Performance of iCare quantitative computed tomography in bone mineral density assessment of the hip and vertebral bodies in European spine phantom.

BACKGROUND: Osteoporosis is a systemic bone disease which can increase the risk of osteoporotic fractures. Dual-energy X-ray absorptiometry (DXA) is considered as the clinical standard for diagnosing osteoporosis by detecting the bone mineral density (BMD) in patients, but it has flaws in distinguishing between calcification and other degenerative diseases, thus leading to inaccurate BMD levels in subjects. Mindways quantitative computed tomography (Mindways QCT) is a classical QCT system. Similar to DXA, Mindways QCT can directly present the density of trabecular bone, vascular or tissue calcification; therefore, it is more accurate and sensitive than DXA and has been widely applied in clinic to evaluate osteoporosis. iCare QCT osteodensitometry was a new phantom-based QCT system, recently developed by iCare Inc. (China). It has been gradually applied in clinic by its superiority of taking 3-dimensional BMD of bone and converting BMD values to T value automatically. This study aimed at evaluating the osteoporosis detection rate of iCare QCT, compared with synchronous Mindways QCT (USA). METHODS: In this study, 131 patients who underwent hip phantom-based CT scan were included. Bone mineral density (BMD) of the unified region of interests (ROI) defined at the European spine phantom (ESP, German QRM) including L1 (low), L2 (medium), and L3 (high) vertebral bodies was detected for QCT quality control and horizontal calibration. Every ESP scan were taken for 10 times, and the mean BMD values measured by iCare QCT and Mindways QCT were compared. Hip CT scan was conducted with ESP as calibration individually. T-scores gained from iCare QCT and Mindways QCT were analyzed with Pearson correlation test. The detection rates of osteoporosis were compared between iCare QCT and Mindways QCT. The unified region of interests (ROI) was delineated in the QCT software. RESULTS: The results showed that there was no significant difference between iCare QCT and Mindways QCT in the evaluation of L1, L2, and L3 vertebrae bodies in ESP. A strong correlation between iCare QCT and Mindways QCT in the assessment of hip T-score was found. It was illustrated that iCare QCT had a higher detection rate of osteoporosis with the assessment of hip T-score than Mindways QCT did. In patients < 50 years subgroup, the detection rate of osteoporosis with iCare QCT and Mindways QCT was equal. In patients ≥ 50 years subgroup, the detection rate of osteoporosis with iCare QCT (35/92, 38.0%) was higher than that with Mindways QCT. In female subgroup, the detection rate of osteoporosis with iCare QCT was significantly higher than Mindways QCT. In male subgroup, the detection rate of osteoporosis with iCare QCT was also markedly higher than Mindways QCT. The detection rate of osteoporosis by iCare QCT was higher than Mindways QCT with hip bone assessment. Of course, the results of the present study remain to be further verified by multicenter studies in the future.

Business credit network characteristics and impact on green economy efficiency: Evidence from the Greater Bay Area around Hangzhou Bay of China.

In regions where the development of formal finance is relatively lagging behind, commercial credit has partially replaced the role of formal finance and facilitated the development of the private economy and even the country, thus making commercial credit an important entry point for understanding and promoting sustainable economic development. Taking the Hangzhou Bay Greater Bay Area as a case study, based on the City Business Credit Environment Index (CEI) from 2015 to 2019, we examine the characteristics of business credit networks using social network analysis and discuss the impact of business credit on urban green economy efficiency heterogeneity by drawing on spatial econometrics. The study confirms that the structure of business credit networks in the Hangzhou Bay Greater Bay Area tends to be dense, the network density and number of connections show growth, the spatial network structure is taking shape, and the strength of spatial connections among cities has increased. Hangzhou, Shaoxing, Jiaxing and Shanghai are at the centre of the network and play a radiation-driven role. The business credit network in the Hangzhou Bay Greater Bay Area is characterised by self-stability and has evolved from a multi-centre to a single centre. Business credit is negatively correlated with the efficiency of the green economy in the Hangzhou Bay Area, which is a departure from the Chinese "financial development paradox". In terms of heterogeneity, the relationship remains consistent for port cities and open coastal cities in general, while the effect is less pronounced for cities above sub-provincial level. The study concludes that, with the high-quality economic development of the Hangzhou Bay Greater Bay Area, the Chinese "financial development paradox" does not exist in the region at this stage, which also highlights the need to accelerate the construction of a Chinese-style modernisation theory and practice system.

