Ning Chen¹, Hui Li², Xinxin Fan^{3, 4}, Weiliang Kong¹, Yonghong Xie^{3, 4, *}

Journal on Artificial Intelligence, Vol.2, No.3, pp. 149-155, 2020, DOI:10.32604/jai.2020.09888

Abstract In recent years, there are some problems in science and technology management, such as untimely task supervision and independent information system, which makes it difficult to achieve accurate, quantitative and standardized management. The storage of scientific research test data is scattered, and there are many deficiencies in the management, promotion and use of existing intellectual property. In this paper, on the basis of the knowledge economy, intelligence economy under the conditions of knowledge management concept and cutting-edge technology, technology management and service management related data, information, knowledge, method of blend together. Based on science and technology management, knowledge management as… More >

Hangjun Zhou¹, Tingting Shen^{1, *}, Xinglian Liu¹, Yurong Zhang¹, Peng Guo^{1, 2}, Jianjun Zhang³

Journal on Artificial Intelligence, Vol.2, No.2, pp. 89-101, 2020, DOI:10.32604/jai.2020.09968

Abstract With the advent of the era of big data, knowledge engineering has received extensive attention. How to extract useful knowledge from massive data is the key to big data analysis. Knowledge graph technology is an important part of artificial intelligence, which provides a method to extract structured knowledge from massive texts and images, and has broad application prospects. The knowledge base with semantic processing capability and open interconnection ability can be used to generate application value in intelligent information services such as intelligent search, intelligent question answering and personalized recommendation. Although knowledge graph has been applied to various systems, the… More >

Brett Snodgrass, Aruna Chilakala

Congenital Heart Disease, Vol.12, No.5, pp. 647-648, 2017, DOI:10.1111/chd.12522

Abstract This article has no abstract. More >

Elise D. Pieterman^1,2, Ricardo P. J. Budde², Danielle Robbers-Visser^1,2, Ron T. van Domburg³, Willem A. Helbing^1,2

Congenital Heart Disease, Vol.12, No.5, pp. 561-569, 2017, DOI:10.1111/chd.12484

Abstract Objective: Follow-up of right ventricular performance is important for patients with congenital heart disease. Cardiac magnetic resonance imaging is optimal for this purpose. However, observerdependency of manual analysis of right ventricular volumes limit its use. Knowledge-based reconstruction is a new semiautomatic analysis tool that uses a database including knowledge of right ventricular shape in various congenital heart diseases. We evaluated whether knowledge-based reconstruction is a good alternative for conventional analysis.
Design: To assess the inter- and intra-observer variability and agreement of knowledge-based versus conventional analysis of magnetic resonance right ventricular volumes, analysis was done by two observers in a mixed… More >

Joshua Saef¹, Sandeep Sodhi¹, Kristen M. Tecson², Vanessa al Rashida¹, Jong Mi Ko², Kamila S. White³, Philip A. Ludbrook¹, Ari M. Cedars⁴

Congenital Heart Disease, Vol.13, No.6, pp. 967-977, 2018, DOI:10.1111/chd.12668

Abstract Objective: Growth in the adults with congenital heart disease (ACHD) population represents a challenge to the health care infrastructure. As patients with chronic disease are increasingly held accountable for their own care, contributors to disease‐ specific health knowledge, which are known to correlate with patients’ participation in care, merit investigation to design patient‐focused interventions.
Design: We conducted a single‐site, cross‐sectional study of ACHD patients. Investigators retrospectively gathered clinical data as well as psychometric and health status assessments completed at the time of enrollment.
Outcome Measures: We investigated the impact of clinical and psychological varia‐ bles on Leuven Knowledge Questionnaire for… More >

Paul C. Helm¹, Sebastian Kempert², Marc-André Körten¹, Wiebke Lesch³, Katharina Specht³, Ulrike M. M. Bauer^1,3

