Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamical robust backstepping using a combined sliding modes and high-gain observer approach

The design of a controller and high-gain observer methodology which aims to simplify the backstepping procedure is presented. This approach differs from standard backstepping in that the virtual control inputs are designed based on estimates of the previous virtual control inputs. This eliminates the need to take derivatives of the system dynamics, which simplifies the control law and reduces the overcompensation of uncertainty. Robustness in the design is provided by a zero-order sliding mode used at each step. The virtual control input estimates used in the control design are generated by second-order high-gain observers. The high-gain observers include a zero-order sliding mode for robustness to uncertainty resulting from a coupling between the controller and observers. Stability analysis results for the coupled controller-observer system are discussed, which show that the closed-loop system is ultimately bounded. Numerical simulations are also presented to demonstrate the effectiveness of the proposed approach.
Space-connector model for representing the geometric properties of connections between spaces

ABSTRACT This study suggests a new spatial network model, called the space-connector model, for improving the representation of relations between spaces. Previous models have proved incapable of expressing the differences in the geometric and visual relations between spaces, such as the type and size of openings, the length of corridors, or the transparency of walls. New notations for explicitly representing these differences are proposed. This study suggests a modified process and map for calculating isovist, pedestrian route, based on the space-connector model. The space-connector model was implemented in the ‘ASpace’ tool and its functionality has been validated through an integrated analysis of space syntax and spatial properties as well as isovist and pedestrian route analysis.
Análise de Métodos de Aprendizagem de Máquina para Detecção Automática de Spam Hosts

Web spamming é um dos principais problemas que afeta a qualidade das ferramentas de busca. O número de páginas web que usam esta técnica para conseguir melhores posições nos resultados de busca é cada vez maior. A principal motivação são os lucros obtidos com o mercado de publicidade online, além de ataques a usuários da Internet por meio de malwares, que roubam informações para facilitar roubos bancários. Diante disso, esse trabalho apresenta uma análise de técnicas de aprendizagem de máquina aplicadas na detecção de spam hosts. Experimentos realizados com uma base de dados real, pública e de grande porte indicam que as técnicas de agregação de métodos baseados em árvores são promissoras na tarefa de detecção de spam hosts.
Reproducibility and Reliability of Spectralis II OCT Angiography Vascular Measurements

Purpose: to investigate the reproducibility and reliability of OCT-A vascular measurements using Heidelberg Spectralis II OCT-A. Methods: a prospective study involving a single eye of patients aged 18 or older with no ocular disease. In order to investigate the reliability of the first and second OCT-A scans, the coefficient of variation of the foveal avascular zone (FAZ) and the vessel density (VD) in the superficial (SCP), intermediate (ICP) and deep capillary plexus (DCP) were calculated. Results: A total of 75 eyes were included in the study. The mean FAZ in the first and second scan was 0.36 × 0.13 mm2 and 0.37 × 0.12 mm2, respectively, in the SCP, 0.23 × 0.10 mm2 and 0.23 × 0.09 mm2 in the ICP, and 0.42 × 0.11 mm2 and 0.43 × 0.12 mm2 in the DCP. The overall VD was 36.05 × 9.01 and 35.33 × 9.92 at the first and second scan, respectively, in the SCP, 21.87 × 5.00 and 21.32 × 5.56 in the ICP, and 23.84 × 6.53 and 23.20 × 6.83 in the DCP. No statistically significant differences in FAZ measurements and VD in all sectors of each capillary plexus were observed between the first and second scan (p > 0.05). Conclusion: our study demonstrated the good reproducibility and reliability of OCT-A vascular measurements in the analysis of the FAZ and the quantification of VD in each capillary plexus of the retina.
Borrowing the Features of Biopolymers for Emerging Wound Healing Dressings: A Review

Wound dressing design is a dynamic and rapidly growing field of the medical wound-care market worldwide. Advances in technology have resulted in the development of a wide range of wound dressings that treat different types of wounds by targeting the four phases of healing. The ideal wound dressing should perform rapid healing; preserve the body’s water content; be oxygen permeable, non-adherent on the wound and hypoallergenic; and provide a barrier against external contaminants—at a reasonable cost and with minimal inconvenience to the patient. Therefore, choosing the best dressing should be based on what the wound needs and what the dressing does to achieve complete regeneration and restoration of the skin’s structure and function. Biopolymers, such as alginate (ALG), chitosan (Cs), collagen (Col), hyaluronic acid (HA) and silk fibroin (SF), are extensively used in wound management due to their biocompatibility, biodegradability and similarity to macromolecules recognized by the human body. However, most of the formulations based on biopolymers still show various issues; thus, strategies to combine them with molecular biology approaches represent the future of wound healing. Therefore, this article provides an overview of biopolymers’ roles in wound physiology as a perspective on the development of a new generation of enhanced, naturally inspired, smart wound dressings based on blood products, stem cells and growth factors.
A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches

Feature selection is the process of identifying the most relevant features from the given data having a large feature space. Microarray datasets are comprised of high-quality features and very few samples of data. Feature selection is performed on such datasets to identify the optimal feature subset. The major goal of feature selection is to improve the accuracy by identifying a minimal feature subset. For this purpose, the proposed research focused on analyzing and identifying effective feature selection algorithms. A novel framework is proposed which utilizes different feature selection methods from filters, wrappers, and embedded algorithms. Furthermore, classification is then performed on selected features to classify the data using a support vector machine (SVM) classifier. Two publically available benchmark datasets are used, i.e., the Microarray dataset and the Cleveland Heart Disease dataset, for experimentation and analysis, and they are archived from the UCI data repository. The performance of SVM is analyzed using accuracy, sensitivity, specificity, and f-measure. The accuracy of 94.45% and 91% is achieved on each dataset, respectively.
Higher education and creative economy in East Asia: Co(labor)ation and knowledge socialism in the creative university

Abstract This paper is a complete student-led, student-edited collective writing project (CWP) conducted virtually in Spring 2022 throughout the course Knowledge Socialism taught by professor Michael Peters for the Faculty of Education, Beijing Normal university. The CWP involves 4 international, 5 domestic Ph.D. students, and 2 senior Western scholars as reviewers, revealing their thoughts, arguments, understanding, and criticisms towards the creative economy status in East Asian countries (Japan and China mostly) higher education as reflected in the knowledge socialism narratives. Xiyuan as the lead author, co-editing with Woraport and Stefan, assigned each section to other authors and successfully devoted themself to organizing, proofreading, and revising the paper. Through a month of collective work, the final version of the paper elaborates on the contribution of East Asian creative universities and the economy as a whole to the knowledge socialism through co(labor)ation, with implications to the creative labors cultivation and shifted roles of students.
Influence of Permeability Dispersion on Radiation of BAW Antenna: Modeling of Multiphysics Dynamic Coupling

Coupling of multiphysics including electrodynamics, elastodynamics, magnetodynamics, and electromagnetic (EM) radiation is involved in the operating process of bulk acoustic wave (BAW) antenna. There is still no good way to design the structure and evaluate the performance of the antenna in theory. Therefore, the multiphysics dynamic coupling model of the antenna is constructed by uniting Newton’s equation for acoustic wave, Maxwell’s equation for EM wave, and Landau–Lifshitz–Gilbert (LLG) equation for spin wave with constitutive relations of multiferroic materials to discuss the dispersion law of permeability and magnetomechanical coupling factor for the magnetostrictive layer. The importance of consistency between ferromagnetic resonance (FMR) frequency and BAW resonant frequency is demonstrated. The analysis shows that both increasing the anisotropic field or the saturation magnetization and decreasing the FMR linewidth are beneficial to improving the internal energy conversion efficiency and the average radiated power for BAW antenna. In addition, a micromagnetic module is introduced into finite element analysis (FEA) software to simulate the precession of unit magnetic moment at different frequencies. Thus, the analytical model is verified from the perspective of power absorption.
Methods of Multivariate Analysis

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Models of Information Technology Use: Meta-Review and Research Directions

ABSTRACT The considerable body of literature on information technology (IT) use is grounded in different theoretical perspectives and the models have seemingly increased the variance explained in the two major dependent constructs – behavioral intention (BI) and system use (SU). However, not all effects on BI and SU have been significant and the models of IT use have been examined in different contexts. This study conducts a two-part assessment of 35 models of IT use including a qualitative assessment of the model constructs using the STEP (System, Task, Environment, Person) framework and a quantitative assessment of the differences in model effectiveness across models of IT use. Results showed no statistical differences in the proportion of significant effects on BI and SU, but significant differences in the proportion of variance explained in BI and SU. Implications and future directions for research are proposed.
Transcriptional Regulator DasR Represses Daptomycin Production through Both Direct and Cascade Mechanisms in Streptomyces roseosporus