Educational value assessment of YouTube surgical videos of tension-free vaginal tape obturator (TVT-O) and trans-obturator vaginal tape (TOT).

BACKGROUND: YouTube, as a widely used video website around the world, contains a large number of surgical teaching videos, providing a good platform for doctors to learn surgery, but its content and quality are uneven. Tension-free vaginal tape obturator (TVT-O) and trans-obturator vaginal tape (TOT) are common surgical methods for the treatment of stress urinary incontinence (SUI), and there are many videos on YouTube teaching these procedures. We aimed to assess the educational value of surgical videos of TVT-O and TOT on YouTube. METHODS: A comprehensive search was conducted for "tension-free vaginal tape obturator" and "trans-obturator vaginal tape" on YouTube on August 22. After referring to LAParoscopic surgery Video Educational GuidelineS (LAP-VEGaS) and previous studies, we developed a checklist containing 5 major items and 18 minor items. SPSS 26 was applied to data and correlation analysis. RESULTS: A total of 36 videos were assessed. The average number of days available was 1,956.6 days (range, 190-4,152 days) and the average length was 9.7 min (range, 1.8-73.6 min, SD: 13.65). Video definition is divided into high, moderate and low, accounting for 22%, 36% and 42% respectively. The average score of the included videos was 7.39 (range, 3-16, SD: 3.57). The correlation analysis indicated that the video quality score has a certain correlation with the length of the video, but has no significant correlation with other factors and there was no significant correlation between audience likes and other factors. CONCLUSIONS: On YouTube, we still lack high educational value videos about TVT-O and TOT, and the existing videos are deficient in the explanation of critical steps, the key points of patients' perioperative management, and the application of auxiliary teaching tools. This further indicates the importance of improving educational videos of surgery, and an authoritative checklist for urologic surgery.

Q-Dixon and GRAPPATINI T2 Mapping Parameters: A Whole Spinal Assessment of the Relationship Between Osteoporosis and Intervertebral Disc Degeneration.

BACKGROUND: The relationship between osteoporosis and intervertebral disc (IVD) degeneration remains controversial. Novel quantitative Dixon (Q-Dixon) and GRAPPATINI T2 mapping techniques have shown potential for evaluating the biochemical components of the spine. PURPOSE: To investigate the correlation of osteoporosis with IVD degeneration in postmenopausal women. STUDY TYPE: Prospective. SUBJECTS: A total of 105 postmenopausal females (mean age, 65 years; mean body mass index, 26 kg/m2 ). FIELD STRENGTH/SEQUENCE: 3 T; sagittal; 6-echo Q-Dixon, multiecho spin-echo GRAPPATINI T2 mapping, turbo spin echo (TSE) T1-weighted and TSE T2-weighted sequences. ASSESSMENT: The subjects were divided into normal (N = 47), osteopenia (N = 28), and osteoporosis (N = 30) groups according to quantitative computed tomography examination. The Pfirrmann grade of each IVD was obtained. Region of interest analysis was performed separately by two radiologists (X.L., with 10 years of experience, and S.C., with 20 years of experience) on a fat fraction map and T2 map to calculate the bone marrow fat fraction (BMFF) from the L1 to L5 vertebrae and the T2 values of each adjacent IVD separately. STATISTICAL TESTS: One-way analysis of variance, post-hoc comparisons, and Kruskal-Wallis H tests were performed to evaluate the differences in the magnetic resonance imaging parameters between the groups. The relationships between BMFF and the IVD features were analyzed using the Spearman correlation analysis and linear regression models. RESULTS: There were significant differences in BMFF among the three groups. The osteoporosis group had higher BMFF values (64.5 ± 5.9%). No significant correlation was found between BMFF and Pfirrmann grade (r = 0.251, P = 0.06). BMFF was significantly negatively correlated with the T2 of the adjacent IVD from L1 to L3 (r = -0.731; r = -0.637; r = -0.547), while significant weak correlations were found at the L4 to L5 levels (r = -0.337; r = -0.278). DATA CONCLUSION: This study demonstrated that osteoporosis is associated with IVD degeneration. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 4.

