Miracle-dz/UniFAR-FTUs huggingface dataset:
ACPA-IgG variable domain glycosylation increases before the onset of rheumatoid arthritis and stabilizes thereafter; a cross-sectional study encompassing over 1500 samples

Objective The autoimmune response in rheumatoid arthritis (RA) is marked by anti-citrullinated protein antibodies (ACPA). A remarkable feature of ACPA-IgG is the abundant expression of N-linked glycans in the variable domain. Nonetheless, the presence of ACPA variable domain glycans (VDG) across disease stages and its’ response to therapy is poorly described. To understand its dynamics, we investigated the abundance of ACPA-IgG VDG in 1574 samples from individuals in different clinical disease stages. Methods Using liquid chromatography, we analyzed ACPA-IgG VDG profiles of 7 different cohorts from Japan, Canada, the Netherlands and Sweden. We assessed 184 healthy, 228 pre-symptomatic, 277 arthralgia, 305 patients at RA-onset and 117 RA-patients 4, 8 and 12 months after disease onset. Additionally, we measured VDG of 234 samples from RA-patients that did or did not achieve long-term drug-free remission (DFR) during up to 16 years follow-up. Results Our data show that ACPA-IgG VDG significantly increases (p<0.0001) towards disease-onset and associates with ACPA-levels and epitope spreading pre-diagnosis. A slight increase in VDG was observed in established RA and a moderate influence of treatment. Individuals who later achieved DFR displayed reduced ACPA-IgG VDG already at RA-onset. Conclusion The abundance of ACPA-IgG VDG rises towards RA-onset and correlates with maturation of the ACPA-response. Although, ACPA-IgG VDG levels are rather stable in established disease, a lower degree at RA-onset correlates with DFR. Even though the underlying biological mechanisms are still elusive, our data support the concept that VDG relates to an expansion of the ACPA-response pre-disease and contributes to disease-development.
HUMAN FACTORS DESIGN ISSUES FOR CRASH AVOIDANCE SYSTEMS

This paper begins with a discussion on different perspectives regarding motor vehicle crashes, including crash types, vehicle types causes of crashes, countermeasure actions, and system-safety concerns. It then discusses prospects for crash avoidance, with focus on crash types. Human factors issues and how they affect crash avoidance systems are discussed next. This is followed by a discussion on warning design principles. The paper concludes with a description of technologies and displays by crash avoidance type.
Experimental Study of Moist Exposed Burn Therapy/Moist Exposed Burn Ointment Combined with Zhuang Medicine Detoxification for Chronic Refractory Wound Healing

Background: This is still a public problem that needs to be solved urgently: chronic and refractory wound healing with long course and complex pathological mechanism. At present, there is still a lack of effective clinical treatment. This study, therefore, aims at exploring moist exposed burn thera-py/moist exposed burn ointment (MEBT/MEBO) combined with Zhuang medicine detoxification in the treatment of chronic refractory wound healing. Methodology: 100 SPF Wistar rats were randomly divided into blank control group, model control group, MEBO group, Zhuang medicine group and Combined group, with 20 rats in each group. Open wound model was established in blank control group, and chronic refractory wound model was established in other groups. Black control group and model control group were given food and water freely, MEBO group was given dressing change once a day, Zhuang medicine group was given intragastric administration once a day, and combined group was given dressing change and intragastric administration once a day. The effective rate of wound healing was observed after 12 days of continuous intervention. Conclusion: Skin regeneration medical technique combined with Zhuang medicine poison theory can effectively reduce the symptoms of bleeding and exudation, reduce the area of wound, shorten the healing time of wound, and achieve physiological healing of wound. It has a good effect on chronic refractory wound.
Characterization and population dynamics of Toluene-degrading bacteria in a contaminated freshwater stream

