Results of a Pilot External Quality Assessment Scheme for Genetic Testing of Newborns with Spinal Muscular Atrophy.

BACKGROUND: This study aims to evaluate the ability of laboratories to perform spinal muscular atrophy (SMA) genetic testing in newborns based on dried blood spot (DBS) samples, and to provide reference data and advance preparation for establishing the pilot external quality assessment (EQA) scheme for SMA genetic testing of newborns in China. METHODS: The pilot EQA scheme contents and evaluation principles of this project were designed by National Center for Clinical Laboratories (NCCL), National Health Commission. Two surveys were carried out in 2022, and 5 batches of blood spots were submitted to the participating laboratory each time. All participating laboratories conducted testing upon receiving samples, and test results were submitted to NCCL within the specified date. RESULTS: The return rates were 75.0% (21/28) and 95.2% (20/21) in the first and second surveys, respectively. The total return rate of the two examinations was 83.7% (41/49). Nineteen laboratories (19/21, 90.5%) had a full score passing on the first survey, while in the second survey twenty laboratories (20/20, 100%) scored full. CONCLUSIONS: This pilot EQA survey provides a preliminary understanding of the capability of SMA genetic testing for newborns across laboratories in China. A few laboratories had technical or operational problems in testing. It is, therefore, of importance to strengthen laboratory management and to improve testing capacity for the establishment of a national EQA scheme for newborn SMA genetic testing.

Wearable Sensors as a Preoperative Assessment Tool: A Review.

Surgery is a common first-line treatment for many types of disease, including cancer. Mortality rates after general elective surgery have seen significant decreases whilst postoperative complications remain a frequent occurrence. Preoperative assessment tools are used to support patient risk stratification but do not always provide a precise and accessible assessment. Wearable sensors (WS) provide an accessible alternative that offers continuous monitoring in a non-clinical setting. They have shown consistent uptake across the perioperative period but there has been no review of WS as a preoperative assessment tool. This paper reviews the developments in WS research that have application to the preoperative period. Accelerometers were consistently employed as sensors in research and were frequently combined with photoplethysmography or electrocardiography sensors. Pre-processing methods were discussed and missing data was a common theme; this was dealt with in several ways, commonly by employing an extraction threshold or using imputation techniques. Research rarely processed raw data; commercial devices that employ internal proprietary algorithms with pre-calculated heart rate and step count were most commonly employed limiting further feature extraction. A range of machine learning models were used to predict outcomes including support vector machines, random forests and regression models. No individual model clearly outperformed others. Deep learning proved successful for predicting exercise testing outcomes but only within large sample-size studies. This review outlines the challenges of WS and provides recommendations for future research to develop WS as a viable preoperative assessment tool.

Understanding the mediating role of labor out-migration in household income generation and distribution under a reforestation policy in rural China.

Income inequality is a critical issue of socio-economic development, particularly in rural areas where forest-dependent people are often vulnerable to the intervention of forest policies. This paper aims to elucidate income distribution and inequality of rural households influenced by China's largest reforestation policy implemented in early 2000s. Drawing on socioeconomic and demographic data from household surveys in two rural sites, we applied the Gini coefficient to measure income inequality and used a regression-based approach to examine the underlying factors that are associated with income generation among households. We also performed a mediation analysis to test the role of labor out-migration in shaping household income distribution under the reforestation policy. Results show that remittances sent by rural out-migrants substantially contribute to household income but tend to worsen inequality, particularly for households having retired cropland for reforestation. The inequality in total income depends on capital accumulation for land endowment and labor availability that render diversified livelihoods possible. Such linkage reveals regional disparity, which, along with policy-implementing institutions (e.g., rules for tree species choice for reforestation), can influence income generation from a given source (e.g., agriculture). Rural out-migration of female labor significantly mediates the economic benefits of the policy delivered to the households with an estimated mediating share of 11.7%. These findings add value to the knowledge of poverty-environment interrelationships in a sense that supporting rural livelihoods of the more vulnerable and underrepresented groups is essential for securing and sustaining the stewardship of forests. Policymaking for such forest restoration programs needs to integrate strategies for targeted or precise poverty alleviation to strengthen the conservation effectiveness.