Learning From Highly Confident Samples for Automatic Knee Osteoarthritis Severity Assessment: Data From the Osteoarthritis Initiative.

Knee osteoarthritis (OA) is a chronic disease that considerably reduces patients' quality of life. Preventive therapies require early detection and lifetime monitoring of OA progression. In the clinical environment, the severity of OA is classified by the Kellgren and Lawrence (KL) grading system, ranging from KL-0 to KL-4. Recently, deep learning methods were applied to OA severity assessment to improve accuracy and efficiency. However, this task is still challenging due to the ambiguity between adjacent grades, especially in early-stage OA. Low confident samples, which are less representative than the typical ones, undermine the training process. Targeting the uncertainty in the OA dataset, we propose a novel learning scheme that dynamically separates the data into two sets according to their reliability. Besides, we design a hybrid loss function to help CNN learn from the two sets accordingly. With the proposed approach, we emphasize the typical samples and control the impacts of low confident cases. Experiments are conducted in a five-fold manner on five-class task and early-stage OA task. Our method achieves a mean accuracy of 70.13% on the five-class OA assessment task, which outperforms all other state-of-art methods. Despite early-stage OA detection still benefiting from the human intervention of lesion region selection, our approach achieves superior performance on the KL-0 vs. KL-2 task. Moreover, we design an experiment to validate large-scale automatic data refining during training. The result verifies the ability to characterize low confidence samples. The dataset used in this paper was obtained from the Osteoarthritis Initiative.

Off-label antipsychotic use patterns among Texas Medicaid adults 2013-2016.

Aim: To describe trends in off-label antipsychotic use among Texas Medicaid adults and examine whether demographic and clinical characteristics were associated with off-label use. Methods: Three diagnostic groups (i.e. no diagnosis, on label and off-label) were created based on mental health disorder diagnoses and related antipsychotic prescriptions. Results: During 2013-2016, the prevalence of off-label antipsychotic use decreased from 22.5% to 17.4% and the proportions of no mental health diagnosis remained stable (7.3-9.4%). Patients aged ≥25 years and second-generation antipsychotic users had significantly lower odds of receiving antipsychotics off-label or with no diagnosis. Conclusion: Compared with previous Medicaid database studies, the proportions of off-label antipsychotic use and antipsychotic use with no concurrent psychiatric diagnosis were notably lower.

Trends in off-label use of antipsychotic medications among Texas Medicaid children and adolescents from 2013 to 2016.

BACKGROUND: Antipsychotics are frequently prescribed for off-label indications in the pediatric population. However, little is known regarding this issue in Texas Medicaid. OBJECTIVES: To (1) describe off-label antipsychotic use among Texas Medicaid children and adolescents and (2) examine factors associated with off-label use. METHODS: Texas Medicaid prescription and medical claims from January 2013 to August 2016 were analyzed retrospectively among subjects aged 2-17 years with an antipsychotic prescription. Three diagnostic status groups (on-label, off-label, no diagnosis) were categorized based on FDA-approved indications. Descriptive and chi-square tests were conducted to determine if diagnostic status differed by age group (2-4, 5-9, 10-14, and 15-17 years), sex, and antipsychotic type. A logistic regression analysis was used to identify factors associated with off-label use. RESULTS: In this study, 43,792, 44,335, 37,221, and 24,879 (January-August) children with at least 1 antipsychotic prescription were identified from 2013 to 2016, respectively. The proportions with off-label use declined from 66.9% (2013) to 59.8% (2016). Among off-label users, more than one-half (51.3%-55.8%) had a diagnosis of attention-deficit/hyperactivity disorder. Less than 8% (6.0%-7.7%) of subjects had no mental health disorder diagnosis. Chisquare analyses (2015 data) revealed that the proportion of off-label and no diagnosis users combined were significantly (P < 0.01) higher among users aged 5-9 years (82.5%) than adolescents 10-14 years (61.9%) and 15-17 years (56.5%); males (67.7%) than females (65.3%); and first-generation antipsychotics (FGAs; 79.3%) than second-generation antipsychotics (66.7%) users. Logistic regression analyses revealed younger age and FGA users had higher odds of off-label/no diagnosis use. CONCLUSIONS: The proportion of off-label/no diagnosis antipsychotic use declined from 2013 to 2016. Younger children and those receiving FGAs were more likely to be off-label antipsychotic users, with attention-deficit/hyperactivity disorder being the most prevalent off-label diagnosis. DISCLOSURES: No outside funding supported this study. The authors have nothing to disclose. This study was presented as an abstract at the American Academy of Child and Adolescent Psychiatry's 67th Annual Meeting (Virtual), October 2020.

