This paper examines the effects of China's foreign direct investment (FDI) on the carbon emissions of its domestic economy and the Belt and Road countries (BRCs). Total inward FDI into China as a host country shows a pollution reducing effect in the western and eastern regions while that in the central region remains unchanged. But China's outward FDI particularly from its eastern region reduces pollution in China. This suggests that China could be exporting carbon emissions via its FDI in the BRCs. The effects on BRCs' pollution from China's FDI is however different depending on the country's level of development. China's FDI was found to have no effect on high and upper middle income BRCs; a decreasing effect on low income BRCs; and an increasing effect on lower middle income BRCs. Evidence shows that China needs to consider a mix of policies to manage its inward and outward FDI to ensure its move to a low carbon economy benefits its own regional development and the BRCs by not contributing to increased carbon emissions.In the context of tremendously promoting bioenergy utilization, regional suitability for industrial development of biomass power generation is a critical factor when deploying region-specific strategies. An integrated framework is developed incorporating resource potential, development demands and development conditions to evaluate the suitability for regional industrial development of power generation utilizing agricultural bioresources. Twelve indicators reflecting local resource, environmental and socioeconomic features are used to measure the suitability of 31 provincial regions in China. An improved matter-element extension model combined with the entropy weight method is adopted to attain holistic and hierarchical suitability ranks. https://www.selleckchem.com/products/climbazole.html The results reveal that the distribution of holistic suitability ranks among regions is imbalanced with the eastern regions presenting more advantages compared with the western regions. Three regions belonging to Rank I (optimum) are Henan, Shandong and Xinjiang. Hainan, Tibet, Qinghai are classified into Rank V (unsuited). Moreover, there are great differences in the limiting factors of the suitability among regions. Resource potential is a limiting factor for Beijing, Shanghai, Fujian, Hainan and Guizhou; Development demands refrain Fujian, Guangxi and Yunnan; Tianjin and Ningxia are limited by development conditions. Tibet and Qinghai have the worst performance on each criterion. The results and region-targeted policy recommendations can provide insights for bioenergy utilization development in accordance with local conditions closely.Weighting scheme definition represents an important step in assessment of adaptive capacity to climate change with indicator approach since it defines the trade-offs among indicators or components and can be source of uncertainty. This study aims to assess smallholder farmers' adaptive capacity to climate change by using a mixed weighting scheme that reflect farmers' perceived importance of adaptive capacity components to inform policy makers. To achieve that objective, the sustainable livelihood framework was adopted and indicator approach was used for the assessment. The mixed weighting scheme were defined by using both equal weights and experts judgement methods during the assessment process. The mixed weighting scheme index is compared to the case where equal weights are applied in the assessment process and an uncertainty analysis was performed on relative standard deviation through a Monte Carlo simulation. Primary Data were collected from 450 farmers in two communities in northern Benin with a structured questionnaire and through focus groups discussion. The results show that smallholder farmers in both communities do not have the same perceived importance of adaptive capacity components. The index scores show that farmers have in majority low adaptive capacity. When weighted product aggregation method is used, there is more uncertainty related to the index computed with the mixed weighting scheme, but it leads to the same characterisation when compared with the index computed with the equal weights. It is recommended that mixed weighting scheme should be preferred for the assessment of adaptive capacity and weighted product aggregation method should be used.Huntington's disease (HD) is a neurodegenerative disease characterized by prominent loss of neurons in the striatum and cortex. Traditionally research in HD has focused on brain changes as they cause progressive motor dysfunction, cognitive decline and psychiatric disorders. The discovery that huntingtin protein (HTT) and its mutated form (mHTT) are expressed not only in the brain but also in different organs and tissues paved the way for the hypothesis that HD might affect regions beyond the central nervous system (CNS). Besides pathological deposition of mHTT, other mechanisms, including inflammation, seem to underlie HD pathogenesis and progression. Altered inflammation can be evidenced even before the onset of classical symptoms of HD. Herein, we will discuss current pre-clinical and clinical evidence on immune/inflammatory changes in peripheral organs during HD development and progression. The understanding of the impact of inflammation on peripheral organs may open new venues for the development of novel therapeutic targets in HD.Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system (CNS) commonly complicated by cognitive impairment. Unfortunately, no medical therapy has been proved to improve cognitive problems in these patients. This meta-analysis investigated the effectiveness of different categories of drugs on the minimal assessment of cognitive function in MS (MACFIMS)-related tasks outcome in MS patients. To this end, a systematic evaluation was conducted using PubMed, Google Scholar, and Scopus databases. Among a total of 128 publications, 31 studies met our inclusion criteria, and 22 included in the meta-analysis. We found that symbol digit modalities test (SDMT), paced auditory serial addition test (PASAT), controlled oral word association test (COWAT), and California verbal learning test (CVLT) were the most frequently reported tasks in included studies. The frequently reported drugs were classified into five main groups of acetylcholine esterase inhibitors, CNS stimulants, fampridine, herbal remedies, and miscellaneous.