EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism

Exploiting hand-crafted lexicon knowledge to enhance emotional or sentimental features at word-level has become a widely adopted method in emotion-relevant classification studies. However, few attempts have been made to explore the emotion construction in the classification task, which provides insights to how a sentence’s emotion is constructed. The major challenge of exploring emotion construction is that the current studies assume the dataset labels as relatively independent emotions, which overlooks the connections among different emotions. This work aims to understand the coarse-grained emotion construction and their dependency by incorporating fine-grained emotions from domain knowledge. Incorporating domain knowledge and dimensional sentiment lexicons, our previous work proposes a novel method named EmoChannel to capture the intensity variation of a particular emotion in time series. We utilize the resultant knowledge of 151 available fine-grained emotions to comprise the representation of sentence-level emotion construction. Furthermore, this work explicitly employs a self-attention module to extract the dependency relationship within all emotions and propose EmoChannel-SA Network to enhance emotion classification performance. We conducted experiments to demonstrate that the proposed method produces competitive performances against the state-of-the-art baselines on both multi-class datasets and sentiment analysis datasets

Contents of Organochlorine Pesticides in Water , Pore Water and Sediment in Minjiang River Estuary of China

[摘要]：利用GC2ECD 和GC2MSD 对1999 年11 月闽江口水、间隙水和沉积物中的有机氯农药进行了研究. 结果显 示,闽江口水中有机氯农药的含量范围是01532～1182μg/ L ,间隙水中有机氯农药的含量为4154～1317μg/ L ,沉 积物(干重,以下讨论到的沉积物,无特别说明都是干重表示) :28179～52107μg/ kg ;与其他河口如珠江口、九龙江 口相比,闽江口的污染水平居中. 间隙水的污染物浓度普遍高于其上覆水的浓度,而沉积物中的浓度大于间隙水、 表层水,是由于有机污染物在水体中倾向于吸附在沉积物颗粒,并且通过再悬浮从底层向上迁移. 对水体中有机 氯农药各组分的含量及特征进行了分析,发现有机氯农药的主成分为:β2HCH ,DDE ,Heptachlor (七氯) ,Endosulfan Ⅱ(硫丹) ,Methoxychlor (甲氧滴涕) . DDE、β2HCH、Endosulfan Ⅱ分别占DDTs、HCHs 和硫丹的主要部分;有机氯 农药各组分间有正相关性,表明其河口有机氯农药陆源的土壤输入与相似的环境行为;对该河口的污染水平进行 了初步的评价,HCHs 符合国家海水水质一级标准,DDTs 则超过该标准.[Abstract]:The concentrations of 18 organochlorine pesticedes in water , pore water and surface sediment from Minjiang River Estuary were analyzed by GC2ECD , and confirmed by GC2MSD. The range of organochlorine pesticides was 01532～1182μg/ L at water , 4154～1317μg/ L at pore water , and 28179～52107μg/ kg at sediment . Compared with the results of other estuaries and gulfs (Pearl River Estuary , Jiulong River Estuary and so on) , it showed that the pollu2 tion of organochlorines in Minjiang was some moderate. The concentration difference in surface water , middle water , bottom water , pore water and sediment , due to the higher affinity of these hydrophobic compound for sedimentary phase than to water and a potential flux of pollutants from sediment to overlying water. The predominance ofβ2HCH ,DDE , Heptachlor , Endosulfan Ⅱand Methoxychlor in all water , pore water and sediment were clearly observed. On average , DDE、β2HCH、Endosulfan Ⅱoccupied the most part of total DDTs , HCHs and Endosulfans respectively , indicated the fate of these parent compounds or congeners. At the same time , it was found that thepositive relationship among the in2 dividual organochlorine components (HCHs , DDTs and Endosulfans) , which indicated that the similar of the source and behavior for organochlorine pesticides.海洋环境科学教育部重点实验室开放基金与教育 部重点基金联合资

An Improved Adaptive Received Beamforming for Nested Frequency Offset and Nested Array FDA-MIMO Radar

