A review on carbon emissions of global shipping

Carbon dioxide (CO2) emissions from shipping account for about 3% of total annual anthropogenic CO2 emissions and are assumed to increase markedly without mitigation measures. Following the introduction of the net-zero emissions target, the large uncertainties and challenges of a low-carbon transition in the shipping industry have raised concerns in the scientific community. This study presents a compressive review of CO2 emission inventories for the shipping industry, examines the historical CO2 emission trends and associated estimation uncertainties due to different methodologies, and further discusses the CO2 reduction measures and potential published in the literature. We aim to answer what has happened and what will happen in the shipping industry to identify potential challenges in realizing a roadmap to net-zero emissions. Here we show that there is a 20% variation in CO2 emissions reported by the reviewed inventories due to differences in estimation methodology and study scope, with top-down approaches (e.g., IEA) advancing the timeliness of emission estimation and bottom-up approaches (e.g., CAMS-GLOB-SHIP and EDGAR) facilitating the availability of geospatial information. The rebound in CO2 emissions by 2021 underscores the urgency of decoupling growth in seaborne trade from carbon emissions, and source and process control measures will provide most of the abatement potential, leaving the remaining abatement burden to be borne by carbon capture and out-of-industry transfers by 2050. However, secondary emissions, navigational safety, crew welfare, international cooperation, and economic and technical feasibility pose challenges to current low-carbon development. There remains a long way to go towards realizing the goal of the net-zero target, it requires the coordination and cooperation of all operators along the entire value chain of the shipping industry

A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation

Directing against the shortcoming of low accuracy in short-term traffic flow prediction caused by strong traffic flow fluctuation, a novel method for short-term traffic forecasting based on the combination of improved grey Verhulst prediction algorithm and first-order difference exponential smoothing is proposed. Firstly, we constructed an improved grey Verhulst prediction model by introducing the Markov chain to its traditional version. Then, based on an introduced dynamic weighting factor, the improved grey Verhulst prediction method, and the first-order difference exponential smoothing technique, the new method for short-term traffic forecasting is completed in an efficient way. Finally, experiment and analysis are carried out in the light of actual data gathered from strong fluctuation environment to verify the effectiveness and rationality of our proposed scheme

Optimal design of line level control resonant converters in plug‐in hybrid electric vehicle battery chargers

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163784/1/els2bf00015.pd

Voltage-independent SK-channel dysfunction causes neuronal hyperexcitability in the hippocampus of Fmr1 knock-out mice

Neuronal hyperexcitability is one of the major characteristics of fragile X syndrome (FXS), yet the molecular mechanisms of this critical dysfunction remain poorly understood. Here we report a major role of voltage-independent potassium (

HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History

Physical and digital objects often leave markers of our use. Website links turn purple after we visit them, for example, showing us information we have yet to explore. These “footprints” of interaction offer substantial benefits in information saturated environments - they enable us to easily revisit old information, systematically explore new information, and quickly resume tasks after interruption. While applying these design principles have been successful in HCI contexts, direct encodings of personal interaction history have received scarce attention in data visualization. One reason is that there is little guidance for integrating history into visualizations where many visual channels are already occupied by data. More importantly, there is not firm evidence that making users aware of their interaction history results in benefits with regards to exploration or insights. Following these observations, we propose HindSight - an umbrella term for the design space of representing interaction history directly in existing data visualizations. In this paper, we examine the value of HindSight principles by augmenting existing visualizations with visual indicators of user interaction history (e.g. How the Recession Shaped the Economy in 255 Charts, NYTimes). In controlled experiments of over 400 participants, we found that HindSight designs generally encouraged people to visit more data and recall different insights after interaction. The results of our experiments suggest that simple additions to visualizations can make users aware of their interaction history, and that these additions significantly impact users\u27 exploration and insights

HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History

Physical and digital objects often leave markers of our use. Website links turn purple after we visit them, for example, showing us information we have yet to explore. These “footprints” of interaction offer substantial benefits in information saturated environments - they enable us to easily revisit old information, systematically explore new information, and quickly resume tasks after interruption. While applying these design principles have been successful in HCI contexts, direct encodings of personal interaction history have received scarce attention in data visualization. One reason is that there is little guidance for integrating history into visualizations where many visual channels are already occupied by data. More importantly, there is not firm evidence that making users aware of their interaction history results in benefits with regards to exploration or insights. Following these observations, we propose HindSight - an umbrella term for the design space of representing interaction history directly in existing data visualizations. In this paper, we examine the value of HindSight principles by augmenting existing visualizations with visual indicators of user interaction history (e.g. How the Recession Shaped the Economy in 255 Charts, NYTimes). In controlled experiments of over 400 participants, we found that HindSight designs generally encouraged people to visit more data and recall different insights after interaction. The results of our experiments suggest that simple additions to visualizations can make users aware of their interaction history, and that these additions significantly impact users\u27 exploration and insights

Effects of a traditional Chinese medicine, Longdanxiegan formula granule, on Toll-like receptor pathway in female guinea pigs with recurrent genital herpes

AbstractObjectiveThe aim of the present study was to investigate the effects of Longdanxiegan formula granule (LDXGFG), a Chinese traditional medicine on Toll-like receptor (TLR) pathway in recurrent genital herpes.Materials and MethodsAn experimental recurrent genital herpes model was constructed using herpes guinea pig model. The effect of LDXGFG on expression levels of TLR pathway genes were detected using real-time polymerase chain reaction. Furthermore, the dendritic cells and Langerhans cells were isolated and the TLR pathway genes of these cells were assayed after LDXGFG treatment.ResultsThe result suggested two different expression patterns of TLR pathway genes in genital herpes and recurrent genital herpes, including upregulated genes and downregulated genes. TLR1, TLR4, TLR6, TLR7, TLR8, TLR9, and TLR10 showed a significant decrease while, TLR2, TLR3, and TLR5 increased in genital herpes and recurrent genital herpes guinea pigs. Meanwhile, the downregulated genes in genital herpes and recurrent genital herpes were stimulated by LDXGFG. By contrast, the upregulated genes decreased significantly after LDXGFG treatment. In both dendritic cells and Langerhans cells, the TLR pathway genes exhibited same pattern: the LDXGFG corrected the abnormal expression of TLR pathway genes.ConclusionThe present results suggest that LDXGFG is an alternative, inexpensive, and lasting-effect medicine for herpes simplex virus 2 infection

Lack of an association of miR-938 SNP in IDDM10 with human type 1 diabetes

MicroRNAs (miRNAs) are a newly discovered type of small non-protein coding RNA that function in the inhibition of effective mRNA translation, and may serve as susceptibility genes for various disease developments. The SNP rs12416605, located in human type 1 diabetes IDDM10 locus, changes the seeding sequence (UGU[G/A]CCC) of miRNA miR-938 and potentially alters miR-938 targets, including IL-16 and IL-17A. In an attempt to test whether miR-938 may be a susceptibility gene for IDDM10, we assessed the possible association of the miR-938 SNP with T1D in an American Caucasian cohort of 622 patients and 723 healthy controls by TaqMan assay. Our current data do not support the association between the SNP in miR-938 and type 1 diabetes

Tutorial : programmable integrated photonics

Programmable photonic circuits are optical chips whose functionality can be (re)configured through electronics and software. This programmability enables new functionality, and opens the path to general-purpose photonic chips, similar to electronic FPGAs. This tutorial discusses the operational principles and technology stack for these chips