An Advanced Analysis of Cloud Computing Concepts Based on the Computer Science Ontology

Our primary research hypothesis stands on a simple idea: The evolution of top-rated publications on a particular theme depends heavily on the progress and maturity of related topics. And this even when there are no clear relations or some concepts appear to cease to exist and leave place for newer ones starting many years ago. We implemented our model based on Computer Science Ontology (CSO) and analyzed 44 years of publications. Then we derived the most important concepts related to Cloud Computing (CC) from the scientific collection offered by Clarivate Analytics. Our methodology includes data extraction using advanced web crawling techniques, data preparation, statistical data analysis, and graphical representations. We obtained related concepts after aggregating the scores using the Jaccard coefficient and CSO Ontology. Our article reveals the contribution of Cloud Computing topics in research papers in leading scientific journals and the relationships between the field of Cloud Computing and the interdependent subdivisions identified in the broader framework of Computer Science.     

Simple Wet Rendering Method for Extraction of Prime Quality Oil from Skipjack Tuna Eyeballs

Oil from skipjack tuna (ST) eyeballs is extracted by the wet rendering method at 121 °C for different holding times (5–60 min) using an autoclave. Yield increases as heating time increases up to 20 min (p < 0.05); no further increase is obtained with a longer heating time (p > 0.05). Conversely, acid value and total polar compounds increase. However, peroxide value (PV), thiobarbituric acid reactive substances, and anisidine value (AnV) decrease up to 30 min. No changes in unsaponifiable matter (UM) or conjugated diene (CD) are attained, regardless of heating time. Polar components (PC) increase with heating time (p < 0.05). All oil samples have a high polyunsaturated fatty acids (PUFA) content (40.46–41.00%), with monounsaturated fatty acids (MUFA) and saturated fatty acids (SFA) in the range of 20.94–21.26% and 37.77–38.45%, respectively. PUFA content is reduced slightly with a heating time of 60 min. Docosahexaenoic acid (DHA) (C22:6, n3) is the dominant fatty acid in all samples (31.67–32.24%). Based on FTIR spectra, heating for longer time results in lower intensity at wavenumbers of 3015 and 1740 cm^?1. Thus, light yellow oil from ST eyeballs prepared by a green process for an appropriate time can serve as an excellent source of DHA and other PUFA. Practical Applications: Tuna oil is known to be a rich source of DHA and PUFA with health benefits. However, precooked tuna heads, generally used as raw material, yield oils with a very dark color and offensive odor, which require several refinery processes. To reduce the number of steps in the refinery process, tuna eyeballs which are separated from tuna heads can render higher quality fish oil. Moreover, the wet rendering process, a green process without toxic substances, can be used without causing environmental problems.     

Combined effects of wheat gluten and carboxymethylcellulose on dough rheological behaviours and gluten network of potato–wheat flour-based bread

Incorporating high level of potato flour into wheat flour enhances nutritional values of bread but induces a series of problems that lead to the decline of the bread quality. To overcome the barrier, wheat gluten and carboxymethylcellulose (CMC) were added into potato–wheat composite flour to improve dough machinability and bread quality. The rheological properties, thermo-mechanical properties and microstructures of dough were investigated. The results showed that the interaction between gluten and CMC mitigated the discontinuity of gluten matrix and gluten protein aggregation caused by the addition of potato flour, which yielded a more branched and compact gluten network. The compact three-dimensional viscoelastic structure induced improvements of gas retention capacity and dough stability, making it mimic the machinability properties of wheat flour dough. Bread qualities were apparently improved with the combined use of 4% gluten and 6% CMC, of which specific volume increased by 42.86%, and simultaneously, hardness reduced by 75.93%.     

Identification of potential technologies for 1,4-Butanediol production using prospecting methodology

1,4-Butanediol (1,4-BDO) is a four-carbon diol used for industrial applications such as organic solvents, and the production of adhesives, fibers and polyurethanes. 1,4-BDO currently is produced through several petrochemical routes: hydrogenation of maleic anhydride, isomerization of propylene oxide, acetoxylation of butadiene, and the reaction between formaldehyde and acetylene. The current trends in 1,4-BDO production involve the utilization of renewable sources such as biomass. In this context, the present study aimed to identify promising technologies of 1,4-BDO production through prospecting methodology based on the analyses of patents and scientific article, describing the most relevant aspects of those emerging technologies. An increasing amount of 1,4-BDO production focused on biotechnological routes has been reported, with the US heavily involved in the development of new technologies. This study tracked three promising technologies which have potential for application in a biorefinery context because those processes involve (i) production of 1,4-BDO from sugars, classified herein as the biotechnological route; (ii) production of intermediates from sugar fermentation followed by catalytic conversion into 1,4-BDO, classified herein as the hybrid route, and (iii) furan/furfural conversion into 1,4-BDO. © 2020 Society of Chemical Industry     

