scholarly journals Using of «bubble sensors» to control the quality of sequencing by the Illumina / Solexa method

2021 ◽  
Vol 2086 (1) ◽  
pp. 012120
Author(s):  
V S Reznik ◽  
V A Kruglov ◽  
V V Davydov

Abstract In the modern world, sequencing is an integral part of medicine, biology and other scientific fields. The Illimina / Solexa method is a new generation method and relates to methods of mass parallel sequencing. One of the features of using this method is the sequential pumping of various chemicals through the flow cell in which the reaction occurs. For uniformity and high quality of DNA sequencing, it is necessary that the amount of gas in liquids be minimized. Because many it can adversely affect both during chemical reactions and at the stage of recording reaction results. This article will examine the sequencing system using the Illumina\Solexa method using bubble sensors. An algorithm was developed that periodically receives information from bubble sensors in a microfluidic tube. The information received is processed and allows at certain stages to report deviations from the normal conditions for sequencing. The experimental results are presented.

Instruments ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 23 ◽  
Author(s):  
Joseph Pearson ◽  
Helmut Cölfen

Open-source Multiwavelength Analytical Ultracentrifugation (MWL-AUC) detection systems have been evolving for over a decade. Continual advances emerging out of several research groups have brought the instrumentation technology to increasingly higher levels of performance. The capabilities of MWL-AUC have been documented in many publications, demonstrating the applicability of broad spectrum absorbance acquisitions in analytical ultracentrifugation to a wide array of scientific fields. Despite numerous examples of the usefulness and unique advantages of MWL-AUC, the adoption of the technology by more research groups has been slow. The complexity of the hardware, integration within an ultracentrifuge platform and lack of practical construction and operational information is the likely source of reluctance. Here, we clearly describe the challenges facing a researcher considering adopting MWL-AUC technology in their own laboratories, and provide the information necessary to implement and operate a MWL-AUC system. The discussion includes details of detector assembly, optical alignment, and acquisition parameter settings necessary to achieve high quality experimental results.


Author(s):  
Ziming Li ◽  
Julia Kiseleva ◽  
Maarten De Rijke

The performance of adversarial dialogue generation models relies on the quality of the reward signal produced by the discriminator. The reward signal from a poor discriminator can be very sparse and unstable, which may lead the generator to fall into a local optimum or to produce nonsense replies. To alleviate the first problem, we first extend a recently proposed adversarial dialogue generation method to an adversarial imitation learning solution. Then, in the framework of adversarial inverse reinforcement learning, we propose a new reward model for dialogue generation that can provide a more accurate and precise reward signal for generator training. We evaluate the performance of the resulting model with automatic metrics and human evaluations in two annotation settings. Our experimental results demonstrate that our model can generate more high-quality responses and achieve higher overall performance than the state-of-the-art.


2013 ◽  
Vol 3 (4S) ◽  
pp. 93-95
Author(s):  
Anna E USYNINA ◽  
Ludmila V BORONINA

In the modern world indisputable value for the population is represented by qualitative water. The extremely unsatisfactory quality of drinking water is caused by limited opportunities of work of treatment facilities in the conditions of anthropogenous loads of water sources. Search of new technologies of high-quality prewater purifi cation it is extremely necessary.


2015 ◽  
Vol 22 (2) ◽  
pp. 165-173 ◽  
Author(s):  
Jihua Chen ◽  
Teresa Chen-Keat ◽  
Mehdi Hojjati ◽  
AJ Vallee ◽  
Marc-Andre Octeau ◽  
...  

AbstractDeveloping reliable processes is one of the key elements in producing high-quality composite components using an automated fiber placement (AFP) process. In this study, both simulation and experimental studies were carried out to investigate fiber steering and cut/restart under different processing parameters, such as layup rate and compaction pressure, during the AFP process. First, fiber paths were designed using curved fiber axes with different radii. Fiber placement trials were then conducted to investigate the quality of the steered fiber paths. Furthermore, a series of sinusoidal fiber paths were fiber placed and investigated. Moreover, a six-ply laminate with cut-outs in it was manufactured in the cut/restart trials. The accuracy of the fiber cut/restart was compared at different layup rates for both one- and bi-directional layups. Experimental results show that it was possible to layup steered fiber paths with small radii of curvature (minimum 114 mm) designed for this study when the proper process condition was used. It was observed from the cut/restart trials that the quality of tow cut was independent of layup speed; however, the accuracy of tow restart was related to the layup speed. The faster the layup speed, the less accurate was the tow restart.


