Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Left Main Coronary Artery Using Optical Frequency Domain Imaging and Its Pitfalls

Objectives We aimed to assess the quality of optical frequency domain imaging (OFDI) of the left main (LM) arterial wall and describe and analyse potential artefacts in this setting. Background OFDI is increasingly used to assess ambiguous lesions and optimize LM percutaneous coronary intervention. However, its ability to provide artefact-free high-quality images of coronary ostia and large segments such as the LM remains uncertain. Methods We included 42 consecutive patients who underwent OFDI, including LM imaging. Each OFDI frame was subdivided into four quadrants and analysed. The number of quadrants with artifacts was calculated within the proximal, mid, and distal LM and the first 5 mm of the left anterior descending artery (LAD) and/or left circumflex artery (LCX). Results The quadrants analysis showed an overall artifact rate of 8.9%, mostly out-of-field (45.1%) or residual blood (44.7%) artefacts. Most artifacts were located in the proximal LM (18.6%) with a stepwise reduction of artifact rates towards distal segments (mid LM 5.8%; distal LM 3.6%, ostial LAD 2.6%, and ostial LCX 0%; p < 0.001). While 20 (48.8%) patients had angiographically visible plaques, OFDI showed plaques in 32 patients (76.2%; p=0.007). Conclusion OFDI can accurately evaluate the LM and detect and assess angiographically unvisualized atherosclerotic plaques providing accurate assessment of >90% of the quadrants of the LM and the ostia of its bifurcation branches. However, artifacts mainly located in the proximal LM and decreasing distally in a stepwise fashion should be considered in the interpretation of OFDI in this setting.
Influence of human adipose stem cells on prostate cancer cell growth

ABSTRACT In a novel regenerative cell-based treatment developed by us for the patients with stress urinary incontinence, autologous adipose-derived stem cells (ASCs) are injected into the periurethral region and the external urethral sphincter. Since the candidates for this treatment included prostate cancer patients after radical prostatectomy, we investigated the effects of ASCs on prostate cancer cell proliferation in vitro and in vivo to confirm the feasibility of our therapeutic approach. The LNCaP (human prostate cancer cell line) cells and ASCs were co-cultured, and prostate-specific antigen (PSA) concentration in their culture medium supernatant was measured at 48 and 96 h. The PSA concentration significantly decreased in the coculture medium supernatant as compared to the culture medium with LNCaP cells alone. On the contrary, PSA concentrations in the culture medium of LNCaP cells were not affected by supplementation with ASC culture supernatant. After subcutaneous transplantation of LNCaP cells, with or without ASCs, in immunodeficient mice, tumor growth was compared. The growth of LNCaP xenograft tumor in immunodeficient mice was significantly suppressed by ASC addition. These results indicated that ASCs inhibit prostate cancer cell growth, without no proliferative effect on prostate cancer cells.
6th European Workshop on Immune-Mediated Inflammatory Diseases