The Risk Factors-Based Nursing Case Management Could Effectively Reduce the Incidence of Pressure Sores in Hospitalized Patients.

BACKGROUND: To explore the effects of risk factors-based nursing management on the occurrence of pressure sores in hospitalized patients. METHODS: From Jan 2018 to Jun 2018, 289 hospitalized patients were divided into pressure sores group [100] and control group [189] for retrospective analysis. Overall, 260 hospitalized patients from Jun 2018 to Dec 2018 were followed up for nursing intervention. Overall 130 patients received risk factors-based nursing case management were in the intervention group, whereas 130 patients who received routine nursing care were in the control group. The chi-square test and t-test were used to compare the count data and the measurement data between groups, respectively. RESULTS: Age, body weight and proportions of patients with impaired nutritional intake, diabetes or stroke in pressure sores group were higher than those in normal group (P<0.05). Hospital stay and operative time in pressure sores group was longer than those in normal group (P<0.05). The frequency of assistant activity in pressure sores group was significantly lower than that in control group (P<0.05).In addition, the score of uroclepsia in pressure sores group was lower than that in normal group (P<0.05). Patients in the intervention group showed lower risk for pressure sores and more satisfied than patients in control group (P<0.001). CONCLUSION: Advanced age, high body weight, diabetes and stroke, long hospital stay, long operative time, poor nutritional status and severe uroclepsia were independent risk factors of pressure sores. Risk factors-based nursing case management can effectively reduce the occurrence and risk of pressure sores for hospitalized patients.

Parental Investment After the Birth of a Sibling: The Effect of Family Size in Low-Fertility China.

A large body of research has examined the relationship between family size and child well-being in developing countries, but most of this literature has focused on the consequences of high fertility. The impact of family size in a low-fertility developing country context remains unknown, even though more developing countries are expected to reach below-replacement fertility levels. Set in China between 2010 and 2016, this study examines whether an increase in family size reduces parental investment received by the firstborn child. Using data from the China Family Panel Studies (CFPS), this study improves on previous research by using direct measures of parental investment, including monetary and nonmonetary investment, and distinguishing household-level from child-specific resources. It also exploits the longitudinal nature of the CFPS to mediate the bias arising from the joint determination of family size and parental investment. Results show that having a younger sibling significantly reduces the average household expenditure per capita. It also directly reduces parental investment received by the firstborn child, with two exceptions: (1) for firstborn boys, having a younger sister does not pose any competition; and (2) for firstborn children whose mothers have completed primary education or more, having a younger brother does not reduce parental educational aspirations for them. Findings from this study provide the first glimpse into how children fare as China transitions to a universal two-child policy regime but have wider implications beyond the Chinese context.

Analysis of the influencing factors of energy-related carbon emissions in Kazakhstan at different stages.

This study analyzes Kazakhstan's influencing factors of energy-related carbon emissions in different stages, and the study period (1992-2014) was divided into four stages by using the logarithmic mean Divisia index (LMDI) method. In the low efficiency and high output stage, Kazakhstan had the most energy-related carbon emissions. The total energy-related carbon emissions might be positive or negative in the high efficiency and high output stage and the low efficiency and low output stage, and this was mainly determined by the energy intensity effect or the economic output effect. Different influencing factors had different effects in the different stages from 1992 to 2014. The economic output effect was the first contributor for promoting energy-related carbon emissions, and the energy intensity factor was the first contributor for suppressing energy-related carbon emissions from 1992 to 2014. Finally, policy recommendations in terms of the main influencing factors are put forward, including the low-carbon economic development mode transformation, technological innovation, and renewable energy development.

Interleukin-1 Beta-Mediated Sex Differences in Kawasaki Disease Vasculitis Development and Response to Treatment.

