Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Analysis of the Mitochondrial Genome Sequences of two Medicinal Plants: Arctium Lappa and A. Tomentosum

Backguound: Mitochondrial genome sequence analysis is of great significance for understanding the evolution and genome structure of different plant species. Arctium lappa and A. tomentosum are distributed in China and frequently used as medicinal plants. People usually think A. tomentosum is an adulterant or substitute of A. lappa as a traditional Chinese Medicine (TCM). It is therefore critically important to identify the different species that are utilized in medicinal applications. This study aims to determine and compare their mitochondrial genomes, gene structure, and phylogenetic relationship. These results may provide additional insights into development of genetic research. Results: We determined the complete sequences of the mitochondrial genomes of A. lappa and A. tomentosum for the first time. The mitochondrial genomes of A. lappa and A. tomentosum were assembled into 2 single circular molecules of 312598 bp and 312609 bp, respectively. A total of 131 and 130 genes were annotated in two plants. 50 pairs of large repeat sequences were detected in A. lappa and A. tomentosum. The number of simple sequence repeats (SSRs) in both species was 192 while the total length of SSR was 2491 bp for A. lappa and 2489 bp for A. tomentosum. Only 51 single nucleotide polymorphisms (SNPs) and 3 insertion-deletions (InDels) were detected between the two plants. The two mitochondrial genome structures were highly similar and highly collinear. Both of the chloroplast genomes and mitochondrial genomes of the two plants had the phenomenon of gene exchange and transfer. Core genes and specific genes were analyzed for A. lappa and A. tomentosum and three closely related Asteraceae species, the specific gene of A. lappa was orf115a. In addition, a phylogenetic tree of the mitochondrial genomes were constructed, which laced the two Arctium species into one branch within Asteraceae. Conclusions: We identified and analyzed the mitochondrial genome features of two species of Arctium in China with implications for species identification and phylogenetic analysis. The mitochondrial genomes of A. lappa and A. tomentosum were very similar in size and structure. The ORF genes of the two were different, which could provide a theoretical basis for the development of molecular markers.
Determination of E. coli by a Graphene Oxide-Modified Quartz Crystal Microbalance

ABSTRACT A biosensor for the determination of Escherichia coli using graphene oxide on the crystal (gold) surface was fabricated by the drop cast method. The E. coli sensing characteristics of the biosensor, such as a change in frequency, were examined by exposing the graphene oxide-coated crystal to various functionalization steps at room temperature. Graphene oxide was functionalized by 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride–N-hydroxysuccinimide to covalently conjugate β-galactosidase antibodies to recognize microorganisms that produce this material. Frequency changes in the quartz crystal microbalance are dependent on the absorbed/desorbed masses of the analytes on the functional surface of the crystal. In addition, various characterization techniques were optimized for the morphological elemental analysis of the nanocoating that included field emission scanning electron microscopy, scanning electron microscopy, and electron diffraction spectroscopy. This surface was used in a quartz crystal microbalance nanoplatform for the rapid, sensitive, and label-free detection of E. coli. Under optimal conditions, the frequency of quartz crystal microbalance biosensor was directly proportional to the concentration of antigen with a dynamic range from 0.5 mg mL−1 to 5 ng mL−1 and a minimum detection limit of 5 ng mL−1, and a sensitivity of 0.037 Hz g ml−1 cm−1. These results show that the graphene oxide-coated crystal had excellent performance for E. coli. This research reports a simple, inexpensive, and effective highly stable biosensor using graphene oxide as the sensing medium.
A Study on Hydrodynamic Forces Induced by Liquid Tank of Lng Carrier in Waves Based on Experiment and Recurrent Neural Network

