Miracle-dz/UniFAR-FTUs huggingface dataset:
Delayed Combination of Adaptive Filters in Colored Noise

In this work, we study the combination of adaptive filters in colored noise environments. First, a combination framework using delayed weights is introduced to tackle the colored noise. Based on this, delayed convex and affine combinations of two LMS filters are developed, resulting in the so-called Dcvx-LMS and Daff-LMS algorithms. Then, the convergence behaviors of the two algorithms are investigated using standard mean-square deviation analysis. In addition, to speed up the convergence and reduce the computational complexity, we propose delayed combination with periodic feedback, delayed combined-step-size and block implementation methods. Finally, simulation results demonstrate the superiority of our algorithms over previously reported techniques in the presence of colored noise.
Social and Psychological Factors Influencing HIV Sexual Risk Behaviors among Young Adult Filipino Men Who Have Sex with Men (MSM) in Metro Manila

ABSTRACT The Philippine HIV crisis disproportionately affects young Filipino men who have sex with men (MSM). MSM accounted for about 80% of all new infections. Hence, this study explored the sociodemographic characteristics, sexual orientation, living arrangements, and mental health conditions that may influence HIV sexual risk behaviors among them. A survey questionnaire was administered to 119 young adult Filipino MSM. It found that the average annual number of sexual partners and instances of unprotected anal intercourse among the respondents were 13 and 6, respectively. Living with one’s partner and depression correlated with a higher number of sexual partners and unprotected anal intercourse (p<.05). Contrastingly, these sexual behaviors did not correlate with age, education, employment, income, sexual orientation, anxiety, and alcohol use. These may be due to the negative effect of depression on one’s judgment as well as the limited sex education, condom use stigma, gender-based discrimination, and communication difficulty in MSM romantic relationships in the Philippines. Thus, sex education, safe sex practices, PrEP availability, gender equality, and mental health and sexual behavior screening must be strengthened to address the HIV disparity among young Filipino MSM.
THE ROLE OF EMPOWERMENT OF THE COOPERATIVE AND MSME OFFICE IN THE DEVELOPMENT OF SMALL AND MEDIUM MICRO ENTERPRISES IN MEDAN CITY

Medan City Small and Medium Enterprises (SMEs) development still faces several obstacles such as capital, marketing, the use of technology, human resource capabilities, and business licensing. Based on the background of the research, the purpose of this study is; analyzing the empowerment provided by Medan City SMEs to SMEs in Medan; analyzing the development of SMEs in Medan City that have received empowerment from Medan City Cooperatives Service and SMEs; The research method used is qualitative with descriptive. The results showed that the role of Medan City Cooperatives and SMEs office has been able to increase the development of SMEs in Medan City in terms of improving product quality, product diversification, production amount, and business profits. The development occurred mainly due to the empowerment of product marketing and ease of licensing. However, there are some drawbacks in the empowerment of technology utilization and empowerment of HR capabilities in the form of training programs that have not run optimally and evenly. Capital empowerment is also still lacking because the capital of equipment assistance has not been fully able to overcome the constraints of capital funding in SMEs.
Numerical investigation of efficiency loss mechanisms in light emitting diodes and determination of radiative and non-radiative lifetimes for infrared optoelectronics

The year 2015 was defined the international year of light and light-based technologies. This title did not come unexpected, the research activity in solid-state lighting intensified during the last decade striving to improve solid-state light sources in terms of power consumption and fabrication costs. Emerging technologies are going to improve and amplify the scope of applicability of current solid-state lighting technology. This work would like to give a contribution to scientific research in solid-state lighting on two fronts. First, by contributing to the determination of the optical properties of germanium and germanium-tin alloy and second, by searching for remedies to the temperature dependent efficiency loss in GaN/InGaN based blue light emitting diodes. On these premises, this work has been splitted in two parts. In part one, the Auger recombination properties of germanium and radiative and Auger recombination properties for germanium-tin alloy have been calculated. In case of germanium, the application of a minimum biaxial tensile strain turns the material to a direct gap semiconductor, suitable for active and passive optoelectronic applications. On the other hand, the germanium-tin alloy is even more interesting due to its tunable band-gap energy and the capability to turn into a direct gap material above a certain molar fraction. On top of that, both materials may represent cheaper alternatives to materials currently used for the fabrication of high performance photodetectors and active optoelectronic devices. For both materials, the Auger and radiative recombination properties have been determined through a novel numerical approach that applies a Green's function based model to the full band structure of the material. In part two, the temperature dependent efficiency loss, experimentally detected in a reference GaN/InGaN based single quantum well light emitting diode, has been numerically studied by measn of a commercial simulation software Crosslight APSYS © . The charge transport mechanism in the device has been modeled through an improved drift-diffusion scheme and compared to the real device current-voltage characteristics. Once an agreement between real and simulated current-voltage characteristics was achieved, the impact of Shockley-Read-Hall recombination mechanism on the device internal quantum efficiency function of temperature has been throughfully studied.
Ungrievable lives and the ensemble of opinions