Daptomycin, produced by Streptomyces roseosporus, is a clinically important cyclic lipopeptide antibiotic used for the treatment of human infections caused by drug-resistant Gram-positive pathogens. In contrast to most Streptomyces antibiotic biosynthetic gene clusters (BGCs), daptomycin BGC has no cluster-situated regulator (CSR) genes. DasR, a GntR-family transcriptional regulator (TR) widely present in the genus, was shown to regulate antibiotic production in model species S. coelicolor by binding to promoter regions of CSR genes. New findings reported here reveal that DasR pleiotropically regulates production of daptomycin and reddish pigment, and morphological development in S. roseosporus. dasR deletion enhanced daptomycin production and morphological development, but reduced pigment production. DasR inhibited daptomycin production by directly repressing dpt structural genes and global regulatory gene adpA (whose product AdpA protein activates daptomycin production and morphological development). DasR-protected regions on dptEp and adpAp contained a 16 nt sequence similar to the consensus DasR-binding site dre in S. coelicolor. AdpA was shown to target dpt structural genes and dptR2 (which encodes a DeoR-family TR required for daptomycin production). A 10 nt sequence similar to the consensus AdpA-binding site was found on target promoter regions dptAp and dptR2p. This is the first demonstration that DasR regulates antibiotic production both directly and through a cascade mechanism. The findings expand our limited knowledge of the regulatory network underlying daptomycin production, and will facilitate methods for construction of daptomycin overproducers.
The "Theoretical Lens" Concept: We All Know What it Means, but do We All Know the Same Thing?

The term theoretical lens has grown in usage in business and social science research and particularly in the information systems (IS) discipline. In this paper, we question what the term really means by examining it on several dimensions in the context of its actual use. In particular, we consider 1) where the term appears in each paper, 2) how many conceptualizations of theoretical lens each paper uses, 3) the research method the paper uses, 4) the IS domain the paper considers, and 5) which underlying conceptualizations the paper actually uses. To do so, we examine the full set of actual uses in the IS journal that uses the term most frequently, the European Journal of Information Systems. We conclude by discussing several further questions that these observations raise, which suggest deeper issues about better and less advantageous uses of theoretical lenses in IS research and what these issues might imply for the IS discipline.
Three Binding Conformations of BIO124 in the Pocket of the PICK1 PDZ Domain

The PDZ family has drawn attention as possible drug targets because of the domains’ wide ranges of function and highly conserved binding pockets. The PICK1 PDZ domain has been proposed as a possible drug target because the interactions between the PICK1 PDZ domain and the GluA2 subunit of the AMPA receptor have been shown to progress neurodegenerative diseases. BIO124 has been identified as a sub µM inhibitor of the PICK1–GluA2 interaction. Here, we use all-atom molecular dynamics simulations to reveal the atomic-level interaction pattern between the PICK1 PDZ domain and BIO124. Our simulations reveal three unique binding conformations of BIO124 in the PICK1 PDZ binding pocket, referred to here as state 0, state 1, and state 2. Each conformation is defined by a unique hydrogen bonding network and a unique pattern of hydrophobic interactions between BIO124 and the PICK1 PDZ domain. Interestingly, each conformation of BIO124 results in different dynamic changes to the PICK1 PDZ domain. Unlike states 1 and 2, state 0 induces dynamic coupling between BIO124 and the αA helix. Notably, this dynamic coupling with the αA helix is similar to what has been observed in other PDZ–ligand complexes. Our analysis indicates that the interactions formed between BIO124 and I35 may be the key to inducing dynamic coupling with the αA helix. Lastly, we suspect that the conformational shifts observed in our simulations may affect the stability and thus the overall effectiveness of BIO124. We propose that a physically larger inhibitor may be necessary to ensure sufficient interactions that permit stable binding between a drug and the PICK1 PDZ domain.
The Governance of Non-Contractual Business Relationships: Which Social Algorithm

In the "business world, there is no business relationship without trust". However, the stability of non-contractual business interaction is not based on "blind" trust. On the contrary, it requires interpersonal trust based on a sociocultural rationality. " Therefore, the latter should be explored and analyzed. Thus, as a case study, the phenomenon of non-contractual business exchange relationships of the informal transport of goods in Morocco is governed by "social algorithms" based on interpersonal trust, in which virtues such as (Niya[1], Lkelma[2], Lmakoul[3] etc.) create a model exchange practices based on cultural ethics and moral value. [1] Intention [2] Word of honor [3] Honest
MHD Numerical Simulations of Magnetic Reconnection Associated with Emerging Flux

Two-dimensional (2D) magnetohydrodynamic (MHD) numerical simulations have been performed to study magnetic reconnection between emerg ing flux and the overlying coronal magnetic field, taking into account of gravity. It is found that (1) reconnection starts when most of chromospheric mass in the current sheet between the emerging flux and the coronal field has drained down along the loop because of gravity, (2) multiple magnetic islands, which confine cool, dense chromospheric plasma, are created in the sheet; the islands coalesce dynam ically and are ejected along the sheet, together with the ambient hot plasma, at Alfven speed. The coexistence of hot and cool plasmas in the mass ejection (jet) associated with the reconnection seems to explain those X-ray jets observed by Yohkoh, which are identified with Ha surges.
COVID-19 skepticism and the perception of risk