Coeliac disease is a multifactorial disease controlled by multiple genes and environmental factors. Gluten proteins of grains are a key environmental factor as the disease goes in compete remission when gluten proteins are eliminated from the diet of the patients. The disease can be categorised as both a food hypersensitivity disorder as well as an autoimmune disease. Autoantibodies to the enzyme transglutaminase 2 (TG2) typical of coeliac disease have higher disease specificity and sensitivity than autoantibodies for any other disorder. Both the autoantibodies and the disease lesion of the small intestine, characterised by villous blunting, lamina propriaplasmacytosis and intraepithelial lymphocytosis, are reversibly dependent gastrointestinal exposure to cereal gluten proteins. There is strong association of coeliac disease with HLA-DQ2.5 and HLA-DQ8, and the presence of antibodies to TG2 is also completely dependent on carriage of DQ2.5 or DQ8. In addition to HLA genes, genome wide association studies have so far identified 39 non-loci implicated in the disease. Most of the coeliac disease susceptibility genes are related to the function of antigen presenting cells and T cells, and many risk genes are shared with organ specific autoimmune diseases. Research in our laboratory has demonstrated that gluten reactive CD4 T cells can be found in the lamina propria of coeliac disease patients, but not healthy controls. These T cells recognise proline-rich gluten peptides that have become deamidated by TG2 in the context of DQ2.5 or DQ8 suggesting that preferential antigen presentation of as the reason for the HLA association. DQ2.5 and DQ8 is necessary but not sufficient for coeliac disease development, suggesting that activation of gluten reactive CD4 T cells is a key step in the pathogenesis. Many similar, yet distinct T-cell epitopes exist. The selection of gluten T-cell epitopes depends on gastrointestinal proteolysis, TG2 specificity and HLA peptide binding. Intraepithelial CD8 that bear NK cell receptors are involved in killing of stressed enterocytes. Although the mechanisms still have to be elucidated, this process seems to involve the gluten reactive CD4 T cells. A strong anti-gluten T cell response require high HLA binding stability of gluten peptides, and the disparate HLA association between two closely related HLA molecules, HLA-DQ2.5 and HLA-DQ2.2, seems to relate to this phenomenon. Finally, among the plasma cells of the lesion, many of them (10%) are specific for TG2. The TG2 specific plasma cells utilise a limited repertoire of variable genes with low degree of somatic mutation. Thus this antibody response, despite being part of a chronic condition, bears signs of a primary response. Together, these findings highlight that coeliac disease offers unique opportunities for dissection of T cell and B cell responses that lead to an autoimmune disease.
Effect of Time of Planting, Plant Size, and Nursery-growing Environment on the Performance of ‘Festival’ Strawberry in a Subtropical Environment

Experiments were conducted to determine the effect of time of planting, plant size, and nursery-growing environment on the performance of bare-rooted ‘Festival’ strawberry plants (Fragaria ×ananassa) at Nambour in southeastern Queensland, Australia, over 3 years. Yields were best with a planting in mid-March (1013 g/plant), with lower yields with a planting in early March (711 g/plant), late March/early April (765 g/plant), mid-April (671 g/plant), or late April/early May (542 g/plant). Plants obtained from Stanthorpe in southern Queensland, a warm-growing environment, were just as productive (695 g/plant) as those from Toolangi in Victoria (710 g/plant) or Kempton in Tasmania (701 g/plant), two cool-growing environments. In contrast, large plants from these nurseries with crown diameters ranging from 10 to 17 mm had 17% higher yields than small plants with crown diameters ranging from 6 to 10 mm (751 vs. 642 g/plant). These results suggest that planting in mid-March is optimal for ‘Festival’ in this environment. Lower yields with an earlier planting reflected the small size of the plants, whereas lower yields with later plantings reflected the shorter growing seasons. It can also be concluded that plant size is more important than nursery-growing environment in determining the productivity of strawberry fields in southeastern Queensland.
Open Sharing During COVID-19: CRISPR-Based Detection Tools

tivities of CRISPR-C2c2 enable guide-RNA processing and RNA detection. Nature 2016;538:270–273. DOI: 10.1038/nature19802. 12. De Clercq E, Li G. Approved antiviral drugs over the past 50 years. Clin Microbiol Rev 2016;29:695–747. DOI: 10.1128/CMR.00102-15. 13. Freije CA, Myhrvold C, Boehm CK, et al. Programmable inhibition and detection of RNA viruses using Cas13. Mol Cell 2019;76:826–837.e11. DOI: 10.1016/j.molcel. 2019.09. 013. 14. Bawage SS, Tiwari PM, Santangelo PJ. Synthetic mRNA expressed Cas13a mitigates RNA virus infections. bioRxiv 2018:370460. DOI: 10.1101/370460. 15. Cui J, Li F, Shi ZL. Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol 2019;17:181–192. DOI: 10.1038/s41579-0180118-9. 16. Krishnamurthy S, Wohlford-Lenane C, Kandimalla S, et al. Engineered amphiphilic peptides enable delivery of proteins and CRISPRassociated nucleases to airway epithelia. Nat Commun 2019;10:4906. DOI: 10.1038/s41467-019-12922-y. 17. Xu CF, Chen GJ, Luo YL, et al. Rational designs of in vivo CRISPR-Cas delivery systems. Adv Drug Deliv Rev 2019 Nov 21 [Epub ahead of print]; DOI: 10.1016/j.addr. 2019.11. 005.
OPTIMIZATION AND CHARACTERIZATION OF BIOSURFACTANT PRODUCING MICROBES ISOLATED FROM OIL CONTAMINATED SOIL AND EXPRESSION OF BIOSURFACTANT GENES IN

