Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Anxiety and Depression on Bruxism Among Healthcare Workers During The Covid-19 Pandemic

Purpose: Coronavirus disease 2019 (COVID-19) is an emerging infectious disease of pandemic proportions. Healthcare professionals who treat COVID-19 patients are exposed to a high risk of infection and long work shifts to meet the country’s health needs. This situation can lead to prolonged exposure to stress. We aimed to evaluate the frequency of bruxism, anxiety and depression and their relationships with each other. Materials and Methods: Our study is a cross-sectional survey study conducted through online channels. Health care workers in Turkey who were caring for patients with COVID-19 were invited to participate with a self-administered questionnaire to evaluate the frequency of bruxism, Hospital Anxiety and Depression Scale that was analyzed as global scoring, anxiety and depression subscale in addition to information on demographic characteristics Results: Four hundred and twenty-one healthcare professionals were included in our study. The average age was 32.8 ± 7.06. Of the 263 people who did not have complaints before the pandemic process, 57 stated that they had suffered bruxism, and 32 stated that they had a sleep bruxism complaint at night for the first time. In anxiety and depression evaluations, women had significantly higher anxiety and depression scores compared to men (p<0.001). By profession, the highest anxiety (72.4%) and depression (63.8%) rates were in the auxiliary healthcare personnel. Conclusion: Working in pandemic affects health workers’ physical health as well as mentally like bruxism. It appears in parallel with the increase of anxiety and depression in Turkish health workers during pandemic.
A combined approach to evaluate activity and structure of soil microbial community in long-term heavy metals contaminated soils

In the present study, long-term heavy metals (HMs) contaminated soil samples from a well-known Pb/Zn smelting area in the southwest of China were collected, and physicochemical and biological characteristics of these samples were evaluated. Soil samples contained different concentrations of HMs, namely Pb, Zn, Cu, and Cd. Enzyme activity analyses combined with microcalorimetric analysis were used for soil microbial activity evaluation. Results showed that two soil samples, containing almost the highest concentrations of HMs, also shared the greatest microbial activities. Based on correlation coefficient analysis, high microbial activity in heavily HMs contaminated soil might be due to the high contents of soil organic matter and available phosphorus in these samples. High-throughput sequencing technique was used for microbial community structure analysis. High abundance of genera Sphingomonas and Thiobacillus were also observed in these two heavily contaminated soils, suggesting that bacteria belonging to these two genera might be further isolated from these contaminated soils and applied for future studies of HMs remediation. Results of present study would contribute to the evaluation of microbial communities and isolation of microbial resources to remediate HMs pollution.
The development of a three tier diagnostic test to identify misconception on food chain feeding relationships

This study was aimed to develop a Three-Tier Diagnostic Test instrument to identify students' alternative conceptions about Food Chain Feeding Relationships. This instrument was developed based on stages of development proposed by Treagust. This study involved 102 students of grade VII. There were 4 students included in the interview, 28 students answered the open-ended questions, and 70 students were involved in the implementation of instrument developed. The instrument items' content was then validated by five expert judgment. The analysis showed that the Content Validity Ratio and Content Validity Index value for nine items was 1, while an item acquired 0.6 value. This indicated that Food Chain Feeding Relationships Diagnostic Instrument (FCFRDI) is valid and feasible to be tested on students. The test result data were analyzed using the Rasch Model to determine the item fit and reliability. The difference between item reliability value and the person reliability demonstrated a significant result, which means that the instrument developed has good item quality. Overall, it can be concluded that the FCFRDI developed has met the content and empirical validity so that it can be used to identify students’ misconceptions.
Fast Universal Low Rank Representation

As well known, low rank representation method (LRR) has obtained promising performance for subspace clustering, and many LRR variants have been developed, which mainly solve the three problems existing in LRR: 1) Problem of mean calculation; 2) Problem of deviating from the real low rank solution; 3) Problem of high computation cost on the large-scale data. In this paper, we first propose a universal LRR method referring to the first two problems. More specifically, we introduce the ability of removing the optimal mean automatically into LRR and extend it to a Schatten $p$ -norm minimization problem. Then, referring to the third problem, we reformulate the universal LRR version as an equivalent fast optimization version by removing the null space of data. More importantly, the effective theory proof is proposed to guarantee that the fast optimization method can dramatically improve the algorithmic computation efficiency on the large-scale data but without any loss of information. Finally, experimental results demonstrate the effectiveness and efficiency of the proposed method.
Deep deformations of the upper stream of a low-pressure reservoir