树立科学的发展观,大力推进皮革工业环境建设

文章将对中国皮革工业的发展历程与现在基本的环境状况作出详尽的介绍与分析,提出必须以科学发展观为指导,加大力度深入探讨皮革工业的环境建设,并且积极的树立健康良好的皮革工业环境建设观念,以此来促进皮革工业健康可持续的发展。     

Applying Feature-Weighted Gradient Decent K-Nearest Neighbor to Select Promising Projects for Scientific Funding

Due to its outstanding ability in processing large quantity and high-dimensional data, machine learning models have been used in many cases, such as pattern recognition, classification, spam filtering, data mining and forecasting. As an outstanding machine learning algorithm, K-Nearest Neighbor (KNN) has been widely used in different situations, yet in selecting qualified applicants for winning a funding is almost new. The major problem lies in how to accurately determine the importance of attributes. In this paper, we propose a Feature-weighted Gradient Decent K-Nearest Neighbor (FGDKNN) method to classify funding applicants in to two types: approved ones or not approved ones. The FGDKNN is based on a gradient decent learning algorithm to update weight. It updatesthe weight of labels by minimizing error ratio iteratively, so that the importance of attributes can be described better. We investigate the performance of FGDKNN with Beijing Innofund. The results show that FGDKNN performs about 23%, 20%, 18%, 15% better than KNN, SVM, DT and ANN, respectively. Moreover, the FGDKNN has fast convergence time under different training scales, and has good performance under different settings.     

基于VSE的大南湖一矿通风系统现状仿真与评估

为了掌握大南湖一矿通风系统现状,科学评估其安全性、稳定可靠性及合理性,对全矿进行了通风参数精准普查,基于VSE软件对通风系统运行状况进行了仿真与评估。结果表明大南湖一矿通风系统存在部分巷道微风、回风大巷风速偏高、井下通风设施较多、部分角联分支易发生风流转向、矿井通风阻力分布不合理等问题,为系统的优化改造指明了方向。     

办好《铀矿冶》,为铀矿冶事业发展作出新贡献

回顾了《铀矿冶》不平凡的20年历程，结合核工业北京化工冶金研究院取得的科研成果，评价了《铀矿冶》在我国铀矿科技和生产中所起的重要作用。     

关于矿业城市的几个问题——在第六届中国矿业城市发展论坛发言

矿业城市在发展的道路上面临着困难,同时也面临新的发展机遇。矿业城市的兴衰关系区域经济协调发展和国家建设全局的大事。所以,要用科学发展观来指导矿业城市振兴,促进矿业城市转型,提高矿业城市持续发展的能力。为此,建议国家把振兴矿业城市与开发大西北、振兴东北老工业基地一样作为一项重大战略性任务来做。     

基于保水采煤理念的地质环境承载力研究

我国西部生态脆弱区采煤引起的水资源破坏和地质环境变化,已经严重制约了矿区经济、社会、环境的可持续发展。通过梳理保水采煤、煤矿区地质环境承载力的研究进展,结合目前西部富煤缺水地区的地质环境现状,提出了基于保水采煤理念的地质环境承载力内涵及基本研究思路。分析认为:基于保水采煤理念的地质环境承载力研究,应将保水采煤理念与地质环境承载力理论有机融合,系统分析"采煤活动—水资源破坏—地质环境效应"作用机理,从寻求煤炭开采、水资源保护、地表生态环境保护3者之间的最优解中阐述内涵。地质环境承载力评价方法研究,可采用属性分析、生态需求分析、数值分析、突变理论等方法,重点研究评价指标的量化方法、综合评价方法、承载能力及承载状态等级划分方法。对于承载能力的计算,可采用模拟实验,取得典型煤矿区承载能力下地质环境与开采强度临界值的关系数据,进而提取出控制和减轻煤矿区地质环境问题的保水采煤技术方法,确定合理的开采强度和规模。在承载力评价和计算的基础上,提出地质环境承载力影响因素的协同监测技术方法,并给出了承载力预警等级判定标准。所提出的基于保水采煤理念的地质环境承载力内涵及基本研究思路,以期丰富和发展保水采煤及地质环境承载力的科学内涵,为西部生态环境脆弱区煤炭资源开发与水资源保护协调发展提供理论与技术支持。