The present study is carried out by optimization, isolation and characterization of biosurfactant producing microbes and also expression oil degrading genes from oil degrading microbes to non Bioremediation is a process in which the environment can cleanup through microbes. The various types of soil sample were collected from different regions of Unnao and Lucknow. The soil was contaminated with oil. Total 15 cultures were isolated t hrough serial dilution method out of which 4 cultures were characterized through Bergey’s manual. These cultures were tested for oil degradation by test tube method in small scale and large scale method. Four types of oils were used: petrol, diesel, kerose best results were obtained for all these cultures against petrol. The identified cultures were: M.luteus, S.aureus, B.cereus, N.flavescens. plasmid isolation was done by alkaline denaturation method and transformation proc ess was completed by heat shock treatment. The host cells used as E.coli which was not oil degrading microbes and after transformation the oil degrading capacity was developed which shows positive results and also optimization was done to enhance the capac oil degrading microbes. The optimization parameters include carbon source (glucose, dextrose, maltose, sucrose, beef extract), nitrogen source (urea, peptone, KNO 3, NH 4Cl), metal ion (Zn, Pb, Ca, Mg) and pH (5,6,7,8).
Long-Term Exposure to Ceftriaxone Sodium Induces Alteration of Gut Microbiota Accompanied by Abnormal Behaviors in Mice

Background: Growing evidence points out that a disturbance of gut microbiota may also disturb the gut–brain communication. However, it is not clear to what extent the alteration of microbiota composition can modulate brain function, affecting host behaviors. Here, we investigated the effects of gut microbiota depletion on emotional behaviors. Methods: Mice in the experimental group were orally administered ceftriaxone sodium solution (250 mg/ml, 0.2 ml/d) for 11 weeks. The open-field test and tail-suspension test were employed for the neurobehavioral assessment of the mice. Fecal samples were collected for 16s rDNA sequencing. The serum levels of cytokines and corticosterone were quantified using enzyme-linked immunosorbent assays. The immunohistochemistry method was used for the detection of brain-derived neurotrophic factor (BDNF) and c-Fos protein. Results: The gut microbiota for antibiotic-treated mice showed lower richness and diversity compared with normal controls. This effect was accompanied by increased anxiety-like, depression-like, and aggressive behaviors. We found these changes to be possibly associated with a dysregulation of the immune system, abnormal activity of the hypothalamic-pituitary-adrenal axis, and an alteration of neurochemistry. Conclusions: The findings demonstrate the indispensable role of microbiota in the gut–brain communication and suggest that the absence of conventional gut microbiota could affect the nervous system, influencing brain function.
Progress in Ameliorating Beneficial Characteristics of Microbial Cellulases by Genetic Engineering Approaches for Cellulose Saccharification

Lignocellulosic biomass is a renewable and sustainable energy source. Cellulases are the enzymes that cleave β-1, 4-glycosidic linkages in cellulose to liberate sugars that can be fermented to ethanol, butanol, and other products. Low enzyme activity and yield, and thermostability are, however, some of the limitations posing hurdles in saccharification of lignocellulosic residues. Recent advancements in synthetic and systems biology have generated immense interest in metabolic and genetic engineering that has led to the development of sustainable technology for saccharification of lignocellulosics in the last couple of decades. There have been several attempts in applying genetic engineering in the production of a repertoire of cellulases at a low cost with a high biomass saccharification. A diverse range of cellulases are produced by different microbes, some of which are being engineered to evolve robust cellulases. This review summarizes various successful genetic engineering strategies employed for improving cellulase kinetics and cellulolytic efficiency.
Japon Bıldırcınlarında Canlı Ağırlık ve Canlı Ağırlık Artışına Ait Genetik Parametre Tahminleri

