Xiangjuan Jia¹, Jing Xu¹, Mengwei Han¹, Qing Zhang¹, Lu Zhang¹, Xiaofeng Chen^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1491-1523, 2023, DOI:10.32604/cmes.2023.026357

Abstract As one of the most concerned digital technologies in recent years, blockchain and distributed ledger technology are an important driving force for a new round of technological development. It is currently in the process of accelerating its evolution and maturity, and has gradually integrated with other digital technologies. It has been applied in many industries, providing decentralized solutions for various industries, realizing innovative storage models, and building a new trust system. As blockchain technology is officially incorporated into China’s new information infrastructure category, the application fields of blockchain have expanded rapidly, gradually extending from the financial field and government affairs… More >

Honghong Wang¹, Zhixin Xiong^1,*, Yunchao Hu¹, Zhijian Liu¹, Long Liang²

Journal of Renewable Materials, Vol.11, No.6, pp. 2713-2727, 2023, DOI:10.32604/jrm.2023.025817

Abstract This study aims to realize the sharing of near-infrared analysis models of lignin and holocellulose content in pulp wood on two different batches of spectrometers and proposes a combined algorithm of SPA-DS, MCUVE-DS and SiPLS-DS. The Successive Projection Algorithm (SPA), the Monte-Carlo of Uninformative Variable Elimination (MCUVE) and the Synergy Interval Partial Least Squares (SiPLS) algorithms are respectively used to reduce the adverse effects of redundant information in the transmission process of the full spectrum DS algorithm model. These three algorithms can improve model transfer accuracy and efficiency and reduce the manpower and material consumption required for modeling. These results… More >

Fiaz Majeed¹, Muhammad Shoaib², Monagi H. Alkinani³, Wazir Zada Khan⁴, Shahzada Khurram⁵, Akber Abid Gardezi⁶, Muhammad Shafiq^7,*

Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 285-299, 2022, DOI:10.32604/iasc.2022.015488

Abstract Relational databases are still important in modern times due to their many advantages, such as ease of interaction, simplicity and data integrity. In this regard, structured query language (SQL) and technical knowledge about database schemas are the basic building blocks for retrieving information from relational databases. Generally, non-expert users cannot skillfully write technical queries on the target database. To this end, many database natural language interfaces (NLIDB) have been developed to greatly facilitate users. However, each system provides a different interface for new users, so beginners can use different interactive modes to enter keyword-based queries. For users, migrating from one… More >

Rahul H. Rathod^1,2, Brittney Jurgen^1,2, Rose A. Hamershock³, Kevin G. Friedman^1,2, Audrey C. Marshall^1,2, Mihail Samnaliev⁴, Dionne A. Graham³, Kathy Jenkins^1,2, James E. Lock^1,2, Andrew J. Powell^1,2

Congenital Heart Disease, Vol.12, No.6, pp. 768-776, 2017, DOI:10.1111/chd.12508

Abstract Background: Standardized Clinical Assessment and Management Plans (SCAMPs) are a quality improvement initiative designed to reduce unnecessary utilization, decrease practice variation, and improve patient outcomes. We created a novel methodology, the SCAMP managed episode of care (SMEOC), which encompasses multiple encounters to assess the impact of the arterial switch operation (ASO) SCAMP on total costs.
Methods: All ASO SCAMP patients (dates March 2009 to July 2015) were compared to a control group of ASO patients (January 2001 to February 2009). Patients were divided into “younger” (<2 years) and “older” (2–18 years) subgroups. Utilization included all cardiology visits, tests, and procedures.… More >

Daniel E. Ehrmann¹, Matthew Mulvahill², Shaunda Harendt^1,3, Jessica Church¹, Amy Stimmler¹, Piyagarnt Vichayavilas^1,4, Sanja Batz^1,5, Jennifer Rodgers^1,5, Michael DiMaria¹, James Jaggers¹, Cindy Barrett¹, Jon Kaufman¹

Congenital Heart Disease, Vol.13, No.1, pp. 31-37, 2018, DOI: 10.1111/chd.12550

Abstract Background: Feeding practices after neonatal and congenital heart surgery are complicated and variable, which may be associated with prolonged hospitalization length of stay (LOS). Systematic assessment of feeding skills after cardiac surgery may earlier identify those likely to have protracted feeding difficulties, which may promote standardization of care.
Methods: Neonates and infants ≤3 months old admitted for their first cardiac surgery were retrospectively identified during a 1-year period at a single center. A systematic feeding readiness assessment (FRA) was utilized to score infant feeding skills. FRA scores were assigned immediately prior to surgery and 1, 2, and 3 weeks after… More >

Young-Sook Roh¹, Lan Chung², Seung-Ho Cho², Se-Hyun Yoon², Jung-Tae Noh

The International Conference on Computational & Experimental Engineering and Sciences, Vol.8, No.4, pp. 157-164, 2008, DOI:10.3970/icces.2008.008.157

Abstract The purpose of this research is to develop a new technique to measure the corrosion level of reinforcing rebar which embedded in reinforced concrete structures using infrared(IR) thermographical image. IR thermography has been used various applications for non-destructive test(NDT) area, however, IR thermographical data depend on many parameters that the assessment of reliability and stability becomes very important issue to utilize IR thermographical system. This study presents a technique to quantitatively measure the corrosion level of a reinforcing bar using proposed infrared thermography measurement system. We found out electric heating method has an important effect on active IR thermography at… More >