Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrotransformation of the human pathogenic fungus Scedosporium proli¢cans mediated by repetitive rDNA sequences

The regions encoding the 5.8S rRNA and the flanking internal transcribed spacers (ITSI and ITSII) from two isolates of the human pathogenic fungus Scedosporium prolificans and one isolate of the taxonomically related species Pseudallescheria boydii ( S. apiospermum ) were sequenced. The sequences of the two S. prolificans isolates were identical. However, there were minor differences between both species. Phylogenetic analysis of known fungal sequences confirmed a close relationship between S. prolificans and P. boydii . An attempt was made to transform S. prolificans by electroporation using a plasmid vector, pMLF2, bearing the Escherichia coli hygromycin B phosphotransferase gene ( hph ) under the control of Aspergillus nidulans promoter and terminator sequences. To increase transformation efficiency, the sequenced ribosomal cluster of S. prolificans was used to construct a new vector for homologous recombination. (cid:223) 1999 Federation of European Microbiological Societies. Published by Elsevier Science B.V. All rights reserved.
LncRNA SNHG12 promotes proliferation and migration of vascular smooth muscle cells via targeting miR-766-5p/ EIF5A

Background Although lncRNAs have reported to serve as potential biomarkers of atherosclerosis (AS), the role of lncRNA SNHG12 in AS are still unknown. Methods In present study, we investigated the regulatory effects of SNHG12 on human vascular smooth muscle cells (hVSMCs). RT-qPCR were employed to determine the expressions of SNHG12, miR-766-5p and eukaryotic translation initiation factor 5A (EIF5A). Cell viability was estimated via the Cell Counting Kit-8 assay. Wound healing and Transwell invasion assays were used for evaluation of hVSMCs migratory capacity. To further investigate the regulatory mechanisms, binding sites between SNHG12 and miR-766-5p, EIF5A and miR-766-5p were speculated via starBase V2.0, and validated using luciferase reporter gene assay. Results It was identified that SNHG12 was up-regulated in oxidized low-density lipoprotein (ox-LDL)-insulted hVSMCs. Silencing SNHG12 inhibited ox-LDL-induced proliferation and migration of hVSMCs. Moreover, we found that SNHG12 acted as a sponge of miR-766-5p, and miR-766-5p also interacted with EIF5A. EIF5A plasmids promoted the proliferation and migratory capacities of hVSMCs, however, shRNA-SNHG12 counteracted the facilitation of EIF5A plasmids on biological behaviors of hVSMCs. Conclusions These findings of this study demonstrated that SNHG12 facilitated the migration and invasion of hVSMCs via targeting miR-766-5p/EIF5A axis.
THE EFFICIENCY OF MAJOR INDUSTRIAL ENTERPRISES IN SICHUAN PROVINCE OF CHINA: A SUPER SLACKS-BASED MEASURE ANALYSIS

The main objective of this research is to measure the eﬃciency of 397 major industrial enterprises in Sichuan province of China in 2013.To this end, we employed DEA super slacks-based measure (Super-SBM) model for performance evaluation of 397 major manufacturing ﬁrms. The empirical results show that 21 of the 397 enterprises operate eﬃciently, and the average eﬃciency score of the analyzed enterprises is only 0.15. The enterprise with the highest eﬃciency score is 96.15% higher than the average score, which is the benchmark enterprise of operational eﬃciency. Among the selected sample enterprises, 5.29% of the industrial enterprises are highly eﬃcient in operation. It was also noticed that the average eﬃciency score of pharmaceutical ﬁrms was the highest among all industrial ﬁrms with a mean score of 0.75, which is 80% higher than the overall average score of all industries. While the average eﬃciency of manufacturing of chemical raw materials and chemical products was the lowest with a mean score of 0.39. Results of sensitivity analysis show that proﬁt has a great impact on the eﬃciency score of special equipment manufacturing ﬁrms, but a relatively weak impact on the ﬁrms which manufacture computers, communications, and other electronic equipment. The eﬀect of export delivery value on eﬃciency score is not obvious.
The Transposable Elements of the Drosophila serrata Reference Panel

