Miracle-dz/UniFAR-FTUs huggingface dataset:
UME6 Is Involved in the Suppression of Basal Transcription of ABC Transporters and Drug Resistance in the ρ+ Cells of Saccharomyces cerevisiae

In Saccharomyces cerevisiae, the Rpd3L complex contains a histone deacetylase, Rpd3, and the DNA binding proteins, Ume6 and Ash1, and acts as a transcriptional repressor or activator. We previously showed that RPD3 and UME6 are required for the activation of PDR5, which encodes a major efflux pump, and pleiotropic drug resistance (PDR) in ρ0/− cells, which lack mitochondrial DNA. However, there are inconsistent reports regarding whether RPD3 and UME6 are required for Pdr5-mediated PDR in ρ+ cells with mitochondrial DNA. Since PDR5 expression or PDR in the ρ+ cells of the rpd3Δ and ume6Δ mutants have primarily been examined using fermentable media, mixed cultures of ρ+ and ρ0/− cells could be used. Therefore, we examined whether RPD3 and UME6 are required for basal and drug-induced PDR5 transcription and PDR in ρ+ cells using fermentable and nonfermentable media. UME6 suppresses the basal transcription levels of the ABC transporters, including PDR5, and drug resistance in ρ+ cells independent of the carbon source used in the growth medium. In contrast, RPD3 is required for drug resistance but did not interfere with the basal PDR5 mRNA levels. UME6 is also required for the cycloheximide-induced transcription of PDR5 in nonfermentable media but not in fermentable media.
An Analysis of Hate Speech Against K-Pop Idols and Their Fans on Instagram and Twitter from The Perspective of Pragmatics

Pragmatics is as a study of meaning conveyed by speakers or researchers and interpreted by listeners or readers. Social media itself is a means of communication that is easily accessed by anyone. Social media itself is a means of communication that is easily accessed by anyone. Everyone is free to reveal anything through their social media accounts. This study aims to describe the forms of hate speech including its illocutionary form found on Instagram and Twitter pages. Hate speech is contradicted to the concept of politeness in a language which is an indicator of linguistic elegance. Instagram and twitter are a social chain that aims to help account owners to share or upload photos to other users. This research used descriptive qualitative. Qualitative methodologies refer to research produces which produce descriptive data: people’s own written or spoken words and behaviours. The data were analysed by using interactive model Technique of Miles, Huberman and Saldana. The object of this study includes comments containing hate speech found on Instagram and Twitter pages. Based on the results of observations on Twitter and Instagram pages, it was found that some of the following data include hate speech aimed at several K-Pop idols and illocutionary comments. The results of the study indicate that 41 comments were indicated as hate speech in the form of insults, 4 comments on defamation, 6 comments on blasphemy, and 2 comments on provocation. Meanwhile, in regards to illocutionary comments, there are 12 assertive utterances, 3 directive utterances, 3 expressive utterances, and 3 declarative utterances.
The Association Between Physical Function and Hyperkyphosis in Older Females: Protocol for a Systematic Review

Identifying factors that impact physical function in older populations is important for the maintenance of good health with aging. Age-related hyperkyphosis, an excessive curvature in the thoracic spine, affects up to 40% of the older adults and is more common in older females than males. An association of age-related hyperkyphosis with impaired physical function has been reported in numerous studies, however, other studies have reported that a greater magnitude of kyphosis did not associate with impaired physical function. Given the inconsistencies regarding the impact of hyperkyphosis on physical function, the purpose of our study is to perform a systematic review of the existing studies in order to better describe the association between hyperkyphosis and physical function. Prospective and retrospective cohort, case-control, and cross-sectional studies which measure physical function by valid functional tests and questionnaires in older females will be included. We will search Scopus, ISI Web of Science, Cochrane Library, PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and PEDro databases. Studies will be searched and then selected by two independent reviewers based on quality assessment tools from the National Heart, Lung, and Blood Institute (NHLBI). A meta-analysis will be conducted if data reported for individual studies allow. Specifically, if two or more individual studies provide measures of central tendency and variability from any of the categories of physical function measures, data will be gathered for meta-analysis. If a meta-analysis is not possible, data will be synthesized and described in a narrative form by size and variability of effect, direction of effect, and association with hyperkyphosis.
Causes of Precocious Puberty in Children Referred to an Endocrine Clinic in Qazvin City, Iran From 2006 to 2018