The sloshing of liquid in a partially filled tank is of great concern to aerospace vehicles, road vehicles and ships due to complex nonlinear motion involving the free surface of the liquid. Sloshing is a type of violent liquid motion that is created by forces such as an impact and breaking waves. Oscillation of the liquid in the vessel may threaten navigation safety. This paper attempts to predict the hydrodynamic forces induced by the motion of liquid inside a tank based on experiment and Recurrent Neural Network (RNN). The experiment of sloshing test is carried out using the Stewart platform at Changwon National University (CWNU). The motions of the LNG carrier are inputted into the Stewart platform, then the hydrodynamic forces induced by the liquid in the tank are analyzed. Then, an RNN is used to model the complex dynamics of the sloshing load in the liquid tank and the RNN predictions are compared with the experimental results. This new approach, which offers robust modeling of the complex dynamics of a sloshing load in an LNG carrier, can be applied to simulate the ship maneuvering in waves.
Predicting Job Self-Efficacy Based on Critical Thinking and Dynamic Personality in Employees working at School of Dentistry of Shiraz University of Medical Sciences

Introduction: This study aimed to predict job self-efficacy based on critical thinking and dynamic personality. The present study was a descriptive correlational study. The statistical population of this study includes all employees of the morning shift at Shiraz Dental School. Methods: The statistical sample of this study includes 80 employees who were selected by random clustering. To collect data to test research hypotheses, the SARJI Occupational Self-Efficacy Scale, Ritex Critical Thinking, and the dynamic personality of Batman and Krant were used. Cronbach's alpha coefficient was also reported to evaluate the reliability of the questionnaire. Pearson correlation test and multiple regression analysis were used for data analysis by means of Statistical Package for Social Sciences (SPSS) package. Results: The results showed that dynamic personality and critical thinking have a significant relationship with job self-efficacy. Also, the results of multiple regression analysis showed that dynamic personality and critical thinking significantly predict job self-efficacy in employees. Conclusion: This finding has important implications for training and promoting the employees’ mental health.
Phenotypic and Molecular Characterisation of Silicon Uptake and Deposition in Festuca arundinacea

Silicon (Si) is taken up from the soil as monosilicilic acid by plant roots, transported to leaves and deposited as phytoliths, amorphous silica (SiO2) bodies, which are a key component of anti-herbivore defense in grasses. Silicon transporters have been identified in important crop species such as rice and barley, but the mechanisms behind the transport of Si remain poorly characterised in many non-crop grasses. Specifically, the extent to which Si uptake and deposition is driven by Si transporter expression remains disputed. Induction of Si defenses in response to herbivory suggests plants exhibit control over Si uptake and distribution. This thesis investigated the effects of wounding and Si addition on foliar Si concentration and deposition, and on Si transporter gene expression, in different genotypes of the economically important forage grass Festuca arundinacea, which exhibits variation in Si uptake and deposition. Following Si addition and damage, varieties differed in Si concentration, the numbers of leaf spines, and in the magnitude of the increase in Si uptake induced by damage. Some previous studies suggest trade-offs may exist between Si and carbon, but thus far such potential trade-offs have not been investigated intra-specifically, nor have there been any tests of the existence of trade-offs between different types of Si-based defenses. Trade-offs between leaf spines and phytoliths, and between Si and the key structural component, lignin, were found. This thesis presents novel findings on how Si defenses are mobilised in response to damage, how they are regulated at the level of gene expression, and how Si is deposited in different structures on the leaf surface and within cells. These findings have implications for improved understanding of plant defense and for the targeted selection of traits during breeding for sustainable crop protection.
Treatment Outcomes in Breast Lymphoma in a Pakistani Population: 20 Years of Experience at a Single Center

Breast lymphoma is a rare disease entity (Wiseman and Liao., 1972). According to Wiseman and Liao, breast lymphomas are classified as primary when the following criteria are met: (1) patients have adequate tissue sample for histology, (2) close anatomical proximity of breast tissue and lymphomas, (3) the disease is confined to breast and the same side of axilla with no evidence of distant spread, and (4) there is no prior extra mammary lymphoma. Primary breast lymphoma (PBL) is a form of Non-Hodgkin’s lymphoma (NHL), representing less than 1% of NHL cases and accounts for 1.7% to 2% of extra nodal forms of NHLs (Schouten et al.,1981; Validire et al., 2009). Right sided predominance has been described by some studies (Vardar et al., 2005; Ryan et al., 2008). Diffuse large B cell lymphoma (DLBCL) is the most common histological subtype while mucosa-associated lymphoid tissue (MALT) lymphomas are a rare form of PBL (Jennings et al., 2007). Breast lymphomas are extremely rare among males (Murata et al., 1996). Clinical
Determination of brain injury biomarkers by surface-enhanced Raman scattering using hollow gold nanospheres

