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For the paper industry, the disposal and management of the yielded sludge are a considerable challenge. In our work, the paper mill sludge-derived magnetically separable heterogeneous catalyst (PMS-Fe-380) was prepared easily through a facile synthesis method. The morphology and structure of PMS-Fe-380 were fully characterized by means of X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy, and Brunauer-Emmet-Teller analysis. The catalytic activity of PMS-Fe-380 was evaluated by degradation of Methylene Blue (MB). The reusability and stability of PMS-Fe-380 were evaluated in five repeated runs, which suggested that PMS-Fe-380 manifested excellent stability of catalytic activity. Moreover, leaching tests indicated that the leached iron is negligible (<0.5mg/L). This study provides an alternative environmentally friendly reuse method for paper mill sludge and a novel catalyst PMS-Fe-380 that can be considered as a promising heterogeneous Fenton-like catalyst., (Copyright © 2015. Published by Elsevier B.V.)

Digital publishing is the process of informatizing the content of traditional publishing. It not only involves the processing of information, but also includes the whole process of digital publishing enterprise management and operation. Compared with traditional publishing, digital publishing has a wider distribution channel with the advantages of more diverse forms and marketing aspects, the transition from traditional digital publishing to digital publishing has become an inevitable trend. But there are still many problems in digital publishing in our country. Including the transformation of digital copyright awareness and maintenance of digital copyright, the source and maintenance of digital publishing technology, and the scarcity of compound talent resources. In order to solve these problems, we must combine the digital publishing industry with modern information technology. This paper builds a digital market preference prediction model based on big data and fuzzy control algorithms. By analyzing and predicting each consumer's usage information, the digital consumer market preference is obtained. This research uses big data and fuzzy control algorithms to build a consumer market preference estimation model for digital publishing transformation. Through the observation of the consumer market, it can promote digital companies to make effective decisions and conduct reasonable organizational analysis, which can further improve The development process of digital publishing transformation promotes the overall development of the enterprise. Through verification, this model has high accuracy and reliability, can support the operation of actual enterprises, and plays an important role in the development of enterprises. Finally, based on the content of the article research, we put forward the following suggestions for the transformation and development of digital enterprises (1) conduct market analysis through big data and fuzzy control technology, and clarify market positioning (2) promote traditional publishing and digital publishing through big data and fuzzy control technology Integrated Development of Publishing (3) Cultivate Excellent Composite Talents for Digital Publishing Transformation. [ABSTRACT FROM AUTHOR]

By the implementation of the EMR in the Primary Care Centers of the City of Buenos Aires, it has been claimed that there is a need to obtain systematic and accurate information about the assessment that patients have about such incorporation. A qualitative research has been carried out in order to answer this query.

Various aspects related to comfort are described in this special issue. Some papers are focused on the environment, like smell, temperature, light, acoustics, space and some on an artefact touching the human, like the floor angle, the seat, a bed and light. However, in this special issue also topics like modelling and behavior get more attention.

BACKGROUND: Physical therapy modalities are often applied in treatment of neurological conditions in children and adolescents. OBJECTIVE: Evaluation of the methodological quality of research focusing on the application of physical therapy modalities in children and adolescents with neurological conditions. METHODS: Papers published between 2007 and 2018 were included in the review. 149 papers were analyzed and finally 26 studies investigating the use of physical therapy modalities in children and adolescents with neurological conditions were included in the review. Jadad scale (0–5) was used to assess the methodological value of the studies. RESULTS: The mean Jadad score was 1.46 (researcher 1) and 1.38 (researcher 2). A score of 0 was awarded to nine (r1) and eight papers (r2). A score of 5 points was awarded to three (r1) and two papers (r2). CONCLUSION: 1. The evidence showing the effectiveness of the use of physical therapy modalities is mainly of low quality. 2. The Jadad scale is a valuable tool to assess the quality of research, although it does not always reflect the real value in the case children participate in studies. 3. The analyzed studies show that physical therapy modalities are effective in the treatment of children and adolescents with neurological disorders. [ABSTRACT FROM AUTHOR]

