Influence of multi-dimensional environmental knowledge on residents' waste sorting intention: Moderating effect of environmental concern.

With the rapid increase in household waste, environmental degradation becomes more serious. It is imperative to promote waste sorting in China. This study proposes an extended KAB model to explore the impact mechanism of different dimensions of subjective environmental knowledge on urban residents' waste sorting intention.

The therapeutic effect of fraxetin on ethanol-induced hepatic fibrosis by enhancing ethanol metabolism, inhibiting oxidative stress and modulating inflammatory mediators in rats.

The present study was designed to investigate the possible protective effects of fraxetin against ethanol induced liver fibrosis in rats. Rats were underwent intragastric administration of ethanol (5.0-9.

The Coincidence of 3 Different Rare Coronary Artery Anomalies in an Adult Patient With Untreated Kawasaki Disease: Case Report.

The coincidence of 3 different rare coronary artery anomalies is extremely rare, and has not been reported so far.We report multiple imaging findings of a giant coronary artery aneurysm, which has a fistulous connection to the right ventricle associated with anomalous origin of the anterior descending coronary artery from the right coronary artery in a 67-year-old woman who suffered with a 20-year history of progressively chest distress on exertion and a history of untreated Kawasaki disease in her childhood.The patient received surgical treatment.

Automatic information extraction for computerized clinical guideline.

Clinical Guidelines (CG) are recommendations on the appropriate treatment and care of people with specific diseases and conditions. CG should be used by both physicians and patients to make the informed decision. However, the CGs are not well used due to their complexity and because they are frequently updated.

Fine-grained clinical outcome extraction and polarity classification.

Clinical outcome information is helpful for clinicians to understand the effect of a given intervention. Generally speaking, the outcome generated by an intervention has several aspects, and each aspect has different polarity. In this work we adopt structure learning algorithm to extract fine-grained outcome information and then determine the polarity of each aspect by trained classifier.

Automatic extracting of patient-related attributes: disease, age, gender and race.

In the Evidence-based Medicine (EBM), PICO format is designed to easily and correctly search for the best available evidence. As the main element of PICO, the Patient/Problem (P) represents the attributes of patient in the clinical question and studies. In order to better understand the clinical problems, patient attribute identification is crucial and indispensable.

CliniQA : highly reliable clinical question answering system.

Evidence-based medicine (EBM) aims to apply the best available evidences gained from scientific method to clinical decision making. From the computer science point of view, the current bottleneck of applying EBM by a decision maker (either a patient or a physician) is the time-consuming manual retrieval, appraisal, and interpretation of scientific evidences from large volume of and rapidly increasing medical research reports. Patients do not have the expertise to do it.