Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation and Identification of Aroma-producing Yeast from Mackerel Fermentation Broth and Its Fermentation Characteristics

ABSTRACT In order to obtain microbial starter cultures for aroma enhancement of fish sauce, aroma-producing yeasts from mackerel fermentation broth were isolated, screened and identified by morphological characterization and ITS rDNA sequence analysis. The results showed that seven yeast strains were isolated, of which six strains were Lodderomyces elongisporus and one was Wickerhamomyces anomalus. The volatile compounds of mackerel enzymatic hydrolysate fermented by the yeasts were analyzed by headspace solid phase micro extraction and gas chromatography coupled with mass spectrometry (HS-SPME/GC-MS). The results indicated that the main volatile compounds were aldehydes, ketones, alcohols, esters, hydrocarbons, acids and heterocycles in the fermentation broths, rendering the special aroma and flavor of fish sauce. In addition, the growth assay, salt tolerance and temperature resistance of the two yeast strains were determined, which was found that the strains exhibited excellent salt tolerance and temperature resistance. For the first time, Wickerhamomyces anomalus and Lodderomyces elongisporus were separated from the aquatic products, exhibiting enormous potential in the application of the aroma-enhancing for fish sauce.
Theoretical Studies of the Stability and Oxidation of Pdn (n = 1–7) Clusters on Rutile TiO2(110): Adsorption on the Stoichiometric Surface

First principles theoretical studies of the atomic and electronic structure of Pdn (n = 1–7) clusters supported on a TiO2(110) surface, and O2 activation by such clusters, have been carried out within a gradient corrected density functional approach. It is shown that the supported Pdn cluster geometries are driven by competing effects including intracluster interactions favoring compact geometries and cluster–support interactions that favor geometries that flatten out in the TiO2(110) surface channel. When exposed to O2, a single Pd atom only activates the O–O bond while all other clusters energetically favor a broken O–O bond. The differing behavior of Pd atom is proposed to originate from the minimal amount of charge transferred from Pd to O2 and its spin excitation energy that also result in its observed lack of reactivity in experiments on CO oxidation. Our studies on PdnO clusters indicate an inverse correlation between the O binding strength to the cluster and the cluster’s surface stability, which .
Can any of the most used phase locked loop circuits be considered as the universal?

This paper aims to highlight the drawbacks of the most common phase locked loop (PLL) circuits to operate as universal PLLs. The phase locked loop tracks the phase of an input signal. These devices are necessary in different disciplines for which the input signal conditions are very different. In fact, they are used in synchronization to the grid waveforms, in the communications applications as frequency modulation or amplitude modulation, and in the measurement of the motors speed, among others. For each discipline, a different group of PLLs is used. Among all of them, the most appropriate to be used in several disciplines seems to be the designed to synchronize the grid. So, they are the chosen to be studied and test their behavior in different applications to find out the PLL which is useful in any application and which achieves to track the phase/frequency signal whose value is initially unknown. I. e. the universal PLL, useful in all the considered applications.
Single‐frequency ultrasonic extraction of bioactive chlorogenic acid from heilong48 soybean variety: Parametric optimization and comprehensive evaluation of physicochemical and bioactive properties

