In a clinical setting, acupuncture treatment consists of multiple components including somatosensory stimulation, treatment context, and attention to needle-based procedures. In order to dissociate somatosensory versus contextual and attentional aspects of acupuncture, we devised a novel form of placebo acupuncture, a visual manipulation dubbed phantom acupuncture, which reproduces the acupuncture needling ritual without somatosensory tactile stimulation. Subjects (N = 20) received both real (REAL) and phantom (PHNT) acupuncture. Subjects were retrospectively classified into two groups based on PHNT credibility (PHNTc, who found phantom acupuncture credible; and PHNTnc, who did not). Autonomic and psychophysical responses were monitored. We found that PHNT can be delivered in a credible manner. Acupuncture needling, a complex, ritualistic somatosensory intervention, induces sympathetic activation (phasic skin conductance [SC] response), which may be specific to the somatosensory component of acupuncture. In contrast, contextual effects, such as needling credibility, are instead associated with a shift toward relative cardiovagal activation (decreased heart rate) during needling and sympathetic inhibition (decreased SC) and parasympathetic activation (decreased pupil size) following acupuncture needling. Visual stimulation characterizing the needling ritual is an important factor for phasic autonomic responses to acupuncture and may undelie the needling orienting response. Our study suggests that phantom acupuncture can be a viable sham control for acupuncture as it completely excludes the somatosensory component of real needling while maintaining the credibility of the acupuncture treatment context in many subjects.
Obj ect i ves :The purpose of this research is to examine the effects of Sa-am acupuncture Simpojeongkyeok treatment on Hwa-byung. Methods :Hwa-byung.
A fire detection system requires accurate and fast mechanisms to make the right decision in a fire situation. Since most commercial fire detection systems use a simple sensor, their fire recognition accuracy is deficient because of the limitations of the detection capability of the sensor. Existing proposals, which use rule-based algorithms or image-based machine learning can hardly adapt to the changes in the environment because of their static features. Since the legacy fire detection systems and network services do not guarantee data transfer latency, the required need for promptness is unmet. In this paper, we propose a new fire detection system with a multifunctional artificial intelligence framework and a data transfer delay minimization mechanism for the safety of smart cities. The framework includes a set of multiple machine learning algorithms and an adaptive fuzzy algorithm. In addition, Direct-MQTT based on SDN is introduced to solve the traffic concentration problems of the traditional MQTT. We verify the performance of the proposed system in terms of accuracy and delay time and found a fire detection accuracy of over 95%. The end-to-end delay, which comprises the transfer and decision delays, is reduced by an average of 72%.
With the difficulty of collecting desirable training data due to the heterogeneities of IoT sensors in various buildings and the scarcity of fire events, it is time consuming and expensive to apply data-driven deep learning approaches to fire detection systems in specific building environments. Simulation-based learning has been actively researched to mitigate data scarcity problems by reproducing potential fire events. Since simulation-based learning mainly depends on synthetic training data, trained deep learning models may generate erroneous predictions in real-world scenarios that are unlike any of the training samples. In this paper, we propose a trustworthy building fire detection framework based on a multioutput encoder-decoder network, named MEDNet, which is designed for the practical usage of simulation-based learning in building fire detection. The fundamental steps of our approach are (1) modeling and simulating fire events to create realistic synthetic data that reflect data from actual buildings, (2) predicting a fire event and dissimilarities between real input data and synthetic training data based on the trained MEDNet model, and (3) operating a switching mechanism to use a knowledge-based method that does not depend on synthetic training data when dissimilarities exist. Finally, we perform simulation experiments based on a real building compartment where the proposed framework is compared with conventional time-series classification networks on various evaluation datasets. The proposed framework is trustworthy in practical usage because MEDNet with a switching mechanism achieves a 36.65% higher F1-score than conventional time-series classification networks and generates false-positive predictions lower than 0.02% even in unpredictable scenarios.INDEX TERMS Simulation-based learning, deep learning, modeling and simulation, encoder-decoder network, supervised learning-based rare event detection, building fire detection.
Objectives :The Hwabyung Research Center of The Korean Society Of Oriental Neuropsychiatry has attempted to develop the 'Clinical Guidelines for Hwabyung'. Methods :The Hwabyung Research Center constructed a committee of experts and advisory group. Relevant literature was collected and evaluated in order to find out effective Pharmacotherapy (Herbal medicine), acupuncture and moxibustion, and cupping of Hwabyung. Results :We found some evidences that proved the effectiveness of Pharmacotherapy (Herbal medicine), acupuncture and moxibustion, and cupping in the treatment of Hwabyung. 1) We recommend Pharmacotherapy (Herbal medicine), acupuncture and moxibustion, cupping, psychotherapy and management, other therapeutic approaches and education for Hwabyung. 2) Pharmacotherapy (Herbal medicine) should be determined according to the pattern identification of Korean medicine. Further, the prescription should be cost-effective, safe and have no side effects. Also, the interaction between Herbal and Western drugs should be considered carefully. 3) There are general acupuncture, scalp acupuncture, Pharmacopuncture, Sa-am acupuncture as well as acupuncture treatments for Hwabyung. 4) Moxibustion and cupping are useful, relieving various somatic symptoms of Hwabyung. Conclusions :Pharmacotherapy (Herbal medicine), Acupuncture and Moxibustion, Cupping for Hwabyung were studied. We hope that the 'Clinical Guidelines for the Treatment of Hwabyung' are helpful for oriental medical doctors and patients.
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