For many, Covid-19 is a short-term, mildly debilitating disease. But some people are still struggling with monthly symptoms with persistent inflammation, chronic pain and shortness of breath. The situation of "long-term cowardice" has become so debilitating that it is now common for some to say that they are tired even if they walk a short distance. So far, the focus has been on saving lives from the plague. But now there are growing concerns about people facing the long-term consequences of the COVID epidemic. The fundamental question, with the uncertainty of whether those with chronic goiter, or all those affected, will fully recover is raised. In this paper a smart monitoring model was proposed to keep monitoring the COVID patient's health conditions. The smart method keep on watching the different changes reflected in the body conditions and ensure the changes in the database. In case any emergency is raised, then these smart monitoring tools inform the information to the doctors. This can very much helpful for the patients to communicate with the doctors. [ABSTRACT FROM AUTHOR]

BACKGROUND: In todays' society, the rapid development of the wine industry and the improvement of peoples' living standards make people pay more and more attention to wine grape quality. OBJECTIVE: To evaluate the wine grape varieties in Northeast Chinas' grape growing regions for better wine grape quality, we evaluated the quality of different varieties of wine grapes. METHODS: The grape varieties 'Hassan' 'Zuoshaner' 'Beibinghong' 'Zuoyouhong' 'Beta' 'Shuanghong' 'Zijingganlu' 'Cabernet Sauvignon' and 'Syrah' were planted in the grape growing area of Jilin, Northeast China, were used as the subjects of this study. The grape berries were analyzed and tested for morphological indicators, basic physicochemical indicators, color, and phenolic and aromatic composition. RESULTS: According to lab results, 'Hassan' contained the highest amount of total phenolics; 'Zuoyouhong' had the highest solids and total sugar content; 'Shuanghong' had the most elevated total acid and anthocyanin content; 'Zijngganlu' had the highest tannin content and acid fixation ratio; Seventy-one volatile compounds were detected in nine grape varieties. CONCLUSIONS: Each of the nine grape varieties has a distinctive flavor, and because of this, grape processing products with regional flavors can be created. The same offer valuable data for future scientific grape resource collection, conservation, and exploitation. [ABSTRACT FROM AUTHOR]

The Alternative Uses Test is a measure of divergent thinking in which participants are asked to list non-obvious uses for a common object in a fixed amount of time. The goals of this study were to better understand this creativity test, explore how original ideas emerge, and provide suggestions for improvement to the test. Participants were asked to list alternative uses for a paperclip in three minutes. 293 participants, including engineers, designers and students, were tested and evaluated. Using infrequency of responses as a measure of originality, it was found that participants that produced more responses had more original responses. Later responses were significantly more original than early responses and originality of responses increased with quantity. On average, a participant would list 9 responses before arriving at highly original responses. Participants that did not reach 9 responses in the study were likely to have few if any highly original responses. Participants that were more elaborate in their responses had fewer responses in total and therefore fewer original responses. If this test maps to real world idea generation, it suggests that the first ideas we think of are likely to have been suggested already by others and thus not original. The results of this study can help restructure the format of the Alternative Uses Test and provide a database for a digital version of this test. [ABSTRACT FROM AUTHOR]

Quantitative methods for determining the quality of scientific publications evolved gradually from popularity methods to prestige methods. However, existing methods have some drawbacks, such as inability to account for important factors and mutual reinforcement between different entities, and limitation of using novel information techniques like artificial intelligence (AI) methods. This study proposes an intelligent time-aware mutual reinforcement ranking (TAMRR) model that accounts for mutual reinforcement, and temporal factors, such as the time of citation, to measure the prestige of scientific papers. The method also considers the distribution of the co-authors' contributions, which indicates the credit allocation of citations. Moreover, mutual reinforcement which indicates interactive impact between different entities by means of the extension of an AI algorithm, i.e., Hyperlink-Induced Topics Search (HITS) algorithm, is adopted to further explore the interactions of papers, journals and authors. Another AI algorithm, i.e., PageRank, is also enhanced to measure the prestige of papers, journals, and authors in citation networks, which are then used as the inputs to the modified HITS. Experiments on temporal factors and heterogeneous networks reveal that these factors are likely to be informative in prestige measurements. Analysis of correlations suggests that our proposed intelligent ranking method is reasonable. This study offers an intelligent method for researchers, authors, and entrepreneurs to quantify the importance of scientific papers and the conclusions are likely to be of importance for researchers in both the academic and enterprise domains. [ABSTRACT FROM AUTHOR]