Abstract Chlorogenic acid (CA), especially that found in soybean, is a rich bioactive compound but has received very little attention in research settings in past decades. Ultrasonic‐assisted extraction (UAE) could be an efficient method to increase CA release from soybean. Hence, this study aimed to optimize UAE parameters for CA extraction from heilong48 soybean (HS) variety with comprehensive physicochemical and bioactive properties evaluation. Optimization of ultrasound parameters with Box‐Behnken design (BBD) found frequency (20.0 kHz), power density (30.0 W/L), temperature (37.9℃), and time (28.0 min) as the significant optimized parameters, which gave CA yield of 5.007 ± 0.033 mg/g and DPPH of 93.197 ± 0.213 μmol AA eq/g dry sample and were higher than that of nonultrasound‐treated (raw) HS sample (CA yield, 1.627 ± 0.528 mg/g, and DPPH, 10.760 ± 0.207 μmol AA eq/g dry sample). A satisfactory model was obtained. SEM results confirmed the structural alterations of HS variety caused by the optimized UAE parameters. High TPC (4.726 ± 0.002 mg GAE/g), TPA (1.883 ± 0.005 mg GAE/g), and low TFC (0.040 ± 0.008 mg RE/g) were obtained. A positive linear correlation between antioxidant activity and TPC was established. Protein–phenolic interaction in HS variety was observed. The results proposed that polyphenols should be considered as a significant component of HS variety. Likewise, HS variety could be utilized for CA extraction.
Potential Phytochemical Inhibitor from Allium cepa for the Medication of COVID-19 using In-Silico Approach

Infection of extreme acute respiratory syndrome coronavirus 2 triggers Coronavirus disease 2019 (COVID-19). COVID-19 has adverse consequences on persons and is getting worse in all nations. The aim of this research is to investigate the development of in-silico approach of phytochemical inhibitor used to fight COVID-19 pathway inhibition. In medicinal plants, there are many phytochemicals, however the bioactive mechanism remains uncertain. In-silico experiments offer additional evidence to confirm the inhibition of medicinal plants. Molecular docking was used to evaluate phytoconstituents from Allium cepa as COVID-19 M-pro inhibitor, compared to remdesivir (standard drug). STITCH database used to predict the interaction network process of the most potential compound. The most potential compound was oleanolic acid. Oleanolic acid with a docking score of -9.20 kcal/mol was reported as anti-COVID-19 activity. This docking score was higher than remdesivir. Oleanolic acid interacted with GLU166, CYS44, HIS41, and THR25 via the hydrogen bond. From STITCH Database, oleanolic acid interact with CASP-9, XIAP, CASP-3 signalling pathway. Oleanolic acid from Allium cepa has been reported as a possible COVID-19 M-pro inhibitor and should be studied in future studies. The experiment indicates that phytochemical inhibitor can be helpful in the medication of COVID-19.
Evaluation of the cutting ability of two reciprocating instruments (WaveOne Gold e W-file)

Instrumentation is a fundamental step in endodontic treatment to promote proper cleaning and shaping of the canal. The objective of this study was to compare the cutting capacity of two reciprocal nickel-titanium systems in simulated canal blocks. Sixty acrylic blocks were used, divided into two groups of reciprocal files (WaveOne Gold - WOG and W-File - WF), each with 30 blocks and divided into 3 groups (n=10) representing the first, second and third uses: WOG1, WOG2, WOG3, WF1, WF2, and WF3, respectively. Ink was injected into the simulated channels, which were covered with laminated paper to avoid affecting the instrumentation. For irrigation, 5mL of saline was used at each instrument change. At the end of instrumentation, the blocks were photographed and analyzed in a computer program to compare the results before and after instrumentation. In the statistical analysis, the tests S Shapiro-Wilk, T for independent samples and Mann Whitney were performed. Under the experimental conditions in which this study was conducted, it is concluded that there were no significant differences in apical transport after the third application. However, the instruments of the W-File group had more conservative preparations with a better centralization capacity compared to the instruments of the WaveOne Gold group, which caused preparations with a larger diameter.
Pathways to Financial Success: An Empirical Examination of Perceived Financial Well-Being Based on Financial Coping Behaviors

The current study empirically tests a financial well-being (FWB) model built on financial socialization (FS) and early childhood consumer experience (ECCE). The current study was conducted based on primary data obtained through structured questionnaires. By using a convenient sampling technique, data were collected from 1,500 respondents from Pakistan. Results advocated that childhood experiences directly affect the FWB in adults. In addition, FS agents, such as parents, have direct and indirect effects on the FWB in adults. Findings revealed that financial coping behaviors mediate the relationship among FS agents, such as parents, students, and the FWB. Surprisingly, FS agent peers do not impact adult FWBs. The study concluded that FWB could be improved by socializing with parents and teachers and using childhood experiences. Considering the importance of the role of parents and teachers, they should discuss financial issues with children. Policymakers should work to provide some opportunities for children so that they can practice and gain experience.
State of Charge Estimation of Lithium-ion Battery Using Deep Convolutional Stacked Bidirectional LSTM