Transposableelements(TEs)areanimportantcomponentofthecomplexgenomicecosystem.Understandingthetempoand mode of TE proliferation, that is whether it is in maintained in transposition selection balance, or is induced periodically by environmental stress or other factors, is important for understanding the evolution of organismal genomes through time. Although TEs have been characterized in individuals or limited samples, a true understanding of the population genetics of TEs, and therefore the tempo and mode of transposition, is still lacking. Here, we characterize the TE landscape in an important model Drosophila , Drosophila serrata using the D. serrata reference panel, which is comprised of 102 sequenced inbred genotypes. We annotate the families of TEs in the D.serrata genomeandinvestigatevariationinTEcopynumberbetweengenotypes. WeﬁndthatmanyTEshavelowcopynumberin thepopulation,butthisvariesbyfamilyandincludesasingleTEmakingupto50% ofthegenomecontentofTEs. Weﬁndthatsome TEs proliferate in particular genotypes compared with population levels. In addition, we characterize variation in each TE family allowing copy number to vary in each genotype and ﬁnd that some TEs have diversiﬁed very little between individuals suggesting recent spread. TEs are important sources of spontaneous mutations in Drosophila, making up a large fraction of the total number of mutations in particular genotypes. Understanding the dynamics of TEs within populations will be an important step toward char-acterizing the origin of variation within and between species.
Swarm Optimization in Text Mining

— Text Mining is considered as one of the widely used data mining topic which allows users to derive informative data from datasets and sort those data. Text classification, retrieval and also summarization are the important functions of text mining. In order to classify the text one of the most significant step is feature selection in the dataset are needful for classification. Feature selection often helps in increasing the classification accuracy by eliminating the noise features thus decreasing the complexity and also the running time. This paper presents an approach that uses particle swarm optimization (PSO) for obtaining better classification accuracy by using the four filter ranking methods which removes the irrelevant features to compose the final feature subset. The algorithm uses Reuters 21578 dataset for processing the results. The experimental results show that the proposed method can reduce the dimensionality and improve the further classification .
Developing Career Self-Efﬁcacy of Researchers in Human-Centered Computing through Scholarship Support (Experience)

In 2014, an American land-grant research university in the South began a new cycle of the National Science Foundation (NSF) Scholarships in Science, Technology, Engineering, and Mathematics (S–STEM) grant entitled the Human-Centered Computing Scholars (HCCS): Fostering a New Generation of Underrepresented and Financially Disadvantaged Researchers. This project was a continuation of NSF Grant No. 1060545, which supported students at this university, originally funded in 2011. The HCCS program sought to advance doctoral students’ career self–efficacy by financial support, offering opportunities for students to participate in career-based advising sessions, professional development, and other work-related experiences, informed by Gardner (2006) that suggests that doctoral students pass through three phases (entry, candidacy, and completion) as they matriculate through their programs. The model employed acknowledges that both supportive and challenging experiences are present at each phase and can positively or negatively influence doctoral student outcomes. Thus, the HCCS program includes critical learning opportunities within each phase of their studies which are presented in this work.
MiceRequired for Processing of Cathepsin L in Is for Class II MHC Antigen Presentation but Asparagine Endopeptidase Is Not Essential