The development of rapid, highly sensitive detection methods for neuron-specific enolase (NSE) and S100-β protein is very important as the levels of NSE and S100-β protein in the blood are closely related to brain injury. Therefore, we can use NSE and S100-β protein concentration detection to realize the preliminary judgment of brain injury. In this paper, we report that a simple label-free three dimensional hierarchical plasmonic nano-architecture has been designed for the sensitive surface-enhanced Raman scattering immunosensor detection of NSE and S100-β. Owing to the active group of the hollow gold nanospheres (HAuNPs), the redox molecules 4-mercaptobenzoic acid (4-MBA) and Nile blue A (NBA) absorb antibodies and provide signal generation. The prepared HAuNPs@4-MBA and HAuNPs@NBA are used as probes to easily construct a surface-enhanced Raman scattering immunosensor. When protein biomarkers are present, the sandwich nanoparticles are captured over the substrate, forming a confined plasmonic field, leading to an enhanced electromagnetic field in intensity and in space. As a result, the Raman reporter molecules are exposed to a high density of “hot spots”, which remarkably amplify the Raman signal, improving the sensitivity of the surface-enhanced Raman scattering immunosensor. Under the optimized conditions, the linear range of the proposed immunosensor is from 0.2 to 22 ng mL−1 for both NSE and S100-β. The lowest detectable concentration is 0.1 and 0.06 ng mL−1 for NSE and S100-β, respectively. The assay results for serum samples with the proposed method were in a good agreement with the standard enzyme-linked immunosorbent assay method. The proposed immunosensor is promising in clinical diagnosis. This method, which utilizes the surface-enhanced Raman scattering of HAuNPs, has great potential in the detection of biomarkers, which are vital in medical diagnoses and disease monitoring.
Cat Tracks – Tracking Wildlife through Crowdsourcing using Firebase

Many mountain lions are killed in the state of California every year from roadkill. To reduce these numbers, it is important that a system be built to track where these mountain lions have been around. One such system could be built using the platform-as-a-service, Firebase. Firebase is a platform service that collects and manages data that comes in through a mobile application. For the development of cross-platform mobile applications, Flutter is used as a toolkit for developers for both iOS and Android. This entire system, Cat Tracks is proposed as a crowdsource platform to track wildlife, with the current focus on California mountain lions. By building such a system, researchers could use the data to save the lives of many mountain lions.
Optimized chloroquine phosphate dosage regimens for early virological clearance of severe acute respiratory syndrome coronavirus 2 using Monte Carlo simulation

Chloroquine (CQ) exhibited promising in vitro activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the optimal dosage regimens remain unknown Our objective was to explore the optimal chloroquine phosphate (CQP) dosage regimens for early achievement of virological clearance within 48-72 hours to diminish in-hospital transmission to front-line healthcare workers A 10,000-subject Monte Carlo simulation was performed to calculate both probability of efficacy and safety attainment (PTA) using pharmacokinetic (PK) parameters obtained from the published population PK study Dosage regimens that early achieved PTA of efficacy (PTAeff ) ≥90% within 48-72 hours, while maintained PTA of toxicity (PTAtox) ≤1% were considered optimal For the previously proposed regimens in published guidelines and clinical studies, all dosage regimens could not achieve ≥90% PTAeff, except one with the highest dosage regimen Our simulations suggested that large amount of loading dose was required for the early achievement We designed three dosage regimens containing high loading dose (2-3 gram per day), which early achieved ≥90% PTAeff within 48-72 hours, while also maintained ≤1% PTAtox throughout the treatment course Further clinical studies are needed to prove the efficacy and safety of our designed regimens [ABSTRACT FROM AUTHOR] Copyright of Pharmaceutical Sciences Asia is the property of Mahidol University, Faculty of Pharmacy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )
Multi-exposure image fusion based on recursive filter

