scholarly journals Microwave-Assisted Acid Digestion: Evaluation of Reaction Vessel Design and Performance

Author(s):  
Julia Garitta ◽  
Lucimar Fialho ◽  
Glenda de Oliveira ◽  
Roberta Maria ◽  
Camillo Pirola ◽  
...  

Nowadays, microwave-assisted procedures using closed vessels with thermal, chemical, and mechanical resistance are the state-of-the-art for efficient digestion of samples. Safety issues related to sample reactivity should be considered and analytical throughput is also a critical parameter. The choice of a specific vessel for a target application is not trivial and simple experiments are presented here for rice flour and bovine liver samples to illustrate effects of vessel design on digestion performance. Despite using the same heating program, the residual carbon contents varied from 22 to 67% to bovine liver digests and from 7 to 96% to rice flour digests. Quantitative recoveries were obtained for most analytes. Low recoveries were observed mainly for Ca and Fe. Analytical performance is related to different sizes, shapes and the gradient of temperature for each model of digestion vessel. It was demonstrated that taller vessels improved regeneration of nitric acid.

Author(s):  
Inzamam Mashood Nasir ◽  
Muhammad Rashid ◽  
Jamal Hussain Shah ◽  
Muhammad Sharif ◽  
Muhammad Yahiya Haider Awan ◽  
...  

Background: Breast cancer is considered as the most perilous sickness among females worldwide and the ratio of new cases is expanding yearly. Many researchers have proposed efficient algorithms to diagnose breast cancer at early stages, which have increased the efficiency and performance by utilizing the learned features of gold standard histopathological images. Objective: Most of these systems have either used traditional handcrafted features or deep features which had a lot of noise and redundancy, which ultimately decrease the performance of the system. Methods: A hybrid approach is proposed by fusing and optimizing the properties of handcrafted and deep features to classify the breast cancer images. HOG and LBP features are serially fused with pretrained models VGG19 and InceptionV3. PCR and ICR are used to evaluate the classification performance of proposed method. Results: The method concentrates on histopathological images to classify the breast cancer. The performance is compared with state-of-the-art techniques, where an overall patient-level accuracy of 97.2% and image-level accuracy of 96.7% is recorded. Conclusion: The proposed hybrid method achieves the best performance as compared to previous methods and it can be used for the intelligent healthcare systems and early breast cancer detection.


2019 ◽  
Vol 13 (2) ◽  
pp. 14-31
Author(s):  
Mamdouh Alenezi ◽  
Muhammad Usama ◽  
Khaled Almustafa ◽  
Waheed Iqbal ◽  
Muhammad Ali Raza ◽  
...  

NoSQL-based databases are attractive to store and manage big data mainly due to high scalability and data modeling flexibility. However, security in NoSQL-based databases is weak which raises concerns for users. Specifically, security of data at rest is a high concern for the users deployed their NoSQL-based solutions on the cloud because unauthorized access to the servers will expose the data easily. There have been some efforts to enable encryption for data at rest for NoSQL databases. However, existing solutions do not support secure query processing, and data communication over the Internet and performance of the proposed solutions are also not good. In this article, the authors address NoSQL data at rest security concern by introducing a system which is capable to dynamically encrypt/decrypt data, support secure query processing, and seamlessly integrate with any NoSQL- based database. The proposed solution is based on a combination of chaotic encryption and Order Preserving Encryption (OPE). The experimental evaluation showed excellent results when integrated the solution with MongoDB and compared with the state-of-the-art existing work.


2004 ◽  
Vol 25 (20) ◽  
pp. 1739-1764 ◽  
Author(s):  
Frank Wiesbrock ◽  
Richard Hoogenboom ◽  
Ulrich S. Schubert

2010 ◽  
Vol 101 (7) ◽  
pp. 2466-2471 ◽  
Author(s):  
B.G. Terigar ◽  
S. Balasubramanian ◽  
D. Boldor ◽  
Z. Xu ◽  
M. Lima ◽  
...  

2015 ◽  
Vol 738-739 ◽  
pp. 1105-1110 ◽  
Author(s):  
Yuan Qing Qin ◽  
Ying Jie Cheng ◽  
Chun Jie Zhou

This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.


2021 ◽  
Author(s):  
Anand Kumar Singh ◽  
Aysha Alobeidli ◽  
Venugopal Bakthavachsalam

Abstract Natural gas coming from the well contains hydrocarbons, CO2, H2S, and water together with many other impurities. Molecular sieve treatment of the gas is required to make it suitable for the various applications. The several process and parameters considerations contribute to the reliable and optimized operation of molecular sieve natural gas treaters. The journey of this molecular sieve treater optimization commenced by conducting a thorough systematic study of all existing treater performance by considering various operating critical parameter. The technical feasibility studies were completed covering all the aspects like evaluating current performance of treater, conducting simulation for future capacity, licensor endorsement, conducting breakthrough test. Finally, study outcomes were implemented through management change process. The main benefits of optimization of molecular sieve treater process are to extend the service life of molecular sieve which enable us to increase the turnaround cycle of NGL trains. Significant reduction in CAPEX and OPEX cost were realized by reducing new fresh molecular sieve procurement, reducing disposal of molecular sieve waste material and expense of shutdown, achieving 100% HSE. This paper presents the typical operation issues and challenges in molecular sieve treatment process, best practices adopted for maximizing of existing assets considering the current and design scenarios, and performance improvement, which result to extend molecular sieve life, increase of NGL shutdown cycle and flaring reduction in trains.


2016 ◽  
Vol 5 (1) ◽  
pp. 75-97
Author(s):  
Fabio Brancaleoni

AbstractA discussion of the dominant factors affecting the behaviour of long span cable supported bridges is the subject of this paper. The main issue is the evolution of properties and response of the bridge with the size of the structure, represented by the critical parameter of span length, showing how this affects the conceptual design. After a review of the present state of the art, perspectives for future developments are discussed.


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