[Research progress and maturity assessment of continuous manufacturing of traditional Chinese medicine].

The pharmaceutical manufacturing model is gradually changing from intermittent manufacturing to continuous manufacturing and intelligent manufacturing. This paper briefly reviewed the supervision and research progress in continuous pharmaceutical manufacturing in China and abroad and described the definition and advantages of continuous pharmaceutical manufacturing. The continuous manufacturing of traditional Chinese medicine(TCM) at the current stage was summarized in the following three terms: the enhancement of the continuity of intermittent manufacturing operations, the integration of continuous equipment to improve physical continuity between units, and the application of advanced process control strategies to improve process continuity. To achieve continuous manufacturing of TCM, the corresponding key technologies, such as material property characterization, process modeling and simulation, process analysis technology, and system integration, were analyzed from the process and equipment, respectively. It was proposed that the continuous manufacturing equipment system should have the characteristics of high speed, high response, and high reliability, "three high(H~3)" for short. Considering the characteristics and current situation of TCM manufacturing, based on the two dimensions of product quality control and production efficiency, a maturity assessment model for continuous manufacturing of TCM, consisting of operation continuity, equipment continuity, process continuity, and quality control continuity, was proposed to provide references for the application of continuous manufacturing technology for TCM. The implementation of continuous manufacturing or the application of key continuous manufacturing technologies in TCM can help to systematically integrate advanced pharmaceutical technology elements and promote the uniformity of TCM quality and the improvement of production efficiency.

Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR Imaging.

BACKGROUND: Determination of H3 K27M mutation in diffuse midline glioma (DMG) is key for prognostic assessment and stratifying patient subgroups for clinical trials. MRI can noninvasively depict morphological and metabolic characteristics of H3 K27M mutant DMG. PURPOSE: This study aimed to develop a deep learning (DL) approach to noninvasively predict H3 K27M mutation in DMG using T2-weighted images. STUDY TYPE: Retrospective and prospective. POPULATION: For diffuse midline brain gliomas, 341 patients from Center-1 (27 ± 19 years, 184 males), 42 patients from Center-2 (33 ± 19 years, 27 males) and 35 patients (37 ± 18 years, 24 males). For diffuse spinal cord gliomas, 133 patients from Center-1 (30 ± 15 years, 80 males). FIELD STRENGTH/SEQUENCE: 5T and 3T, T2-weighted turbo spin echo imaging. ASSESSMENT: Conventional radiological features were independently reviewed by two neuroradiologists. H3 K27M status was determined by histopathological examination. The Dice coefficient was used to evaluate segmentation performance. Classification performance was evaluated using accuracy, sensitivity, specificity, and area under the curve. STATISTICAL TESTS: Pearson's Chi-squared test, Fisher's exact test, two-sample Student's t-test and Mann-Whitney U test. A two-sided P value <0.05 was considered statistically significant. RESULTS: In the testing cohort, Dice coefficients of tumor segmentation using DL were 0.87 for diffuse midline brain and 0.81 for spinal cord gliomas. In the internal prospective testing dataset, the predictive accuracies, sensitivities, and specificities of H3 K27M mutation status were 92.1%, 98.2%, 82.9% in diffuse midline brain gliomas and 85.4%, 88.9%, 82.6% in spinal cord gliomas. Furthermore, this study showed that the performance generalizes to external institutions, with predictive accuracies of 85.7%-90.5%, sensitivities of 90.9%-96.0%, and specificities of 82.4%-83.3%. DATA CONCLUSION: In this study, an automatic DL framework was developed and validated for accurately predicting H3 K27M mutation using T2-weighted images, which could contribute to the noninvasive determination of H3 K27M status for clinical decision-making. EVIDENCE LEVEL: 2 Technical Efficacy: Stage 2.