Class II MHC molecules survey the endocytic compartments of APCs and present antigenic peptides to CD4 T cells. In this context, lysosomal proteases are essential not only for the generation of antigenic peptides but also for proteolysis of the invariant chain to allow the maturation of class II MHC molecules. Recent studies with protease inhibitors have implicated the asparagine endopeptidase (AEP) in class II MHC-restricted Ag presentation. We now report that AEP-deﬁcient mice show no differences in processing of the invariant chain or maturation of class II MHC products compared with wild-type mice. In the absence of AEP, presentation to primary T cells of OVA and myelin oligodendrocyte glycoprotein, two Ags that contain asparagine residues within or in proximity to the relevant epitopes was unimpaired. Cathepsin (Cat) L, a lysosomal cysteine protease essential for the development to CD4 and NK T cells, fails to be processed into its mature two-chain form in AEP-deﬁcient cells. Despite this, the numbers of CD4 and NK T cells are normal, showing that the single-chain form of Cat L is sufﬁcient for its function in vivo. We conclude that AEP is essential for processing of Cat L but not for class II MHC-restricted Ag presentation. The Journal of Immunology, 2005, 174: 7066–7074.
Title: Microglia monitor and protect neuronal function via specialized somatic purinergic junctions Short title: Microglia control neurons at somatic junctions

Authors: Csaba Cserép†, Balázs Pósfai†, Nikolett Lénárt, Rebeka Fekete, Zsófia I. László, Zsolt Lele, Barbara Orsolits, Gábor Molnár, Steffanie Heindl, Anett D. Schwarcz, Katinka Ujvári, Zsuzsanna Környei, Krisztina Tóth, Eszter Szabadits, Beáta Sperlágh, Mária Baranyi, László Csiba, Tibor Hortobágyi, Zsófia Maglóczky, Bernadett Martinecz, Gábor Szabó, Ferenc Erdélyi, Róbert Szipőcs, Michael M. Tamkun11, Benno Gesierich4, Marco Duering4,13, István Katona2, Arthur Liesz4,13, Gábor Tamás, Ádám Dénes*
A Flask based Application for Recommending the Similar Kind of Dresses

The growth of online social networks and the amount of information shared through it are immense in the recent years. It provides information in all fields such as education, sports, fashion, etc and also updates us with all the latest news that is happening around the world. Some of the popular social media sites are Facebook, Twitter, Instagram and it has become a platform for people to easily communicate and share information. Nowadays business people use social media as their means for communication. Fashion industry is one of the businesses which frequently changes and the social media is considered to be as the cheapest and easiest means to communicate. Hence an application is created which obtains the photos of the user from their facebook account and suggests the similar kind of dresses based on their collection of dresses.
Coronary Computed Tomography Angiography-Adapted Leaman Score can Predict New-Onset Atrial Fibrillation in Patient with Low-to-Moderate Risk for Coronary Artery Disease

Objective: Atrial fibrillation (AF) and coronary artery disease (CAD) are interrelated clinical conditions which increase mortality and morbidity globally. Coronary computed tomography angiography adapted Leaman score (CT-LeSc) is an important tool for CAD detection. Herein we report clinical impact of CT-LeSc on prediction of new-onset AF (NOAF) occurence in patients with low-to- intermediate risk for CAD. Methods: We retrospectively analysed 1394 patients who underwent coronary computed tomography angiography (CCTA) for the detection of CAD. CT-LeSc was calculated for each patient. NOAF occurence following CCTA was obtained from medical records. Univariate and multivariate Cox regression analysis was used to determine the role of CT-LeSc in NOAF prediction. Results: The mean age of the patients was 52.7±11.8 and 676 patients (48.5%) were male. NOAF occured in 22 patients (1.57%) during a median follow up of 828 (525-1227) days. Multivariate Cox regression analysis revealed that CT-LeSc (OR = 1.131, 95% CI: 1.020–1.255; P = 0.002), was the strongest independent variable for the development of NOAF. Conclusion: CT-LeSc independently predicts development of NOAF in low-to- intermediate risk patients undergoing CCTA for the assessment of stable CAD. determination of long-term prognosis (21). To the best of our knowledge, the effects of the CT-LeSc on development of the NOAF have not been investigated. In this study, many parameters that would be related to development of the AF were evaluated with univariate and multivariate analyses. Among those parameters, the CT-LeSc was proven to be the strongest independent parameter to predict the NOAF. more holistic approach, as it evaluates the localization and of along with the severity of the stenosis. It is known that non-calcified and mixed plaques are associated with low-grade vascular inflammation and more common in acute coronary syndrome (22). The ability of CT-LeSc to evaluate non-calcified and mixed plaques may offer superiority to other scoring systems. Besides low-grade chronic inflammation is held responsible for the pathogenesis of the AF (23). Indeed, cell infiltration is demonstrated in the atrial of AF patients. The similar inflammatory process responsible for each condition can make stable patients more prone to AF.
In uence of cement-augmented pedicle screws with different volumes of polymethylmethacrylate in osteoporotic lumbar vertebrae over the adjacent segments: A 3D nite element analysis

