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Qicai Wang,Yuan Tao,Jie Yuan,Zhaohui Jiang,Zuowei Ding,Zhongwei Zhang,Zhao Jia,Jing Wang 한국섬유공학회 2019 Fibers and polymers Vol.20 No.4
Different sensations are generated when we touch textiles with different performance. The mechanical propertiesrelated to fabric touch have been studied for a long time, the relationship between which and the subjective feelings is wellunderstood. However, the cognitive mechanism of our brain on the tactile perception evoked by fabric touch were rarelystudied. The relationship between mechanical properties of fabrics and the brain response in different areas is the vacancy ofthe study but urgent problem. In our previous study, the advanced technology of fMRI was proved to be an effective tool fordetecting brain response evoked by tactile stimulation of fabric touch with high spatial resolution. Now in this study, furtherfMRI experiments were conducted to observe brain response when participants touched different fabrics using their fingers ina specified way, and the most widely recognized functional atlas, Brodmann’s area maps, were applied to locate the corticalactivations in functional areas. Activations in the participants’s brain in different Brodmann areas was compared with themechanical preperties of the fabric samples tested by the instruments of KES-FB. The results showed that activationinformation in the participants’ brain can distinguish the fabric samples very well. Activations in several Brodmann areas areclosely connected with different tactile preperties of the fabrics. Therefore, Brodmann’s area maps were proved to be a usefulfunctional atlas for cortical localization of tactile perception evoked by fabric touch.
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Pingchuan Xia,Houyuan Lv,Chenghua Yuan,Wanru Duan,Jiachen Wang,Jian Guan,Yueqi Du,Can Zhang,Zhenlei Liu,Kai Wang,Zuowei Wang,Xingwen Wang,Hao Wu,Zan Chen,Fengzeng Jian 대한척추신경외과학회 2024 Neurospine Vol.21 No.1
Objective: Surgical procedures for patients with posttraumatic syringomyelia (PTS) remain controversial. Until now, there have been no effective quantitative evaluation methods to assist in selecting appropriate surgical plans before surgery. Methods: We consecutively enrolled PTS patients (arachnoid lysis group, n = 42; shunting group, n = 14) from 2003 to 2023. Additionally, 19 intrathecal anesthesia patients were included in the control group. All patients with PTS underwent physical and neurological examinations and spinal magnetic resonance imaging preoperatively, 3–12 months postoperatively and during the last follow-up. Preoperative lumbar puncture was performed and blood-spinal cord barrier disruption was detected by quotient of albumin (Qalb, cerebrospinal fluid/serum). Results: The ages (p = 0.324) and sex (p = 0.065) of the PTS and control groups did not differ significantly. There were also no significant differences in age (p = 0.216), routine blood data and prognosis (p = 0.399) between the arachnoid lysis and shunting groups. But the QAlb level of PTS patients was significantly higher than that of the control group (p < 0.001), and the shunting group had a significantly higher QAlb (p < 0.001) than the arachnoid lysis group. A high preoperative QAlb (odds ratio, 1.091; 95% confidence interval, 1.004–1.187; p = 0.041) was identified as the predictive factor for the shunting procedure, with the receiver operating characteristic curve showing 100% specificity and 80.95% sensitivity for patients with a QAlb > 12.67. Conclusion: Preoperative QAlb is a significant predictive factor for the types of surgery. For PTS patients with a QAlb > 12.67, shunting represents the final recourse, necessitating the exploration and development of novel treatments for these patients.
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A Noninvasive Online System for Biomass Monitoring in Shaker Flasks Using Backward Scattered Light
Jian Mao,Yingge Yan,Olaf Eichstädt,Xianshuai Chen,Zuowei Wang,Jinming Cui 한국생물공학회 2017 Biotechnology and Bioprocess Engineering Vol.22 No.2
This paper presents a noninvasive optical sensor system for monitoring cell growth in shaker flasks commonly used in biological laboratories. The system uses an open-source microprocessor board to monitor concentration of Escherichia coli host cells. To allow measurement for a range of filling degrees and shaker speeds, the backscattering angle is chosen to minimize interference from surface reflections and the measurement window is synchronized to the position of the shaker flask. A nonlinear calibration model of scattered light can predict offline optical density with a mean relative error of 5.2%, an accuracy which is comparable to the classical offline method and sufficient for biotechnology applications.
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