Development and Validation of a Multivariable Prediction Model to Identify Acute Exacerbation of COPD and Its Severity for COPD Management in China (DETECT Study): A Multicenter, Observational, Cross-Sectional Study.

Purpose: There is an unmet clinical need for an accurate and objective diagnostic tool for early detection of acute exacerbation of chronic obstructive pulmonary disease (AECOPD). DETECT (NCT03556475) was a multicenter, observational, cross-sectional study aiming to develop and validate multivariable prediction models for AECOPD occurrence and severity in patients with chronic obstructive pulmonary disease (COPD) in China. Patients and Methods: Patients aged ≥40 years with moderate/severe COPD, AECOPD, or no COPD were consecutively enrolled between April 22, 2020, and January 18, 2021, across seven study sites in China. Multivariable prediction models were constructed to identify AECOPD occurrence (primary outcome) and AECOPD severity (secondary outcome). Candidate variables were selected using a stepwise procedure, and the bootstrap method was used for internal model validation. Results: Among 299 patients enrolled, 246 were included in the final analysis, of whom 30.1%, 40.7%, and 29.3% had COPD, AECOPD, or no COPD, respectively. Mean age was 64.1 years. Variables significantly associated with AECOPD occurrence (P<0.05) and severity (P<0.05) in the final models included COPD disease-related characteristics, as well as signs and symptoms. Based on cut-off values of 0.374 and 0.405 for primary and secondary models, respectively, the performance of the primary model constructed to identify AECOPD occurrence (AUC: 0.86; sensitivity: 0.84; specificity: 0.77), and of the secondary model for AECOPD severity (AUC: 0.81; sensitivity: 0.90; specificity: 0.73) indicated high diagnostic accuracy and clinical applicability. Conclusion: By leveraging easy-to-collect patient and disease data, we developed identification tools that can be used for timely detection of AECOPD and its severity. These tools may help physicians diagnose AECOPD in a timely manner, before further disease progression and possible hospitalizations.

Model-based assessment of cardiopulmonary autonomic regulation in paced deep breathing.

Autonomic dysfunction can lead to many physical and psychological diseases. The assessment of autonomic regulation plays an important role in the prevention, diagnosis, and treatment of these diseases. A physiopathological mathematical model for cardiopulmonary autonomic regulation, namely Respiratory-Autonomic-Sinus (RSA) regulation Model, is proposed in this study. A series of differential equations are used to simulate the whole process of RSA phenomenon. Based on this model, with respiration signal and ECG signal simultaneously acquired in paced deep breathing scenario, we manage to obtain the cardiopulmonary autonomic regulation parameters (CARP), including the sensitivity of respiratory-sympathetic nerves and respiratory-parasympathetic nerves, the time delay of sympathetic, the sensitivity of norepinephrine and acetylcholine receptor, as well as cardiac remodeling factor by optimization algorithm. An experimental study has been conducted in healthy subjects, along with subjects with hypertension and coronary heart disease. CARP obtained in the experiment have shown their clinical significance.

Validation of two risk assessment models for venous thromboembolism in patients undergoing gynecologic surgery.

BACKGROUND: According to published guidelines, gynecologic surgical patients should be stratified into different risk level groups to receive prophylaxis for venous thromboembolism (VTE), but the applicability of available risk assessment models (RAMs) in common gynecologic surgical patients remained to be confirmed. We aimed to validate the use of the Caprini RAM and gynecologic Caprini (G-Caprini) RAM for assessing postoperative VTE risk in gynecologic surgical patients. METHODS: The database of a randomized controlled trial (RCT) was used to select patients who underwent gynecologic surgeries for benignant and malignant diseases in five institutions in China between 2011 and 2018. The Caprini RAM version recommended by the American College of Chest Physicians (ACCP) was adopted. Participants were divided into four risk levels based on the Caprini and G-Caprini scores. For each risk level group, the incidence of VTE was calculated. The correlation between VET incidence and risk levels was assessed by Spearman's rank correlation coefficient (RS) value. RESULTS: As a result, 800 patients in the data base were analyzed with an overall VTE incidence of 5.8%. Caprini RAM showed that the percentage of patients at very low risk, low risk, moderate risk, and high risk were 0%, 4.3%, 44.4%, and 51.4%, respectively, and the VTE incidence was 2.9%, 2.3%, and 9.0%, respectively. RS value between the risk stratification and VTE incidence was 0.500 (P=0.667). G-Caprini RAM showed that the percentage of patients at very low risk, low risk, moderate risk, and high risk were 7.8%, 28.0%, 32.0%, and 32.3%, respectively, and the VTE incidence was 0.0%, 2.9%, 2.3%, and 9.0%, respectively. RS value between the risk stratification and VTE incidence was 1.000 (P<0.01). CONCLUSIONS: The G-Caprini RAM was as suitable as the Caprini RAM for VTE risk assessment in gynecologic surgical patients. The gynecologic model has the advantages of ease of use and more accurate identification of low-risk groups.