Background: Puberty is an essential milestone in a person’s life. Studies show that precocious puberty is more common in girls than in boys. Objectives: The aim of this study was to survey the causes of precocious puberty in children referred to the endocrine clinic in Qazvin city, Iran, from 2006 to 2018. Methods: This case-series study was performed from March 2006 to June 2018 on patients referred to the endocrine clinic of Qazvin University of Medical Sciences, Qazvin City, Iran, for precocious puberty. To diagnose premature puberty and find its causes, we surveyed sex steroids levels, thyroid function, and, if necessary, performed GnRH test. The patients’ height and weight were measured, and their BMIs (Body Mass Index) were calculated. Uterine ultrasound was performed for all girls. Additionally, brain MRI was performed for all boys and girls under age 6 with precocious puberty. X-ray of the left hand was performed to assess skeletal growth acceleration. Based on the type of puberty, the patients were divided into three groups: Central Precocious Puberty (CPP), Peripheral Precocious Puberty (PPP), and normal variant of puberty. The study data were collected from patients› electronic files and analyzed using SPSS 23. Results: Out of 724 cases, 642 (88.70%) were girls. The mean age of all children was 7.07 (95%CI: 6.99-7.15) years. About 70.5% of cases had CPP, 5% PPP, and 24.5% normal variant of puberty. Cases of Idiopathic Precocious Puberty (IPP), PPP, Neurogenic Central Precocious Puberty (NCPP), and premature pubarche were significantly higher in girls than boys (P<0.001). None of the boys had NCPP. Most girls had normal BMI, but boys were more obese. Mean bone age and bone age/age ratio were higher in girls with NCPP (P<0.001). Conclusions: In our study, most girls and boys had idiopathic precocious puberty, and none of the boys had brain lesions. About half of the cases were overweight or obese, indicating the role of obesity in increasing bone age and the onset of puberty.
Highly reliable 10-W X/Ku-band pHEMT monolithic microwave integrated circuit power amplifier

In this study, a reliable 10 W high-power amplifier (HPA) is presented along with its design procedure. Implemented on a 0.25-μm InGaAs/AlGaAs/GaAs pseudomorphic high electron mobility transistor (pHEMT) process, the designed HPA achieves power added efficiency (PAE) of more than 33% across the 7.8–12.8 GHz band. The proposed two-stage PA provides 15 dB large signal gain with an average small-signal gain of 18 dB. Peak results are achieved at 12.2 GHz with 40.8 dBm output power and 44% PAE. The reliability of the designed HPA is studied in detail along with a thorough discussion of related concerns.
A framework for predicting and controlling system-level properties of agent-based models

An ABM is a computational model that simulates a complex system of many autonomous agents. For example, ABMs have been used to model food chains, the spread of disease, traffic situations and flocking animals. All of the behaviors in an ABM, from agentlevel local interactions to system-level behaviors, emerge from local interactions, which are governed by the individual agent programs. The behavior of each individual agent in an agent-based model (ABM) is typically well understood because the agents’ program has adjustable control parameters that directly modify its behaviors. However, users of ABMs do not typically have an explicit model of how the values of agent-level control parameters affect the observed system-level behavior of the ABM. Because of this lack of a model, the emergent behavior of an ABM is generally reduced to a repetitive process of guess-andcheck: select new agent-level parameter values and then observe and evaluate the result. That is, the controller of the system is forced to use the agent-level parameters, which only indirectly affect the system-level behavior. This dissertation presents a domain-independent approach for modeling how changes in agent-level control parameters affect the system as a whole, and for using this model to enable a user to predict and control the behavior of the system at the system level. The approach is implemented as a learning-based framework, named the ABM Meta-modeling Framework, for defining correlations between agent-level parameter values and quantitative system-level behavior. Regression methods such as k-nearest neighbor, locally weighted scatterplot smoothing, and nonlinear least squares are used to predict system-level property values, given the system configuration. The mappings from agent-configuration space to system-level behavior space are then inverted with a novel approach to produce inverted predictions that suggest system configurations, given desired system-level property values. The effectiveness and flexibility of the ABM Meta-modeling Framework are demonstrated with experiments from four diverse ABMs implemented in NetLogo, a popular multi-agent programmable modeling environment.
Evaluation of the nutritional value, mycochemicals, and antioxidant activities
of Hericium erinaceus cultivated using jasmine rice