Two toluene degrading strains, T103 and T104, were independently isolated from rock surface biomass in a freshwater stream contaminated with toluene. The two strains exhibit different capacities for degradation of toluene and a range of aromatic compounds, and have major characteristics of the genus Mycobacterium. Both strains are aerobic, rod-shaped, Gram-positive, non-motile, acid-alcohol-fast, and produce yellow pigments. Their fatty acids include mainly straight-chain saturated and monounsaturated fatty acids with 10 to 20 carbon atoms, and large amounts of 10-methyloctadecanoic acid. Fatty acid analyses indicate that T103 and T104 are not identical strains but are related at the subspecies level. They have identical 16S rDNA sequences that are most similar to Mycobacterium aurum and Mycobacterium komossense, and they constitute a new species of fast-growing mycobacteria. Ecological studies reveal that toluene contamination within the stream has selectively enriched for toluene degrading bacteria in the epilithic microbial community, and indicate that strains T103 and T104 and other microorganisms are involved in the biodegradation. Within a library of 16S rDNA clones constructed from DNA from rock biofilms, a clone was found with a 16S rDNA sequence identical to that of strains T103 and T104.
Accurate position control for AC servo motor using novel speed estimator

In this paper, an accurate position control using a new estimator which estimates the instantaneous speed and position with a low precision shaft encoder is proposed. The overall performance of the position control system is strongly dependent on the accuracy of the position information and the performance of the speed controller in the low speed range. In this paper the position and speed of the motor are obtained from a Kalman filter which is an optimal full order estimator. This estimator has good performance even in a very low speed range include standstill. The simulation and experimental results confirm the validity of the proposed estimation and control technique.
Noise-resistant quantum communication using hyper-entanglement

Noise-resistant quantum communications using hyperentanglement Jin-Hun Kim,1 Yosep Kim,1 Dong-Gil Im,1 Chung-Hyun Lee,1 Jin-Woo Chae,1 Giuliano Scarcelli,2,3 AND Yoon-Ho Kim1,4 Department of Physics, PohangUniversity of Science and Technology (POSTECH), Pohang 37673, Republic of Korea Fischell Department of Bioengineering, University ofMaryland, College Park, Maryland 20742, USA e-mail: scarc@umd.edu e-mail: yoonho72@gmail.com
Rational and Emotional Advertising: A bibliometric Analysis (19902020)

This study analyzes trends in the scientific literature on the concepts of rational and emotional advertising. The article presents a bibliometric analysis of 96 studies on rational and emotional advertising, taken from the Web of Science database (WOS) for the period 1990-2020. The study categorizes these documents according to bibliographic indicators, i.e., most productive authors, year of publication, countries with the highest productivity rate, the journals and universities that published the most on this topic, language, type of research and field of research. This analysis provides an overview of the nature and trends of research on rational and emotional advertising. The results of the analysis reveal the research weakness for this concept, especially in terms of definitions and conceptualization. Also, the results highlight the fragmented nature of the themes addressed in the various research articles on rational and emotional advertising.
Presenting a Favorable Model for Implementing the Cultural Policies of the Higher Education System in Line with the Cultural Policies of the Islamic Republic of Iran

Higher education centers have become important social organizations that play a major role in the comprehensive and sustainable development of countries. The mission of universities as a learning organization has a great impact on micro and macro government decisions in the short and long term because the product of universities affects the knowledge, insight, characteristics and behavior of graduates as managers and current and future decision makers of the country. This research was conducted with the aim of presenting a favorable model for the implementation of cultural policies of the higher education system in line with the cultural policies of the Islamic Republic of Iran. Descriptive research method was used in this study. The statistical population of the study includes higher education staff in the southeastern provinces of the country. A questionnaire was used to collect data and SPSS software version 23 and AMOS version 23 software were used to analyze the data.
Total System Performance Assessment Code (TOSPAC): Volume 1, Physical and mathematical bases: Yucca Mountain Project