Esthetic Evaluation and Acceptability of Different Hole Designs on Implant Crowns from the Perspective of Patients and Dentists in China.

PURPOSE: Abutment access hole on dental implant crowns may facilitate crown retrieval and reduce cement overflow but present esthetic obstacle for patients. This study aimed to investigate the esthetic evaluation and acceptability of implant crowns with different hole designs from the perspective of patients and dentists. MATERIALS AND METHODS: Anterior and posterior implant zirconia crowns were fabricated into three types: no hole (NH), 1 mm micro hole (MH), and 2.5 mm regular hole (RH). The NH crown was set as the control, and the anterior and posterior crowns with MH and RH were evaluated. The subjects, who were recruited randomly, were comprised of lay patients (n=60) and professional dentists (n=30). All subjects were invited to evaluate the esthetic performance of MH and RH crowns on a Visual Analog Scale (VAS), rate them from 0 to 10, state their acceptability of these crowns, and label them as acceptable and unacceptable. RESULTS: The ANOVA analysis of the VAS esthetic evaluation showed that the size of the hole, the position of the teeth, and the professional background of the subject significantly and independently affected esthetic perception. Crowns with MH in the posterior position had higher esthetic scores and acceptability compared with crowns with RH in the anterior position, and dentists tended to show higher acceptance and better esthetic rating for crowns with holes compared with lay patients. CONCLUSION: The hypothesis that patients and dentists hold similar esthetic evaluations or acceptability towards implant crown hole designs was rejected. Lay patients had a lower tolerance for venting holes than dentists. Crowns with 1 mm micro holes were more recommendable than crowns with regular abutment access holes from the point of view of satisfying patients' esthetic needs.

Low Cost, Easily-Assembled Centrifugal Buoyancy-Based Emulsification and Digital PCR.

Microfluidic-based droplet generation approaches require the design of microfluidic chips and a precise lithography process, which require skilled technicians and a long manufacturing time. Here we developed a centrifugal buoyancy-based emulsification (CBbE) method for producing droplets with high efficiency and minimal fabrication time. Our approach is to fabricate a droplet generation module that can be easily assembled using syringe needles and PCR tubes. With this module and a common centrifuge, high-throughput droplet generation with controllable droplet size could be realized in a few minutes. Experiments showed that the droplet diameter depended mainly on centrifugal speed, and droplets with controllable diameter from 206 to 158 µm could be generated under a centrifugal acceleration range from 14 to 171.9 g. Excellent droplet uniformity was achieved (CV < 3%) when centrifugal acceleration was greater than 108 g. We performed digital PCR tests through the CBbE approach and demonstrated that this cost-effective method not only eliminates the usage of complex microfluidic devices and control systems but also greatly suppresses the loss of materials and cross-contamination. CBbE-enabled droplet generation combines both easiness and robustness, and breaks the technical challenges by using conventional lab equipment and supplies.

Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution.

