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Official discourses of Development are being redefined. If the key geopolitical contexts shaping the post‐war Development project were decolonisation and the Cold War, the defining world‐historical transformations shaping the emerging vision of Development are the expansion of state capitalism and the rise of China. The IMF, the World Bank, the OECD, the G20, other multilaterals, and bilateral partners are increasingly taking stock of the rise of state capitalism, and acting as ideational vectors of this emerging regime. However, this new “state capitalist normal” is also portrayed as carrying risks. There is anxiety regarding the direction the political form of global capital accumulation is heading: with the unchecked proliferation of state capitalism possibly blunting competition, politicising economic relations, and intensifying geoeconomic tensions. This anxiety underwrites the current re‐articulation of Development, one which embraces the state as promoter, supervisor, and owner of capital; even as it critiques China’s use of similar instruments.

Objective Fear of cancer recurrence (FCR) is a common psychosocial sequela among cancer survivors, but data on patients with multiple myeloma are scarce. This study calculated the prevalence of FCR and identified family and social factors that predict FCR in the study population. Methods We recruited 127 myeloma patients and their partners to participate in a cross‐sectional survey from a regional tertiary cancer centre in China. The questionnaires included items on demographic characteristics and from the fear of disease progression simplified scale, family hardiness index and Social Support Scale. Univariate and multivariate regression was used to identify predictors of FCR. Results Of the participants, 56.4% patients reported high‐level FCR, which was similar to the partner‐reported proportion. The partners' FCR was positively associated with the patients' FCR, while family hardiness and social support were statistically significant, negative predictors. Conclusions Interventions to mitigate partners' FCR and improve family hardiness and social support may help with the psychological adjustment and well‐being of myeloma patients.

We developed a method to better estimate the carbon stocks of in-use harvested wood products (HWP) by using the Eora multiregional input-output tables to link global HWP production and end uses, compared to existing global-scale studies that focused on semifinished HWP. Using the new method, we allocated global HWP to country-specific end uses, including solid HWP used in (1) construction, (2) furniture production, and (3) other end uses, and as (4) household and sanitary paper and (5) other paper and paper products, while the HWP carbon stocks in these end uses were estimated using the Stock Change Approach. We reported that HWP produced globally contained an annual average of 277.7 teragram carbon in 1992-2015, of which 63.0, 12.6, 76.7, 9.1, and 116.3 teragram carbon were consumed by the above five end uses, respectively. By 2015, the carbon stocks of global in-use HWP produced since 1992 accumulated to 2938 teragrams of carbon, of which the above five HWP end uses accounted for 1489, 268, 890, 0, and 291 teragrams of carbon, respectively. Country-specific HWP production and consumption varied significantly, with the eight leading consuming countries (United States, China, Japan, Canada, Germany, Russia, United Kingdom, and France) accounting for 69% of the global in-use HWP carbon stocks. published

Chlorine bleaching technology (C process, CEH process, H process and theirs combination), which was identified as a primary formation source of PCDD/Fs, is still widely used by the vast majority of Chinese non-wood pulp and paper mills (non-wood PMs). The purpose of this study was to provide information and data support for further eliminating dioxin for non-wood PMs in China, and especially to evaluate the PCDD/Fs release reduction for those mills converting their pulp bleaching processes from CEH to ECF. The PCDD/Fs concentrations of the bleached pulp and bleaching wastewater with ECF bleaching were in the ranges of 0.13–0.8 ng TEQ kg −1 , and 0.15–1.9 pg TEQ L −1 , respectively, which were far lower than those with CEH process, indicating that the ECF process is an effective alternative bleaching technology to replace CEH in Chinese non-wood PMs to reduce dioxin release. The release factor via flue gas of the alkali recovery boiler in Chinese non-wood PMs was first reported to be 0.092 μg TEQ Ad t −1 in this study. On the assumption that pulp bleaching processes of all Chinese non-wood PMs were converted from CEH to ECF, the annual release of PCDD/Fs via the bleaching wastewater and bleached pulp would be reduced by 79.1%, with a total of 1.60 g TEQ.

This paper examines the vulnerability of households to disasters, using an asset vulnerability framework to represent livelihoods. Such frameworks are widely employed to analyse household poverty and focus on living conditions and well-being rather than money-metric measures of consumption and income. The conceptualisation of household vulnerability is a challenge in current studies on coping with disasters. The paper considers whether a capital assets framework is useful in identifying and assessing household vulnerability in the context of the Wenchuan earthquake in China in 2008. The framework has five categories of assets (financial, human, natural, physical, and social capital) and attempts to measure the resilience and vulnerability of households. When applied to a major disaster, asset-based methods face the problem of heterogeneity of the population, such as with regard to livelihood type or residence. Moreover, the effect of external interventions, such as the provision of relief assistance, must be taken into account.

