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Measuring the Environmental Efficiency and Technology Gap of PM2.5 in China's Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model.
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Measuring the Environmental Efficiency and Technology Gap of PM2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model.

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Since air pollution is an important factor hindering China’s economic development, China has passed a series of bills to control air pollution. However, we still lack an understanding of the status of environmental efficiency in regard to air pollution, especially PM2.5 (diameter of fine particulate matter less than 2.5 μm) pollution. Using panel data on ten major Chinese city groups from 2004 to 2016, we first estimate the environmental efficiency of PM2.5 by epsilon-based measure (EBM) meta-frontier model. The results show that there are large differences in PM2.5 environmental efficiency between cities and city groups.
The cities with the highest environmental efficiency are the most economically developed cities and the city group with the highest environmental efficiency is mainly the eastern city group. Then, we use the meta-frontier Malmquist EBM model to measure the meta-frontier Malmquist total factor productivity index (MMPI) in each city group. The results indicate that, overall, China’s environmental total factor productivity declined by 3.68% and 3.49% when considering or not the influence of outside sources, respectively.
Finally, we decompose the MMPI into four indexes, namely, the efficiency change (EC) index, the best practice gap change (BPC) index, the pure technological catch-up (PTCU) index, and the frontier catch-up (FCU) index. We find that the trend of the MMPI is consistent with those of the BPC and PTCU indexes, which indicates that the innovation effect of the BPC and PTCU indexes are the main driving forces for productivity growth. The EC and FCU effect are the main forces hindering productivity growth.

An epistemological problem for integration in EBM.

Evidence-based medicine (EBM) calls for medical practitioners to “integrate” our best available evidence into clinical practice. A significant amount of the literature on EBM takes this integration to be unproblematic, focusing on questions like how to interpret evidence and engage with patient values, rather than critically looking at how these features of EBM can be implemented together.
Other authors have also commented on this gap in the literature, for example, identifying the lack of clarity about how patient preferences and evidence from trials is supposed to be integrated in practice. In this paper, I look at this issue from an epistemological perspective, (looking at how different types of knowledge in EBM can be used to make sounds judgements).
In particular, I introduce an epistemological issue for this integration problem, which I call the epistemic integration problem. This is essentially the problem of how we can use information that is both general (eg, about a population sample) and descriptive (eg, about what expected outcomes are) to reach clinical judgements that are individualized (applying to a particular patient) and normative (about what is best for their health).
Measuring the Environmental Efficiency and Technology Gap of PM2.5 in China's Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model.

Nimura lecture: “Three EBMs“.

The three EBMs in the title refer to the following concepts: evidence-based medicine, experience-based medicine, and echo-based medicine. Evidence-based medicine: I have carried out the following clinical research using transthoracic Doppler echocardiography: (1) noninvasive pulsed-wave Doppler echocardiographic detection of the direction of shunt flow in patients with atrial septal defect: usefulness of the right parasternal approach (1985), (2) significance of laminar systolic regurgitant flow in patients with tricuspid regurgitation: a combined pulsed-wave, continuous-wave, and two-dimensional echocardiography (1990), (3) obstruction of the inferior vena caval orifice by the giant left atrium in patients with mitral stenosis: a Doppler echocardiographic study from the right parasternal approach (1992), and (4) demonstration of a localized acceleration flow signal in the transmural penetrating coronary artery using transthoracic color and pulsed-wave Doppler echocardiography in patients with hypertrophic cardiomyopathy (1996-2017).
Experience-based medicine: Dr. Eugene Braunwald says “The best book of cardiology is the patient itself.” I have conducted my modest research activities gleaning hints through day-to-day routine work and sometimes investigating experimentally using the Doppler echocardiographic method. I have also learned from the Japanese Society of Echocardiography that a physician should stand between evidence-based medicine and experience-based medicine. Echo-based medicine:
This term is intended to express my personal determination. I believe that echocardiography is the stethoscope of the 21st century. It is a safe, painless, low-cost, and repeatable tool at the bedside. I expect that echocardiography can reduce unnecessary healthcare costs and appropriately select reasonable examinations for patients. I would like to devote the time left in my career to the study of cardiovascular medicine, believing in the power of echocardiography and the Doppler method to provide a link between evidence-based medicine and experience-based medicine.

An ICA-EBM-Based sEMG Classifier for Recognizing Lower Limb Movements in Individuals With and Without Knee Pathology.

Surface electromyography (sEMG) data acquired during lower limb movements has the potential for investigating knee pathology. Nevertheless, a major challenge encountered with sEMG signals generated by lower limb movements is the intersubject variability, because the signals recorded from the leg or thigh muscles are contingent on the characteristics of a subject such as gait activity and muscle structure. In order to cope with this difficulty, we have designed a three-step classification scheme.
First, the multichannel sEMG is decomposed into activities of the underlying sources by means of independent component analysis via entropy bound minimization. Next, a set of time-domain features, which would best discriminate various movements, are extracted from the source estimates. Finally, the feature selection is performed with the help of the Fisher score and a scree-plot-based statistical technique, prior to feeding the dimension-reduced features to the linear discriminant analysis.

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Luciferase Reporter Gene Assay Kit

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The investigation involves 11 healthy subjects and 11 individuals with knee pathology performing three different lower limb movements, namely, walking, sitting, and standing, which yielded an average classification accuracy of 96.1% and 86.2%, respectively. While the outcome of this study per se is very encouraging, with suitable improvement, the clinical application of such an sEMG-based pattern recognition system that distinguishes healthy and knee pathological subjects would be an attractive consequence.
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  • Structural Changes in Chromosomes
  • Cell growth
  • Measuring the Environmental Efficiency and Technology Gap of PM2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model.
  • Surface Roughness Characterisation and Analysis of the Electron Beam Melting (EBM) Process.

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