Multi-exposure image fusion technology is to fuse images of the same scene with different exposures into a high-quality image that contains more scene information. This paper proposes a multi-exposure image fusion method based on a recursive filter. The method first calculates three characteristic indicators of the multi-exposure image sequence: image contrast, entropy, and exposure information. And use three characteristic indicators to estimate the initial image fusion. In order to obtain a more accurate weight map for image fusion, a recursive filter is used to refine the weight map. Finally, the weighted sum method is used to construct the fused image. The experimental results show that the fusion results obtained by the algorithm in this paper have high image clarity, better subjective visual fusion effects and objective performance indicators, and maintain a high computational efficiency.
Associated factors with negative health perception and quality of life of Brazilian older adults

The purpose of this study was to analyze the factors associated with negative Health Perception and Quality of Life (QoL) of older adults. This was a cross-sectional study composed of 224 older adults with a median age of 70.58±6.43 years old. A questionnaire was designed to incorporate ABEP (socioeconomic questionnaire), WHOQOL-BREF, IPAQ, and Senior Fitness Test (SFT). Binary logistic regression with p>0.05, organized in univariate and multivariate models in SPSS version 22. Variables upper extremities poor flexibility OR = 2.43 (1.37 – 4.31) and lower extremities poor flexibility OR = 2.69 (1.54 – 4.69) were significantly associated with negative health perception. Being not financial responsible OR= 0.33 (0.12 – 0.85) presented lower odds of negative QoL perception. The variable Lower extremities poor flexibility univariate OR= 2.52 (1.45 – 4.39) and multivariate model OR= 2.42 (1.38 – 4.24) showed almost three times higher probabilities of negative QoL perception.
Distribución potencial de Euphorbia antisyphilitica Zucc. en México

Knowing the distribution of species concerning biotic and abiotic conditions allows us to identify the possible responses of species to changes due to abiotic factors using the concept of the ecological niche and to identify the geographic distribution of important species subject to commercial exploitation such as Euphorbia antisyphilitica Zucc. The current study aimed to identify bioclimatic variables that determine the distribution of E. antisyphilitica populations and to estimate the potential distribution in arid zones of Mexico using the methods Maxent and Bioclim. Bioclimatic data from areas of the presence of E. antisyphilitica were processed with Bioclim of Diva-Gis 7.5®, and with the maximum entropy method with Maxent® 3.4. 1. Temperature and precipitation requirements were analyzed by comparing bioclimatic variables, predicting distribution modeling, and geographic output. Precipitation variables influence more than temperature variables on the distribution of E. antisyphilitica, in a precipitation range of 200 to 500 mm. Modeling and geographic output performed with Maxent had better quality than those carried out with Diva-Gis® Bioclim. The annual precipitation variable determines more the conditions for the distribution of E. antisyphilitica than temperature variables.
The Learning Analysis of the Political Text: Structure and Functions of the Election Address (on the Example of G. Zyuganov’s Speeches)

Good number of researchers have demonstrated the need for online training for faculty members in various countries around the world in recent years. However, most of these academic researchers have discussed the different effects of the online training system. The study deals with the genre structure and formation of a special type of the political text which is an election address of a political leader to the electorate. The article considers the history of the appearance of the public speech genre in Russian political discourse, its functions and linguistic features that solve the problem of revealing the main ideological content at the lexical level. The paper also focuses on the techniques used in this authorial text. They are examined from the perspective of identifying manipulative strategies and tactics of influencing the emotional, rational, and moral-ethical spheres of the electorate, and their implementation at the language level. The research material was the texts of Gennady Zyuganov’s election addresses in 2000 and 2019 taken from the Internet sources, as well as the accompanying comments estimated to be about 50 sources. To increase the degree of objectivity of the results obtained, machine text processing (SEO-type text processing programs, vaal.ru, wordstat.yandex and others) was also used. In the course of the study the linguistic characteristics of the implementations of the political address functions (influence, inspiration, advocacy and propaganda, informing), typical of this type of political statements, are revealed along with the established dynamics of changes in rhetoric by Gennady Zyuganov as the leader of a political party (the Communist Party) and its leading representative.
Deep Learning for Autonomous Car Driving

