This paper presents a novel tactile feedback device in biofeedback. With apparent motion of tactual sense applied, the device gives the patient the ability to perform biofeedback in tactile and visual ways, and thus makes the patient more relaxed than other cases. With various types of feedbacks, the device can be satisfying and effective.

In order to investigate in greater detail the two methods based on Hertz model for analyzing force-distance curve obtained by atomic force microscopy, we acquired the force-distance curves of Hela and MCF-7 cells by atomic force microscopy (AFM) indentation in this study. After the determination of contact point, Young's modulus in different indentation depth were calculated with two analysis methods of "two point" and "slope fitting". The results showed that the Young's modulus of Hela cell was higher than that of MCF-7 cell,which is in accordance with the F-actin distribution of the two types of cell. We found that the Young's modulus of the cells was decreased with increasing indentation depth and the curve trends by "slope fitting". This indicated that the "slope fitting" method could reduce the error caused by the miscalculation of contact point. The purpose of this study was to provide a guidance for researcher to choose an appropriate method for analyzing AFM indentation force-distance curve.
Actins ; Elastic Modulus ; HeLa Cells ; cytology ; Humans ; MCF-7 Cells ; cytology ; Microscopy, Atomic Force

This study was designed to investigate the impact of ultra-filtration extract mixture from Astragals mongholicus (UEMAM) o radiosensitivity of H22 ascitic tumor in mice to 12C6+ ions radiation. The H22 ascitic tumor model was established in mice by intraperitoneal injection of 0.2 mL H22 ascitic cells. The animals were subsequently divided into 4 groups randomly, treated with normal saline, UEMAM, heavy ion beam radiotherapy and UEMAM plus heavy ion beam radiotherapy, respectively. The body weights, abdomen circumference of the mice were measured and the mouse behavior was monitored every day; survival time was recorded to evaluate life extension effect; flow cytometry technique was used to detect H22 cell apoptosis and cell cycle; protein levels of p53, Bax, Bcl-2 and cleaved Caspase-3 were analyzed by Western blot; the single cell gel electrophoresis was used to detect the level of deoxyribonucleic acid damage (DNA damage). The results suggest that UEMAM significantly increased survival time, and decreased body weights and abdomen circumference over the saline control group. The treatment increased cell apoptosis, cycle arrest and DNA damage compared to the saline control group. UEMAM significantly enhanced the therapeutic effect of heavy ion beam radiation in survival time, and decreased body weights and abdomen circumference in the tumor-baring mice. The combination increased cell apoptosis, cycle arrest and DNA damage compared to the radiotherapy group. The results of Western blot suggest that the treatment significantly enhanced p53-induced apoptotic signals. The experiment discovered that UEMAM could improve radiosensitivity of H22 ascitic tumor through activation of p53-mediated apoptotic signal pathway.

Objective To develop the technique to detect total core antigen of HCV(Total HCV-cAg) by Enzyme-Linked Immu-nosorbent Assay (ELISA) and apply it for clinical diagnosis. Methods 201 serum samples with anti-HCV antibody were detected total HCV-cAg after pre - treating the samples, then the sensitivity of results were compared with HCV RNA tests. Among them, 176 cases was determined by FQ-PCR, and 25 cases by RT-PCR for HCV-RNA. Results HCV RNA was found in sera from 88 of 201 samples (43.8%). Total HCV-cAg was positive in 71 (35.3%) of 201 samples . There was no significant difference between the detection rate of HCV RNA by PCR and total HCV-cAg by ELISA. Conclusion Detection of total core antigen of HCV is suitable to be used as to diagnose HCV in clinic.

Objective: To assess diet-related knowledge and behavior among primary and middle-school students in five cities of Anhui, and to provide evidence for nutrition education and intervention strategies. Methods: A multi stage stratified cluster random sampling method was used to select 2 045 students in five cities(Huaibei,Bengbu,Ma anshan,Hefei and Wuhu) of Anhui for a questionnaire survey on nutrition knowledge, diet behavior, food preferences, and diet education. Results: The overall rate of good nutritional awareness was 38.3%; students had the highest rate of awareness on plain water being the healthiest drink(91.6%). The overall rate of healthy food preferences was 51.5%, with milk and dairy products being the highest rated (66.4%). The overall rate of good diet behavior was 85.8%, with eating most meals on time and in appropriate quantities being the highest rated (87.7%). The overall rate of students with good diet education was 25.0%, while the rate of table cleaning was 73.0%. Middle school students had more knowledge of nutrition(χ 2=28.8), while primary school students had better healthy food preferences and diet behaviors(χ 2=31.3，77.6), and girls were more frequently involved in setting and clearing the table(χ 2=12.2)(P<0.05). Conclusion Insufficient nutrition knowledge, clear food preferences, unhealthy dietary behaviors, and a lack of diet education were observed in primary and middle school students in Anhui. Specific nutritional education in school settings should be developed, home school cooperation should be strengthened, and diet education activities should be increased to help primary and middle school students form a healthy lifestyle.