Bu ait kalitim derecelerini farkli yontemlerle tahmini amaclanmistir. Calismada 90 baba, 293 ana ve bunlardan elde edilen 1788 dol kullanilmistir. Kalitim dereceleri ANOVA, ML ve REML yontemleri kullanilarak yuksek ve orta seviyede tahmin edilmistir. Her uc yontemle tahmin edilen kalitim dereceleri oldukca yakin sonuclar vermistir
Green and Quality Development of Service Industry in West Coast Economic Zone

ABSTRACT Yin, L. and Zhang, X. , 2020. Green and quality development of service industry in West Coast Economic Zone. In: Yang, Y. ; Mi, C. ; Zhao, L. , and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 1158–1161. Coconut Creek (Florida), ISSN 0749-0208. Thanks to the increasing-broadened scale of foreign investment, the orderly and green development of service industry in the West Coast Economic Zone has promoted the traditional service industry to emerge as the pillar of the tertiary industry in recent years. However, this zone also witnessed the poor internal structure of the service industry, non-quality employees, incomplete green development system of service industry, residents' weak consciousness of green production of enterprises and green consumption and loose green management, etc. In this regard, measures should be taken to optimize the internal structure of the service industry, create green growth points, and activate the market by developing green service industry agglomeration areas. In addition, it is necessary to ensure the elements of green development of service industry and deepen cooperation with Taiwan's service industry, so as to advance the green and high-quality development of service industry in the West Coast Economic Zone.
Emergence of cascading dynamics in interacting tipping elements of ecology and climate

In ecology, climate and other fields, (sub)systems have been identified that can transition into a qualitatively different state when a critical threshold or tipping point in a driving process is crossed. An understanding of those tipping elements is of great interest given the increasing influence of humans on the biophysical Earth system. Complex interactions exist between tipping elements, e.g. physical mechanisms connect subsystems of the climate system. Based on earlier work on such coupled nonlinear systems, we systematically assessed the qualitative long-term behaviour of interacting tipping elements. We developed an understanding of the consequences of interactions on the tipping behaviour allowing for tipping cascades to emerge under certain conditions. The (narrative) application of these qualitative results to real-world examples of interacting tipping elements indicates that tipping cascades with profound consequences may occur: the interacting Greenland ice sheet and thermohaline ocean circulation might tip before the tipping points of the isolated subsystems are crossed. The eutrophication of the first lake in a lake chain might propagate through the following lakes without a crossing of their individual critical nutrient input levels. The possibility of emerging cascading tipping dynamics calls for the development of a unified theory of interacting tipping elements and the quantitative analysis of interacting real-world tipping elements.
Show me the Way: Intrinsic Motivation from Demonstrations

The study of exploration in Reinforcement Learning (RL) has a long history but it remains an unsolved problem. Recent approaches applied to Deep RL are based on the concept of intrinsic motivation and are implemented in the shape of an exploration bonus, added to the environment reward, that encourages visiting exhaustively the whole state-action space as fast as possible. This approach is supported by the vast theory of RL for which convergence to optimality assumes exhaustive exploration. Yet, Human Beings and mammals do not exhaustively explore the world and their motivation is not only based on novelty but also on diverse other factors (e.g., curiosity, fun, style, pleasure, safety, competition, etc.). They optimize for life-long learning and train to learn transferable skills in playgrounds without obvious goals. They also apply innate or learned priors to save time and stay safe. For these reasons, we propose a method for learning an exploration bonus from demonstrations that could transfer these motivations to an artificial agent without explicitly modeling them. Using an inverse RL approach, we show that different exploration behaviors can be learnt and efficiently used by RL agents to solve tasks for which exhaustive exploration is prohibitive.
ISSN: 2249-0353 Original Article Search for an herbal medicine: Antibacterial activity of methanolic extract of Haldina cordifolia