ABSTRACT Cyclists are understood as vulnerable road users, but when cyclists are killed by drivers, media reports shared to social media are often accompanied by comments that aggressively rearticulate hierarchies of automobility. This article explores the news reporting, public social media sharing, and public social media comments about the deaths of two cyclists – Mike Hall and Cameron Frewer. To assemble an archive of relevant media material, we have developed a method that uses Google News and the Chrome plugin Crowdtangle. We draw on the work of Judith Butler to argue that some commenters find cyclists ungrievable and explore how this performance of ungrievability rearticulates common sense hierarchies of automobility. Similarly, we also argue that these tragic events serve as a locus of sociality for cyclists and cycling advocates who often do not have a personal relation to Hall or Frewer, but nevertheless articulate their mourning in terms of a personalized relationship to their evident tragic vulnerability.
Asymmetric Interaction of a Solar Wind Reconnecting Current Sheet and Its Magnetic Hole With Earth's Bow Shock and Magnetopause

We report results of our multi‐spacecraft analysis of a solar wind reconnecting current sheet (RCS) and its solar wind magnetic hole (SWMH) observed on November 20, 2018. In the solar wind, the normal vector to the current sheet plane makes an angle of 32° with the Sun‐Earth line. A combination of tilted current sheet plane and foreshock effects cause an asymmetric interaction with the bow shock, in which the structure arrives at the quasi‐perpendicular side of the bow shock before the quasi‐parallel side. The magnetic field strength inside the magnetic hole decreases by ∼69 percent in the solar wind, with a similar depression rate observed inside the magnetosheath due to this structure. The solar wind flow slowdown and deflection during the bow shock crossing significantly disrupt the reconnection exhausts within the RCS. The interaction of the RCS and SWMH with the bow shock creates enhanced fluxes of accelerated electrons and ions. Plasma flow deflection in the magnetosheath also increases with the passage of the RCS. The ion density and temperature both increase within the current sheet to form a roughly pressure balanced structure. Field rotation and change in the dynamic pressure during this event modify the reconnection zones at the magnetopause and cause asymmetric inward motions in portions of the bow shock and the magnetopause boundaries (i.e., deformation). Unlike localized magnetosheath jets, an RCS and its associated SWMH in the solar wind have a global impact on the bow shock and the magnetopause.
Oxygen Vacancy Formation and Migration within the Antiphase Boundaries in Lanthanum Scandate-Based Oxides: Computational Study

The atomic structure of antiphase boundaries in Sr-doped lanthanum scandate (La1−xSrxScO3−δ) perovskite, promising as the proton conductor, was modelled by means of DFT method. Two structural types of interfaces formed by structural octahedral coupling were constructed: edge- and face-shared. The energetic stability of these two interfaces was investigated. The mechanisms of oxygen vacancy formation and migration in both types of interfaces were modelled. It was shown that both interfaces are structurally stable and facilitate oxygen ionic migration. Oxygen vacancy formation energy in interfaces is lower than that in the regular structure, which favours the oxygen vacancy segregation within such interfaces. The calculated energy profile suggests that both types of interfaces are advantageous for oxygen ion migration in the material.
A reflexive capability model for sustainable e-business environments in construction supply chains

Despite the increasing significance of e-business worldwide and construction market leaders developing innovative e-business applications, the widespread uptake in the Australian construction industry is lagging. There has been considerable literature related to e-business adoption focusing on drivers and barriers to adoption. However, there has not been an investigation that has applied fundamental supply chain theory concepts. In this paper a reflexive capability model for the individual firm in relation to e-business is developed which relies upon merging economic and social practices through an industrial organization economic theoretical lens and social science theories of communication. The reflexive capability model proposed within this paper describes a framework for theorization of the different degrees of e-business adoption exhibited by individual firm’s and accounts for social-cultural, organisational-structural, communicative and economic (market and supply chain) barriers, influences and pressures to adopt e-business.The model is proposed for the construction supply chain to enable awareness, engagement and realization of e-business technology and achieve long term construction e-business sustainability.
A novel cascade approach to extract bioactive compounds from officinal herbs

