Investigation of Financial Statements Under the Framework of Harvard Analysis Xin Li, Zhenggan Cai*, Xiaoyan Wu and Long Chen Abstract In the last decade, great changes have taken place in financial transactions. The number of investors has increased significantly. In view of the instability of the financial market, the trading
Category: Volume 2 Issue 1
Potentials of Proteomics in Plant Improvement
Potentials of Proteomics in Plant Improvement E.E. Okoli1*, M.J. Nworji1, and C. M. Okoronkwo2 Abstract The large-scale study of proteins is referred to as proteomics and is often regarded as an emerging technology when compared to genomics or transcriptomics, that is, as not having reached the same level of maturity.
Response of Different Sweet Potato (Ipomoea batatas Lam) Cultivars to Different Levels of NPK 15:15:15 in Igbariam, Anambra State, Nigeria
Response of Different Sweet Potato (Ipomoea batatas Lam) Cultivars to Different Levels of NPK 15:15:15 in Igbariam, Anambra State, Nigeria Evans E. Okoli1* and M.J. Nworji2 Abstract A research study on the response of different sweet potato cultivars to different levels of NPK 15:15:15 in Igbariam Anambra State, Nigeria was
Modeling of single-vehicle crash severity at intersections based on full Bayesian model
Modeling of single-vehicle crash severity at intersections based on full Bayesian model Zhenggan Cai1*, Xin Li1, Long Chen1, Xiaoyan Wu1, Xu Yao2 Abstract In order to explore the factors that have a significant impact on the severity of single-vehicle crashes at intersections, we take 2940 crashes at intersections in Zibo
Effect of Multiple Intelligences Instructional Strategy on Achievement and Retention in Mole Concept Among Chemistry Students in Abuja, Nigeria
Effect of Multiple Intelligences Instructional Strategy on Achievement and Retention in Mole Concept Among Chemistry Students in Abuja, Nigeria Ojiyi C. A1* and Agu P. A.2 Abstract This study examined the Effect of Multiple Intelligences Instructional Strategy (MIIS) on Achievement and Retention in Mole Concept among Chemistry Students in Abuja,
Big Data in Manufacturing
Big Data in Manufacturing Matthew N. O. Sadiku1*, Tolulope J. Ashaolu2, Abayomi Ajayi-Majebi3 and Sarhan M. Musa1 Abstract In the data-driven economy, turning data into actionable analytics is the best way to boost efficiency, quality, and productivity. The manufacturing processes are getting more and more complex due to increasing demands.