Siqiang Zheng^1,#, Yu Lu^2,#, Xuetong Xu¹, Kai Sun¹, Lanzhu Zhang^1,*, Zhiqin Qian^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076059 - 09 April 2026

Abstract Pipelines play a crucial role in chemical industrial production. However, due to long operating cycles, seal failures, and internal corrosion, hazardous chemical media are prone to leak, potentially leading to serious accidents such as explosions. To address the limitations of existing pipeline leak detection methods—specifically their insufficient recognition accuracy and poor robustness in noisy environments—this paper proposes an Acoustic Emission (AE)-driven leakage state recognition method based on wavelet time-frequency maps and the Inception-V3 deep network. First, a pipeline leak experimental platform was constructed, and AE signals were collected. The signals were denoised through wavelet decomposition More >

Aditya Mairal^*, Todd Rossi, Michael Muller

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.075576 - 27 March 2026

Abstract An integral part of the effort to reduce greenhouse gas emissions is carbon footprint accounting. EPA categorizes facility carbon footprints in three scopes. Scope-2 emissions include electricity, heat or steam purchased from a utility provider. This paper evaluates the existing calculation methods for scope-2 CO₂ emissions for purchased electricity. The electricity grid in US is complex and is divided spatially into states, eGRID regions, balancing authorities (BAs), and utilities. Up to hourly temporal granularity can be obtained from available datasets. A matrix is developed that categorizes different datasets based on the complexity to calculate the carbon… More >

Yang Li¹, Xianfu Gong¹, Sifan Chen¹, Yi Lei^2,*, Donghui Zhang², Yue Xing²

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.072189 - 27 March 2026

Abstract This paper develops an innovative computational model for assessing the Carbon Emission Factor (CEF) of provincial power systems that incorporates inter-provincial electricity transfers and hybrid generation portfolios combining conventional and renewable sources. A key contribution lies in evaluating how deep regulation of thermal power plants influence the carbon intensity of coal-fired generation and coal-fired generation together with high penetration renewables. Furthermore, the study quantitatively analyzes the role of renewable energy consumption and the prospective application of Carbon Capture and Storage (CCS) in reducing system-wide CEF. Based on this framework, the paper proposes phased carbon emission… More > Graphic Abstract

Jonathon Carll^1,2,3,*, Jacinta Bonaddio¹, Dixon Woon^1,4,5, Marlon Perera^1,4,5,6, Nathan Lawrentschuk^2,3,5,6, Thilakavathi Chengodu^1,3

Canadian Journal of Urology, Vol.33, No.1, pp. 21-34, 2026, DOI:10.32604/cju.2025.068908 - 28 February 2026

Abstract Prostate-specific membrane antigen (PSMA) is a surface membrane antigen that is highly overexpressed in prostate cancer, with heterogenous expression throughout the natural history of the disease. This has generated significant interest as a potential biomarker for use in early diagnosis and treatment of prostate cancer. We reviewed the literature surrounding PSMA and its current clinical applications in diagnosing and managing early prostate cancer that is confined to the prostate and local lymph nodes. A search on PubMed, Medline, and Web of Science was performed using the following keywords: “PSMA”, “Prostate Specific Membrane Antigen”, “Prostate cancer”,… More >

Samar Taha Yousif^1,2, Firas Basim Ismail^1,3,*, Ammar Al-Bazi⁴, Alaa Abdulhady Jaber⁵, Sivadass Thiruchelvam¹

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.073955 - 27 February 2026

Abstract Thermal power plants are the main contributors to greenhouse gas emissions. The prediction of the emission supports the decision makers and environmental sustainability. The objective of this study is to enhance the accuracy of emission prediction models, supporting more effective real-time monitoring and enabling informed operational decisions that align with environmental compliance efforts. This paper presents a data-driven approach for the accurate prediction of gas emissions, specifically nitrogen oxides (NOx) and carbon monoxide (CO), in natural gas power plants using an optimized hybrid machine learning framework. The proposed model integrates a Feedforward Neural Network (FFNN)… More > Graphic Abstract

Hongyu Wang¹, Wenwu Cui¹, Kai Cui¹, Zixuan Meng^2,*, Bin Li², Wei Zhang¹, Wenwen Li¹

