Results 111 to 120 of about 974 (205)

Explainable machine learning-based prediction of fuel consumption in ship main engines using operational data [PDF]

A significant percentage of fuel consumption and emissions from transportation activities is related to maritime transportation. Hence, accurate prediction models for fuel consumption are quite important. Machine learning offers a data-driven approach to
Hoang, Anh Tuan, Truong, Thanh Hai, Bui, Van Hung, Nguyen, Xuan Phuong, Nguyen, Quang Chien, Chung, Nghia, Bui, Thi Anh Em   +6 more
core   +1 more source

Pesticide Supply Chains From China to Australia: Examining Paraquat Amid the Global Pesticide Complex

Journal of Agrarian Change, EarlyView.
ABSTRACT Following recent calls to deepen understanding of the Global Pesticide Complex, this article delves into the China‐to‐Australia supply chain of a single herbicide—paraquat. First released in the United Kingdom in the 1960s, acutely toxic paraquat is now primarily produced in China.
Sarah Rogers, Yue Zhao, Sonia Graham, Brooke Wilmsen, Ju‐Han Zoe Wang   +4 more
wiley   +1 more source

Auto Machine Learning for predicting Ship Fuel Consumption [Elektronisk resurs] [PDF]

, 2018
In recent years, machine learning has evolved in a fast pace as both algorithms and computing power are constantly improving. In this study, a machine learning model for predicting the fuel oil consumption from engine data has been developed for a cruise
Thern, Marcus,, Ahlgren, Fredrik,
core  

Study on energy management of dual-diesel generator sets hybrid power ships based on model predictive control

Zhongguo Jianchuan Yanjiu
ObjectivesThe marine diesel-electric hybrid system reasonably distributes the output power of the diesel engine and motor, which can significantly reduce fuel consumption and emissions. Aiming at the contradiction between the optimal performance and real-
Yinzheng ZHOU, Li CHEN
doaj   +1 more source

Climate Change, Demand Uncertainty, and Firms' Investments: Evidence from Planned Power Plants

The Journal of Finance, EarlyView.
ABSTRACT How does demand uncertainty affect firms' investment decisions? We examine this question in the context of electricity‐producing firms' planned investments in new power plants. We measure uncertainty about future electricity demand using plausibly exogenous variation in temperature projections across scientific climate models. The results show
CHEN LIN, THOMAS SCHMID, MICHAEL S. WEISBACH   +2 more
wiley   +1 more source

Asymmetric Pass‐Through and Competition

The Journal of Industrial Economics, EarlyView.
ABSTRACT We study the retail price pass‐through of four major tax changes in petroleum products using daily pricing data from gas stations on small Greek islands. We find that (i) the pass‐through of the tax hikes is five times higher than for the tax decrease, (ii) the pass‐through of the tax hikes increases with competition, while that of the tax ...
Christos Genakos, Yuan Lyu, Mario Pagliero   +2 more
wiley   +1 more source

Estimating National and Foreign Trade Elasticities Using Generalized Transport Costs

Journal of Regional Science, Volume 65, Issue 2, Page 471-496, March 2025.
ABSTRACT We introduce the definition of two distinct trade elasticities corresponding to imports from regions located in the same country (national elasticities) and foreign regions located in other countries (foreign elasticities). We resort to a three‐tier nested CES utility structure to derive the corresponding demand gravity equations.
José L. Zofío, Jorge Díaz‐Lanchas, Damiaan Persyn, Javier Barbero   +3 more
wiley   +1 more source

The Impact of Autonomous Truck Technology on US Interstate Trade

Journal of Regional Science, EarlyView.
ABSTRACT Recent advances in autonomous and semi‐autonomous vehicle technologies promise substantial cost savings for goods shipped by truck. In this study, we quantify the impacts of these transport cost reductions on the US interstate trade using a structural gravity model of domestic trade. Based on projected cost savings from the widespread adoption
Taejun Mo, Sandy Dall'erba, William Ridley, Yilan Xu, Hyungsun Yim   +4 more
wiley   +1 more source

Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches

Polish Maritime Research
Rising shipping emissions greatly affect greenhouse gas (GHG) levels, so precise fuel consumption forecasting is essential to reduce environmental effects.
Pham Nguyen Dang Khoa, Dinh Gia Huy, Nguyen Canh Lam, Dang Hai Quoc, Pham Hoang Thai, Nguyen Quyen Tat, Tran Minh Cong   +6 more
doaj   +1 more source

Autoimmunity and Periodontitis

Journal of Periodontal Research, EarlyView.
In a microbe‐driven inflammatory environment, peptidyl‐arginine deiminase (PAD) enzymes from neutrophils and Porphyromonas gingivalis citrullinate both microbial and self‐antigens. B cell presentation of citrullinated or self‐mimicking epitopes activates T cells that assist B cells in antibody isotype switching, affinity maturation, epitope spreading ...
Massimo Costalonga, Vivek Thumbigere‐Math, Mark C. Herzberg   +2 more
wiley   +1 more source