Preliminary studies have shown the feasibility of deep learning (DL)-based super-resolution (SR) technique for reconstructing thick-slice/gap diagnostic MR images into high-resolution isotropic data, which would be of great significance for brain research field if the vast amount of diagnostic MRI data could be successively put into brain morphometric study. However, less evidence has addressed the practicability of the strategy, because lack of a large-sample available real data for constructing DL model. In this work, we employed a large cohort (n = 2052) of peculiar data with both low through-plane resolution diagnostic and high-resolution isotropic brain MR images from identical subjects. By leveraging a series of SR approaches, including a proposed novel DL algorithm of Structure Constrained Super Resolution Network (SCSRN), the diagnostic images were transformed to high-resolution isotropic data to meet the criteria of brain research in voxel-based and surface-based morphometric analyses. We comprehensively assessed image quality and the practicability of the reconstructed data in a variety of morphometric analysis scenarios. We further compared the performance of SR approaches to the ground truth high-resolution isotropic data. The results showed (i) DL-based SR algorithms generally improve the quality of diagnostic images and render morphometric analysis more accurate, especially, with the most superior performance of the novel approach of SCSRN. (ii) Accuracies vary across brain structures and methods, and (iii) performance increases were higher for voxel than for surface based approaches. This study supports that DL-based image super-resolution potentially recycle huge amount of routine diagnostic brain MRI deposited in sleeping state, and turning them into useful data for neurometric research.

A Review of Influencing Factors on Spatial Spread of COVID-19 Based on Geographical Perspective.

The COVID-19 outbreak is a manifestation of the contradiction between man and land. Geography plays an important role in epidemic prevention and control with its cross-sectional characteristics and spatial perspective. Based on a systematic review of previous studies, this paper summarizes the research progress on factors influencing the spatial spread of COVID-19 from the research content and method and proposes the main development direction of geography in epidemic prevention and control research in the future. Overall, current studies have explored the factors influencing the epidemic spread on different scales, including global, national, regional and urban. Research methods are mainly composed of quantitative analysis. In addition to the traditional regression analysis and correlation analysis, the spatial lag model, the spatial error model, the geographically weighted regression model and the geographic detector have been widely used. The impact of natural environment and economic and social factors on the epidemic spread is mainly reflected in temperature, humidity, wind speed, air pollutants, population movement, economic development level and medical and health facilities. In the future, new technologies, new methods and new means should be used to reveal the driving mechanism of the epidemic spread in a specific geographical space, which is refined, multi-scale and systematic, with emphasis on exploring the factors influencing the epidemic spread from the perspective of spatial and behavioral interaction, and establish a spatial database platform that combines the information of residents' cases, the natural environment and economic society. This is of great significance to further play the role of geography in epidemic prevention and control.

Motor Function Assessment of Upper Limb in Stroke Patients.

Background: Quantitative assessment of motor function is extremely important for poststroke patients as it can be used to develop personalized treatment strategies. This study aimed to propose an evaluation method for upper limb motor function in stroke patients. Methods: Thirty-four stroke survivors and twenty-five age-matched healthy volunteers as the control group were recruited for this study. Inertial sensor data and surface electromyography (sEMG) signals were collected from the upper limb during voluntary upward reaching. Five features included max shoulder joint angle, peak and average speeds, torso balance calculated from inertial sensor data, and muscle synergy similarity extracted from sEMG data by the nonnegative matrix factorization algorithm. Meanwhile, the Fugl-Meyer score of each patient was graded by professional rehabilitation therapist. Results: Statistically significant differences were observed among severe, mild-to-moderate, and control group of five features (p ≤ 0.001). The features varied as the level of upper limb motor function changes since these features significantly correlated with the Fugl-Meyer assessment scale (p ≤ 0.001). Moreover, the Bland-Altman method was conducted and showed high consistency between the evaluation method of five features and Fugl-Meyer scale. Therefore, the five features proposed in this paper can quantitatively evaluate the motor function of stroke patients which is very useful in the rehabilitation process.

Assessment of fibula flap with flexor hallucis longus's effect on head & neck tumor patients' quality of life and function of donor site.