Hui-zhi Guo Guangzhou University of Chinese Medicine Shun-cong Zhang Guangzhou University of Chinese Medicine Dan-qing Guo Guangzhou University of Chinese Medicine Yan-huai Ma Guangzhou University of Chinese Medicine Kai yuan Guangzhou University of Chinese Medicine Yong-xian Li Guangzhou University of Chinese Medicine Jian-cheng Peng Guangzhou University of Chinese Medicine Jing-lan Li Guangzhou University of Chinese Medicine De Liang Guangzhou University of Chinese Medicine Yong-chao Tang (  1114930308@qq.com ) Guangzhou University of Chinese Medicine https://orcid.org/0000-0001-9569-0611
Target Density Normalization for Markov Chain Monte Carlo Algorithms

Techniques for evaluating the normalization integral of the target density for Markov Chain Monte Carlo algorithms are described and tested numerically. It is assumed that the Markov Chain algorithm has converged to the target distribution and produced a set of samples from the density. These are used to evaluate sample mean, harmonic mean and Laplace algorithms for the calculation of the integral of the target density. A clear preference for the sample mean algorithm applied to a reduced support region is found, and guidelines are given for implementation.
Aerobic transformations of organic matters in sewer wastewater, a case study of Milan, Italy

Abstract Today, we know that not only the sewers carry urban wastewater, but also act as chemical and biological reactors, in which both organic and inorganic substances undergo significant transformations. This article describes a study on the western part of the sewer system of the city of Milan. The hydraulic model of the sewer system was coupled with the chemical and dynamic biological model to assess the extent of the degradation of organic matter in the network. The hydraulic and biological models were calibrated with real data obtained at the entrance of the wastewater treatment plant (WWTP) ‘Milan South’ and assuming standard values of daily per capita loads of COD and BOD5.
Mammalian Cells Important for the Activity of HOXB7 in Identification of Novel Functional Regions

2 Members of the HOX family of homeobox transcription factors play a role in pattern formation in diverse developmental systems. The clearly documented role of HOX genes in the proliferation and differentiation of primary hematopoietic cells and cell lines provides a convenient system to pursue a biochemical analysis of HOX gene function in mammalian cells. To explore the role of HOXB7 in myeloid hematopoiesis, a number of mutations and deletions in the gene were constructed that targeted sequences with known functions or in regions that had not been examined previously. The wild-type and mutant B7 constructs were introduced into the murine myelomonocytic cell line, 32D, and assayed for their effects on G-CSF-induced myeloid differentiation. Wild-type HOXB7 inhibited the differentiation of 32D cells, whereas mutations in the Pbx-binding pentapeptide motif or the DNA-binding homeodomain, as well as internal deletions of the N-terminal unique region, blocked this effect. Interestingly, mutations elimi-nating two target sites for casein kinase II, the glutamate-rich C terminus, or the ﬁrst 14 amino acids of HOXB7, led to enhanced 32D differentiation. A model proposing a role for these regions of HOXB7 is presented. The Journal of Immunology, 2001, 166: 5058–5067.
FRUIT STONES AND SEEDS OF GRAPE AND CUCURBITS AS A PROMISING SOURCE OF BIOACTIVE SUBSTANCES. OVERVIEW