The article presents the results of the analysis of the deep deformations of the Amu Darya riverbed in the upper reaches of the low-pressure reservoir. The analysis of the combined transverse profiles of the riverbed in different sections of the upper reaches of the Takhiatash reservoir showed that the coastal zones are most intensively silted up. At the same time, the core zone with the highest flow rates is very weakly declared. The height of the silting layer along the length of the upper stream increases in the direction of the dam. The silting area extends upstream for a length 2-3 times longer than the length of the soundings section, which is 17.5 km. To ensure the normal operation of the hydraulic system, it is recommended that conditions should be created for a normal and stable approach of the flow to the hydraulic system, which should be ensured by maneuvering the shield holes. To do this, it is necessary to create conditions for the erosion of the left-bank spillway by increasing the water flow through the extreme left-bank discharge holes. Flushing of the upper left-bank section of the river should continue until the optimal width of the leading channel is reached, which provides the main flow of the stream in front of the structure. It is proved that the formation and development of sediment deposits on the right bank between sections 8-10 leads to a change in the flow correction and creates conditions for the formation of shoals in front of the regulator of the Kizketken channel, which can complicate the operation of the water intake zone. Therefore, it is necessary to take measures to prevent the development of the right-bank channel, and the development of the channel should go from the main channel. As shown by monitoring operating mode Takhiatash waterworks, in the Takhiatash district waterworks intensive processes the channel formation, which has a strong influence on the operational mode of the dam, especially in the operation of the water intakes flushing of sediments, skip flood costs through the shields of the dam and the stability of structures.
Surface modification of carbonised waste rice husks by mild hydrothermal treatment

Carbonisation process is a way in exploiting rice husk to produce alternative carbon material. In this study, rice husk was carbonised at 500°C, 2 h in inert environment. Mild hydrothermal treatment of carbonised rice husk was conducted by using potassium hydroxide (KOH) and potassium persulfate (KPS) as reactants in different parameters: 1) the reactants molar ratio; 2) reaction time. The treated carbonised rice husks were tested for its dispersion, morphology observation, elements and functional groups determination. From the results, the modified carbonised rice husks showed improvement in its dispersion with polar solvent while no defects in the structures were observed from the SEM images. High oxygen content was found in EDX analysis for modified carbonised rice husks treated in KOH: KPS with molar ratio of 3:1. The presence of hydroxyl and carboxyl groups from the FTIR spectra shows that the treatment successfully introduced functional group to the carbonised rice husk surface.
Improvement of Channel Coding Gain of Chaos Modulation Using Logistic Maps

: A chaos modulation is a Gaussian modulation that achieves coding gains and physical layer securities. In the conventional method, a Bernoulli shift map, which is a chaos equation, is used for the modulation. However, the coding gain is limited to avoid an increase in the modulation complexity. In this paper, we propose a chaos modulation using a logistic map. Numerical results demonstrated that the proposed method increased the coding gain with the same amount of computation as that of the existing method.
A Systematic Review of Circulating Tumor Cells in Renal Cell Carcinoma

Introduction Renal cell carcinoma (RCC) is one of the most usual kidney’s tumors. The improvement of non-invasive biomarkers will make it feasible to investigate whose have high risk of recurrence after radical or partial nephrectomy and will expand the valuation of tumor response to several treatment strategies. In this perspective, liquid biopsy suggests a talented perception for cancer diagnosis and monitoring, with several benefits versus traditional RCC diagnostic processes and can be taken into account of the present RCC diagnosis and controlling strategies. Method In this systematic review, we considered both CTCs count and molecular markers in RCC patient management. A systematic search on several databases like PubMed, Scopus, Embase, and Web of Science was directed which led to the final 24 studies considering the impact of CTCs on both diagnosis and prognosis of RCC. Results Several primary studies consider the CTCs quantitation as the tumor representing components that are based on immunomagnetic separation procedure. The magnetic cell sorting (MACS) technique, cell search, Tapered-slit filter (photosensitive polymer-based microfilter), CELLection™ Dynabeads® coated with the monoclonal antibodies, and ISET® -Isolation by Size of Tumor cells. If CTCs wanted to be recruited for the prognosis of RCC and progression-free survival (PFS) it is better to check by gene expression profile through quantitative polymerase chain reaction analysis (Real Time-PCR) or in situ hybridization of CTC’s RNA molecules. Conclusions CTCs detection as the main liquid biopsy component has an excessive clinical impact on cancer management. Nevertheless, usual methods have some limitations when directing for the recognition of circulating tumor cells (CTCs) with high efficiency and low cost. Some CTCs molecular markers and gene expression profiling of CTCs should be considered for RCC prognosis.
Design and optimization of solar-assisted conveyer-belt dryer for biomass