OBJECTIVE: Free fibular flaps (FFFs) have been widely used in mandibular reconstruction. It is still unclear whether retaining flexor hallucis longus (FHL) is needed for flaps. This study introduces a comparison in quality of life and donor-site function between those who have and haven't harvested FHL with FFF. METHODS: Patients with FFFs were single-blind-randomly assigned into the FHL group or nFHL group. Patients were followed up preoperatively and 1, 3 and 6 months postoperatively via subjective evaluations (SF-36/AOFAS) and objective evaluation s(muscle strength and range of motion). Patients' hospitalization and intraoperative information, donor site morbidity were recorded. RESULTS: Each group had 15 patients. The flap harvesting time in FHL group was shorter significantly than nFHL group (125.9 ± 24.8 min vs 146.7 ± 29.9 min, P = 0.048). There were no significant differences in hospitalization information such as operation time, hospitalization days and cost. Donor site morbidities at 1, 3 and 6 months postoperatively showed no significant differences except for the presence of claw toes (nFHL group > FHL group, 40% vs 0, P = 0.017; 53.3% vs 6.7%, P = 0.014; 60.0% vs 13.3%, P = 0.021). There were no significant differences in SF-36 and AOFAS scores. There were no significant differences in muscle strength and range of motion. CONCLUSION: Excision of the FHL lowered the flap harvesting time. It did not increase donor site morbidity. The impacts on patients' quality of life and foot function were the same. The surgeons can use the FHL without considering the influence on patients if not retaining the FHL.

Quantitative Assessment of Autonomic Regulation of the Cardiac System.

Autonomic neural system (ANS) regulates the circulation to provide optimal perfusion of every organ in accordance with its metabolic needs, and the quantitative assessment of autonomic regulation is crucial for personalized medicine in cardiovascular diseases. In this paper, we propose the Dystatis to quantitatively evaluate autonomic regulation of the human cardiac system, based on homeostatis and probabilistic graphic model, where homeostatis explains ANS regulation while the probability graphic model systematically defines the regulation process for quantitative assessment. The indices and measurement methods for three well-designed scenarios are also illustrated to evaluate the proposed Dystatis: (1) heart rate variability (HRV), blood pressure variability (BPV), and respiration synchronization (Synch) in resting situation; (2) chronotropic competence indices (CCI) in graded exercise testing; and (3) baroreflex sensitivity (BRS), sympathetic nerve activity (SNA), and parasympathetic nerve activity (PNA) in orthostatic testing. The previous clinical results have shown that the proposed method and indices for autonomic cardiac system regulation have great potential in prediction, diagnosis, and rehabilitation of cardiovascular diseases, hypertension, and diabetes.

Comprehensive assessment of the donor-site of the anterolateral thigh flap: A prospective study in 33 patients.

BACKGROUND: The anterolateral thigh (ALT) free flap has been an extremely versatile flap. The purpose of this study was to propose comprehensive functional assessments of the donor site. METHODS: A total of 33 ALT flaps were enrolled prospectively. Objective assessments included isokinetic testing of the knee, and electromyographic examination of the lateral femoral cutaneous nerve (LFCN). The Patient and Observer Scar Assessment Scale (POSAS) was used to subjectively assess the donor-site scar. RESULTS: On the donor side, a significant decrease in most isokinetic muscle strength values was obvious 1 year postoperatively (P < .01). The normal side showed a compensatory increase 1 year postoperatively in the majority of isokinetic muscle strength values (P < .05). The majority of patients (70%) showed decreased sensory conduction velocity of the LFCN or no response to the microcurrent stimulation postoperatively. The aesthetic outcome was satisfactory. CONCLUSION: The decline in functional parameters at the donor-site was common. However, much more research is needed.

A critical assessment of the fibula flap donor site.

