Creating a dynamic color hologram through the coding method

2017 ◽  
Author(s):  
Liangqin Gan ◽  
Sheng-cai Zeng ◽  
Chengxian Zhou ◽  
Shang-gong Yang
Keyword(s):  
Coding Method

Confound It!

2019 ◽  
Vol 35 (6) ◽  
pp. 855-867 ◽  
Author(s):  
John T. Kulas ◽  
Rachael Klahr ◽  
Lindsey Knights
Keyword(s):  
Social Desirability ◽  
Response Pattern ◽  
Experimental Manipulation ◽  
Scoring Method ◽  
Method Effect ◽  
Coding Method ◽  
The Social ◽  
Current Article ◽  
Method Factors ◽  
Psychological Inventory

Abstract. Many investigators have noted “reverse-coding” method factors when exploring response pattern structure with psychological inventory data. The current article probes for the existence of a confound in these investigations, whereby an item’s level of saturation with socially desirable content tends to covary with the item’s substantive scale keying. We first investigate its existence, demonstrating that 15 of 16 measures that have been previously implicated as exhibiting a reverse-scoring method effect can also be reasonably characterized as exhibiting a scoring key/social desirability confound. A second set of analyses targets the extent to which the confounding variable may confuse interpretation of factor analytic results and documents strong social desirability associations. The results suggest that assessment developers perhaps consider the social desirability scale value of indicators when constructing scale aggregates (and possibly scales when investigating inter-construct associations). Future investigations would ideally disentangle the confound via experimental manipulation.

Framework of a Contour Based Depth Map Coding Method

2012 ◽  
Vol E95.A (8) ◽  
pp. 1270-1279
Author(s):  
Minghui WANG ◽  
Xun HE ◽  
Xin JIN ◽  
Satoshi GOTO
Keyword(s):  
Depth Map ◽  
Coding Method

Analysis of Entrepreneurship Education Model of Technology-Driven Agri-Food Industry Applying Line-by-line Coding Method of Grounded Theory

2019 ◽  
Vol 118 (1) ◽  
pp. 1-7
Author(s):  
Byung-Moon Seol ◽  
Young-Lag KIM
Keyword(s):  
Grounded Theory ◽  
Food Industry ◽  
Entrepreneurship Education ◽  
Educational Institutions ◽  
Theory Approach ◽  
Contextual Knowledge ◽  
Coding Method ◽  
Open Coding ◽  
Education Model ◽  
Information Competency

Background/Objectives: This paper investigated and analyzed the phenomena in implementing the curriculum and characteristics of an entrepreneurship education model existing technology-driven agri-food industry. Methods/Statistical analysis: The line-by-line coding method of grounded theory approach by Strauss & Corbin was applied for this study and the collected data was analyzed with the NVIVO 12 program from QSR which is a tool for analyzing quality comparative analysis for better efficiency in open coding. Findings: The contents and the design of education are drawn from founders who are participants of the education, education supply organizations and lecturers and traits in an education model were derived by analyzing the structural relationship between them. This study reveals that entrepreneurial education with contextual knowledge in the agri-food industry strengthens achievements in boosting up competitiveness for industry, local areas, sales and enhancing the field response-ability. Yet, unbalanced educational contents can be caused by a biased education devoted to technologies only for production and cultivation and a lack of diversity and professionalism. Phenomena in implementing curriculum and characteristics of an education model also reveal a lack of support for educational institutions and trainees and unsatisfactory of overall administration system due to an insufficient post management system. In this paper, an essential education contents needed by the agri-food sector entrepreneur are related to information competency enhancement.

Analysis of Entrepreneurship Education Model of Technology-Driven Agri-Food Industry Applying Line-by-line Coding Method of Grounded Theory

2019 ◽  
Vol 118 (8) ◽  
pp. 266-274
Author(s):  
Byung- MoonSeol ◽  
Young-Lag KIM
Keyword(s):  
Grounded Theory ◽  
Comparative Analysis ◽  
Statistical Analysis ◽  
Food Industry ◽  
Entrepreneurship Education ◽  
Theory Approach ◽  
Coding Method ◽  
Open Coding ◽  
Education Model ◽  
Grounded Theory Approach

Background/Objectives: This paper investigated and analyzed the phenomena in implementing the curriculum and characteristics of an entrepreneurship education model existing technology-driven agri-food industry. Methods/Statistical analysis: The line-by-line coding method of grounded theory approach by Strauss & Corbin was applied for this study and the collected data was analyzed with the NVIVO 12 program from QSR which is a tool for analyzing quality comparative analysis for better efficiency in open coding.