The ink stone, brush, ink stick and paper, commonly termed the “Four Treasures of the Scholar’s Desk,” are the key components of the “scholar’s toolkit” with which scholars in ancient China conducted the administration of state affairs, private and official correspondence and the literary arts. Despite a wealth of interest in the origins of writing and substantial prior research on Chinese scholars as well as inscribed objects from the early dynasties, the ancestry of the Scholar’s Desk writing assemblage and its establishment as a standardized set has yet to be explored in depth from an archaeological perspective. The development of the writing assemblage from its origins to standardization as a complete set comprised of brush, ink, ink stick and paper, which took place from the Neolithic to the end of the Han dynasty (c. 7000 BC – AD 220), remains a gap in scholarship that needs to be addressed. The extent to which the early states and the scholars were involved in the development of the writing assemblage also requires examination. A broad pattern analysis with focus directed towards the overall trends in the frequency of occurrence of writing assemblage finds, in addition to evidence of changes in their use and co-occurrence in burial, is necessary in order to illustrate how the four components of the Scholar’s Desk assemblage came together and were established as a set through its use by the state and by the scholars. This research contends that the writing assemblage, which had an extensive ancestry and extended development process, was established as a standardized set both through the combined interests of the scholars and then of the state. Through the use of the assemblage by the scholars in the service of the state, the scholars and the writing assemblage became the “tools of state” that were essential for the running of Chinese society.

The total emission control target of water pollutants (e.g., COD and NH 4 –N) for a certain industrial sector can be predicted and analysed using the popular technology-based bottom-up modelling. However, this methodology has obvious uncertainty regarding the attainment of mitigation targets. The primary uncertainty comes from macro-production, pollutant reduction roadmap, and technical parameters. This research takes the paper and pulp industry in China as an example, and builds 5 mitigation scenarios via different combinations of raw material structure, scale structure, procedure mitigation technology, and end-of-pipe treatment technology. Using the methodology of uncertainty analysis via Monte Carlo, random sampling was conducted over a hundred thousand times. According to key parameters, sensitive parameters that impact total emission control targets such as industrial output, technique structure, cleaner production technology, and end-of-pipe treatment technology are discussed in this article. It appears that scenario uncertainty has a larger influence on COD emission than NH 4 –N, hence it is recommended that a looser total emission control target for COD is necessary to increase its feasibility and availability while maintaining the status quo of NH 4 –N. Consequently, from uncertainty analysis, this research recognizes the sensitive products, techniques, and technologies affecting industrial water pollution.

Burning of joss paper and incense is still a very common traditional custom in countries with a majority Chinese population. The Hungry Ghost Festival which is celebrated in the 7 month of the Chinese calendar is one of the events where joss paper and incense are burned as offerings. This study investigates the impact of the Ghost Month Festival (open burning event) on air quality by analysis of the chemical composition of particulate matter (PM) and rainwater samples collected during this event, compared with data collected throughout the year, as well as bottom ash samples from burning the original joss paper and incense. The results showed that the change in the chemical composition of the rainwater and PM2.5 (PM ≤ 2.5 μm) atmospheric samples could be correlated directly with burning events during this festival, with many elements increasing between 18% and 60% during August and September compared to the yearly mean concentrations. The order of percentage increase in elemental composition (in rain water and PM2.5) during the Hungry Ghost Festival is as follows: Zn > Ca > K > Mg > Fe > Al > Na ∼ Mn ∼ Ti ∼ V > Cu > As > Ni > Co > Cd > Cr > Pb. The chemical composition of the original source materials (joss paper and incense for combustion) and their associated bottom ash were analysed to explain the impact of burning on air quality. MOE (Min. of Education, S’pore) Published version

Perfluoroalkyl acids (PFAAs) are widely used as multi-purpose surfactants or water/oil repellents. In order to understand the contamination level and compositional profiles of PFAAs in aqueous environment in textile, leather, and paper making industrial areas, surface waters and tap waters were collected along the watershed of the Qiantang River where China's largest textile, leather, and paper making industrial bases are located. For comparison, surface water and tapwater samples were also collected in Hangzhou and its adjacent areas. 17 PFAAs were analyzed by solid phase extraction-high performance liquid chromatography-tandem mass spectrometry. The results show that the total concentrations of PFAAs (ΣPFAAs) in the Qiantang River waters ranged from 106.1 to 322.9 ng/L, averaging 164.2 ng/L. The contamination levels have been found to be extremely high, comparable to the levels of the most serious PFAA contamination in surface waters of China. The PFAA composition profiles were characterized by the dominant PFOA (average 58.1% of the total PFAAs), and PFHxA (average 18.8%). The ΣPFAAs in tap water ranged from 9.5 to 174.8 ng/L, showing PFAA compositional pattern similar to the surface waters. Good correlations between PFAA composition profiles in tap waters and the surface waters were observed.

Enzyme-aided Cl

It is important to implement detection and assessment of plant diseases based on remotely sensed data for disease monitoring and control. Hyperspectral data of healthy leaves, leaves in incubation period and leaves in diseased period of wheat stripe rust and wheat leaf rust were collected under in-field conditions using a black-paper-based measuring method developed in this study. After data preprocessing, the models to identify the diseases were built using distinguished partial least squares (DPLS) and support vector machine (SVM), and the disease severity inversion models of stripe rust and the disease severity inversion models of leaf rust were built using quantitative partial least squares (QPLS) and support vector regression (SVR). All the models were validated by using leave-one-out cross validation and external validation. The diseases could be discriminated using both distinguished partial least squares and support vector machine with the accuracies of more than 99%. For each wheat rust, disease severity levels were accurately retrieved using both the optimal QPLS models and the optimal SVR models with the coefficients of determination (R2) of more than 0.90 and the root mean square errors (RMSE) of less than 0.15. The results demonstrated that identification and severity evaluation of stripe rust and leaf rust at the leaf level could be implemented based on the hyperspectral data acquired using the developed method. A scientific basis was provided for implementing disease monitoring by using aerial and space remote sensing technologies.