BACKGROUND: The free fibula flap has become popular for mandibular reconstruction. The purpose of this study was to propose comprehensive functional assessments of the donor site. METHODS: Thirty free fibula flaps for mandible reconstruction were prospectively enrolled in the study. Objective assessments included isokinetic testing of the ankle joint, electromyographic examination of the superficial peroneal nerve (SPN), and preoperative and postoperative foot scans. The Patient and Observer Scar Assessment Scale (POSAS) was used to subjectively assess the donor site. RESULTS: The isokinetic values of the donor side showed a significant decrease 1 year postoperatively. The results of the electromyographic test of the SPN were categorized as 3 types. The plantar center pressure shifted to the heel on the donor side 6 months postoperatively. The aesthetic outcome was satisfactory. CONCLUSION: The functional parameters of the donor site indeed declined in our assessments. Further refinements in the surgical technique are needed to improve the donor site status. © 2016 Wiley Periodicals, Inc. Head Neck 39: 279-287, 2017.

Evolution of China's water issues as framed in Chinese mainstream newspaper.

There is an urgent need globally to trigger fundamental societal changes in water management away from existing unsustainable paradigms. This paper attempts to understand the evolution of newspaper coverage of water issues in China by analyzing water-related articles in a major national newspaper, the People's Daily, over the period 1946-2012 using a content analysis approach. The major findings include the following: (1) water issues were in relatively prominent positions in the newspaper; (2) the reporting of water issues in China experienced three stages: 1946 to the middle of 1980s-flood and drought control and water for food production, the middle of 1980s to 1997-water for economic development, and 1998 to the present-water for the environmental sustainability and economic development; (3) the reporting of water issues in the People's Daily clearly reflected China's top-down water resources management system, and no "real" public opinions on water were reported during the study period; and (4) the People's Daily is just a wind vane of Chinese mainstream values and policies on water. The findings supported the realist assumption that the societal value changes on water issues in China were triggered by a range of factors including biophysical pressure (floods and droughts), political campaign (the Cultural Revolution), macro-economic reform (Reform and Opening-up), water institutional arrangement (the Water Law), and water management reform (the No. 1 Central Document on water reform). While there are similarities and differences between this study and other studies, important implications for more sustainable water management are a need to strengthen academic specialists' and NGO's voices in the newspaper to create a better informed public, and to stimulate practices toward sustainable water use.

[Exposure assessment of liver cancer attributed to dietary aflatoxins exposure in Chinese residents].

OBJECTIVE: To evaluate the risk of liver cancer attributed to dietary aflatoxins exposure in Chinese residents. METHODS: Mathematics model and "Margin of Exposure (MOE)" methods were employed in this study. The data used in mathematics model came from Joint FAO/WHO Expert Committee on Food Additives (JECFA) and the detection results of hepatitis B virus ( HBV) indicator in Chinese residents' blood sample in 2004. The data used in MOE model came from animal experiments, the fourth nutrition and health investigation among Chinese residents, and national inspection network for food contaminations. RESULTS: Mathematics model indicated that for those people who were exposed to aflatoxins at average level (665.43 ng/d), the liver cancer incidence rate resulting from aflatoxins exposure was 0.4033 per 100 thousand person years. For those people who were exposed to aflatoxins at a high level (97.5 percentile, 24 787.20 ng/d) the liver cancer incidence rate attributed to aflatoxins exposure was 15.0215 per 100 thousand person years. Results from the MOE method showed that for the people in whole country, urban and rural areas who were exposed to aflatoxins at average level (0.011 09, 0.008 13 and 0.012 49 microg x kg(-1) x d(-1) respectively), the MOE values for aflatoxins to cause liver cancer were 9017.1, 12 304.7 and 8006.4 respectively. For those people who were exposed to aflatoxins at a high level (97.5 percentile, 0.413 10, 0.289 30 and 0.489 50 microg x kg(-1) x d(-1) respectively), the MOE values for aflatoxins to cause liver cancer were 242.1, 345.7 and 204.3 for whole country, urban and rural areas, respectively. CONCLUSION: For the people whose dietary aflatoxins exposure at average level, the risk of liver cancer attributed to aflatoxins is middle. For the people whose dietary aflatoxins exposure at high level, this kind of risk should be high.