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Article
Optimal coordination contracts for manufacturer and streamer joint emission reduction and low-carbon publicity in a live-streaming supply chain
Publicizing manufacturers' emission reduction through a reputable streamer is a novel cooperation model among members of a live-streaming supply chain. The streamer offers three alternative incentive schemes t...
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Article
Comparisons of heavy metals levels in water, sediment and crayfish under rice-crayfish co-culture and pond culture modes with correlation analysis and health risk assessment
With rapid development of the rice-crayfish industry chain and the continuous innovation of crayfish breeding mode, people are increasingly concerned about the heavy metal contents in crayfish rich communities...
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Article
A grayscale image enhancement algorithm based on dense residual and attention mechanism
Deep learning shows great potential in low-light image enhancement, which can improve image brightness and contrast while kee** image natural. However, due to the lack of prior knowledge extracted manually o...
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Article
Developmental regulation of conserved non-coding element evolution provides insights into limb loss in squamates
Limb loss shows recurrent phenotypic evolution across squamate lineages. Here, based on three de novo-assembled genomes of limbless lizards from different lineages, we showed that divergence of conserved non-codi...
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Article
Evaluation of the Effect of Different Cooking Methods on the Heavy Metal Levels in Crayfish Muscle
The current study investigated the effects of various cooking styles (boiling, frying, and steaming) and seasoning methods (home cooking and ready-to-eat commodity) on levels of nine heavy metals in the crayfi...
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Article
Immobilization of chromium ore processing residue by alkali-activated composite binders and leaching characteristics
Chromium ore processing residue (COPR) is classified as hazardous solid waste because of the leachable Cr(VI). Cementitious materials are often used to solidify and stabilize heavy metals. However, most of the...
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Article
Open AccessGenetic map** and molecular mechanism behind color variation in the Asian vine snake
Reptiles exhibit a wide variety of skin colors, which serve essential roles in survival and reproduction. However, the molecular basis of these conspicuous colors remains unresolved.
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Chapter and Conference Paper
Research on Multi-target Recognition and Classification Strategy Based on Yolo v5 Framework
With the ever-increasing social labor cost and automation level, the research on the recognition and automatic classification and sorting of multi-target objects has important practical significance. To this e...
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Chapter and Conference Paper
Enabling Efficient Emulation of Internet-of-Vehicles on a Single Machine: Practices and Lessons
The rise of Intelligent Vehicles and next-generation networks accelerates the advent of Internet-of-Vehicles (IoV), where each vehicle acts as a node and interconnects with other nodes for data sharing and pro...
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Chapter and Conference Paper
FIGCONs: Exploiting FIne-Grained CONstructs of Facial Expressions for Efficient and Accurate Estimation of In-Vehicle Drivers’ Statistics
Recent advances in-vehicle monitoring of drivers’ statistics attempt to leverage Machine-Learning (ML)-based techniques for prediction, credited to its high accuracy and less cost for deploying redundant senso...
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Chapter and Conference Paper
Characterizing and Optimizing Differentially-Private Techniques for High-Utility, Privacy-Preserving Internet-of-Vehicles
Recent developments of advanced Human-Vehicle Interactions rely on Internet-of-Vehicles (IoV), to achieve large-scale communications and synchronizations of data in practice. IoV is highly similar to a distribute...
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Chapter and Conference Paper
BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs
Emerging Autonomous Vehicles (AV) breed great potential to exploit data-driven techniques for adaptive and personalized Human-Vehicle Interactions. However, the lack of high-quality and rich data supports limi...
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Chapter and Conference Paper
Omniverse-OpenDS: Enabling Agile Developments for Complex Driving Scenarios via Reconfigurable Abstractions
We present Omniverse, a set of configurable abstractions for efficient developments of complex driving events during simulated driving scenarios. The goal of Omniverse is to identify the inefficiency of existing ...
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Chapter and Conference Paper
Oneiros-OpenDS: An Interactive and Extensible Toolkit for Agile and Automated Developments of Complicated Driving Scenes
We present Oneiros, an interactive toolkit for agile and automated designs and developments of driving scenes for OpenDS driving simulator. Oneiros is the first response to address and tackle the key challenge of...
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Chapter and Conference Paper
Face2Statistics: User-Friendly, Low-Cost and Effective Alternative to In-vehicle Sensors/Monitors for Drivers
We present Face2Statistics, a comprehensive roadmap to deliver user-friendly, low-cost and effective alternatives for extracting drivers’ statistics. Face2Statistics is motivated by the growing importance of mult...
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Chapter and Conference Paper
Demystifying Interactions Between Driving Behaviors and Styles Through Self-clustering Algorithms
We argue that driving styles demand adaptive classifications, and such mechanisms are essential for adaptive and personalized Human-Vehicle Interaction systems. To this end, we conduct an in-depth study to dem...
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Article
Open AccessExploring Personalised Autonomous Vehicles to Influence User Trust
Trust is a major determinant of acceptance of an autonomous vehicle (AV), and a lack of appropriate trust could prevent drivers and society in general from taking advantage of such technology. This paper makes...
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Article
Synthesis of a small molecular polydentate polymer IHP-MP and its application to cement or graphene oxide dispersion via strong interactions between adsorption groups and interfaces
The presence of a highly alkaline environment or large amounts of Ca2+ in concrete exerts a great influence on the dispersion of graphene oxide (GO) particles. Therefore, the development of a highly efficient GO ...
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Chapter and Conference Paper
Early Findings from a Large-Scale User Study of CHESTNUT: Validations and Implications
Towards a serendipitous recommender system with user-centred understanding, we have built CHESTNUT, an Information Theory-based Movie Recommender System, which introduced a more comprehensive understanding of th...
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Chapter and Conference Paper
CHESTNUT: Improve Serendipity in Movie Recommendation by an Information Theory-Based Collaborative Filtering Approach
The term “serendipity” has been understood narrowly in the Recommender System. Applying a user-centered approach, user-friendly serendipitous recommender systems are expected to be developed based on a good u...
