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  • Open Access

    ARTICLE

    A Multi-Block Material Balance Framework for Connectivity Evaluation and Optimization of Water-Drive Gas Reservoirs

    Fankun Meng1,2,3, Yuyang Liu1,2,*, Xiaohua Liu4, Chenlong Duan1,2, Yuhui Zhou1,2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.1, 2026, DOI:10.32604/fdmp.2026.075865 - 06 February 2026

    Abstract Carbonate gas reservoirs are often characterized by strong heterogeneity, complex inter-well connectivity, extensive edge or bottom water, and unbalanced production, challenges that are also common in many heterogeneous gas reservoirs with intricate storage and flow behavior. To address these issues within a unified, data-driven framework, this study develops a multi-block material balance model that accounts for inter-block flow and aquifer influx, and is applicable to a wide range of reservoir types. The model incorporates inter-well and well-group conductive connectivity together with pseudo–steady-state aquifer support. The governing equations are solved using a Newton–Raphson scheme, while particle More > Graphic Abstract

    A Multi-Block Material Balance Framework for Connectivity Evaluation and Optimization of Water-Drive Gas Reservoirs

  • Open Access

    ARTICLE

    Social Value and Public Health: Exploring the Impact of Social Connection on the Community Mental Health

    Jimin Chae1, Youngbin Lym2,*, Geiguen Shin2,3,*

    International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.071482 - 28 January 2026

    Abstract Background: Social connection is widely recognized as a protective determinant of health, yet its direct and indirect effects on mental health remain underexplored. This study examines the relationship between social connection and mental health, focusing on the mediating role of quality of life (QoL) and the moderating effect of regional differences. Methods: We analyzed data from the 2019 Korean Community Health Survey, comprising 229,099 adults. Mental health was assessed through validated measures of depressive symptoms and psychological well-being. Social connection was measured using indicators of interpersonal ties and community participation, and QoL was assessed via self-reported… More >

  • Open Access

    ARTICLE

    Solar Photovoltaic System as a Sustainable Solution for Electric Load Shortage in Baghdad: A Design and Economic Study

    Fadhil M. Oleiwi1, Jaber O. Dahloos2, Amer Resen Kalash3, Hasanain A. Abdul Wahhab3, Miqdam T. Chaichan1,4,*

    Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.073313 - 27 January 2026

    Abstract In the present study, researchers examined a solar off-grid-connected photovoltaic system for a family house in the city of Baghdad. The design was created with the help of the “How to Design PV Program” and the “Renewable Energy Investment Calculator (REICAL)” software (Version 1.1). In Iraq, the national grid provides around 71% of the overall electricity demand, though this drops to nearly 50% during extremely hot and cold months, where the supply alternates between four hours on and four hours off. During the off periods, power is generated by local generators at high costs. To… More >

  • Open Access

    ARTICLE

    Adaptability Analysis of Dual Clearing Systems in Spot Electricity Markets Based on Fuzzy Evaluation Metrics: An Inner Mongolia Case Study

    Kai Xie1, Shaoqing Yuan2, Dayun Zou1, Jinran Wang1,*, Genjun Chen1, Ciwei Gao3, Yinghao Cao1

    Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070733 - 27 January 2026

    Abstract The construction of spot electricity markets plays a pivotal role in power system reforms, where market clearing systems profoundly influence market efficiency and security. Current clearing systems predominantly adopt a single-system architecture, with research focusing primarily on accelerating solution algorithms through techniques such as high-efficiency parallel solvers and staggered decomposition of mixed-integer programming models. Notably absent are systematic studies evaluating the adaptability of primary-backup clearing systems in contingency scenarios—a critical gap given redundant systems’ expanding applications in operational environments. This paper proposes a comprehensive evaluation framework for analyzing dual-system adaptability, demonstrated through an in-depth case… More >

  • Open Access

    ARTICLE

    Heating the Future: Solar Hot Water Collectors for Energy-Efficient Homes in Sweden

    Mehran Karimi1, Hesamodin Heidarigoujani1, Mehdi Jahangiri1,*, Milad Torabi Anaraki2, Daryosh Mohamadi Janaki3

    Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070190 - 27 January 2026

    Abstract The technical, economic, and environmental performance of solar hot-water (SWH) systems for Swedish residential apartments—where approximately 80% of household energy is devoted to space heating and sanitary hot-water production—was assessed. Two collector types, flat plate (FP) and evacuated tube (ET), were simulated in TSOL Pro 5.5 for five major cities (Stockholm, Göteborg, Malmö, Uppsala, Linköping). Climatic data and cold-water temperatures were sourced from Meteonorm 7.1, and economic parameters were derived from recent national statistics and literature. All calculations explicitly accounted for heat losses from collectors, storage tanks, and internal and external piping systems, and established… More >

  • Open Access

    ARTICLE

    Performance Evaluation of the Hybrid Heat Pump to Decarbonize the Buildings Sector: Energetic, Environmental and Economic Characterization