Deep neural networks, especially Convolutional Neural Networks (CNN) are now widely used for solving computer visions problems. One such problem of huge interest today is autonomous car navigation. In this project, we experimented with various deep neural networks to autonomously drive a car inside a simulator provided by Udacity. In this paper, we ﬁrst implemented CNN for the autonomous driving task and analyzed its performance.Then, we implement CNN with Long Short Term Memory (LSTM) network to enable the model to make better decisions with some context present in its memory about the decisions it made in the recent past. We also experimented with a deep reinforcement learning model by trying to get the autonomous driving system to learn steering using policy gradient.
Role of Olive leaves Zinc Oxide Nanoparticles in Alleviating The Molecular and Histological Changes of Kidney in Female Goats-Induced by Gentamicin (Part III)

This study aimed to investigate the protective influence of olive leave extract zinc oxide nanoparticles (OLEZnONPs) complex against gentamicin – induced kidney dysfunctions in goats. Twenty five adult female goats were randomly divided into five equal groups and treated as follows: control group (C) administered sterile distilled water (IM) for 10 days, group G administered 25 mg/kg BW gentamicin (IM) for 7 days, group Z administered 10 µg/kg BW of OLEZnONPs (IP) for 3 days, group GTZ administered 25 mg/kg BW gentamicin (IM) for 7 days and then 10 µg/kg BW of OLEZnONPs (IP) for 3 days, group GWZ administered 25 mg/kg BW gentamicin (IM) and 10 µg/kg BW of OLEZnONPs (IP) together for first 3 days and then followed by gentamicin only for 4 days. After seven days of the experiment, the gene expression of kidney injury molcule-1(KIM-1) and neutrophil gelatinase-association lipocalin (NGAL) gene expression of kidney tissue were measured. In addition, samples of kidney were obtained for histopathological examination. Gentamicin medication induced a marked elevation in kidney tissue KIM-1 and NGAL gene expression in G and GTZ groups compared to control and other groups. Intraperitoneal treatment of goats with OLEZnONPs did not significantly affect NGAL and KIM-1 gene expression in Z, GWZ, and control groups. Histologically, in contrast to control, gentamicin induced more extensive kidney damages such as necrotized glomeruli, atrophic glomeruli, and renal tubular epithelial necrosis, while it was found that these alterations in kidney tissues were improved in goats given OLEZnONPs with gentamicin compared to group G. In conclusion, our results demonstrate that OLEZnONPs reduce the deleterious effects of gentamicin with significantly decreasing of KIM-1 and NGAL gene expression and remodeling the histological changes of kidney in goats.
Synthesis and characterization poly(ϵ-caprolactone-b-ethylene glycol-b-ϵ-caprolactone) ABA type block copolymers via “Click” chemistry and ring-opening polymerization

ABSTRACT Synthesis of poly(ϵ-caprolactone-b-ethylene glycol-b-ϵ-caprolactone) ABA type block copolymer by “click” chemistry and ring-opening polymerization (ROP) was reported by using propargyl polyethylene glycol (propargyl-PEG) and terminally azido poly(ϵ-caprolactone) ester (PCL-N3). For this purpose, primarily propargyl-PEG was synthesized by using reaction of PEGs (3000 Da, 2000 Da, 1500 Da, 1000 Da, 600 Da ve 400 Da) and propargyl chloride. 3-azido-1-propanol was obtained by using chemical interaction of 3-chloro-1-propanol and sodium azide. Synthesis of PCL-N3 was carried out by means of ROP of ϵ-caprolactone and 3-azido-1-propanol. Finally, poly(ϵ-caprolactone-b-ethylene glycol-b-ϵ-caprolactone) ABA type block copolymers were synthesized by using PCL-N3 and propargyl-PEG. The primary parameters such as concentration, time, and temperature that influenced the reactions were assessed. The product characterization was achieved using NMR, FT-IR, GPC, elemental analysis, and fractional precipitation [non-solvent (petroleum ether-mL)/solvent (THF-mL)] techniques.