OBJECTIVE: Kawasaki disease (KD) is the leading cause of acute vasculitis and acquired heart disease in children in developed countries. Notably, KD is more prevalent in males than females. We previously established a key role for IL (interleukin)-1 signaling in KD pathogenesis, but whether this pathway underlies the sex-based difference in susceptibility is unknown. Approach and Results: The role of IL-1 signaling was investigated in the Lactobacillus casei cell wall extract-induced experimental mouse model of KD vasculitis. Five-week-old male and female mice were injected intraperitoneally with PBS, Lactobacillus caseicell wall extract, or a combination of Lactobacillus caseicell wall extract and the IL-1 receptor antagonist Anakinra. Aortitis, coronary arteritis inflammation score and abdominal aorta dilatation, and aneurysm development were assessed. mRNA-seq (messenger RNA sequencing) analysis was performed on abdominal aorta tissue. Publicly available human transcriptomics data from patients with KD was analyzed to identify sex differences and disease-associated genes. Male mice displayed enhanced aortitis and coronary arteritis as well as increased incidence and severity of abdominal aorta dilatation and aneurysm, recapitulating the increased incidence in males that is observed in human KD. Gene expression data from patients with KD and abdominal aorta tissue of Lactobacillus caseicell wall extract-injected mice showed enhanced Il1b expression and IL-1 signaling genes in males. Although the more severe IL-1ß-mediated disease phenotype observed in male mice was ameliorated by Anakinra treatment, the milder disease phenotype in female mice failed to respond. CONCLUSIONS: IL-1ß may play a central role in mediating sex-based differences in KD, with important implications for the use of anti-IL-1ß therapies to treat male and female patients with KD.

Association of childhood socioeconomic status with edentulism among Chinese in mid-late adulthood.

BACKGROUND: The aim of this study was to examine the association between childhood socioeconomic status (SES) and edentulism. METHODS: The edentulous status of Chinese in mid-late adulthood was determined using self-reported lost all of teeth from the Health and Retirement Longitudinal Study (CHARLS). Childhood SES was determined based on the following parameters: the education, occupation and working status of the parents; financial situation of the family; relationship with the parents; care, love and affection from the mother; quarrels and fights between parents; primary residence; neighbors' willingness to help and with close-knit relationships. Adulthood SES was assessed by educational achievements. This study used principal component analysis (PCA) to select variables and binary logistic regression models to determine the association between childhood SES and edentulism. RESULTS: Data were available from a total of 17,713 respondents, 984 of whom were edentulous (2.9%). The prevalence of edentulism in mid- to late-age Chinese individuals was higher in those with poor childhood SES. In final regression model, edentulism was significantly associated with willingness of neighbors to help with close-knit relationships (OR = 0.89, 95% CI = 0.79-0.99), parents with high school education or above (OR = 1.18, 95% CI = 1.01-1.39) and drinking and smoking habits of the father (OR = 1.10, 95% CI = 0.97-1.24). CONCLUSION: Childhood SES was significantly associated with the prevalence of edentulism in mid- to late-age Chinese individuals. In particular, parents with high school education or above, unwillingness of neighbor to help with close-knit relationships, drinking and smoking habits of the father independent of adulthood SES were significantly associated with edentulism. Accordingly, the development of optimal recommendations and more effective intervention strategies requires considering the experiences in early life associated with poor SES contributes to poor oral health.

Extended STIRPAT model-based driving factor analysis of energy-related CO2 emissions in Kazakhstan.

Extended stochastic impact by regression on population, affluence, and technology model incorporating ridge regression was used to analyze the driving mechanism of energy-related CO2 emissions in Kazakhstan during 1992-2014. The research period was divided into two stages based on GDP of Kazakhstan in 1991 (85.70 × 109 dollars), the first stage (1992-2002), GDP < 85.70 × 109 dollars, the stage of economic recovery; the second stage (2003-2014), GDP > 85.70 × 109 dollars, the stable economic development stage. The results demonstrated that (1) population scale and the technological improvement were the dominant contributors to promote the growth of the CO2 emissions during 1992-2014 in Kazakhstan. (2) Economic growth and industrialization played more positive effect on the increase of the CO2 emissions in the stable economic development stage (2003-2014) than those in the stage of economic recovery (1992-2002). The proportion of the tertiary industry, the trade openness, and foreign direct investment were transformed from negative factors into positive factors in the stable economic development stage (2003-2014). (3) Due to the over-urbanization of Kazakhstan before the independence, the level of urbanization continued to decline, urbanization was the first factor to curb CO2 emissions during 1992-2014. Finally, some policy recommendations are put forward to reduce energy-related carbon emissions.