This research aims to compare a novel cascade extraction method with a conventional solid–liquid extraction method, both assisted by ultrasounds. The cascade extraction method consists of a sequential series of extractions performed with the same hydroalcoholic solvent, which is reused from one herb to the other. In practice, a hydroalcoholic solution is firstly used to extract one botanical herb. The resulting extract is then reused for the extraction of a second herb. The process is repeated as many times as the number of herbs composing the final formulation. The main advantage of this approach is firstly the lower need of solvents compared with the individual extraction procedures, where a fresh solvent is needed on each extraction step. Furthermore, extracts of the two methods (solid liquid vs cascade extraction) were characterized with several antioxidant assays (DPPH, ORAC, and FRAP) and total phenolic content (TPC). The results show that the solid–liquid extraction method achieves similar yields to total phenols and similar TAC in comparison to the extracts obtained by the cascade extraction method. Also, the HPLC analysis of the extracts showed that both methods lead to similar chromatographic profiles either when analyzed by an electrochemical detector (CoulArray) or by a spectrometric diode array detector (DAD). However, our findings support the idea that the cascade extraction method obtains extracts richer of minor peaks, showing a more complex bioactive profile. Such results could be explained considering that the solvent used during the series of cascade extractions was enriched not only by antioxidants but also by plant surfactants, like saponins, which increase the solvent solubility. Overall, this research shows that the cascade extraction method can not only provide officinal herb extracts with similar phenolic yield and antioxidant capacity than conventional solid–liquid extraction but also with a more complex bioactive profile compared to traditional solid–liquid extraction and with a minor consumption of solvents.
Identification and Extracting Method of Exterior Building Information on 3D Map

: Although the Korean government has provided high-quality architectural building information for a long period of time, its focus on administrative details over three-dimensional (3D) architectural mapping and data collection has hindered progress. This study presents a basic method for extracting exterior building information for the purpose of 3D mapping using deep learning and digital image processing. The method identiﬁes and classiﬁes objects by using the fast regional convolutional neural network model. The results show an accuracy of 93% in the detection of façade and 91% window detection; this could be further improved by more clearly deﬁning the boundaries of windows and reducing data noise. The additional metadata provided by the proposed method could, in the future, be included in building information modeling databases to facilitate structural analyses or reconstruction efforts.
Finite-time integral sliding mode control for chaotic permanent magnet synchronous motor systems

: In this paper, an integral finite-time sliding mode control scheme is presented for controlling a chaotic permanent magnet synchronous motor (PMSM). The controller can stabilize the system output tracking error to zero in a finite time. Using Lyapunov’s stability theory, the stability of the proposed scheme is verified. Numerical simulation results are presented to present the effectiveness of the proposed approach.
Do Listed Companies' Technological Innovations Make Institutional Investors' "Group Holdings" More Favorable?: Based on Network-Clustering

This paper constructs a dynamic panel threshold model with a sample of firms in the Chinese A-share market. We analyse the non-linear relationship and the mechanisms between the two. The study found that there is an inverted U-shaped relationship between corporate technology innovation and institutional investors’ group holdings, and an inverse N-shaped relationship between corporate technology innovation output and institutional investors’ group holdings. And when we add the innovation input to a lag operator, the model calculations are similar to the inverse N-type non-linear model of innovation output, and the two innovation indicators are consistent. When institutional investors feel the sentiment and the “pass the parcel” in the market, they will exit the group because of the risk factor. Although technological innovation in companies will contribute to their long-term development, it is important to be more aware of the risks involved. Excessive levels of investment will still be subject to external financing constraints.
Height Optimized Tries

We present the Height Optimized Trie (HOT), a fast and space-efficient in-memory index structure. The core algorithmic idea of HOT is to dynamically vary the number of bits considered at each node, which enables a consistently high fanout and thereby good cache efficiency. For a fixed maximum node fanout, the overall tree height is minimal and its structure is deterministically defined. Multiple carefully engineered node implementations using SIMD instructions or lightweight compression schemes provide compactness and fast search and optimize HOT structures for different usage scenarios. Our experiments, which use a wide variety of workloads and data sets, show that HOT outperforms other state-of-the-art index structures for string keys both in terms of search performance and memory footprint, while being competitive for integer keys.
Life history and ossification patterns in Miguashaia bureaui reveal the early evolution of osteogenesis in coelacanths