TOSPAC is a computer program designed to simulate water flow and transport of soluble waste materials along ground water pathways through fractures, porous rock formations similar to those at Yucca Mountain, Nevada, a candidate site for a high-level nuclear-waste repository. The physical models and simplifying assumptions used are described, along with their mathematical formulation and the numerical techniques used to implement them. Example problems demonstrating the capabilities of the code are presented. 64 refs., 101 figs., 9 tabs.
Transport maps for accelerated Bayesian computation

Bayesian inference provides a probabilistic framework for combining prior knowledge with mathematical models and observational data. Characterizing a Bayesian posterior probability distribution can be a computationally challenging undertaking, however, particularly when evaluations of the posterior density are expensive and when the posterior has complex non-Gaussian structure. This thesis addresses these challenges by developing new approaches for both exact and approximate posterior sampling. In particular, we make use of deterministic couplings between random variables—i.e., transport maps—to accelerate posterior exploration. Transport maps are deterministic transformations between (probability) measures. We introduce new algorithms that exploit these transformations as a fundamental tool for Bayesian inference. At the core of our approach is an efficient method for constructing transport maps using only samples of a target distribution, via the solution of a convex optimization problem. We first demonstrate the computational efficiency and accuracy of this method, exploring various parameterizations of the transport map, on target distributions of low-to-moderate dimension. Then we introduce an approach that composes sparsely parameterized transport maps with rotations of the parameter space, and demonstrate successful scaling to much higher dimensional target distributions. With these building blocks in place, we introduce three new posterior sampling algorithms. First is an adaptive Markov chain Monte Carlo (MCMC) algorithm that uses a transport map to define an efficient proposal mechanism. We prove that this algorithm is ergodic for the exact target distribution and demonstrate it on a range of parameter inference problems, showing multiple order-of-magnitude speedups over current stateof-the-art MCMC techniques, as measured by the number of effectively independent samples produced per model evaluation and per unit of wall clock time. Second, we introduce an algorithm for inference in large-scale inverse problems with multiscale structure. Multiscale structure is expressed as a conditional independence relationship that is naturally induced by many multiscale methods for the solution of partial differential equations, such as the multiscale finite element method (MsFEM). Our algorithm exploits the offline construction of transport maps that represent the joint distribution of coarse and fine-scale parameters. We evaluate the accuracy of our approach via comparison to single-scale MCMC on a 100-dimensional problem, then demonstrate the algorithm on an inverse problem from flow in porous
An Analytical Approach to Eccentricity in Axial Flux Permanent Magnet Synchronous Generators for Wind Turbines

Abstract Eccentric air-gaps occur very likely in wind generators as the turbines are subject to continued mechanical stresses. This article analyzes the effects of rotor eccentricity on axial flux permanent magnet machines’ performances, such as air-gap flux density, cogging torque, and unbalanced force. In modeling axial flux machines, three–dimensional finite-element method models are required for accurate calculations. However, three-dimensional finite-element analysis is usually time consuming. In order to have a quick evaluation of the axial flux machine performance suitable for online identification, an analytical approach that utilizes quasi three-dimensional computation is developed. The proposed method allows taking into account variation of tooth skewing and different magnet shapes. The results have been validated using two-dimensional and three-dimensional finite element computations. It is shown that by using the proposed analytical approach, it is possible to assess the performance of the axial flux permanent magnet generators under eccentricity with reasonable accuracy.
Plasma deposition for antimicrobial finishing of cellulosic textiles