An improvement on structure runlength coding method utilizing.

1989 ◽  
Vol 43 (1) ◽  
pp. 54-59
Author(s):  
Yukihiro Arai ◽  
Takeshi Agui ◽  
Masayuki Nakajima
Keyword(s):  
Coding Method

Secret image sharing and its algebraic coding method

2013 ◽  
Vol 32 (3) ◽  
pp. 669-678
Author(s):  
Xiao-jing WANG ◽  
Jia-jia FANG ◽  
Hong-liang CAI ◽  
Yi-ding WANG
Keyword(s):  
Secret Image Sharing ◽  
Secret Image ◽  
Image Sharing ◽  
Coding Method

A Coding Method of Bayer Pattern Image Based on Wyner-Ziv Structure

2014 ◽  
Vol 35 (3) ◽  
pp. 759-762
Author(s):  
Yong-qiang Cheng ◽  
Ting-yi Zheng ◽  
Run-fang Hao
Keyword(s):  
Bayer Pattern ◽  
Coding Method

scholarly journals Administrative Coding Methods Impact Surgical Site Infection Rates

2020 ◽  
Vol 41 (S1) ◽  
pp. s111-s112
Author(s):  
Mohammed Alsuhaibani ◽  
Mohammed Alzunitan ◽  
Kyle Jenn ◽  
Daniel Diekema ◽  
Michael Edmond ◽  
...  
Keyword(s):  
Cesarean Section ◽  
Surgical Procedures ◽  
Hip Prosthesis ◽  
Knee Prosthesis ◽  
Surgical Site Infections ◽  
Fold Increase ◽  
Abdominal Hysterectomy ◽  
Absolute Difference ◽  
Coding Method ◽  
The Impact

Background: Surveillance for surgical site infections (SSI) is recommended by the CDC. Currently, colon and abdominal hysterectomy SSI rates are publicly available and impact hospital reimbursement. However, the CDC NHSN allows surgical procedures to be abstracted based on International Classification of Diseases, Tenth Revision (ICD-10) or current procedural terminology (CPT) codes. We assessed the impact of using ICD and/or CPT codes on the number of cases abstracted and SSI rates. Methods: We retrieved administrative codes (ICD and/or CPT) for procedures performed at the University of Iowa Hospitals & Clinics over 1 year: October 2018–September 2019. We included 10 procedure types: colon, hysterectomy, cesarean section, breast, cardiac, craniotomy, spinal fusion, laminectomy, hip prosthesis, and knee prosthesis surgeries. We then calculated the number of procedures that would be abstracted if we used different permutations in administration codes: (1) ICD codes only, (2) CPT codes only, (3) both ICD and CPT codes, and (4) at least 1 code from either ICD or CPT. We then calculated the impact on SSI rates based on any of the 4 coding permutations. Results: In total, 9,583 surgical procedures and 180 SSIs were detected during the study period using the fourth method (ICD or CPT codes). Denominators varied according to procedure type and coding method used. The number of procedures abstracted for breast surgery had a >10-fold difference if reported based on ICD only versus ICD or CPT codes (104 vs 1,109). Hip prosthesis had the lowest variation (638 vs 767). For SSI rates, cesarean section showed almost a 3-fold increment (2.6% when using ICD only to 7.32% with both ICD & CPT), whereas abdominal hysterectomy showed nearly a 2-fold increase (1.14% when using CPT only to 2.22% with both ICD & CPT codes). However, SSI rates remained fairly similar for craniotomy (0.14% absolute difference), hip prosthesis (0.24% absolute difference), and colon (0.09% absolute difference) despite differences in the number of abstracted procedures and coding methods. Conclusions: Denominators and SSI rates vary depending on the coding method used. Variations in the number of procedures abstracted and their subsequent impact on SSI rates were not predictable. Variations in coding methods used by hospitals could impact interhospital comparisons and benchmarking, potentially leading to disparities in public reporting and hospital penalties.Funding: NoneDisclosures: None

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