The study of development is critical for revealing the evolution of major vertebrate lineages. Coelacanths have one of the longest evolutionary histories among osteichthyans, but despite access to extant representatives, the onset of their weakly ossified endoskeleton is still poorly understood. Here we present the first palaeohistological and skeletochronological study of Miguashaia bureaui from the Upper Devonian of Canada, pivotal for exploring the palaeobiology and early evolution of osteogenesis in coelacanths. Cross sections of the caudal fin bones show that the cortex is made of layers of primary bone separated by lines of arrested growth, indicative of a cyclical growth. The medullary cavity displays remnants of calcified cartilage associated with bony trabeculae, characteristic of endochondral ossification. A skeletochronological analysis indicates that rapid growth during a short juvenile period was followed by slower growth in adulthood. Our new analysis highlights the life history and palaeoecology of Miguashaia bureaui and reveals that, despite differences in size and habitat, the poor endoskeletal ossification known in the extant Latimeria chalumnae can be traced back at least 375 million years ago.
B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM

Customer churn prediction is very important for e-commerce enterprises to formulate effective customer retention measures and implement successful marketing strategies. According to the characteristics of longitudinal timelines and multidimensional data variables of B2C e-commerce customers’ shopping behaviors, this paper proposes a loss prediction model based on the combination of k-means customer segmentation and support vector machine (SVM) prediction. The method divides customers into three categories and determines the core customer groups. The support vector machine and logistic regression were compared to predict customer churn. The results show that each prediction index after customer segmentation was significantly improved, which proves that k-means clustering segmentation is necessary. The accuracy of the SVM prediction was higher than that of the logistic regression prediction. These research results have significance for customer relationship management of B2C e-commerce enterprises.
Depth and Speed Control of Large Diameter Unmanned Underwater Vehicles

This paper deals with the depth and speed controls of a class of nonlinear large diameter unmanned underwater vehicles (LDUUVs), while maintaining its attitude. The concerned control problem can be viewed as an asymptotic stabilization of the error model in terms of its desired depth, surge speed and attitude. To tackle its nonlinearities, the linear parameter varying (LPV) model is employed. Sufficient linear matrix inequality (LMI) conditions are provided for its asymptotic stabilization. A numerical simulation is provided to demonstrate the effectiveness of the proposed design methodology.
Ultra-Broadband and Compact TM-Pass Polarizer Based on Graphene-Buried Polymer Waveguide

We report an ultra-broadband and compact TM-pass polarizer based on graphene-buried polymer waveguides. The characteristic parameters of the polarizer were carefully designed and optimized. The standard microfabrication processes were employed to fabricate the device. The presented polarizers exhibit high polarization-dependent transmission imposing a TE mode cutoff while leaving the TM mode almost unaffected. We experimentally demonstrated the polarizer that has an ultra-high extinction ratio of more than 22.9 dB and 41.9 dB for the monolayer graphene film placed on the surface of core layer and buried in the center of core layer, respectively, and as low insertion loss as ~4.0 dB for the TM mode with the bandwidth over 110 nm. The presented polarizer has the advantages of high extinction ratio, ultra-broadband, low cost, and easy integration with other polymer-based planar lightwave devices.
Tourist Gaze at Chinese Classical Gardens: The Embodiment of Aesthetics (Yijing) in Tourism

Classical gardens offer ample cultural and natural landscapes for visitors to appreciate. Taking the tourist gaze as a theoretical lens, this study assumes a netnographic approach and conducts narrative analysis on travel blogs to explore visitors’ experiences at Chinese classical gardens. Findings revealed key domains of the gaze object (i.e., macro-level structural design and micro-level elements) and the way of gaze (i.e., spatial and temporal), which formed the Chinese gaze in the tourism context. Results further showed how gaze contributed to Yijing development, a unique Chinese aesthetic concept. This study enriches the tourism and aesthetics literature by positioning a classical aesthetic concept (Yijing) within a modern tourism practice (gaze). Practical implications for tourism development and destination marketing are provided.
New approaches for biological structures identification in histology tissue images

by Jiazhuo Wang Pathologists rely on histology information for disease diagnosis and patients treatment. However, the process of disease characterization by visual examination of histology tissue images is often labor intensive and requires expert knowledge. In this dissertation, we present algorithms for automatic identification of various biological structures at different scales, for example, tissue regions, immune cells, and subcellular structures. These biological structures of interest are closely related to the diseases, and are needed to be identified first, so that properties of these biological structures can be extracted to analyze the diseases. However, in histology tissue images, these biological structures usually have large variations with respect to, for example, shape, size, and color, both across different images, or within the same image. Also, the biological structures are embedded in a very complex tissue background, which is quite noisy and possibly has considerable artifacts. Therefore, it is very challenging to identify these biological structures. The proposed algorithms are based on combinations of computer vision and machine learning (including deep learning) techniques, to resolve or alleviate the challenges. As a result, the proposed algorithms not only provide useful tools for automatic identification of biological structures (which greatly releases the burden of visual examination of histology tissue images from pathologists), but also introduce an opportunity for quantitative