Abstract A large group of people are receptive to COVID skeptic messages which can be linked to lower levels of perceived risk and uncompliant behavior. Using a survey instrument targeting young adults, which we repeated during the second and fourth waves of COVID-19, we explored how various psychological factors affect risk perception and to what degree can these be linked to COVID skepticism. Our results suggest that higher skepticism is very strongly associated with a lower risk perception. Skepticism also mediates the effects of well-known antecedents of risk perception, such as individualism, pro-social attitudes and trust in scientists. We found that contracting the virus is associated with increased risk perception and increased skepticism, which is contradictory, but understandable considering our sample composition. Among those who had a family member or a friend contracting the virus we observed higher levels of perceived risk and lower skepticism. The longitudinal nature of our research highlights that the influence of trust in scientists and government are dependent on the public discourse, which naturally develops over time. Differences in risk perception based on gender, which is well established in the literature and significant in our first sample, have diminished by the time of our second sample, suggesting this effect could be crowded out as people’s understanding grows and beliefs form about the virus. The findings emphasize the importance of assessing skepticism not only for researchers studying COVID related risk perception and its psychological predictors, but also for policy makers combating hazardous scenarios like the pandemic.
The Influence of Financial Literature, Financial Technology, and Income on Financial Behavior

The purpose of this study was to analyze the effect of Financial Literacy, Financial Technology, and Income on Financial Behavior. The population of this research is Management Students at Mercu Buana University located in West Jakarta. The sample was selected using the convenience sampling method as many as 48 respondents. The data processing technique uses structural equation modeling assisted by the SmartPLS program. 3.2. 7. The results of this study indicate that Financial Literacy and Income have a positive and significant effect on Financial Behavior (Financial Behavior), while Financial Technology is negative and does not significantly affect Financial Behavior (Financial Behavior).
Design of dual/tri-frequency impedance transformer with ultra-high transforming ratio

In this article, the design of a new dual-band impedance transformer with ultra-high transforming ratio (UHTR) is presented. The closed-form expressions are derived analytically using a lossless transmission-line theory. To practically validate the proposed design concept, two examples of dual-band transformer working at smaller and larger frequency ratios are designed for different load impedance of 500, 1000, and 1500 Ω. Finally, three prototypes of dual-band transformer with UHTR are designed, fabricated, and tested. For all these prototypes, different frequency ratios (two operating frequencies can be chosen arbitrarily) are considered. The measured return loss of the prototypes is better than 15 dB at all the operating frequencies. The measured results are matched very closely with the simulated results. This design is then extended to match a complex load at two different frequencies. The multi-band characteristic is obtained by decomposing a shorted stub into a stepped impedance section of the proposed structure. With the necessary derivation and analysis, a tri-frequency matching network is designed for a transforming ratio of 10.
Vibro-acoustic analysis of a trapezoidal cavity with a clamped flexible wall

The coupled model between trapezoidal cavity and its clamped flexible wall is developed using classical modal coupling theory. Based on the coupled model, the resonance frequencies of coupled system are obtained and compared with the corresponding uncoupled one. Meanwhile, the reason for the variation of resonance frequencies of coupled system modes is analyzed in detail. Then, the response of coupled system is investigated using the acoustic potential energy in the cavity and panel vibration kinetic energy when it is excited by an incident plane wave outside of the cavity. Coupling coefficient between trapezoidal cavity and its clamped flexible wall is proposed to assess the modal matching degree between them. It is shown that the coupling selection is not satisfied except in the axis direction which is parallel to the inclined wall. In addition, a rectangular cavity with a clamped flexible wall is also considered and compared with that of the trapezoidal one.
Assessing Students’ Perceived Engagement and Perceived Performance for E-Learning in East Coast Malaysia: A Partial Least Square Structural Equation Modeling Approach

Perceived engagement is defined as the extensive use of learning management system services, features, and capabilities. In the wake of the Coronavirus disease 2019, studies show that there is an increase in user engagement level toward the learning management systems, especially among tertiary education. Perceived engagement extends the previous concept of information system usage by incorporating several dimensions: cognitive, affective, and behavioral perspectives. However, most of the research articles on user engagement are focusing on the level of the engagement, with the scarcity of research on its impacts. Thus, the aim of this study is twofold: first, to revisit and determine the level of user engagement with the learning management system. Second, to determine the relationship between the perceived engagement and perceived performance. To find the answer for the purpose of the study, a quantitative research methodology was adopted using convenience sampling. The instrument was developed by adapting and adopting previous research instruments. The instrument was expert reviewed and a pilot test was performed before the actual data collection. Data collection took two weeks involving students in one of the public universities in Malaysia. A total of 206 valid responses were received. The data were analyzed using statistical package for social sciences version 26 for descriptive analysis and SmartPLS version 3.3. 3 for inferential analysis. Findings show that the current level of user engagement in using learning management system is moderate; perceived engagement has a predictive power on perceived performance; perceived engagement has a large effect size on perceived performance; and there is a moderate level of perceived performance among respondents.