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069576 - 27 December 2025

Abstract To achieve low-carbon regulation of electric vehicle (EV) charging loads under the “dual carbon” goals, this paper proposes a coordinated scheduling strategy that integrates dynamic carbon factor prediction and multi-objective optimization. First, a dual-convolution enhanced improved Crossformer prediction model is constructed, which employs parallel 1 × 1 global and 3 × 3 local convolution modules (Integrated Convolution Block, ICB) for multi-scale feature extraction, combined with an Adaptive Spectral Block (ASB) to enhance time-series fluctuation modeling. Based on high-precision predictions, a carbon-electricity cost joint optimization model is further designed to balance economic, environmental, and grid-friendly objectives.… More > Graphic Abstract

John Hordines¹, Shirley Ge², Dima Raskolnikov¹, Alexander C. Small¹, Kara L. Watts^1,*

Canadian Journal of Urology, Vol.32, No.6, pp. 551-560, 2025, DOI:10.32604/cju.2025.065988 - 30 December 2025

Abstract Background: The healthcare industry contributes nearly 5% of worldwide carbon emissions. In an effort to mitigate this impact, urology practices can take steps to reduce their carbon footprints. We conducted a systematic review which aimed to summarise the current literature on the environmental impact of urologic-related care. Methods: A systematic literature review evaluating the impact of urologic procedures, telehealth and conferences/interviews was conducted on PubMed and Cochrane databases using a Boolean search strategy and the following search terms: urology, planetary health, environmental impact, carbon emissions, carbon footprint, and waste. Full-text articles published in English were… More >

Guang Chen¹, Shiwang Dang¹, Fanpeng Kong², Lingchong Hu¹, Zhiming Zhang¹, Yi Guo³, Xue Pei¹, Jichao Li^1,4,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2721-2740, 2025, DOI:10.32604/fdmp.2025.068889 - 01 December 2025

Abstract To enhance the navigation efficiency of inland new-energy ships and reduce energy consumption and emissions, this study investigates wind load coefficients under 13 conditions, combining a wind speed of 2.0 m/s with wind direction angles ranging from 0° to 180° in 15° increments. Using Computational Fluid Dynamics (CFD) simulations, the wind load is decomposed into along-course (C_X) and transverse (C_Y) components, and their variation with wind direction is systematically analyzed. Results show that C_X is maximal under headwind (0°), decreases approximately following a cosine trend, and reaches its most negative value under tailwind (180°). C_Y peaks at More >

Hao Yue¹, Di Gao², Jin Gao¹, Chengmei Wei¹, Jiali Duan³, Shaocheng Mei^3,*

Energy Engineering, Vol.122, No.12, pp. 5091-5109, 2025, DOI:10.32604/ee.2025.069140 - 27 November 2025

Abstract Against the backdrop of regional coordinated development and China’s “dual carbon” strategic objectives, the Beijing-Tianjin-Hebei (BTH) region faces an urgent need to transition from its traditional economic growth model, which is heavily reliant on resource consumption. This study investigates the decoupling dynamics among economic growth, energy consumption, and carbon emissions in the BTH region, along with the underlying driving forces, aiming to provide valuable insights for achieving the “dual carbon” targets and fostering high-quality regional development. First, the Tapio decoupling model is employed to analyze the decoupling relationships between economic growth, energy consumption, and carbon… More >

Yukun Yang^*, Jun He, Wenfeng Chen, Zhi Li, Kun Chen

Energy Engineering, Vol.122, No.11, pp. 4653-4678, 2025, DOI:10.32604/ee.2025.068199 - 27 October 2025

Abstract To address the issues of unclear carbon responsibility attribution, insufficient renewable energy absorption, and simplistic carbon trading mechanisms in integrated energy systems, this paper proposes an electric-heat-hydrogen integrated energy system (EHH-IES) optimal scheduling model considering carbon emission stream (CES) and wind-solar accommodation. First, the CES theory is introduced to quantify the carbon emission intensity of each energy conversion device and transmission branch by defining carbon emission rate, branch carbon intensity, and node carbon potential, realizing accurate tracking of carbon flow in the process of multi-energy coupling. Second, a stepped carbon pricing mechanism is established to… More >