Abstract In this study, ethylenediamine was deposited onto cotton fabrics with plasma technology under vacuum conditions with the aim to introduce nitrogen-containing groups onto the surface of cotton fabrics. Then, chlorine was introduced into the nitrogen-containing groups on the cotton fabrics in order to make it antimicrobial by chlorination with sodium hypochlorite solution. XPS, SEM, reflective spectrum were used to evaluate the surface properties, including the variation of groups and elements on cotton fabrics as well as the surface topography of the cotton fabrics after modification. The tearing strength, weight change and antimicrobial property of the modified fabric were also characterized. The results showed that plasma deposition with ethylenediamine under vacuum conditions introduces nitrogen-containing groups onto cotton fabrics, the fabrics inhibit bacteria, Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) after chlorination with sodium hypochlorite, and the antibacterial property is durable. Therefore, the plasma deposition with ethylenediamine for the antimicrobial finishing of cotton fabrics, as an environmentally friendly process, is a method worth investigating further.
Descripción morfométrica Trichomycteridae (Siluriformes) de las cuencas hidrográficas de la cordillera Chongón-Colonche, provincia de Santa Elena, Ecuador

La presencia de diferentes grupos de peces de agua dulce son el resultado de eventos de especiaciónen la costa ecuatoriana, esto debido a los factores geomorfológicos y variaciones climáticas. Lafamilia Trichomycteridae es un representante de este proceso evolutivo, sin embargo, existenescasos estudios. Este trabajo describió e identifico a los representantes de dicha familia en doscomunas en la cordillera Chongón - Colonche. Las especies identificadas fueron; 30 individuos paraTrichomycterus taenia para Dos Mangas y 34 individuos como Trichomycterus cf. taenia para LomaAlta, mediante regresiones lineales se determinó que las relaciones entre las variables analizadasevidenciaron una tendencia lineal con un coeficiente de correlación superior a R = 0.89. Losvalores de las pendientes (b) demostraron un crecimiento alométrico negativo (b<1) en todas lasregresiones. Se realizó un análisis de variación morfométrica donde se observó una disminución enlongitud y ancho de la cabeza en especímenes de la comuna Loma Alta, lo que se presume es quelos especímenes recolectados en Loma Alta podrían ser un morfotipo de Trichomycterus taenia.
Fighting falls with action research : a practice development project

Nurses espouse a caring ethic and demonstrate effectiveness in prevention of patient falls but are often observed taking risks with patients’ safety. These actions reflect poor congruence between espoused values and behaviours. Attitudes, values and involvement in decision-making are factors that influence work behaviours. Nurses’ attitudes are held to be a definitive factor in prevention work; however, few studies have focused on adherence with best practice principles of fall prevention. Yet nurses claim no authority to change their work. It was assumed that increased adherence would be achieved by improving nurses’ attitudes through participation in decision-making surrounding fall prevention practice. This study aimed to tes t this assumption by empowering nurses working in two medical wards with high numbers of patient falls to improve their ownership of practice by utilising critical social theory and action research. Nurses’ attitudes, including self-esteem, professional values and work satisfaction were established before and after a practice development project using action research. Mixed methods were employed by praxis groups meeting fortnightly for a year reflecting on, and re-engineering practice. Action research occurred in cycles focusing on assessment, communication, everyday work, and performance. Nurses’ work was re-organised to gain time to spend in prevention work. Patients’ environments were made safer and more patient-centred. New and effective ways of assessing risk to fall, communication of risk and monitoring nurses’ performance of prevention work were created and evaluated. Analysis demonstrated that nurses had good self-esteem and professional values but were not satisfied with their work. Self-esteem and professional values were unaffected by participation in work-related decisions however, nurses expressed increased sense of ownership, more satisfaction and were observed to engage in more prevention work. In conclusion, manipulation of attitudes and values is not warranted if attitudes and values are good. However, participation in work-related decision-making engages practitioners and leads to greater congruence between values and behaviour. The “unspoken rules” constraining practice that were exposed in the action research oblige nurses to assume authority, confronting and dispelling these constraints to enable more therapeutic care to emerge. Recommendations include promoting practice development as the preferred means for cultural change and improving person-centred care whilst recognising its fragile nature and dependence on clinical leadership.
Developing Evaluation Criteria for Competency-Based Curriculum in Medical Colleges