For the conventional FDA-MIMO (frequency diversity array multiple-input-multiple-output) Radar with uniform frequency offset and uniform linear array, the DOFs (degrees of freedom) of the adaptive beamformer are limited by the number of elements. A better performance—for example, a better suppression for strong interferences and a more desirable trade-off between the main lobe and side lobe—can be achieved with a greater number of DOFs. In order to obtain larger DOFs, this paper researches the signal model of the FDA-MIMO Radar with nested frequency offset and nested array, then proposes an improved adaptive beamforming method that uses the augmented matrix instead of the covariance matrix to calculate the optimum weight vectors and can be used to improve the output performances of FDA-MIMO Radar with the same element number or reduce the element number while maintain the approximate output performances such as the received beampattern, the main lobe width, side lobe depths and the output SINR (signal-to-interference-noise ratio). The effectiveness of the proposed scheme is verified by simulations

Urban Land-Use Type Influences Summertime Water Quality in Small- and Medium-Sized Urban Rivers: A Case Study in Shanghai, China

(1) Background: Small- and medium-sized rivers in urban areas are unique environments that serve as blue-green corridors for urban residents. The relationship between land-use types and water quality in these rivers provides important information for effectively addressing urban river restoration and pollution management. However, not much attention has been paid on these small- and medium-sized rivers, especially in large urban agglomerations with dense river networks. (2) Methods: This study undertook a field investigation on 130 sampling small- and medium-sized rivers during the late summer and applied data-driven water quality index and landscape analysis techniques to evaluate the direct impacts of riparian land-use types on the summertime water quality in Shanghai’s small- and medium-sized rivers. Riparian land-use types were derived from OpenStreetMap (OSM) datasets, including industrial, commercial, residential, and green spaces. (3) Results: Residential and green space are located closer to these sampled rivers than industrial and commercial land types, suggesting a tentative link between anthropogenic activities and water quality. Further analysis concluded that urban resident settlements, characterized by specific land-use types, DMSP-OLS nighttime lights, OSM road density, and OSM river density, strongly affected the water quality at the sub-catchment scale. We further determined the critical radii for impacts of land use types on urban rivers. Industrial types may influence water quality within a maximum radius of 5 km, followed by green space (4 km), residential areas (3 km), and commercial developments (2 km). These mathematically and statistically computed radii provide updated visions for river health assessment. For a specific land-use type, the assessed water quality index will be biased by using an assessment area with a radius higher or lower than the above-estimated radii. The study also quantified the spatial extent and transmission efficiency of non-point source pollution in a super built-up area of central Shanghai. We observed that contaminants transported by river pathways can reach a larger area than those transported by roads. (4) Conclusions: The high-quality environments in small- and medium-sized rivers are tightly linked to riparian landscape patterns. It is therefore urgent to control domestic pollutions as part of the restoration of megacity’s urban rivers and grapple with the complex challenges of risks to water supply. This study elaborates the importance of integrating land-use planning and water-quality management to maintain the functions and services of small- and medium-sized urban rivers

Transportation Carbon Emissions from a Perspective of Sustainable Development in Major Cities of Yangtze River Delta, China

Since the late 1990s, the Yangtze River Delta (YRD) has experienced profound growth in economic scales and urban size. However, it is still unclear how much energy is consumed from both fossil fuel and electricity usage for transportation sectors (TCO2). We take 10 sampled cities in the YRD as examples and examine their city-level sustainable levels from 1990 to 2018. Then, we observed that SHSN (Shanghai, Suzhou, Nanjing) are in leading positions, followed by WCN (Wuxi, Changzhou, Ningbo) and NXH (Nantong, Xuzhou, Hefei). We found that the cumulative TCO2 in SHSN from 1990 to 2018 is the highest among groups, which is mainly due to the earlier industrialization in history. In 2018, SHSN had the highest TCO2 (623.9 × 104 t), WCN was 311.9 × 104 t, and NXH was 166.4 × 104 t. TCO2 per capita in SHSN reached its minimal (≈0.12 t) in 2018 among 29 years, while WCN and NXH shared the same levels (≈0.07 t). This could be attributed to the dense population and a series of low carbon policies announced in SHSN and WCN. NXH is still in the stage of high demands on economic-centered development. The primary source for TCO2 in the YRD is fossil fuels. The TCO2 contributed by transportation electricity usage is continually increasing, especially after 2010. This phenomenon represents that electricity can be a significant part of the YRD’s transportation sectors’ energy consumption shortly. A complex estimation model uncovers the complexity between the economy, environment, and carbon emissions in the YRD, which indicated that the decrease of TCO2 in YRD could not be regulated solely by economic or environmental interventions. This study highlighted the urgency for socio-economic adjustments from carbonized to decarbonized structures in the YRD