For at least 2,500 years, acupuncture has been an integral part of traditional Chinese medicine. However, recently as more people in western countries are diagnosed with chronic disease poorly treated with modern medical therapies, many are turning to acupuncture and other forms of alternative medical treatments. Based on the theory of harmonious flowing qi being the basis of good health, acupuncture focuses on restoring qi by manipulation of the complementary and opposing elements of yin and yang. However, in the modern medical community we struggle to with the concept of qi, given a lack of anatomic and histological evidence supporting its existence. However, with the surge in public interest in acupuncture, the scientific community begun heavy investigation of acupuncture's efficacy, as well as the physiologic basis behind it. Thus far, evidence supports the use of acupuncture in post-operative nausea and vomiting, postoperative dental pain, chronic pain conditions such as lower back pain, and possibly also such psychologic conditions as addiction. It is possible that by affecting afferent nerve signaling, acupuncture may influence the release of endogenous opioids to promote pain relief. This effect may be augmented by release of ACTH and cortisol, as well as through down-regulation of signaling through pain fibers. When treating patients who may utilize alternative forms of medicine, it is important that medical practitioners be educated in regards to the basic fundamental beliefs behind acupuncture, as well as the scientific evidence supporting its use and revealing its efficacy. The purpose of this review is to give western trained physicians exposure to history, basic knowledge and its clinical applications of acupuncture to accommodate accelerating interests in acupuncture in modern society.

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Voltage-gated calcium channels (Ca v ) 2.2 currents are potentiated by phorbol-12-myristate, 13-acetate (PMA), whereas Ca v 2.3 currents are increased by both PMA and acetyl-␤-methylcholine (MCh). MCh-selective sites were identified in the ␣ 1 2.3 subunit, whereas the identified PMA sites responded to both PMA and MCh (Kamatchi, G. L., Franke, R., Lynch, C., III, and Sando, J. J.

Abstract.A Global Carbon Assimilation System based on the ensemble Kalman filter (GCAS-EK) is developed for assimilating atmospheric CO 2 data into an ecosystem model to simultaneously estimate the surface carbon fluxes and atmospheric CO 2 distribution. This assimilation approach is similar to CarbonTracker, but with several new developments, including inclusion of atmospheric CO 2 concentration in state vectors, using the ensemble Kalman filter (EnKF) with 1-week assimilation windows, using analysis states to iteratively estimate ensemble forecast errors, and a maximum likelihood estimation of the inflation factors of the forecast and observation errors. The proposed assimilation approach is used to estimate the terrestrial ecosystem carbon fluxes and atmospheric CO 2 distributions from 2002 to 2008. The results show that this assimilation approach can effectively reduce the biases and uncertainties of the carbon fluxes simulated by the ecosystem model.

Abstract. Complex regional pain syndrome (CRPS) is a chronic pain syndrome that causes intractable pain, disability, and poor quality of life for patients. The etiology and pathophysiology of CRPS are still poorly understood. Due to a lack of proper diagnostic tools, the prognosis of CRPS is primarily based on clinical observation. The objective of this work is to evaluate a new imaging modality, photoacoustic microscopy (PAM), for assisting diagnoses and monitoring the progress and treatment outcome of CRPS. Blood vasculature and oxygen saturation (sO 2 ) were imaged by PAM from eight adult patients with CRPS-1. Patients' hands and cuticles were imaged both before and after stellate ganglion block (SGB) for comparison. For all patients, both vascular structure and sO 2 could be assessed by PAM. In addition, more vessels and stronger signals were observed after SGB. The results show that PAM can help diagnose and monitor CRPS.

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In this paper, a global carbon assimilation system (GCAS) is developed for optimizing the global land surface carbon flux at 1°resolution using multiple ecosystem models. In GCAS, three ecosystem models, Boreal Ecosystem Productivity Simulator, Carnegie-Ames-Stanford Approach, and Community Atmosphere Biosphere Land Exchange, produce the prior fluxes, and an atmospheric transport model, Model for OZone And Related chemical Tracers, is used to calculate atmospheric CO 2 concentrations resulting from these prior fluxes. A local ensemble Kalman filter is developed to assimilate atmospheric CO 2 data observed at 92 stations to optimize the carbon flux for six land regions, and the Bayesian model averaging method is implemented in GCAS to calculate the weighted average of the optimized fluxes based on individual ecosystem models. The weights for the models are found according to the closeness of their forecasted CO 2 concentration to observation. Results of this study show that the model weights vary in time and space, allowing for an optimum utilization of different strengths of different ecosystem models. It is also demonstrated that spatial localization is an effective technique to avoid spurious optimization results for regions that are not well constrained by the atmospheric data. Based on the multimodel optimized flux from GCAS, we found that the average global terrestrial carbon sink over the 2002-2008 period is 2.97 ± 1.1 PgC yr À1, and the sinks are 0.88 ± 0.52, 0.27 ± 0.33, 0.67 ± 0.39, 0.90 ± 0.68, 0.21 ± 0.31, and 0.04 ± 0.08 PgC yr À1 for the North America, South America, Africa, Eurasia, Tropical Asia, and Australia, respectively. This multimodel GCAS can be used to improve global carbon cycle estimation.

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