In-vitro antibacterial activities of methanolic extract of Haldina cordifolia were evaluated against a series of various bacterial strains by well diffusion method using nutrient agar medium. Antibacterial activities were found to be quite inspiring as it has shown inhibitory effect against all the pathogens like Staphylococcus aureus ATCC 29757, Pseudomonas aeruginosa ATCC 25619, Escherichia coli ATCC 10536, Streptococcus pneumoniae, Clostridium difficile, Klebsiella pneumonia, Mycobacterium tuberculosis and Bacillus subtillis ATCC 10389. Antibacterial activity was determined by the well diffusion method using nutrient agar medium. Tetracycline was used as a positive control. The Haldina extract restricted alkaloids, flavonoids and fixed oils. © 2014 Universal Research Publications. All rights reserved
An Efficient Smoothing Proximal Gradient Algorithm for Convex Clustering

Cluster analysis organizes data into sensible groupings and is one of fundamental modes of understanding and learning. The widely used K-means and hierarchical clustering methods can be dramatically suboptimal due to local minima. Recently introduced convex clustering approach formulates clustering as a convex optimization problem and ensures a globally optimal solution. However, the state-of-the-art convex clustering algorithms, based on the alternating direction method of multipliers (ADMM) or the alternating minimization algorithm (AMA), require large computation and memory space, which limits their applications. In this paper, we develop a very efficient smoothing proximal gradient algorithm (Sproga) for convex clustering. Our Sproga is faster than ADMM- or AMA-based convex clustering algorithms by one to two orders of magnitude. The memory space required by Sproga is less than that required by ADMM and AMA by at least one order of magnitude. Computer simulations and real data analysis show that Sproga outperforms several well known clustering algorithms including K-means and hierarchical clustering. The efficiency and superior performance of our algorithm will help convex clustering to find its wide application.
Optimization of Visual Cognitive Effect of Ecological Landscape in Coastal Periphery

ABSTRACT Bi, M. and Sun, L. , 2020. Optimization of visual cognitive effect of ecological landscape in coastal periphery. In: Yang, Y. ; Mi, C. ; Zhao, L. , and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 1130–1134. Coconut Creek (Florida), ISSN 0749-0208. At present, the optimization process is complex, the optimization effect is poor, and the satisfaction of tourists is low. This paper analyzes the visual cognitive effect of the ecological landscape view, sight and horizon around the coast. According to the analysis results, the optimization model of the visual cognitive effect is established, and the sampling density function of the visual cognitive effect of the coastal surrounding ecological landscape is updated by the relative entropy method, and the optimization model of the visual effect of the coastal surrounding ecological landscape is constructed by selecting the kernel function to realize the optimization of the visual cognitive effect of the coastal surrounding ecological landscape. The experimental results show that the proposed method can effectively optimize the visual cognitive effect of coastal surrounding ecological landscape, and the optimization quality is high.
Marine Environmental Monitoring Data Based on Information Visualization

ABSTRACT Li, J., 2020. Marine environmental monitoring data based on information visualization. In: Yang, Y. ; Mi, C. ; Zhao, L. , and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 530–534. Coconut Creek (Florida), ISSN 0749-0208. When the current method was used to analyze the marine environmental monitoring data, it was time-consuming, and the error of analysis results was too large, leading to low efficiency of data collection and low accuracy of data analysis. Therefore, an analysis method of marine environment monitoring data based on information visualization was put forward. The application portal layer, visualization service layer, grid middleware layer and visualization resource layer were used to build the monitoring platform architecture. The monitoring for marine environment data was realized through the grid platform implementation mechanism, information sharing service and visualization service. Through the evaluation equation, thematic map and evaluation report, the marine environmental monitoring data was analyzed. Experimental results show that the proposed method has high efficiency in data acquisition and high accuracy in data analysis.