In view of the current teaching status of Traditional Rehabilitation Methodology for rehabilitation medicine specialty in higher medical colleges and universities,combining with the knowledge of some acupoints taught in this course,we put forward some suggestions for the teaching of this course.In teaching process of acupoints knowledge,while emphasizing the importance of its anatomical location,we should also attach importance to elaborating the name of acupoints and the rich cultural contents contained in the naming process.At the same time,paying attention to induction learning and finding memory rules,combining theoretical knowledge with classmates' hands-on practice,and encouraging students to participate early in clinical practice activities,we can develop students' practical work ability.

Objective To compare the diagnostic efficacy of 68Ga-prostate specific membrane antigen (PSMA)-617 PET/CT and multi-parameter MRI for primary prostate cancer.Methods From June 2017 to November 2017,24 patients (age (67.6±7.0) years) with suspected prostate cancer were prospectively enrolled.All patients underwent 68Ga-PSMA-617 PET/CT and multi-parameter MRI.Pathological diagnosis was considered as the gold standard.The diagnostic efficacy of the two methods was analyzed and the difference was evaluated by receiver operating characteristic (ROC) curve analysis(Z test).Results Based on the puncture biopsy and/or excision biopsy,18 patients were diagnosed as prostate cancer and 6 patients were diagnosed as benign diseases.According to the five-zone analysis for the prostate (24 patients with 120 zones),48 and 56 zones were detected accurately in prostate cancer patients by PET/CT and multi-parameter MRI respectively,which was 54 and 41 for benign patients.The cut-off value of maximum standardized uptake value (SUVmax) in 68Ga-PSMA-617 PET/CT for diagnosing prostate cancer was 4.85,the area under curve (AUC),sensitivity,specificity,positive predictive value,negative predictive value,accuracy and Youden index were 0.890,75.00％ (48/64),96.43％ (54/56),96.00％ (48/50),77.14％ (54/70),85.00％(102/120),71.43％ respectively for prostate cancer by PET/CT,and 0.837,87.50％(56/64),73.21％ (41/56),78.87％ (56/71),83.67％ (41/49),80.83％ (97/120) and 60.71％ respectively by multi-parameter MRI.The difference of AUC was statistically significant (Z=2.82,P＜0.01).Conclusions The diagnostic accuracy of 68Ga-PSMA-617 PET/CT imaging for prostate cancer is higher than that of multi-parameter MRI.Both modalities have high diagnostic efficiency and can be used scientifically as complementary.

Objective:To explore the optimal acceleration factor and feasibility of the compressed SENSE (CS) technique in non-contrast MR coronary angiography (NMRCA) for clinical practice.Methods:The image data of completed coronary CTA and 3.0 T NMRCA sequence in 31 patients with suspected coronary heart disease were prospectively recruited at Fuyang People′s Hospital from August 2021 to November 2021. NMRCA sequences included conventional SENSE2 sequence and CS sequences with acceleration factors of 4, 5, and 6, respectively. The subjective scores of image quality and the objective scores, the contrast ratios between assessed coronaries and myocardium (CMCR) were compared among the 4 groups using the Friedman and Wilcoxon rank sum test.Results:Compared with the conventional SENSE2 [(343±46)s], the scan time of CS4 (269±36), CS5 (214±29) and CS6 (178±26) s were shortened by 21.5%, 37.5% and 48.0%, respectively. There was a good consistency between the subjective scores of the four groups (Kappa=0.769, 95% Cl 0.738-0.800). There was no significant difference in subjective score and CMCR value between CS4 and SENSE2 ( P>0.05). The coronary artery segments of CS5 and CS6 were significantly different from SENSE2 group ( P<0.05). Conclusions:For 3.0 T NMRCA, CS technology shows high feasibility. The CS4 can reduce imaging time while ensuring high-quality coronary arterial images, which has a well-established clinical application value for NMRCA.

With inherent sparse spike-based coding and asynchronous event-driven computation, spiking neural network (SNN) is naturally suitable for processing event stream data of event cameras. In order to improve the feature extraction and classification performance of bio-inspired hierarchical SNNs, in this paper an event camera object recognition system based on biological synaptic plasticity is proposed. In our system input event streams were firstly segmented adaptively using spiking neuron potential to improve computational efficiency of the system. Multi-layer feature learning and classification are implemented by our bio-inspired hierarchical SNN with synaptic plasticity. After Gabor filter-based event-driven convolution layer which extracted primary visual features of event streams, we used a feature learning layer with unsupervised spiking timing dependent plasticity (STDP) rule to help the network extract frequent salient features, and a feature learning layer with reward-modulated STDP rule to help the network learn diagnostic features. The classification accuracies of the network proposed in this paper on the four benchmark event stream datasets were better than the existing bio-inspired hierarchical SNNs. Moreover, our method showed good classification ability for short event stream input data, and was robust to input event stream noise. The results show that our method can improve the feature extraction and classification performance of this kind of SNNs for event camera object recognition.
Visual Perception ; Learning ; Action Potentials ; Neural Networks, Computer ; Neuronal Plasticity