauru Site

Boundary layer (BL) clouds are fundamental in regulating the vertical structure of water vapor and entropy in the lowest 2 km of the Earth’s atmosphere. Data on fair-weather cumuli have also received relatively little recent attention compared with marine stratocumulus clouds. Studies made thirty years ago, Barbados Oceanographic and Meteorological Experiment (BOMEX, 1969) and the Atlantic TradeWind Experiment (ATEX, 1969), provided key analyses (Augstein et al., 1973; Holland and Rassmusen, 1973; Betts, 1975) for better understanding the effects of shallow clouds on maintaining the large-scale heat and moisture budgets of the trades. But these studies provided no direct observations of the clouds that were responsible for these transports and were made well before the development of the remote sensing systems that have come to be so critical in the definition of cloud properties. The observations from the Atmospheric Radiation Measurement Tropical Western Pacific (ARM TWP)-Nauru site provide a unique opportunity to study the structure of marine BL clouds. Although this site is not located in the classic trade-wind regime, the clouds observed over the site are the result of processes similar to those observed over other areas of the Earth’s oceans.
The Renewability of Water Resources and Its Quantification of the Yellow River Basin in China

The drying-up event in the lower reaches of the Yellow River during the 1990s was the most serious problem of water resources issues in China that involved the concept of water resources renewability in the Yellow River basin. The problem of renewability linked with hydrological process affected by climate change and human activity was addressed in this paper. A quantitative method was developed to analyse causes and to propose countermeasures to improve renewability of water resources. The magnitude of renewability and change in time and space within the river system can be represented using this method. According to the analysis of observation data set, the renewability of water resources of the Yellow River basin has had a significant declining trend since the 1950s. Specially, the renewability indicator in the downstream has reduced 0.2 with a worse situation of the 1990s. By renewability assessment, some of the workable countermeasures can be analyzed.