The Republic of Uzbekistan is a major producer of agricultural products. The production of vegetables, grapes, fruit and berries, melons and gourds is increasing from year to year. The total volume of their production approximates 16,200 thousand tonnes a year. The seeds of these crops make up 2 to 10% of the mass of processed raw materials and are sources of valuable bioactive substances. The main method of obtaining oil (from apricot kernels, grape and melon seeds) is cold pressing, i.e. pressing carried out at a temperature below 60°C. Such oil immediately passes from the category of ordinary table oils to the category of medicinal products. At present, in Uzbekistan, to obtain high-quality vegetable oil, apricot kernels, grape and cucurbit seeds are processed on low-tonnage production lines by cold pressing. However, this method of processing raw materials does not provide the maximum yield of valuable vegetable oil and its nutrients. Oil cakes are not processed to obtain bioactive substances, nor is extraction practised as a method of obtaining them. Unlike other solvents such as butane or hexane, ethanol, when used for extraction, has the advantage of being virtually harmless to the user. Unlike so-called CO 2 extraction, that with ethanol requires no expensive equipment, and if the technology is observed, the extract obtained can have spectra of a very high quality. There is no scientifically substantiated methodology of engineering calculation of a low capacity plant using an ethanol solvent to extract ingredients from vegetable materials. This shows how important it is to develop such equipment and introduce it in production.
Cogitative Intervention In Societal Thinking

ON RESEARCH In a generalized perception, research globally develops in the beaten path of extreme specialization producing findings that are useful only to the few following the specific scientific path that research per case accommodates. With research in such form of development, the broad learning community is not benefited and fundamental learning loses attraction and joy, results of which we all experience, nowadays, in the degradation of paideia quality and the declination of learning, particularly, and importantly, among the younger populations. Respectfully accepting the traditional path of research, one should, and this paper dares to, proffer another path of research that would foster learning attraction among the broad human populations and accommodate for them understanding of findings that now are worthy only to the related specialists.
Research on remote intelligent consultation platform for dam safety monitoring

At present, most dam consultation systems have only video communication functions but lack of in-depth technical support. For this reason, based on the idea of “early warning-consultation-decision”, this paper studied the architecture and hardware deployment of the decision support platform for dam engineering safety monitoring. The video communication module was developed basing on TCP/IP protocol and dam digitalization was realized using virtual visualization technology. Structural safety calculation, data analysis and comprehensive evaluation, etc. were implemented in C# language. Therefore, a comprehensive platform for dam safety and intelligence meeting, which fully supports experts’ remote decision making, was formed. The results have been well applied in the disaster emergency of Shiziping and other projects.
Evaluating physiological strain during cold exposure using a new cold strain index

O’Brien,Andrew J.Young, and Kent B. Pandolf. Evaluating physiological strain during cold exposure using a new cold strain index. Am. J. Physiol. 277 ( Regulatory Integrative Comp. Physiol. 46): R556–R564, 1999. —A cold strain index (CSI) based on core (T core ) and mean skin temperatures (T sk ) and capable of indicating cold strain in real time and analyz-ing existing databases has been developed. This index rates cold strain on a universal scale of 0–10 and is as follows: (20 2 T sk0 ) 2 1 , where T core0 and T sk0 are initial measurements and T core t and T sk t are simultaneous measurements taken at any time t ; when T core t . T core0 , then T core t 2 T core0 5 0. CSI was applied to three databases. The ﬁrst database was obtained from nine men exposed to cold air (7°C, 40% relative humidity) for 120 min during euhydration and two hypohydration conditions achieved by exercise-heat stress-induced sweating or by ingestion of furosemide 12 h before cold exposure. The second database was from eight men exposed to cold air (10°C) immediately on completion of 61 days of strenuous outdoor military training, 48 h later, and after 109 days. The third database was from eight men repeatedly immersed in 20°C water three times in 1 day and during control immersions. CSI signiﬁcantly differentiated ( P , 0.01) between the trials and individually categorized the strain of the subject for two of these three databases. This index has the potential to be widely accepted and used universally.