Congenital Heart Disease, Vol.13, No.3, pp. 377-383, 2018, DOI:10.1111/chd.12581

Abstract Background: Children and adolescents with congenital heart disease (CHD) and their families require qualified combined medical and psychosocial information, care, and counseling. This study aimed to analyze CHD patients’ and parents’ perception of disease-specific knowledge, state of health, and impairments experienced in everyday life, as well as factors influencing these perceptions.
Materials and Methods: Analyses were based on a survey among patients/parents recruited via the German National Register for Congenital Heart Defects (NRCHD). The total sample (N = 818) was divided into four groups: “Children” (176 patients), “Adolescents” (142 patients), “Adults” (269 patients), and “Parents” (231 parents). The patients were… More >

Moya ME^1,2, AA Galussi^1,2, MJ Gómez^1,2, FG Marchese^1,2

Phyton-International Journal of Experimental Botany, Vol.84, No.1, pp. 176-183, 2015, DOI:10.32604/phyton.2015.84.176

Abstract The aim of the present work was to analyze the foliar anatomy in lamina transverse section an in epidermis superficial view of Mnesithea selloana. Epidermic preparations and transections were carried out of the medium leaf part of sterile innovations that were conditioned and observed with optic microscope (OM) and scanning electron microscope (SEM).The histofoliar characteristics observed were: epidermic, intercostal, subsidiary, suberose, silicea and bulliform cells; and also guard cells, hairs, waxes, mesophylls, Kranz sheath, vascular bundles, sclerenchyma, colourless parenchyma and leaf margin. Epidermic observations showed that M. selloana presents a panicoid type epidermis presenting silicic cells as halteriforme, longer than… More >

Magwede K¹, MP Tshisikhawe¹, D Luseba², RB Bhat¹

Phyton-International Journal of Experimental Botany, Vol.83, pp. 155-165, 2014, DOI:10.32604/phyton.2014.83.155

Abstract The documentation of traditional knowledge on medicinal use of plants has provided many important drugs that are used worldwide on a daily basis. Traditional remedies had been (and still are) the main source of livestock ailment treatments, especially in regions of poor resources of the Vhembe District, South Africa. In many rural areas of the Republic of South Africa, traditional medicine is sometimes the only available modern orthodox health care for managing both human and animal health. Much work remains to be done regarding the documentation of the existing ethnobotanical knowledge. In this work, we report an inventory list of… More >

Chuanrong Wu^{1, *}, Evgeniya Zapevalova¹, Yingwu Chen², Deming Zeng³, Francis Liu⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.116, No.1, pp. 89-107, 2018, DOI:10.31614/cmes.2018.04041

Abstract With market competition becoming fiercer, enterprises must update their products by constantly assimilating new big data knowledge and private knowledge to maintain their market shares at different time points in the big data environment. Typically, there is mutual influence between each knowledge transfer if the time interval is not too long. It is necessary to study the problem of continuous knowledge transfer in the big data environment. Based on research on one-time knowledge transfer, a model of continuous knowledge transfer is presented, which can consider the interaction between knowledge transfer and determine the optimal knowledge transfer time at different time… More >

Selma B. Jaconis^1,*, Augusto T. Morita², Paulo L. A. Coutinho³, Suzana Borschiver¹

Journal of Renewable Materials, Vol.7, No.11, pp. 1221-1230, 2019, DOI:10.32604/jrm.2019.00025

Abstract In recent years environmental and sustainability concerns have impacted the global chemical industry and instituted a rush to produce products from renewable raw materials. This dynamic, complex and turbulent organizational scenario, around themes touching on the issue of sustainable development model, was created involving a large number of different actors: chemical/petrochemical industries, agroindustry companies, oil/gas companies, brand owners and end users, biotechnology startups, governments, universities and society. This paper proposed the application of a structured and dynamic method of technological prediction for biopolymers in three levels: systematic monitoring process, relational database and the “alive” Technology Roadmapping visualization tool. The main… More >