Hericium erinaceus is a medicinal mushroom that has various health benefits. The cultivation of mushrooms with solid substrates was previously reported to improve their chemical compositions and bioactivities. The effect of the solid-state cultivation of H. erinaceus using jasmine rice media was evaluated with regard to the nutritional value, mycochemicals, and antioxidant activities of the cultivated products. White jasmine rice (R1) and a mixture of white and red jasmine rice (R2) were used as growth substrates for H. erinaceus . The products of their cultivation, such as rice-fermented mycelia (MR1 and MR2) and basidiomata (BR1 and BR2), were assessed to determine their nutritive contents, mycochemicals, and antioxidant activities compared to unfermented rice (R1 and R2) and commercial basidiome (BS). The nutritional values were measured quantitatively, while the mycochemicals were evaluated qualitatively. The antioxidant activity was measured using the level of DPPH scavenging activity. The results showed that H. erinaceus was successfully cultivated on jasmine rice media. The pH of the media was positively correlated with mycelia growth. The R2-fermented mycelium (MR2) product had higher protein levels (11.40 g/100g) compared to unfermented R2 (6.74 g/100g). Basidiome cultivated on R2 media (BR2) exhibited higher protein levels (15.06 g/100g) compared to commercial basidiome (BS) (10.45 g/100 g). The rice-fermented mycelia contained alkaloids, terpenoids, and saponins. The MR2 sample showed the highest level of antioxidant activity (IC 50 =1.26 mg/ml). These findings suggested that cultivation on jasmine rice enhanced the nutritional value and mycochemical compositions of H. erinaceus , with beneficial antioxidant activity.
Identification of D Modification Sites Using a Random Forest Model Based on Nucleotide Chemical Properties

Dihydrouridine (D) is an abundant post-transcriptional modification present in transfer RNA from eukaryotes, bacteria, and archaea. D has contributed to treatments for cancerous diseases. Therefore, the precise detection of D modification sites can enable further understanding of its functional roles. Traditional experimental techniques to identify D are laborious and time-consuming. In addition, there are few computational tools for such analysis. In this study, we utilized eleven sequence-derived feature extraction methods and implemented five popular machine algorithms to identify an optimal model. During data preprocessing, data were partitioned for training and testing. Oversampling was also adopted to reduce the effect of the imbalance between positive and negative samples. The best-performing model was obtained through a combination of random forest and nucleotide chemical property modeling. The optimized model presented high sensitivity and specificity values of 0.9688 and 0.9706 in independent tests, respectively. Our proposed model surpassed published tools in independent tests. Furthermore, a series of validations across several aspects was conducted in order to demonstrate the robustness and reliability of our model.
Synthesis and Potential Applications of Modified Xanthan Gum

Designing high-performance adsorbents for wastewater treatment and antibacterial materials for food and biomedical applications and excellent drug carrier to prolong time retention of the therapeutic drug based on biodegradable polymers has gained more interest in recent years. Among these materials, xanthan gum, which is a natural polysaccharide and plays a vital role in various applications such as industry, enhanced oil recovery, water-based paints, pharmaceuticals, and personal care products because it has excellent properties such as biodegradability and non-toxicity. On the other hand, it has many affected limitations, including microbially attack, poor thermal and mechanical stability, and low surface area. So, in this review, we focused on the advanced modifications on xanthan gum and their applications in wastewater treatment, protein delivery, and designing antimicrobial materials.
Raman analysis of epitaxial graphene on 6H-SiC (0001̄) substrates under low pressure environment