State of Charge (SOC) estimation is critical for battery management systems (BMSs) to the safe and reliable operation, which nowadays is becoming more widely employed in Electric Vehicles (EV), smart grid systems, etc. In this study, a new method is introduced to conduct accurate SOC estimation for Li-ion batteries by applying a convolutional deep learning method. First, we convert battery signals into multi-channel images. By using images, a two-dimensional convolutional neural network (CNN) model is used to extract the features automatically without any need for expert knowledge and human interaction. Second, a stacked bidirectional long short-term memory (SBLSTM) is an estimator which catches the backward and forward temporal dependencies of battery sequential states. The proposed method works efficiently on estimating the SOC with online features extraction. On public battery dataset exposed to dynamic loading profiles, the SBLSTM network is assessed. Validation with an experimental dataset reveals that by taking into consideration the bidirectional dependencies of battery measurement data and sequential data, at various ambient temperatures, this approach can precisely estimate the SOC.
Translation, Cultural Adaptation, Validity, and Internal Consistency of the Greek Version of the Individual Workload Perceptions Scale-Revised

Introduction: The working environment in hospitals has been characterized as very important for the improvement of the provided care and the nurses’ job satisfaction. The aim of the current study was translation and cultural adaptation of the Individual Workload Perceptions Scale-Revised (IWPS-R) as well as the investigation of the validity and internal consistency of the scale. Methods: This is a cross-sectional, descriptive study involving 365 Greek nurses from two large hospitals in Athens, Greece. Nurses completed the Individual Workload Perceptions Scale-Revised, which is a self-administered questionnaire consisting of 29 items on a five-point Likert-type scale. For the translation, the scale was first translated into the Greek language (forward translation) and then into the English language (backward translation) and culturally adapted. For the study of the construct validity, exploratory and confirmatory factor analyses were performed, while the criterion of the convergent validity was between the five factors of the scale. To study the reliability, the method of test-retest was performed while Cronbach’s alpha coefficient was used to study the internal consistency of the scale. Data analysis was performed via the Statistical Package for the Social Sciences (SPSS), version 21.0 (IBM Corp., Armonk, NY). Results: According to the exploratory factor analysis, the Greek version of the Individual Workload Perceptions Scale-Revised consists of five factors (Manager Support, Peer Support, Unit Support, Workload, and Intent to Stay) explaining 51.4% of the total variance. From the confirmatory factor analysis, the model was equivalent to the original factorial structure of the IWPS-R. Τhe convergent validity revealed a positive correlation between all the domains of the scale (p < 0.001). The test-retest method showed that there are no significant differences between the first and the second measurements (intraclass correlation coefficient [ICC] = 0.990, p < 0.001). The internal consistency was very good (Cronbach’s alpha coefficient = 0.878). Conclusions: The IWPS-R is a reliable and valid instrument for Greek nurses to measure the perceptions of the nursing working environment.
Allocating Costly Influence in Legislatures

Committee seats endow holders with both policy influence and labor obligation. These benefits and costs present the organizational majority with an interesting choice: how many seats should it allocate to the opposition? We present a theoretical framework for understanding the allocation of committee seats by the majority coalition that incorporates both procedural and electoral concerns in the decision calculus and predict that when the majority is strong, the minority will be overrepresented on committees, but when the majority is weak, the minority will be underrepresented. Mechanistic, institutional, and contextual moderators to this choice framework are also discussed. We test our predictions by examining original data on the composition of over 2,000 committees across 98 American state and federal legislative chambers. The analysis yields strong support for our central predictions while suggesting interesting and intuitive contextual constraints on the majority’s tendency to exploit its position.
Vegetation associations of the endangered Fountain Darter Etheostoma fonticola

