Search

Background The academic value of the "Hu Line" has been extended to other related disciplines. Considering China's large population and obvious differences in distribution, this study draws on the research results of population geography to explore the population density and distribution criteria of the "Hu Line". Objective To investigate and analyze the current situation of health literacy and sedentary time among urban and rural high school students in the southeast and northwest halves of the "Hu Line", and to provide a basis for improving the physical and mental health of high school students in China. Methods A stratified cluster random sampling method was used to study the health literacy and sedentary time of freshmen and sophomores in 62 schools in 31 provinces (municipalities directly under the central government and autonomous regions) of China from January to March 2019 (12 400 questionnaires on health literacy and 12 400 questionnaires on sedentary time each were uniformly mailed and distributed in advance). Multiple linear regression models were used to analyze the coefficient of variance expansion, and after correcting for confounding factors, we analyzed the factors affecting the length of meditation time of high school students in the southeastern and northwestern halves of both sides of the "Hu Line". Results Finally, 9 057 health literacy questionnaires were included, of which 7 489 (82.7%) were from the southeast half of China and 1 568 (17.3%) from the northwest half of China, and 8 031 questionnaires on sedentary time were included, of which 6 614 (82.4%) were from the southeast half of China and 1 417 (17.6%) from the northwest half of China. Health literacy scores and sedentary time of high school students in the southeast half of China were higher than those in the northwest half of China (Z=-4.009, -9.198; P100 000 yuan, and family size of 1, 3, 7, 9, and ≥10 were higher than those of the northwestern half of China (P100 000 yuan, and the number of people in the family of 3, 4, 5, and 6 people were higher than those in the northwestern half of China in terms of the number of hours spent in meditation (P mother's educational attainment (0.131) > father's educational attainment (-0.056) > health literacy score (-0.050). The length of sedentary time of high school students in the northwestern half of China was positively correlated with health literacy score (β=0.017), father's education (β=0.789), and mother's education (β=0.540) (P mother's education (0.111) > health literacy score (0.056) . Conclusion Health literacy scores and meditation hours of high school students in the southeastern half of China were higher than those in the northwestern half of China. Meditation duration of high school students in the southeastern half of China was positively correlated with annual family income and mother's education, but negatively correlated with health literacy scores and father's education, while meditation duration of high school students in the northwestern half of China was positively correlated with health literacy scores parent's education. Annual family income had the highest weight on the effect of meditation duration for high school students in the southeast half of China, and father's education had the highest weight on the effect of meditation duration for high school students in the northwest half of China.

Background Current research on the physical fitness test scores of high school students is more localized within provinces and cities, with few multicenter, large-sample-size, domain-wide research results. The prevalence of blended online and offline teaching in schools of all types has inevitably prolonged the already long sedentary time of high school students. Whether this trend has some impact on the physical health of high school students is an urgent need for a region-wide study. Objective To investigate and analyze the levels of physical fitness test scores and related influencing factors of urban and rural high school first- and second-year students in seven regions of China, and to explore the empowering paths for the balanced improvement of physical fitness levels of first- and second-year high school students. Methods Stratified randomized cluster sampling method was used to conduct stratified sampling according to urban counties and townships and villages in high school schools in seven regions (East China, South China, North China, Central China, Northwest China, Southwest China, Northeast China) of 31 provinces (municipalities directly under the central government and autonomous regions) of China from January to March 2019, and then randomized clusters of 1 high school school in urban counties and 1 high school school in townships and villages in total of 62 schools were selected respectively. A total of 42 523 freshmen and sophomores in high schools were randomly selected to conduct the research, and the data on students' physical fitness test scores were collected at the same time (BMI reflects the level of physical development; lung capacity reflects the level of physical function; sit-and-reach reflects the level of flexibility; pull-up, 50 m run, standing long jump reflects the level of explosive strength of upper and lower limbs; 1 min sit-up reflects the level of core strength of the torso; 800 m run, 1 000 m run reflects the level of cardiorespiratory endurance), and non-parametric tests and multiple linear regression analysis were used to explore the influencing factors of the level of physical fitness test scores. Results The age distribution of 42 523 high school students was 16.0 (16.0, 17.0) years; 20 074 (47.2%) boys and 22 449 (52.8%) girls, 21 725 (51.1%) in cities, counties and districts, and 20 798 (48.9%) in towns and villages. Comparison of the gender and urban-rural distribution of high school students in the seven regions showed statistically significant differences (PNortheast China>Central China), body mass (Northeast China>North China>Central China), BMI (Central China>Northeast China>North China), lung capacity (Northeast China>Central China>South China), 50 m run (South China>Central China>East China), standing long jump (South China>North China>Northwest China), sit-and-reach (South China>Southwest China>Central China), pull-up (South China>Southwest China>Northwest China), and 1 000 m run (South China>Central China>Southwest China). High school boys in the city, county and districts had higher lung capacity scores than those in the town and country, and lower scores than those in the town and country in the 50 m run, standing long jump, sit-and-reach, pull-up, and 1 000 m run (P0.05). The differences in the scores of high school girls in each physical fitness test in the seven regions are statistically significant (PNortheast China>Northwest China), body mass (Northeast China>North China>Northwest China), BMI (Northeast China>North China>Northwest China), lung capacity (Northeast China>South China>Central China), 50 m run (South China>Central China>East China), standing long jump (South China>North China>Central China), sit-and-reach (Northeast China>Central China>South China), 1 min sit-up (North China>Central China>East China=Southwest China), 800 m run (Northeast>Central China>South China). High school girls in the city and county districts had higher height, body mass, and BMI scores than those in the town and country, and lower scores than those in the town and country in lung capacity, 50 m run, standing long jump, sit-and-reach, 1 min sit-up, and 800 m run (P