Biomass, as a renewable source of energy, can be used in many industries to reduce their dependence on fossil fuels. However, due to the significantly high and varied moisture content of biomass, its use has several drawbacks, such as low total efficiency and process instability. Drying biomass before combustion or gasification can eliminate these drawbacks. Besides these benefits, there are several environmental advantages of removing moisture from organic materials before disposal. In this study, a solar-assisted conveyer-belt dryer was designed to remove moisture from biomass. Economic optimization was conducted under different economic conditions to find the optimum performance of the designed dryer. The results indicated that depending on the economic condition, drying biomass with the designed dryer costs between 4 and 7 cents per kilogram of biomass. Under optimum economic operation, the solar fraction is less than 6% in both scenarios. On the other hand, by ignoring economic constraints and reducing the dryer’s capacity, solar fraction increases to more than 55%, and in this case, the drying cost will be about 11 cents per kilogram of biomass.
Application of aluminum sulfate in the treatment of papermaking white water

Physical chemical methods were used to treat papermaking white water used to produce plant fiber mulch sheet that contained fine fibers and inorganic fillers as suspended solids. The ordinary chemical oxygen demand (CODCr) was obviously reduced after the papermaking white water was treated by the flocculant. By comparing three different coagulants (aluminum sulfate (Al2(SO4)3), poly-aluminum chloride (PAC), and poly(diallyldimethylammonium chloride) (PDADMAC)) and flocculant (poly-acrylamide copolymer (PAM)) to process papermaking white water, it was found that Al2(SO4)3 had the best coagulation effect and the lowest cost. The best flocculation conditions were 2,733 mg/L of Al2(SO4)3 and 4.52 mg/L of PAM to treat the papermaking white water. Under the best flocculation conditions, the CODCr was less than 300 mg/L. The goal of closed recycling and zero discharge of white water in the production process of plant fiber mulch sheet was realized.
Passification-Based Adaptive Control : Robustness Issues

Passivity is a widely used concept in Control Theory having lead to many significant results. Here we concentrate on one characteristic of passivity, namely passification-based adaptive control. This concept applies to MIMO systems for which exists a combination of outputs that renders the open-loop system hyperminimum-phase. Under such assumptions, the system may be passified by both high-gain static output-feedback and by a particular adaptive control algorithm. This last control law is modified here to guarantee its coefficients to be bounded. The contribution of the paper is to investigate its robustness with respect to parametric uncertainty. Time response characteristics are illustrated on examples including realistic situations with noisy output and saturated input. Theoretical results are formulated as Linear Matrix Inequalities and can hence be readily solved with Semi-Definite Programming solvers.
Genetic diversity of Pseudomonas syringae pv. syringae isolated from sweet cherry in southern and northern regions in Serbia

Bacterial canker and leaf spot caused by plant pathogenic bacterium Pseudomonas is among the most destructive cherry diseases worldwide. Nowadays in Serbia, sweet cherry production significantly increased and the new plantations, mainly grown from imported planting material are being raised every year. During spring, 2018 and 2019, occurrence of bacterial canker and leaf spot symptoms was observed on a newly planted sweet cherry plantations in two localities, Zitoradja (Southern region) and Karavukovo (Northern region-Vojvodina). Typical P. syringae colonies were isolated on Nutrient Sucrose Agar supplemented with 5% sucrose (NSA). A total of fifteen isolates were selected and identified. Results of the LOPAT test (+---+) determined them to belong to fluorescent Pseudomonas Group Ia, while results of G+A+T-Ta- tests indicate presence of Pseudomonas syringae pv. syringae. Pathogenicity was confirmed on immature sweet and sour cherry fruitlets by forming of black, sunken lesions for all tested isolates. Genes syrB and syrD were successfully detected in all tested isolates. DNA sequencing using gapA, gltA, gyrB and rpoD housekeeping genes determined tested isolates to belong to P. s. pv. syringae using the National Center for Biotechnology Information (NCBI) nucleotide BLAST. The Serbian isolates shared 99.47% to 100% (Zitoradja) and 99.38% to 100% (Karavukovo) identity with bacterium P. s. pv. syringae. Phylogenetic analysis grouped isolates from Zitoradja in one tree cluster, separate from the Karavukovo isolates, indicating presence of two genetically diverse groups of causal pathogen P. s. pv. syringae, obtained from two geographically distinct localities in Serbia. Phylogeographic analysis grouped isolates from Zitoradja in multilocus haplotype coded as REz and isolates originated from Karavukovo in multilocus haplotype coded as REk. Considering that during last few years P. syringae continuously occurs mainly in young sweet cherry plantations, where imported material is used for raising, health status check is recommended to be included as obligatory measure when nursery material is used from import.
Assessing Student’s Acceptance of Digital Transformation in Business and Management Universities in Vietnam