: Aquatic vegetation provides many services for aquatic habitats and fish communities. The federally listed fountain darter Etheostoma fonticola , found only in spring systems of the San Marcos and Comal rivers in central Texas, is reported to associate with vegetation for feeding, reproduction, and refuge. Descriptions of associations with vegetation range from preferred to exclusive, whereas other studies describe fountain darters found outside of vegetation. The pur-poses of this study were to quantify fountain darter occurrences and abundances among vegetated habitats using the concept of obligate and facultative habitat use. Wadeable and non-wade-able habitats among multiple reaches of the San Marcos and Comal rivers were sampled with seines and SCUBA diving methods in the spring and fall from 2014 to 2019. Fountain darters were often associated with aquatic vegetation but demonstrated both obligate and facultative tendencies. Fountain darters occurred in vegetation more than expected among wadeable and non-wadeable habitats in the majority of reaches within the San Marcos and Comal rivers. Among vegetation taxa, they were positively associated with bryophytes and negatively associated with Texas wild rice, but associations with other vegetation taxa varied by river and were possibly influenced by other variables. Current vegetation management in both rivers includes the re moval of non-native species and restoration of native vegetation, so understanding the patterns of fountain darter associations with vegetation can guide future management and restoration efforts of these spring systems.
Invariant neural subspaces maintained by feedback modulation

Sensory systems reliably process incoming stimuli in spite of changes in context. Most recent models accredit this context invariance to an extraction of increasingly complex sensory features in hierarchical feedforward networks. Here, we study how context-invariant representations can be established by feedback rather than feedforward processing. We show that feedforward neural networks modulated by feedback can dynamically generate invariant sensory representations. The required feedback can be implemented as a slow and spatially diffuse gain modulation. The invariance is not present on the level of individual neurons, but emerges only on the population level. Mechanistically, the feedback modulation dynamically reorients the manifold of neural activity and thereby maintains an invariant neural subspace in spite of contextual variations. Our results highlight the importance of population-level analyses for understanding the role of feedback in flexible sensory processing.
Effect of Temperatures, Humidity and Population Density on the Spreading of Covid-19 at 70 Cities/Provinces

The main goal of this article is to demonstrate the impact of environmental data on the spreading of Covid-19. In this research, data has been collected from 70 cities/provinces that are affected by Covid-19. Here, environmental data refers to temperatures, humidity and population density in each of these cities/provinces. This data has been analyzed using statistical models such as Poisson, Quasi-Poisson and negative Binomial. It is found that a negative Binomial regression model is the best fit for our data. Our results reveal that average high temperature is the vital factor to slow down the spread of Covid-19. In addition, higher population density found to be an important factor for the quick spreading of Covid-19 where it is quite impossible to maintain the social distance and the virus can spread easily.
Comprehensive Evaluation Method of High-Rise Building Green Construction Based on Cloud Model

With resource conservation, environmental protection and people’s health being valued by the whole society, high-rise building green construction has become an irresistible trend. For accurate evaluation of high-rise building green construction assessment level, considering the fuzziness and randomness, green construction assessment based on the perspective of construction general contracting unit, through literature research and the influence factors of in-situ investigation to determine the influence of green construction, using the PSR theory constructing evaluation index system of green construction, adopt AHP, entropy weight method to calculate the combination weight of index system. Finally, the transformation between qualitative and quantitative was realized by using cloud model, and the comprehensive evaluation level was established by drawing comprehensive cloud map and calculating membership degree. Combined with a municipal representative project, the green construction evaluation simulation calculation, the calculation results show that the project green construction evaluation grade is good, feedback of the results to the general contractor has been generally recognized.
TNF-α Plus IL-1β Induces Opposite Regulation of Cx43 Hemichannels and Gap Junctions in Mesangial Cells through a RhoA/ROCK-Dependent Pathway

