Intelligent Networked (N M) Fault Tolerant Systems for Hydropower Station

智能网络化为（Ｎ＋Ｍ）容错系统实现提供了一条切实可行途径,本文提出了其实现的基本思想和基本方法,并着重讨论其体系结构和智能容错策略．在此基础上,给出了一种基于现场总线的水电站智能网络化（Ｎ＋Ｍ）容错系统的实现方法．这种实现方法具有结构简单,安装维修方便,系统投资少,可靠性高,互操作性强等独特优点,因而具有良好的应用前景．本文提出的基本思想和基本方法不但适用于水电站的调速系统,对其它工业系统也有普遍意义     

Tea and Its Consumption: Benefits and Risks

The recent convention of introducing phytochemicals to support the immune system or combat diseases is a centuries’ old tradition. Nutritional support is an emerging advancement in the domain of diet-based therapies; tea and its constituents are one of the significant components of these strategies to maintain the health and reduce the risk of various malignancies. Tea is the most frequently consumed beverage worldwide, besides water. All the three most popular types of tea, green (unfermented), black (fully fermented), and oolong (semifermented), are manufactured from the leaves of the plant Camellia sinensis. Tea possesses significant antioxidative, anti-inflammatory, antimicrobial, anticarcinogenic, antihypertensive, neuroprotective, cholesterol-lowering, and thermogenic properties. Several research investigations, epidemiological studies, and meta-analyses suggest that tea and its bioactive polyphenolic constituents have numerous beneficial effects on health, including the prevention of many diseases, such as cancer, diabetes, arthritis, cardiovascular disease (CVD), stroke, genital warts, and obesity. Controversies regarding beneficialts and risks of tea consumption still exist but the limitless health-promoting benefits of tea outclass its few reported toxic effects. However, with significant rise in the scientific investigation of role of tea in human life, this review is intended to highlight the beneficial effects and risks associated with tea consumption.     

简便制备具有三层准晶异质结构的加密复合材料

加密材料是信息安全领域的一个主要研究方向,然而将复杂编码的完全隐藏、传输过程中的稳定性、伪装性和可靠的解码方法相结合来实现理想的信息安全,仍具有挑战性.本文报道了一种创新策略,用于合理构建具有高安全性和便携性的加密复合材料.与普通的胶体光子水印相比,这种加密光学器件由热塑性聚氨酯(TPU)保护层、聚苯乙烯(PS)转换层...     

Review: Influence of 25(OH)D Blood Concentration and Supplementation during Pregnancy on Preeclampsia Development and Neonatal Outcomes

Briefly, 25-hydroxyvitamin D (25(OH)D) plays an essential role in embryogenesis and the course of intra- and postnatal periods and is crucially involved in the functioning of the mother–placenta–fetus system. The low quantity of 25(OH)D during pregnancy can lead to an elevated risk for preeclampsia occurrence. Despite the numerous studies on the association of 25(OH)D deficiency and preeclampsia development, the current research on this theme is contradictory. In this review, we summarize and analyze study data on the effects of 25(OH)D deficiency and supplementation on pregnancy, labor, and fetal and neonatal outcomes.     

Physicochemical parameters,bioactive compounds and microbial quality of sonicated pear juice

This study was carried out to investigate the effect of sonication on physicochemical parameters and microorganisms of pear juice. Ultrasound processing of fresh pear juice was done at fixed amplitude [70% (500 W) and frequency (25 kHz) for 0, 15, 30, 45 and 60 min at 25 °C. Total soluble solids, pH, titratable acidity and Ca and Mn remained stable, while the cloud value, ascorbic acid, total phenols, total flavonoids, total antioxidant capacity, sugar contents and Na, K, Fe and Mg showed a significant increase. Decreases in microbial population and P and Cu were also observed. It may be inferred that ultrasound processing for 60 min exhibited optimum results in terms of physicochemical and microbial quality.     

Inpatient diabetes care: complexity,resilience and quality of care

It is estimated that 10–15 % of UK hospital inpatients have diabetes. Poor glycemic control is a care quality problem that has been linked to organizational factors such as inadequate training, inadequate protocols, problems with communication and teamwork, and difficulty coordinating mealtimes. Interventions using specialist diabetes teams have been effective in addressing some of these problems and have led to increased staff and patient self-efficacy and reduced length of stay. The aim of this study was to investigate how inpatient diabetes care is delivered and how resilience is created and/or breaks down, and to identify the implications for quality improvement. In-depth interviews (n = 32) with diabetes specialist and non-specialist staff were conducted in an acute medical admissions environment in an 850-bed teaching hospital. The Critical Decision Method, a content-orientated knowledge elicitation technique, was adapted to guide interview schedules, which explored key decisions, gaps and discontinuities in care and strategies for work system improvement. Care is delivered through the coordination of a multilayered team of different professionals. Specialists provide expertise and problem solving through case-based reasoning using problem-solving skills acquired through past experience. Ward staff focus on processes and immediate patient needs and are more reliant on decision protocols. Gaps in care can occur and result in delays in referring to specialists and clinical inertia. Specialists are a key source of resilience in the system and bridge gaps by acting reactively to problems, proactively monitoring and anticipating problems, providing staff education, and patient support and education. Opportunities for supporting clinicians to bridge gaps in care were identified.     

Software randomness analysis and evaluation of lightweight ciphers: the prospective for IoT security

Multimedia Tools and Applications - In the past few years, various lightweight cryptographic algorithms have been proposed to balance the trade-offs between the requirements of resource constrained...     

SentiML ++: an extension of the SentiML sentiment annotation scheme

The amount of opinionated data on the web has exponentially increased especially after the emergence of online social networks. To deal with these huge deluge of data, we need to have robust mechanisms that can help identify all aspects of opinion segment and support the automatic processing of opinion data. Recently, there have been a few developments made in this direction, and different sentiment annotation schemes have been proposed such as the SentiML, OpinionMiningML, and EmotionML. In this work, we propose SentiML++, an extension of SentiML with a focus on annotating opinions, and further answering aspects of the general question “who has what opinion about whom in which context?”. A detailed comparison with SentiML and other existing annotation schemes is also presented. The data collection annotated with SentiML has been annotated with SentiML++ and is available for download for further research purposes. Experiments with data collections annotated with SentiML and SentiML++ proves that SentiML++ is a significant and valuable addition to SentiML.