With the development of the Multi-Rigid-Body system dynamics theory and computer technology, computer aided design and manufacturing of orthosis have already matured, mathematical mechanical model of human body and orthosis can be established using this new technology, and simulation calculation can be used to determine the orthosis prescription, predict the efficacy and effectiveness of rehabilitation. Early application of ankle-foot orthosis plays an important role in restoration of brain function in stroke patients, resumption of hemiplegic gait and abnormal gait correction. In clinical orthosis prescription, establishment of corresponding mathematical model and speculation of ankle-foot function changes, as well as the effect and mechanism of resumption of brain function in post-stroke patients, have a positive impact on the analysts of hemiplegic gait, orthosis design and gait resumption.

BACKGROUND:The studies of plantar pressure mainly focus on barefoot,while the research regarding the effect of shoes on kinetic parameters is little.OBJECTIVE:To explore the peak value of foot plantar pressure between barefoot and wear shoes in max force,max pressure,load rate and impulse during the natural walk,and to search the parameter relationship between barefoot and with shoes.DESIGN,TIME AND SETTING:The the same body control analysis was performed at the Laboratory of Sports and Human Science of Nanjing Institute of Physical Education in October 2007 PARTICIPANTS:A random sampling method was used to selected 10 male college students from the Nanjing Institute of Physical Education which aged(21.00?2.40) years,weighing(71.53?3.16) kg,body height(176.32?2.62) cm,and foot length(25.67?0.92) cm.According to the regulation,informed consent was obtained from each participant.METHODS:Normal gait of 10 participants were measured by Foot scan7.0 plantar pressure test system,including barefoot and with shoes.MAIN OUTCOME MEASURES:The distribution of maximum force,maximum pressure,load rate and impulse.The parameter relationship between barefoot and with shoes were assessed in the study.RESULTS:The max force existed in the area of heel medial,the second metatarsal and the third metatarsal.The minimum force existed in the area of the toes 2-5 and the fifth metatarsal.The max pressure of barefoot existed in the area of the toes 2-5 and the second metatarsal and heel during walking.The load rate of heel was the highest.The max impulse existed in the second metatarsal and the third metatarsal and heel.The minimum impulse existed in the toes 2-5 and the fifth metatarsal.When wearing shoes,the max force existed in the area of the mid foot and toe1,The minimum force existed in the area of the toe 5,during walking the max pressure existed in the area of the instep.The load rate of the mid foot and heel was the highest.The max impulse existed in the mid foot.The minimum impulse existed in the fifth metatarsal.CONCLUSION:The parameters of forefoot,instep,and heel were larger than barefoot during walking,especially those of the phalanges2-5 and instep.

Objective To discuss microvessel density (MVD) and expression of vascular endothelial growth factor(VEGF), androgen receptor(AR) in the prostates of men who received re-operation after TURP. Methods Fifty cases were performed re-TURP (re-TURP group) and the remaining 50 cases served as controls. 150 specimens were collected. Sections were stained for CD34 and VEGF, AR by immuno-histo-chemistry(S-P). Statistical analysis of the results was performed using t-test or Pearson Chi-Square test Results The expression of VEGF, AR and MVD were significantly higher in the re-TURP group compared to controls(P<0. 05),but in re-TURP group, difference in VEGF and AR expression as well as MVD were not found to be significantly different between the first and the second TURP(P>0.05). Conclusion Over expression of VEGF and AR as well as high MVD in prostatic tissue might play an important role in the pathological process of BPH after TURP.

OBJECTIVETo study the application of hand-assisted laparoscopic surgery (HALS) in colorectal carcinoma resection.

METHODSFourteen patients with colorectal carcinoma underwent resection by HALS.

RESULTSHand-assisted laparoscopic right hemicolectomy was performed in 6 of 8 ascending colon cancer patients, spending an average of 160 minutes (110 to 220 minutes) for the procedure. The amount of bleeding was 40 approximately 100 ml. Bowel sounds resumed in 36 approximately 72 hours after the operation. The average interval between the operation and patients' discharge was 8 days (7 to 12 days). For 2 patients the surgeons had to resort to laparotomy. All patients received postoperative chemotherapy. Hand-assisted laparoscopic abdominoperineal resection was performed in 5 of 6 patients with lower rectal cancer, with the average duration of 180 minutes (120 to 270 minutes), with bleeding of 40 to 80 ml. Bowel sounds resumed within 24 to 72 hours and the average discharge interval was 14 days (12 to 18 days). The urinary catheter in 6 patients was removed in 7 to 8 days after the operation. All patients with rectal carcinoma received postoperative chemotherapy and radiotherapy. One patient was shifted to laparotomy because of extensive adhesion in the pelvic cavity. Four of 11 patients treated by HALS experienced slight pain in the incision. No other complications were observed in any of the patients. Remote results await further follow-up.

CONCLUSIONHand-assisted laparoscopic surgery in the treatment of colorectal carcinoma, a safe and simple procedure, not only ensures the clearance of tumor, but also reduces operative trauma and hastens recovery.

Adult ; Aged ; Colectomy ; Colorectal Neoplasms ; surgery ; Female ; Hand ; Humans ; Laparoscopy ; Male ; Middle Aged ; Treatment Outcome

Background Workers in the cable manufacturing industry are exposed to high-speed machinery and equipment for a long time, coupled with heavy workload, which poses significant risks to their physical health. However, the issue of occupational injuries in this industry has not received enough attention yet. Objective To understand the incidence of occupational injury of workers in cable manufacturing industry and to analyze the influencing factors. Method A basic information questionnaire and an occupational injury questionnaire were developed to investigate the occupational injuries of 1 343 workers in a cable manufacturing enterprise in the past year, and a total of 1 225 valid questionnaires were recovered, with an effective rate of 91.2%. Descriptive statistics were used to characterize the causes, injury locations, injury types, and other characteristics of employees’ occupational injuries. Chi-square test was used to analyze the occupational injury status of groups with different demographic characteristics, occupational characteristics, lifestyles, and interpersonal relationships. Logistic regression was used to analyze the influencing factors of occupational injuries. Result The incidence of occupational injuries among workers in a cable manufacturing enterprise in the past year was 8.6%, which mainly happened in male workers (80.0%) and occurred from May to July in summer (45.7%). The main causes were mechanical injuries (32.4%) and object blows (27.6%). The main sources of damage were machinery and equipment (36.2%) as well as raw materials and products (15.2%). The main injuries were located in upper limbs (53.3%) and lower limbs (22.9%). The main types of injuries were fractures (33.3%) and abrasions/contusions/puncture wounds (19.0%). The results of univariate analysis showed that there were statistically significant variations in the incidence of occupational injuries by gender, overtime, pre-job training, years of service in current position, alcohol consumption, physical exercise per week, and co-worker relationship (P<0.05). The logistic regression model showed that workers who exercised less than twice a week, did not participate in pre-job training, worked overtime, and had fair/poor/very poor colleague relationship had a higher risk of occupational injury, while women had a lower risk of occupational injury. Conclusion The distribution of occupational injury population is mainly male, and the time distribution is mainly from May to July. Gender, physical exercise, pre-job training, overtime, and colleague relationship are the influencing factors of occupational injuries. We should strengthen pre-job training, arrange work hours reasonably, and create a good working atmosphere to reduce the occurrence of occupational injuries.

Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury. Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury. Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. Results A total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). Conclusion Shift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.