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Background: In hyperbaric oxygen therapy (HBOT), a patient is exposed to pure oxygen in a chamber. While HBOT is a long-standing and well-established treatment for a wide variety of medical conditions, one of the main complications is middle ear barotrauma (MEB), which can lead to complaints of ear discomfort, stuffiness or fullness in the ear, and difficulties in equalizing ear pressure. The aim of this study is to evaluate the efficacy of self-acupressure in preventing and reducing the degree of MEB associated with HBOT. Methods: This is a prospective nonrandomized controlled study. A sample of 152 participants will be assigned to 2 groups in a 1:1 ratio. The participants in the control group will receive conventional Valsalva and Toynbee maneuvers, while those in the experimental group will be given additional self-acupressure therapy. The acupoints used will be TE17 (Yifeng), TE21 (Ermen), SI19 (Tinggong), and GB2 (Tinghui). The Modified Teed Classification, symptoms of MEB, and overall ear discomfort levels will be assessed. Data will be analyzed using the Chi-Squared test or t test. Objectives: This study aims to evaluate the efficacy of self-acupressure for preventing and reducing the degree of MEB associated with HBOT. Trial registration: ClinicalTrials.gov Identifier: NCT04311437. Registered on 17 March, 2020.

Firstly a model of decline rate of the total energy intensity is established by using the index decomposition method in the paper. The influence of industrial structure, industrial energy intensity and industrial energy structure on the decline rate of the total energy intensity can be analyzed by using the model. Secondly an empirical analysis of decline rate of the total energy intensity of Jiangsu Province is considered. It has been confirmed that the shortage of the effect of energy intensity and industrial energy structure causes the decline rate to rise by 0.83314% only in 2005 compared to that in 2000.

Firstly, energy saving is defined as the difference between actual energy intensity and anticipated energy intensity. And a model for measuring and appraisal of energy saving is established by using Taylor series in the paper. Secondly, analysis shows that if anticipated energy intensity is given, energy saving should be influenced mainly by two factors-the growth rate of energy consumption and production. The model can be used to calculate energy saving and to estimate its state. Finally, an empirical analysis of electricity saving of JiangSu province during 1995-2006 is provided to prove the model to be effective.