Musculoskeletal pain (MS pain) in the elderly has attracted more medical focus than its social dimensions. This cross-sectional survey design study, conducted in southwestern Nigeria, through a multi-stage sampling te...Musculoskeletal pain (MS pain) in the elderly has attracted more medical focus than its social dimensions. This cross-sectional survey design study, conducted in southwestern Nigeria, through a multi-stage sampling technique, documented reported MS pain in 1280 consented elderly using 3-scale pain experiences categorized as acute, semi-acute, and chronic. Also, 12 In-depth Interviews (IDIs) among elderly persons, and 15 Key Informant Interviews (KIIs) among orthodox- and traditional medicine practitioners were conducted. The age of the respondents was 65.5 ± 4, while about half (51.1%) had no formal education. Majority (76.8%) of the respondents perceived MS pain as normal process of old age. Occupational life history of the respondents ranked the highest as perceived reason for having MS pain, while the knees (19.6%) were the most identified pained location among others in the body. A high significant relationship between neck and shoulders pain (χ2 = 0.000) was however found. Social construction dimensions of the elderly were narrated, while MS pain was considered as sickness of the elders. There is need for orientation for the elderly and their helpers on the social dimensions of old age relative to Nigeria.展开更多
In order to solve the problem between searching performance and convergence of genetic algorithms, a fast genetic algorithm generalized self-adaptive genetic algorithm (GSAGA) is presented. (1) Evenly distributed init...In order to solve the problem between searching performance and convergence of genetic algorithms, a fast genetic algorithm generalized self-adaptive genetic algorithm (GSAGA) is presented. (1) Evenly distributed initial population is generated. (2) Superior individuals are not broken because of crossover and mutation operation for they are sent to subgeneration directly. (3) High quality im- migrants are introduced according to the condition of the population schema. (4) Crossover and mutation are operated on self-adaptation. Therefore, GSAGA solves the coordination problem between convergence and searching performance. In GSAGA, the searching per- formance and global convergence are greatly improved compared with many existing genetic algorithms. Through simulation, the val- idity of this modified genetic algorithm is proved.展开更多
Stature estimation is widely used for individual identification in forensic field.Previous studies have proposed several regression equations derived from a single population for this purpose.However,this may not be s...Stature estimation is widely used for individual identification in forensic field.Previous studies have proposed several regression equations derived from a single population for this purpose.However,this may not be suitable for other populations because of different hereditary and environmental conditions.In this study,stature estimation equations for southern China Han population have been provided.The study was conducted on a sample population of 121 men and women aged 18–25 years.A total of 19 parameters,including stature,head,torso,and parts of upper limbs and lower limbs,were measured according to standard anthropometric procedures.Herein,the anterior superior spine–malleolus medialis line showed the highest correlation coefficient(r=0.817)and was the most reliable predictor(R^(2)=0.667)in men,while the best predictor for women was total leg length(R^(2)=0.746)with the highest correlation coefficient(r=0.863).The regression analysis results via multiple predictors showed a high accuracy in stature estimation.Moreover,the analysis of multiple regression predictors showed that the dimensions of lower limbs were more reliable for stature estimation compared to head,torso,and upper limb measurements.This study provided equations of stature estimation for southern China Han population which can be useful in cases of dismembered body.展开更多
文摘Musculoskeletal pain (MS pain) in the elderly has attracted more medical focus than its social dimensions. This cross-sectional survey design study, conducted in southwestern Nigeria, through a multi-stage sampling technique, documented reported MS pain in 1280 consented elderly using 3-scale pain experiences categorized as acute, semi-acute, and chronic. Also, 12 In-depth Interviews (IDIs) among elderly persons, and 15 Key Informant Interviews (KIIs) among orthodox- and traditional medicine practitioners were conducted. The age of the respondents was 65.5 ± 4, while about half (51.1%) had no formal education. Majority (76.8%) of the respondents perceived MS pain as normal process of old age. Occupational life history of the respondents ranked the highest as perceived reason for having MS pain, while the knees (19.6%) were the most identified pained location among others in the body. A high significant relationship between neck and shoulders pain (χ2 = 0.000) was however found. Social construction dimensions of the elderly were narrated, while MS pain was considered as sickness of the elders. There is need for orientation for the elderly and their helpers on the social dimensions of old age relative to Nigeria.
文摘In order to solve the problem between searching performance and convergence of genetic algorithms, a fast genetic algorithm generalized self-adaptive genetic algorithm (GSAGA) is presented. (1) Evenly distributed initial population is generated. (2) Superior individuals are not broken because of crossover and mutation operation for they are sent to subgeneration directly. (3) High quality im- migrants are introduced according to the condition of the population schema. (4) Crossover and mutation are operated on self-adaptation. Therefore, GSAGA solves the coordination problem between convergence and searching performance. In GSAGA, the searching per- formance and global convergence are greatly improved compared with many existing genetic algorithms. Through simulation, the val- idity of this modified genetic algorithm is proved.
基金This study was supported by the National Natural Science Foundation of China(Grant No.81871526)the National Students’Innovative and Entrepreneurship Training Program(No.20181212112X).
文摘Stature estimation is widely used for individual identification in forensic field.Previous studies have proposed several regression equations derived from a single population for this purpose.However,this may not be suitable for other populations because of different hereditary and environmental conditions.In this study,stature estimation equations for southern China Han population have been provided.The study was conducted on a sample population of 121 men and women aged 18–25 years.A total of 19 parameters,including stature,head,torso,and parts of upper limbs and lower limbs,were measured according to standard anthropometric procedures.Herein,the anterior superior spine–malleolus medialis line showed the highest correlation coefficient(r=0.817)and was the most reliable predictor(R^(2)=0.667)in men,while the best predictor for women was total leg length(R^(2)=0.746)with the highest correlation coefficient(r=0.863).The regression analysis results via multiple predictors showed a high accuracy in stature estimation.Moreover,the analysis of multiple regression predictors showed that the dimensions of lower limbs were more reliable for stature estimation compared to head,torso,and upper limb measurements.This study provided equations of stature estimation for southern China Han population which can be useful in cases of dismembered body.