Background The present study was conducted to examine the operation status of the Competency-Based Curriculum (CBC), which has become the main curriculum in the medical schools in Korea, and prepare valid evaluation criteria consented by experts to make improvements. The evaluation criteria were derived based on a model built by combining the Context, Input, Process and Product (CIPP) evaluation model and the Kirkpatrick evaluation model, which are representative educational evaluation models. Methods Firstly, literature survey was performed and a semi-structured interview was conducted with 5 experts to develop a draft of the evaluation criteria. To verify the validity of the draft of the developed evaluation criteria, two surveys based on the modified Delphi methodology were conducted with a panel consisting of 20 experts. Results Based on the literature survey and the expert interview, a draft of the evaluation criteria was derived, including 5 evaluation areas, 18 evaluation items and 58 evaluation indicators. Two Delphi surveys were conducted to validate the evaluation criteria. The evaluation criteria that showed a relatively low content validity ratio (CVR) were corrected and complemented by reflecting the experts’ opinions to finally derive 5 evaluation areas, 16 evaluation items and 51 evaluation indicators. Conclusions The significance of the present study is that an evaluation model and its evaluation criteria suitable for the curriculums of the medical schools in Korea were developed with the consensus of the experts. The preparation of valid evaluation criteria will open up the possibility of improving the evaluation in medical schools, contributing to the improvement of the educational quality and the continued quality improvement of medical education.
Enabling Micro AI for Securing Edge Devices at Hardware Level

Emerging embedded systems and Internet-of-Things (IoT) devices, which account for a wide range of applications are often highly resource-constrained that are challenging the software-based methods traditionally adopted for detecting and containing cyber-attacks (e.g., malware) in general-purpose computing systems. In addition to the complexity and cost (computing and storage), the software-based detection methods mainly rely on the static signature analysis of the running programs, requiring continuous software update which is not affordable for embedded systems and edge devices with limited computing and communication bandwidth. To address these challenges, this work proposes an accurate and cost-efficient micro AI enabled countermeasure for securing modern edge devices against emerging cyber-attacks, i.e., malware and Side-Channel Attacks (SCAs) at the hardware level by monitoring applications’ Hardware Performance Counter (HPC) features. To realize a run-time ML-based solution that relies on limited available HPCs in modern edge processors, we first identify the most prominent HPC events for accurate attack detection with the aid of an effective feature selection method. Next, various standard machine learning classifiers are implemented for effective and accurate run-time hardware-assisted malware and side-channel attacks detection. They are compared and characterized in terms of detection accuracy, F-measure, robustness, latency, power consumption, and hardware overheads. Experimental results demonstrate that the J48 classifier achieves the highest detection rate (F-measure) for both malware and SCAs detection with 0.917 and 0.987, respectively, with relatively negligible latency and area overhead as compared to complex models making it a suitable algorithm for enabling an efficient hardware-assisted micro AI countermeasure in edge devices.
Integrative Bioinformatics Analysis Reveals That miR-524-5p/MEF2C Regulates Bone Metastasis in Prostate Cancer and Breast Cancer

Bone metastases are highly prevalent in patients with advanced prostate cancer and breast cancer and have a serious impact on the survival time and quality of life of these patients. It has been reported that microRNAs (miRNAs) are expressed abnormally in different types of cancer and metastases. However, it remains unknown whether the underlying miRNAs are associated with prostate and breast cancer bone metastasis. Differentially expressed miRNAs (DE-miRNAs) and their potential targets in the metastatic process were identified by bioinformatics analysis. Additionally, qPCR confirmed that the miR-524-5p expression was downregulated in prostate and breast cancer cells. The overexpression of miR-524-5p restrained cell proliferation, invasion, and metastasis in prostate and breast cancer cells. Meanwhile, miR-524-5p could target and inhibit the expression of MEF2C, which was verified by a luciferase assay. In conclusion, our data strongly suggest that downregulation of miR-524-5p appears to be a precocious event in prostate and breast cancer, and the miR-524-5p/MEF2C axis plays a novel role in bone metastases from prostate and breast cancers.