Connexin 43 (Cx43) is expressed in kidney tissue where it forms hemichannels and gap junction channels. However, the possible functional relationship between these membrane channels and their role in damaged renal cells remains unknown. Here, analysis of ethidium uptake and thiobarbituric acid reactive species revealed that treatment with TNF-α plus IL-1β increases Cx43 hemichannel activity and oxidative stress in MES-13 cells (a cell line derived from mesangial cells), and in primary mesangial cells. The latter was also accompanied by a reduction in gap junctional communication, whereas Western blotting assays showed a progressive increase in phosphorylated MYPT (a target of RhoA/ROCK) and Cx43 upon TNF-α/IL-1β treatment. Additionally, inhibition of RhoA/ROCK strongly antagonized the TNF-α/IL-1β-induced activation of Cx43 hemichannels and reduction in gap junctional coupling. We propose that activation of Cx43 hemichannels and inhibition of cell–cell coupling during pro-inflammatory conditions could contribute to oxidative stress and damage of mesangial cells via the RhoA/ROCK pathway.
Modeling and Control of Two-mass Resonant System Based on Element Description Method

This paper introduces a semi-automatic modeling and controller design method of vibration system based on an element description method. Generally, the controller of a vibration system is designed by approximating the control target to a multi-mass resonant system. In this study, the vibration system is semi-automatically approximated to a two-mass resonant system by the element description method. After that, the controller is semi-automatically derived based on the approximation. The results of modeling and control generation by the element description method have clear physical meanings and can be explicit knowledge. Experiments with beams and weights confirm the validity of this design framework. From the experimental results, it is confirmed that the controller of the resonant ratio control is automatically generated, and the controller capable of interpreting the physical meaning can be automatically generated by the element description method.
Epidemiology of reading disability: A comparison of DSM-5 and ICD-11 criteria

ABSTRACT The present study performed a systematic comparison of DSM-5 and ICD-11 diagnostic criteria for reading disability. We quantitatively investigated the consequences of using DSM-5 or ICD-11, and of the different ways of implementing each diagnostic criterion on the prevalence of reading disability. We did so in a representative sample of the population of French sixth-graders (N = 25,000), using a reading comprehension test to assess reading ability. A compromise set of criteria and thresholds yielded a prevalence of 6.6% according to DSM-5 and 3.5% according to ICD-11. Factors that had the greatest influence on prevalence estimates were the criteria relative to IQ and to interference with academic performance. Compared with the reference population, children with reading disability were more likely to be boys (sex ratio≈1.6), to be schooled in a disadvantaged area (OR≈2.1), and to have lower SES (d≈-0.7), non-verbal IQ (d≈-0.4 – -0.9), and math scores (d≈-1.4). Our results emphasize that the choice of classification and the operationalization of diagnostic criteria have a large impact on who is diagnosed with reading disability.
WHATSAPP AS A LEARNING TOOL DURING COVID -19 PANDEMIC: ADVANTAGES AND DISADVANTAGES

This present study explores the advantages and disadvantages of WhatsApp (WA) as a learning tool during Covid-19 pandemic. WA is a messaging application that can be installed on smartphones and has many useful features. Researchers are interested in researching since many students and lecturers choose WA as an application for continuous learning while one knows that many applications are actually intended for learning. The design of this research was a mix method (quantitative and qualitative). This research involved 168 respondents as a sample. The instrument of this research was an open-ended questionnaire. To analyze the questionnaire, the researchers used the data analysis based on Miles, Huberman, & Saldana (2014). Three steps were applied: data condensation, data display, and drawing & verifying conclusion. The study concludes that most of the respondents believed that WA has more advantages than disadvantages. The advantages include it is effective and easy to use; the features are helpful, save internet quota, very light, easy to do communication, easy to observe the students. The disadvantages, however, is easy for the students to cheat, old chats are easily piled up by the new chats, the upload size is limited, and member capacity in the group is limited.