2007 ◽  
Vol 5 ◽  
pp. 305-311 ◽  
Author(s):  
B. Heyne ◽  
J. Götze

Abstract. In this paper a computationally efficient and high-quality preserving DCT architecture is presented. It is obtained by optimizing the Loeffler DCT based on the Cordic algorithm. The computational complexity is reduced from 11 multiply and 29 add operations (Loeffler DCT) to 38 add and 16 shift operations (which is similar to the complexity of the binDCT). The experimental results show that the proposed DCT algorithm not only reduces the computational complexity significantly, but also retains the good transformation quality of the Loeffler DCT. Therefore, the proposed Cordic based Loeffler DCT is especially suited for low-power and high-quality CODECs in battery-based systems.


Author(s):  
Wei Wang ◽  
Xiang-Yu Guo ◽  
Shao-Yuan Li ◽  
Yuan Jiang ◽  
Zhi-Hua Zhou

Crowdsourcing systems make it possible to hire voluntary workers to label large-scale data by offering them small monetary payments. Usually, the taskmaster requires to collect high-quality labels, while the quality of labels obtained from the crowd may not satisfy this requirement. In this paper, we study the problem of obtaining high-quality labels from the crowd and present an approach of learning the difficulty of items in crowdsourcing, in which we construct a small training set of items with estimated difficulty and then learn a model to predict the difficulty of future items. With the predicted difficulty, we can distinguish between easy and hard items to obtain high-quality labels. For easy items, the quality of their labels inferred from the crowd could be high enough to satisfy the requirement; while for hard items, the crowd could not provide high-quality labels, it is better to choose a more knowledgable crowd or employ specialized workers to label them. The experimental results demonstrate that the proposed approach by learning to distinguish between easy and hard items can significantly improve the label quality.


Author(s):  
Rui Wang ◽  
Zhihao Zheng ◽  
Shuming Gao

Abstract Converting a hex mesh into a fundamental mesh by inserting fundamental sheets is an effective means to improve the hex mesh’s quality near the boundary. However, the high-quality and automatic fundamental sheets insertion is still a problem. In this paper, a method is proposed to automatically generate fundamental sheets with the support of stream surfaces. By establishing a constrained integer linear system, the types of fundamental sheets to be inserted are determined effectively and optimally. By constructing discrete stream surfaces associated with the relevant geometric entities, the optimized positions of fundamental sheets are automatically determined. The experimental results show that the proposed method can automatically insert high-quality fundamental sheets and effectively improve the elements’ geometric quality of the hex mesh.


2020 ◽  
Vol 88 (3) ◽  
pp. 111-123
Author(s):  
Ilia V. Kudinov ◽  
◽  
Gulnara F. Kudinova ◽  

The relevance of the problem stated in the article is due to the fact that the role and functions of higher education institutions is fundamentally changing nowadays. It happens thanks to breakthrough IT solutions in various areas of human life, the development of online learning technologies, and the increased need for fast and highly specialized education. This is primarily due to the demands of the time – the transformation of the modern world economy towards digitalization. The purpose of the work was to obtain objective information about the effectiveness of the use of innovative forms in the educational process of higher education. The implementation of the priority project in the field of education "Modern digital educational environment in the Russian Federation" allowed us to deploy a national Internet platform with the possibility of integrating mass open online courses (MOOCs) into the educational process. This approach has opened up new opportunities for universities to implement online educational programs and use Internet technologies to form individual educational trajectories of students. A priori, the high quality of moocs was declared and, as a result, the high quality of students educational results. However, there were no separate studies on the quality of students' competence formation. The article considers models for organizing the educational process in higher education using mass open online courses, describes the experience of the Bashkir state pedagogical University named after M. Akmulla as a specialized pedagogical university, considers private methods for online and offline training in the higher education system, and presents experimental data on the introduction of online lectures as an element of MOOCs in the educational process of a pedagogical university. The authors as well studied the students' opinions about new forms of education.


2010 ◽  
Vol 44-47 ◽  
pp. 4077-4080
Author(s):  
Mei Fa Huang ◽  
Xiong Cheng ◽  
Bing Kuang ◽  
Jiang Tai Huang

The quality of workpiece is influenced by the surface roughness. However, the assessment of parameters of surface roughness is not researched intensively in the new generation GPS standards system. This paper presents a method to assess parameters of surface roughness. The methodology adopts wavelet analysis to construct the model of surface topography and uses the mallat algorithm to separate roughness profile from surface topography. The assessment results of surface profile are calculated according to the standard ISO 4287:1997. The experimental results show that the method not only avoids simplicity the assessment of parameters, but also decreases the number of productions of mis-acceptance and mis-rejection.


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