    Miriam Di Matteo*, Domiziana Vespasiano, Gianluigi Lo Basso, Costanza Vittoria Fiorini, Andrea Vallati

    Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.064353 - 27 January 2026

    Abstract Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient solutions must integrate both technological performance and renewable energy sources while considering operational constraints of existing systems. This study investigates a hybrid heating system combining a natural gas boiler (NGB) with an air-to-water heat pump (AWHP), evaluated through a combination of laboratory experiments and dynamic modelling. A prototype developed in the Electrical and Energy Engineering Laboratory enabled the characterization of both heat generators, the collection of experimental data, and the calibration of a MATLAB/Simulink model, including emissions and… More >

  • Open Access

    ARTICLE

    Evaluation of Strip-Processed Cotton Stalks as a Raw Material for Structural Panels

    Aadarsha Lamichhane1, Arun Kuttoor Vasudevan1, Ethan Dean1, Mostafa Mohammadabadi1,*, Kevin Ragon1, Ardeshir Adeli2

    Journal of Renewable Materials, Vol.14, No.1, 2026, DOI:10.32604/jrm.2025.02025-0146 - 23 January 2026

    Abstract This study explores a novel method for processing cotton stalks—an abundant agricultural byproduct—into long strips that serve as sustainable raw material for engineered bio-based panels. To evaluate the effect of raw material morphology on panel’s performance, two types of cotton stalk-based panels were developed: one using long strips, maintaining fiber continuity, and the other using ground particles, representing conventional processing. A wood strand-based panel made from commercial southern yellow pine strands served as the control. All panels were bonded using phenol-formaldehyde resin and hot-pressed to a target thickness of 12.7 mm and density of 640 kg/m3.… More >

  • Open Access

    ARTICLE

    Optimized Energy Storage Dispatch Strategy Considering Reliability and Economy

    Jiale Hu, Fan Chen*, Yue Yang, Man Wang

    Journal on Artificial Intelligence, Vol.8, pp. 51-64, 2026, DOI:10.32604/jai.2026.075257 - 22 January 2026

    Abstract To enhance the operational performance of energy storage systems (ESS), this paper proposes an optimal dispatch strategy that jointly considers reliability and economic efficiency. First, we formulate a cost-minimization model that includes ESS dispatch costs, wind and photovoltaic (PV) curtailment costs, and load loss costs, while explicitly enforcing power supply reliability constraints. Next, we develop a comprehensive evaluation indicator system that integrates reliability, economic performance, renewable-energy utilization, and ESS technical indicators, thereby addressing the limitations of single-indicator assessments. Finally, a case study using real data from a region in China shows that the proposed strategy More >

  • Open Access

    ARTICLE

    Prognostic Value of Circulating Tumor Cells and Cancer Associated Macrophage-Like Cells in Metastatic Non-Small Cell Lung Cancer Patients: A Retrospective Exploratory Analysis

    Marco Siringo1,2,#,*, Michela De Meo1,#, Alain Jonathan Gelibter3, Chiara Nicolazzo4,5,§, Paola Gazzaniga5,§

    Oncology Research, Vol.34, No.2, 2026, DOI:10.32604/or.2025.069832 - 19 January 2026

    Abstract Objectives: Although immune checkpoint inhibitors (ICIs) and targeted therapies have reshaped treatment non-small cell lung cancer (NSCLC) paradigms, prognosis remains poor for many patients due to delayed diagnosis and resistance mechanisms. Liquid biopsy offers a minimally invasive approach to monitoring tumor evolution. Among circulating biomarkers, circulating tumor cells (CTCs) and cancer-associated macrophage-like cells (CAM-Ls) may provide complementary prognostic insights. The study aimed to evaluate the prognostic role of CTC and CAM-Ls dynamic in metastatic NSCLC patients. Methods: We retrospectively analyzed 77 patients with metastatic NSCLC who underwent CTC and CAM-L evaluation via the CellSearch® system… More >

  • Open Access

    ARTICLE

    Two-Stage LightGBM Framework for Cost-Sensitive Prediction of Impending Failures of Component X in Scania Trucks

    Si-Woo Kim, Yong Soo Kim*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073492 - 12 January 2026

    Abstract Predictive maintenance (PdM) is vital for ensuring the reliability, safety, and cost efficiency of heavy-duty vehicle fleets. However, real-world sensor data are often highly imbalanced, noisy, and temporally irregular, posing significant challenges to model robustness and deployment. Using multivariate time-series data from Scania trucks, this study proposes a novel PdM framework that integrates efficient feature summarization with cost-sensitive hierarchical classification. First, the proposed last_k_summary method transforms recent operational records into compact statistical and trend-based descriptors while preserving missingness, allowing LightGBM to leverage its inherent split rules without ad-hoc imputation. Then, a two-stage LightGBM framework is developed… More >

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