Radical Cyanotrifluoromethylation of Isocyanides: Step-Economical Access to CF3-Containing Nitriles, Amines, and Imines.

A novel copper-catalyzed radical cyanotrifluoromethylation has been achieved through a multicomponent reaction of isocyanides, Togni's reagent, and trimethylsilyl cyanides, affording trifluoroacetimidoyl nitriles in good yields. This reaction demonstrates a unique feature of merging two valuable functional groups-trifluoromethyl (CF3) and cyan (CN)-onto the same C atom. The transformation proceeds by the initial addition of the CF3 radical to isocyanide and the subsequent intermolecular C-CN formation. The products can be successfully transformed to a series of CF3-containing amines and imines that may serve in the synthesis of valuable pharmaceuticals and agrochemicals.

Clinical and magnetic resonance imaging assessment of anatomical lateral ankle ligament reconstruction: comparison of tendon allograft and autograft.

PURPOSE: To compare the results of anatomical lateral ankle ligament (LAL) reconstruction with tendon allograft and autograft using clinical scores and ultrashort echo time (UTE) sequence of MRI. METHODS: A total of 26 patients with LAL reconstruction were recruited in this study, including 16 using semitendinosus allografts and 10 using semitendinosus autograft. All of them were diagnosed as chronic ankle instability and accepted anatomic reconstruction. The American Orthopedic Foot and Ankle Society (AOFAS) score, Karlsson score, and radiological evaluation using MRI UTE scanning were extracted from each patient. The comparative analysis of the clinical assessments and UTE-T2* values were performed between the patients using autografts and allografts. RESULTS: For the allograft group, the mean AOFAS score improved from 69.9 ± 13.3 to 94.8 ± 5.4 (P = 0.000), and the mean Karlsson score improved from 70.3 ± 12.2 to 93.8 ± 5.6 (P = 0.000). For the autograft group, the mean AOFAS score improved from 68.4 ± 10.0 to 94.7 ± 5.0 (P = 0.000), and the mean Karlsson score improved from 64.5 ± 14.4 to 95.0 ± 5.8 (P = 0.000). No significant differences were found between the allograft and autograft neither before (AOFAS P = 0.756, Karlsson P = 0.285) nor after (AOFAS P = 0.957, Karlsson P = 0.574) surgery. While the UTE T2* values in allograft were higher than those of autograft group both in anterior talofibular ligament (8.3 ± 1.0 vs 7.6 ± 1.1 P = 0.027) and intra-tunnel graft (7.8 ± 0.6 vs 7.2 ± 0.8 P = 0.045). CONCLUSION: Both allograft and autograft reconstructions could get an ideal patient satisfaction and clinical functional outcomes at the follow-up. Higher T2* values were found in allograft group which indicated that autograft had some superiorities in respect of revascularization process, collagen structure, water content, and tendon properties.

A Truthful Incentive Mechanism for Online Recruitment in Mobile Crowd Sensing System.

We investigate emerging mobile crowd sensing (MCS) systems, in which new cloud-based platforms sequentially allocate homogenous sensing jobs to dynamically-arriving users with uncertain service qualities. Given that human beings are selfish in nature, it is crucial yet challenging to design an efficient and truthful incentive mechanism to encourage users to participate. To address the challenge, we propose a novel truthful online auction mechanism that can efficiently learn to make irreversible online decisions on winner selections for new MCS systems without requiring previous knowledge of users. Moreover, we theoretically prove that our incentive possesses truthfulness, individual rationality and computational efficiency. Extensive simulation results under both real and synthetic traces demonstrate that our incentive mechanism can reduce the payment of the platform, increase the utility of the platform and social welfare.

The Current Situation of Hypertension among Rural Minimal Assurance Family Participants in Liaoning (China): A Cross-Sectional Study.