We propose turbo-sum-product (TSP) and shuffled-sum-product (SSP) decoding algorithms for quasi-cyclic low-density parity-check codes, which not only achieve faster convergence and better error performance than the sum-product algorithm, but also require less memory in partly parallel decoder architectures. Compared with the turbo decoding algorithm, our TSP algorithm saves the same amount of memory and may achieve a higher decoding throughput. The convergence behaviors of our TSP and SSP algorithms are also compared with those of the SP, turbo, and shuffled algorithms by their extrinsic information transfer (EXIT) charts. Index Terms--LDPC, quasi-cyclic, turbo decoding, shuffled decoding, sum-product decoding, EXIT charts.

Ovarian cancer is one of the most fatal gynecological cancers. For most ovarian cancer patients, nutritional risk or malnutrition may accompany them for life. Regular nutritional risk screening, timely nutritional assessment and necessary nutritional treatment play an extremely important role in the process of comprehensive treatment of ovarian cancer. The nutritional status and influence of ovarian cancer patients, preoperative screening and assessment of nutritional risk, preoperative and postoperative nutritional treatment indicate that nutritional treatment of ovarian cancer is one of the key factors in the treatment of cancer. We have summarized the status and progress of nutritional support therapy for ovarian cancer. We are aimed to improve the understanding of the impact of nutritional support therapy for ovarian cancer and to guide the clinical work. [ABSTRACT FROM AUTHOR]

In this paper, we first propose parallel turbo-sum-product (PTSP) and turbo-shuffled-sum-product (TSSP) decoding algorithms for partly parallel decoder architectures of quasi-cyclic (QC) low-density parity-check (LDPC) codes. Our proposed algorithms not only achieve faster convergence and better error performance than the sum-product (SP) decoding algorithm, but also need less memory in implementation. Then we propose a partly parallel decoder architecture based on our PTSP algorithm and implement it using FPGA. Our PTSP decoder architecture achieves significantly higher throughput and requires less memory than previously proposed decoder architectures with the same FPGA and LDPC code. Finally, to further reduce the memory requirement, we also propose a partly parallel decoder architecture based on our TSSP algorithm. Index Terms--Low-density parity-check (LDPC) codes, quasi-cyclic (QC) codes, shuffled decoding, sum-product (SP) decoding, turbo decoding.

An adaptive asynchronous code-division multiple-access (CDMA) multiuser detector is proposed that uses a recently derived extended Kalman filter based algorithm [5] to perform joint data detection and parameter tracking in frequency-selective Rayleigh fading channels. A receiver structure based on this adaptive multiuser detector is presented and its performance in terms of parameter tracking and bit error rate (BER) is investigated. The receiver is a form of an adaptive RAKE that exploits multipaths to achieve performance gain. Index Terms--Bit error rate (BER), code-division multiple access (CDMA), extended Kalman filter (EKF), frequency-selective Rayleigh fading.

Objective: To evaluate the usefulness and efficiency of a novel dietary method among urban pregnant women., Methods: Sixty one pregnant women were recruited from the ward and provided with a meal accurately weighed before cooking. The meal was photographed from three different angles before and after eating. The subjects were also interviewed for 24 h dietary recall by the investigators. Food weighting, image quantification and 24 h dietary recall were conducted by investigators from three different groups, and the messages were isolated from each other. Food consumption was analyzed on bases of classification and total summation. Nutrient intake from the meal was calculated for each subject. The data obtained from the dietary recall and the image quantification were compared with the actual values. Correlation and regression analyses were carried out on values between weight method and image quantification as well as dietary recall., Results: Total twenty three kinds of food including rice, vegetables, fish, meats and soy bean curd were included in the experimental meal for the study. Compared with data from 24 h dietary recall (r = 0.413, P < 0.05), food weight estimated by image quantification (r = 0.778, P < 0.05, n = 308) were more correlated with weighed data, and show more concentrated linear distribution. Absolute difference distribution between image quantification and weight method of all food was 77.23 ± 56.02 (P < 0.05, n = 61), which was much small than the difference (172.77 ± 115.18) between 24 h recall and weight method. Values of almost all nutrients, including energy, protein, fat, carbohydrate, vitamin A, vitamin C, calcium, iron and zine calculated based on food weight from image quantification were more close to those of weighed data compared with 24 h dietary recall (P < 0.01). The results found by the Bland Altman analysis showed that the majority of the measurements for nutrient intake, were scattered along the mean difference line and close to the equality line (difference = 0). The plots show fairly good agreement between estimated and actual food consumption. It indicate that the differences (including the outliers) were random and did not exhibit any systematic bias, being consistent over different levels of mean food amount. On the other hand, the questionnaire showed that fifty six pregnant women considered the image quantification was less time-consuming and burdened than 24 h recall. Fifty eight of them would like to use image quantification to know their dietary status., Conclusion: The novel method which called instant photography (image quantification) for dietary assessment is more effective than conventional 24 h dietary recall and it also can obtain food intake values close to weighed data.