This article investigates the formation mechanism of epitaxial graphene on 6H-SiC (000) substrates under low pressure of 2 mbar environment. It is shown that the growth temperature dramatically affects the formation and quality of epitaxial graphene. The higher growing temperature is of great benefit to the quality of epitaxial graphene and also can reduce the impact of the substrate for graphene. By analyzing Raman data, we conclude that epitaxial graphene grown at 1600 °C has a turbostratic graphite structure. The test from scanning electron microscopy (SEM) indicates that the epitaxial graphene has a size of 10 μm. This research will provide a feasible route for fabricating larger size of epitaxial graphene on SiC substrate.
How offline backgrounds interact with digital capital

This article investigates the interaction between digital capital and some offline components (economic, cultural, political, social and personal) that represent the background against which we access and use the Internet. Based on a stratified sample of the UK population (868), six indexes (one for each component) were generated through factor analysis and univariate analysis. We summarised them into a unique model by performing a multiple linear regression to evaluate the role-played by offline components in the development/reinforcement of digital capital. The interaction between these new indexes and the digital capital index shows that, with the exception of the political component, all offline backgrounds positively contribute to digital capital. Moreover, the multiple regression analysis shows that the economic and social components have the strongest influence on digital capital.
Review of Composetia Hartmann-Schröder, 1985 (Annelida: Nereididae), with the establishment of two new similar genera

ABSTRACT Composetia Hartmann-Schröder, 1985 (Nereididae de Blainville, 1818), to which 51 species with broadly heterogeneous characteristics were previously assigned, is reviewed based upon the examination of the type material of the type species, C. costae (Grube, 1840), and seven other species. According to our designation of the lectotype of C. costae, a generic definition of Composetia is established, and taxonomic issues about C. costae are addressed. The current taxonomic status of several species similar to or previously synonymised with C. costae is re-evaluated. Based on the redefinition of Composetia, the taxonomic status of all species previously regarded as Composetia is reassessed. Consequently, three species are moved to two newly established genera based on their type material: Parasetia gen. nov., comprising the single species P. irritabilis (Webster, 1879) comb. nov.; and Potamonereis gen. nov., embracing P. kumensis (Sato, 2020) comb. nov. and P. tokashikiensis (Sato, 2020) comb. nov. Additionally, one species is redescribed and transferred to Leonnates, L. microcephala (Grube, 1878) comb. nov. Ten species currently remain in Composetia, and two of them, C. brasiliensis (McIntosh, 1885) and C. versipedata (Ehlers, 1887), are redescribed. Nereis articulata Ehlers, 1887, previously considered a member of Composetia, has a doubtful identity requiring further investigation. Although the generic placement of many of the remaining species is uncertain, we present our tentative re-evaluations for each of them. Keys are included for identifying all genera similar to Composetia, and for identifying all species within Composetia and Potamonereis gen. nov. https://urn:lsid:zoobank.org:pub:138C70C1-AD64-4D5E-BE0B-761474046715
System-level Pathfinding Flow for Three Dimensional Integrated Circuit

