A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles

Accurate state-of-health (SOH) estimation is critical to guarantee the safety, efficiency and reliability of battery-powered applications. Most SOH estimation methods focus on the 0-100\% full state-of-charge (SOC) range that has similar distributions. However, the batteries in real-world applications usually work in the partial SOC range under shallow-cycle conditions and follow different degradation profiles with no labeled data available, thus making SOH estimation challenging. To estimate shallow-cycle battery SOH, a novel unsupervised deep transfer learning method is proposed to bridge different domains using self-attention distillation module and multi-kernel maximum mean discrepancy technique. The proposed method automatically extracts domain-variant features from charge curves to transfer knowledge from the large-scale labeled full cycles to the unlabeled shallow cycles. The CALCE and SNL battery datasets are employed to verify the effectiveness of the proposed method to estimate the battery SOH for different SOC ranges, temperatures, and discharge rates. The proposed method achieves a root-mean-square error within 2\% and outperforms other transfer learning methods for different SOC ranges. When applied to batteries with different operating conditions and from different manufacturers, the proposed method still exhibits superior SOH estimation performance. The proposed method is the first attempt at accurately estimating battery SOH under shallow-cycle conditions without needing a full-cycle characteristic test

Assessment of coastal management options by means of multilayered ecosystem models

This paper presents a multilayered ecosystem modelling approach that combines the simulation of the biogeochemistry of a coastal ecosystem with the simulation of the main forcing functions, such as catchment loading and aquaculture activities. This approach was developed as a tool for sustainable management of coastal ecosystems. A key feature is to simulate management scenarios that account for changes in multiple uses and enable assessment of cumulative impacts of coastal activities. The model was applied to a coastal zone in China with large aquaculture production and multiple catchment uses, and where management efforts to improve water quality are under way. Development scenarios designed in conjunction with local managers and aquaculture producers include the reduction of fish cages and treatment of wastewater. Despite the reduction in nutrient loading simulated in three different scenarios, inorganic nutrient concentrations in the bay were predicted to exceed the thresholds for poor quality defined by Chinese seawater quality legislation. For all scenarios there is still a Moderate High to High nutrient loading from the catchment, so further reductions might be enacted, together with additional decreases in fish cage culture. The model predicts that overall, shellfish production decreases by 10%–28% using any of these development scenarios, principally because shellfish growth is being sustained by the substances to be reduced for improvement of water quality. The model outcomes indicate that this may be counteracted by zoning of shellfish aquaculture at the ecosystem level in order to optimize trade-offs between productivity and environmental effects. The present case study exemplifies the value of multilayered ecosystem modelling as a tool for Integrated Coastal Zone Management and for the adoption of ecosystem approaches for marine resource management. This modelling approach can be applied worldwide, and may be particularly useful for the application of coastal management regulation, for instance in the implementation of the European Marine Strategy Framework Directive

Synthesis of dominant plastic microfibre prevalence and pollution control feasibility in Chinese freshwater environments

Microplastic pollution of freshwaters is known to be a great concern in China and these pollutants can be discharged into the coastal environment through fluvial processes, posing threats to the global marine ecosystem. This paper reviewed the literature measuring microplastic pollution in the Chinese freshwater environment and found that microfibres dominate other plastic morphologies in more than 65% of samples collected in surface water, sediments and effluents of wastewater treatment plants and domestic sewers. Current potential sources of microfibre pollution are identified including fishery activities, laundry sewage, and waste textiles according to previous research. Recommendations are offered using the circular economy management framework, such as textile waste reuse and recycling systems in China, for improving current control measures for microplastics in freshwaters

Characteristics of reservoir-source rock and hydrocarbon accumulation model of tight sandstone gas reservoirs in the third Member of Xujiahe Formation in western Sichuan Depression

The tight gas reservoirs of the Xujiahe Formation in western Sichuan Depression have become an important field for expanding oil and gas exploration and discovering new reserves.The development characteristics of tight gas reservoirs and their accumulation mechanism have become one of the key scientific problems that need to be solved urgently. Applied geochemistry, geophysics and sedimentology analysis methods, systematic analysis of the source and reservoir characteristics and accumulation model of the Xu-3 Member was conducted, and the high-efficiency source rocks and high-quality reservoirs were identified and predicted. The accumulation period and accumulation mode were determined.The following conclusions were drawn: ①The lacustrine source rocks in the mature and highly mature stage of the Xu-3 Member in western Sichuan Depression are dominated by type Ⅲ kerogen, and occasionally type Ⅱ2 kerogen.It is developed as a high-efficiency source rock when it is developed near the largest lake flooding surface in the lower sub-segment of Xu-3, with shale content above 65% or a single layer with a large thickness and requiring 1.50% ≤ TOC ≤ 10%.②According to the median value of sandstone grain size, the 4th stage (S1, S2, S3 and S4) high-quality reservoirs were identified, which belonged to low-porosity and ultra-low-permeability-ultra-low-porosity and ultra-low-permeability tight reservoirs. Reservoir space is dominated by secondary pores, micropores and microfractures.Most developed in the front edge of the delta and a small amount developed in the front delta.The particle size distribution range is 0.5-0.062 5 mm, the thickness is generally 5-10 m.③The hydrocarbon generation and expulsion time of the Xu-3 Member source rock in western Sichuan Depression lasted longer, and the Middle Jurassic began to generate hydrocarbons until the end of the Early Cretaceous; the Late Jurassic began to expel hydrocarbons and reached a peak at the end of the Early Cretaceous.High-quality reservoirs experience early natural gas continuous charging and late condensate gas charging.The natural gas charging time is earlier than the condensate gas charging time.The accumulation mode of tight gas reservoirs in the Xu-3 Member is "vertical fault transmission, first gathering and then dense, and later transformation and adjustment"

Four Novel SNPs of MYO1A Gene Associated with Heat-Tolerance in Chinese Cattle

Based on the previous GWAS research related to bovine heat tolerance trait, this study aimed to explore the effect of myosin-1a (MYO1A) gene on bovine heat tolerance trait, and find the molecular markers related to the heat tolerance of Chinese cattle. In our study, four novel candidate SNPs highly conserved in B. indicus breeds but barely existed in B. taurus were identified in MYO1A gene according to Bovine Genome Variation Database and Selective Signatures (BGVD). PCR and DNA sequencing were used to genotype 1072 individuals including 34 Chinese indigenous cattle breeds as well as Angus and Indian zebu. Two synonymous mutations (rs208210464 and rs110123931), one missense mutation (rs209999142; Phe172Ser), and one intron mutation (rs135771836) were detected. The frequencies of mutant alleles of the four SNPs gradually increased from northern groups to southern groups of Chinese cattle, which was consistent with the distribution of various climatic conditions of China. Additionally, four SNPs were significantly associated with four climatic conditions including annual mean temperature (T), relative humidity (H), temperature-humidity index (THI), and average annual sunshine hours (100-cloudiness) (SR). Among these, rs209999142 and Hap 1/1 had better performance than others. Our results suggested that rs209999142 was associated with heat-tolerance trait and rs208210464, rs110123931, and rs135771836 showed high phenotypic effect on heat-tolerance trait because of the strong linkage with rs209999142. These SNPs could be used as candidates for marker-assisted selection (MAS) in cattle breeding