In recent years, the trend of digital transformation in education has increased significantly. A series of policies to promote the digital transformation of education have been issued, gradually completing the legal corridor such as the regulations on applying information technology, information in management, organization of online training, the use of the entire industry database system. Therefore, this article is the result of a more comprehensive research project and aims to analyze the digital transformation acceptance of college students in Economic - Business Universities in the North of Vietnam. The Unified Theory of Acceptance and Use of Technology (UTAUT) and independent variable Perceived Security (PS) have been combined together in order to support the survey. The data was analyzed using the method of multiple regression. These findings shed the light on the digital transformation acceptance level of students with the positive link of Performance Expectancy (PE), Social Influence (SI), Perceived Security (PS) and Facilitating Conditions (FC) on Behavioral Intention of digital transformation and its Use Behavior. Moreover, the study also has the contribution to provide orientations and solutions that will be proposed to approach the trend encouraging the application of digital transformation into higher education specifically in the business field. Keywords: UTAUT, digital transformation, perceived security, higher education DOI: 10.7176/JESD/12-8-02 Publication date: April 30 th 2021
Hack, Slash & Backstab: A Post-Mortem of University Game Development at Scale

This article describes the educational, operational, and practical implementation of an upper-division undergraduate studio-style course centered on the subject of game production. Specifically, the article addresses the course organization and processes, the institutional context for the course (i.e., its situated role in the larger curriculum), the overall structure of the course both from a pedagogical and operational point of view, and concludes with substantial reflection and analysis by the authors on what worked effectively and where improvements could be made. The article also provides substantial depth regarding the student experience, the structure of creating muti-disciplinary software development teams within the course, orienting the course around the successful production of a professional-grade XBOX One video game product, and various methods, structures and tools for course organization, communication, software development practice, documentation, etc. This in turn is framed in the larger context of the course as it was offered not only through an academic department, but in parallel with a campus-based games studio and research center. Numerous detailed elements are provided in such fashion as to provide other educators and mentors a relevant, structured, and detailed post-mortem of a large scale, multi-disciplinary effort that engaged students in complex multimedia software production in a professional context. In addition, several elements atypical from more traditional software project courses as they intersect game development including entertainment design, playtesting, marketing, press, public demonstration and performance, audience reception and analytics, commercial platform, etc., and discussed and analyzed. Andrew M. Phelps is a Professor at the University of Canterbury in the Human Interface Technology Laboratory New Zealand (HIT Lab NZ). He is also a Professor in the Film, Media, and Arts division of the School of Communication at American University in Washington, D.C., where he also holds a joint appointment as a Professor of Computer Science and is the director of the AU Game Lab. His work is broadly multi-disciplinary between design, computing, and the arts.
A Statistical Approach Towards Understanding the Contribution of Molecular Weight to Amino Acid Distribution in PDZ Protein Domain - eScholarship

Understanding the factors that govern protein folding and function is of necessary importance in protein design. At the core of this folding regime, position-specific amino acid distribution determines the propensities of the sequence towards particular secondary and tertiary structures. Several attempts have been made in understanding the key contributors that influence or at times dictate this position-specific distribution. To further elucidate these contributors, we have investigated the role of molecular weight in fixed configuration of the PDZ protein domain in position pairs that are within a certain spacial limit of one another. Furthermore, molecular weight-based site-specific distribution of amino acids in one of these pairs of meaningfully correlated positions fits a modified Boltzmann distribution. This tells us that for position pairs that are affected by molecular weight, under certain criteria, predictive models could be developed.
Generalized Orthogonal Matching Pursuit With Singular Value Decomposition

Matching pursuit (MP) is an algorithm that can represent signal sparsely, and this advantage makes MP popular in signal processing. However, MP algorithm is a greedy algorithm which means it cannot deal with a large family of signals like seismic data which becomes larger and larger with development of data acquisition technologies. Generalized orthogonal MP (GOMP) is an improved algorithm which helps to reduce the cost of the calculation greatly. Fast MP algorithm is a method that can build dynamic dictionary by making full use of the characteristics of the original signal. In this study, singular value decomposition (SVD) is involved into the GOMP algorithm with dynamic dictionary to improve its efficiency. Compared with conventional MP, the proposed method picks multiatoms at each iteration. It has advantage in calculation speed and can reconstruct the original signal more exactly. Synthetic and field data examples are utilized to demonstrate the feasibility, computational efficiency, and precision of the proposed method.