HU, JIANCHEN. System-level Pathfinding Flow for Three Dimensional Integrated Circuits. (Under the direction of Dr. W. Rhett Davis). The limited performance improvement of transistors in ultra-deep-submicron technologies is making it more difficult to achieve computing performance increases from scaling alone. Solutions to address this challenge come from combined system-level and physical-level optimizations. At the system-level, more complex on-chip systems are implemented by integrating various processing elements with interconnections to increase parallel processing capability without the need to push transistors to high operating frequencies or advanced technologies. At the physical-level, three dimensional integrated circuits (3D-ICs) increase chip density and reduce wire delay by stacking multiple ICs vertically with through-silicon-vias (TSVs). Both techniques enlarge the system design space by introducing more design parameters such as the number of processing elements and types, interconnection topologies, IC stacking schemes, and heterogeneous technologies. Furthermore, the design parameters at different levels of abstraction interact with each other, which necessitates a system-level “pathfinding” design flow to evaluate the design parameters fast at early design stage. However, most state-of-the-art pathfinding flows focus on the register-transfer and gate levels of abstraction for system modeling and are hard to integrate with tools that focus on the transaction and instruction levels. In this work, we present a electronic system-level (ESL) pathfinding flow that integrates transaction-level and physical-level evaluation by using ESL models and interfaces, allowing fast, physically aware system design evaluation. © Copyright 2014 Jianchen Hu All Rights Reserved System-level Pathfinding Flow for Three Dimensional Integrated Circuit
Environmental policies for the treatment of waste generated by COVID-19: Text mining review

The rapid transmission of COVID-19 has meant that all economic and human efforts have been focused on confronting it, ignoring environmental aspects whose consequences are causing adverse situations all over the planet. The saturation of the sanitary system and confinement measures have multiplied the waste generated, which implies the need to adapt environmental policies to this new situation caused by the pandemic. It is a review article whose objective was to identify the environmental policies that would facilitate an adequate treatment of the waste generated by the pandemic. It was proposed to analyse the current lines of research developed on this paradigm, applying the text mining methodology. A systematic review of 111 studies published in environmental journals indexed in the Web of Science was carried out. The results identified three areas of interest: knowledge of transmission routes, management of the massive generation of plastics and appropriate treatment of solid waste in extreme situations. Leaders are called upon to implement the contingency plans to sustainably alleviate the enormous waste burden caused by society’s adaptation to the restrictions imposed by the pandemic. Specifically, innovation aimed at achieving the reuse of medical products, the promotion of the circular economy and educational campaigns to promote clean environments should be encouraged.
The Current Status of Hazard Mitigation in Local Emergency Management: an Examination of Roles, Challenges, and Success Indicators

This dissertation used an organizational structure framework to examine the current status of hazard mitigation from the perspective of emergency managers from four organizational structure categories. This study addressed three primary research questions: (1) What is the role of the local emergency management office in hazard mitigation and what is the function of other stakeholders as perceived by local emergency managers? (2) What are the challenges to achieving hazard mitigation objectives and what are the strategies used to overcome them? and (3) How do local emergency managers define hazard mitigation success? Thirty North Central Texas emergency managers were recruited for participation in this study, and data was collected through telephone interviews and an internet survey. A mixed methodology was used to triangulate qualitative and quantitative findings. Qualitative analyses consisted of inductive grounded theory, and quantitative data analyses consisted of independent samples t-test analyses, correlation analyses, and Chi-square analyses. Findings indicate that emergency managers from the different emergency management office categories have six self-identified roles in hazard mitigation planning and strategy implementation; have a similar reported level of involvement in different hazard mitigation-related activities; and perceive stakeholders as having four key functions in hazard mitigation planning and strategy implementation. Second, participants describe five obstacles that are categorized as internal organizational challenges and two obstacles that are categorized as outside organizational challenges. The Disinterested Stakeholders Challenge is rated as a more significant obstacle by participants from the Non-Fire emergency management office category. Emergency managers describe the use of four strategies for overcoming hazard mitigation challenges, and the ability to master these strategies has implications for achieving hazard mitigation success. Third, emergency managers define a tangible and intangible category of hazard mitigation success, and each category is comprised of distinct indicators. Lastly, the organizational characteristics of emergency management offices had significant relationships with their reported level of involvement in select hazard mitigation activities; the rating assigned to select hazard mitigation challenges; and the rating assigned to select hazard mitigation success measures. For integrated emergency management offices, their parent agency is found to be an asset for achieving hazard mitigation objectives.