Marketable value estimation of patents using ensemble learning methodology: Focusing on U.S. patents for the electricity sector.

Patent valuation is required to revitalize patent transactions, but calculating a reasonable value that consumers and suppliers could satisfy is difficult. When machine learning is used, a quantitative evaluation based on a large volume of data is possible, and evaluation can be conducted quickly and inexpensively, contributing to the activation of patent transactions. However, due to patent characteristics, securing the necessary training data is challenging because most patents are traded privately to prevent technical information leaks. In this study, the derived marketable value of a patent through event study is used for patent value evaluation, matching it with the semantic information from the patent calculated using latent Dirichlet allocation (LDA)-based topic modeling. In addition, an ensemble learning methodology that combines the predicted values of multiple predictive models was used to determine the prediction stability. Base learners with high predictive power for each fold were different, but the ensemble model that was trained on the base learners' predicted values exceeded the predictive power of the individual models. The Wilcoxon rank-sum test indicated that the superiority of the accuracy of the ensemble model was statistically significant at the 95% significance level.

Surface-Energetic Heterogeneity of Nanoporous Solids for CO2 and CO Adsorption: The Key to an Adsorption Capacity and Selectivity at Low Pressures.

This study has been focused on surface energetic heterogeneity of zeolite (H-mordenite, "HM"), activated carbon ("RB2") and metal-organic framework family ("Z1200") materials and their isotherm features in adsorption of CO2 and CO at 25 degrees C and low pressures ≤ 850 Torr. The nanoporous solids showed not only distinctive shape of adsorption isotherms for CO2 with relatively high polarizability and quadrupole moment but also different capacities in the CO2 adsorption. These differences between the adsorbents could be well correlated with their surface nonuniformity. The most heterogeneous surfaces were found with the HM that gave the highest CO2 uptake at all pressures allowed, while the Z1200 consisted of completely homogeneous surfaces and even CO2 adsorption linearly increased with pressure. An intermediate character was indicated on the surface of RB2 and thus this sorbent possessed isotherm features between the HM and Z1200 in CO2 adsorption. Such different surface energetics was fairly consistent with changes in CO2/CO selectivity on the nanoporous adsorbents up to equilibrated pressures near 850 Torr.

[Development of a scale to measure self-care for korean patients with chronic obstructive pulmonary disease].

PURPOSE: The objective of this study was the development and validation of a scale to measure the self-care of patients with chronic obstructive pulmonary disease(COPD) in Korea. METHOD: Self-care scale was developed based on the self-care activities patients had to carry out in order to manage their COPD. The original scale contained 34 items rated along a five-point Likert scale and was reviewed by 18 professional nurses and 10 Korean patients with COPD for content validity. Subsequently, patients with COPD were asked to complete this 23-item scale and further tests were done with the 125 useable responses. RESULT: Factor analysis identified eight factors- "maintaining a clean air way", "taking medication", "support from family", "preventing infection", "managing symptoms", "breathing exercising", and "taking in nutrition". The internal consistency of the total scale was Cronbach's alpha=0.7226. These eight factors explained 60.8% of total variance. There was correlation among Korean Self-Care Scale score, administration level, and knowledge level but there was no correlation to patients' satisfaction with medical services. CONCLUSION: The 23 item questionnaire positively identified 8 areas defined important for COPD patients. Further studies are required to see how these can be integrated into patient education.