In China, the prevalence of hypertension is increasing and is showing an epidemic accelerating trend. However, there is a lack of studies reporting the hypertension status of rural residents with minimum living allowances. We performed a cross-sectional study including 11,435 (5285 men and 6150 women) from the general population aged ≥35 years in the Liaoning Province of China from 2012 to 2013, of which 1258 (11.0%) participants came from minimal assurance families. Anthropometric measurements, laboratory examinations and self-reported lifestyle factor information were collected by trained personnel. Multivariate logistic regression was used to detect the association between socioeconomic status (SES) and the risk of hypertension. We found that the prevalence of hypertension was as high as 61.9% in participants from minimal assurance families and the odd ratio for hypertension was 1.32 (95% CI: 1.15-1.52). The awareness, treatment, and control rates among treated hypertensive participants did not increase with higher level of income and education. In the total sample, the lower income levels increased the risk for hypertension, but education didn't show a significant association with hypertension. Thus, there is a severe hypertension situation in the Liaoning rural population of minimal assurance families, which need more attention and prevention and control measures for hypertension.

[Distribution and Potential Ecological Risk Assessment of Heavy Metals in Surface Sediments of Inflow Rivers to Northeastern Lake Tanganyika].

As the second deepest lake in Africa, Lake Tanganyika plays an important role in supplying fish protein for citizens in the catchment. However, the lake is increasingly threatened by environmental pollution with the development of social economy and expanding of population. In order to reveal the external source of heavy metals in Lake Tanganyika, 16 surface sediment samples from the rivers which flow into the northeast of the lake were collected and analyzed. Besides the contents, the potential ecological risk indices (RI) of each heavy metal were also analyzed. Furthermore, the relationship, between land use and the spatial distribution of heavy metals was also discussed. The average contents of Cu, Zn, Cd, Pb and Hg were 18. 4, 21.2, 0.05, 6.6 mg x kg(-1) and 8.4 ng x g(-1), respectively, with the maximum values of Zn, Pb and Cd located in Bujumbura urban rivers. The data indicated that all the inflow rivers were at low potential ecological risk. RI of heavy metals ranked as the following order: Cd > Hg > Cu > Pb > Zn, as Cd being the key element contributing to the risk. The relationship between land use and heavy metals showed that the contents of heavy metals were highest in urban areas, followed by estuarine wetlands, and woodlands were least polluted by heavy metals. This distribution type implied that human activities could cause the heavy metal accumulation in the surface sediments of nearby rivers. The urban areas and estuarine wetlands need to be concerned in the further study.

[Application of carrying capacity assessment in spatial allocation of regional population: a case of Changzhou City of East China].

Based on the spatial differences in urban ecosystem carrying capacity, and by using geographic information system (GIS) spatial analysis technology and system dynamics (SD) model, this paper ascertained the moderate population size in urban area and its subareas, and presented an alternative method for quantitatively allocate the population. This method was applied in Changzhou, a city with more than three million populations in East China. A SD model consisted of population, economy, land and environment modules for the city was established and scenario analysis was made. The results showed that under the requirements of satisfying both economic development and environmental protection, the total population in the city in 2050 would reach nearly 4 million, and according to the differences in the urban ecosystem carrying capacity, a spatial allocation pattern of 2.4 million populations in main city and 150000-400000 populations in each of 5 new towns was proposed. This study could provide scientific support for the spatial allocation of population and economy in country land development and management.

[Application of Citygreen model in benefit assessment of Nanjing urban greenbelt in carbon fixation and runoff reduction].

Based on the analysis of the framework and calculation principles of Citygreen model in assessing the benefits of urban greenbelt in carbon fixation and runoff reduction, an approach was made to obtain appropriate parameters of this model to calculate the ecological benefits of different urban land use types in the main urban district of Nanjing. The results indicated that the main urban district of Nanjing had much lower carbon fixation benefit than natural forest on per unit area base, being about 5%-60% of the latter. The ecological value of carbon fixation and runoff reduction of Nanjing urban greenbelt was about 177 million RMB in total, and the ecological benefits of different land use types were in the order of green land > public facility > residential > road and square > industrial > municipal. This research could provide references for city planning and urban greenbelt establishment, and facilitate the popularization of quantitative assessment on greenbelt ecological benefits of Chinese cities.