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  • Open Access

    ARTICLE

    Application of a Regional Data Set of the Housing Sector for Hydrogen Storage-Supported Energy System Planning

    Steffen Schedler1,*, Michael Bareev-Rudy1, Stefanie Meilinger2, Tanja Clees1,3

    Energy Engineering, Vol.122, No.5, pp. 1755-1770, 2025, DOI:10.32604/ee.2025.061962 - 25 April 2025

    Abstract Germany aims to achieve a national climate-neutral energy system by 2045. The residential sector still accounts for 29% of end energy consumption, with 74% attributed to the direct use of fossil fuels for heating and hot water. In order to reduce fossil energy use in the household sector, great efforts are being made to design new energy concepts that expand the use of renewable energies to supply electricity and heat. One possibility is to convert parts of the natural gas grid to a hydrogen-based gas grid to deliver and store energy for urban quarters of… More >

  • Open Access

    ARTICLE

    Retrofitting Design of a Deep Drilling Rig Mud Pump Load Balancing System

    Danijel Pavković*, Pietro Kristović, Mihael Cipek, Dragutin Lisjak

    Energy Engineering, Vol.122, No.5, pp. 1669-1696, 2025, DOI:10.32604/ee.2025.061916 - 25 April 2025

    Abstract In deep drilling applications, such as those for geothermal energy, there are many challenges, such as those related to efficient operation of the drilling fluid (mud) pumping system. Legacy drilling rigs often use paired, parallel-connected independent-excitation direct-current (DC) motors for mud pumps, that are supplied by a single power converter. This configuration results in electrical power imbalance, thus reducing its efficiency. This paper investigates this power imbalance issue in such legacy DC mud pump drive systems and offers an innovative solution in the form of a closed-loop control system for electrical load balancing. The paper… More > Graphic Abstract

    Retrofitting Design of a Deep Drilling Rig Mud Pump Load Balancing System

  • Open Access

    ARTICLE

    Optimization Configuration Analysis of Wind-Solar-Storage System Based on HOMER

    Daixuan Zhou1, Zhichao Wang1, Kaile Xi2, Chong Zuo3, Yan Jia2,*

    Energy Engineering, Vol.122, No.5, pp. 2119-2153, 2025, DOI:10.32604/ee.2025.061712 - 25 April 2025

    Abstract HOMER (Hybrid Optimization Model for Electric Renewables) is an effective simulation and optimization platform for hybrid renewable energy. By inputting specific users’ energy resource data (such as wind speed, solar radiation, etc.) and load data, and by determining the types and models of components selected by the user, HOMER calculates and simulates the operational status of each component at every time step. Ultimately, it computes the energy balance of the system within specified constraints to simulate the overall system operation. This approach enables the reasonable determination of system component capacities, the evaluation of system feasibility,… More > Graphic Abstract

    Optimization Configuration Analysis of Wind-Solar-Storage System Based on HOMER

  • Open Access

    REVIEW

    Promising roles of vitamin D receptor and APRO family proteins for the development of cancer stem cells targeted malignant tumor therapy

    MOEKA NAKASHIMA, NAOKO SUGA, AKARI FUKUMOTO, SAYURI YOSHIKAWA, SATORU MATSUDA*

    Oncology Research, Vol.33, No.5, pp. 1007-1017, 2025, DOI:10.32604/or.2025.059657 - 18 April 2025

    Abstract Malignant tumors are heterogeneous diseases characterized by uncontrolled cell proliferation, invasion, metastasis, and/or recurrence of their malignancies. In particular, cancer stem cells (CSCs) within these tumors might be responsible for the property of invasiveness and/or therapies-resistance. CSCs are a self-renewing, awfully tumorigenic subpopulation of cancer cells, which are notorious for strong chemoresistance and are frequently responsible the aggravated invasion, metastasis, and/or recurrence. Developing targeting therapies against CSCs, therefore, may be deliberated a more encouraging mission for the greater cancer therapy. Innovation for a more potent anti-CSC treatment has been required as soon as possible.… More > Graphic Abstract

    Promising roles of vitamin D receptor and APRO family proteins for the development of cancer stem cells targeted malignant tumor therapy

  • Open Access

    ARTICLE

    The synergistic antitumor effect of Karanahan technology and in situ vaccination using anti-OX40 antibodies

    VERA RUZANOVA1, ANASTASIA PROSKURINA1, GENRIKH RITTER1, EVGENIYA DOLGOVA1, SOFYA OSHIKHMINA1,2, SVETLANA KIRIKOVICH1, EVGENIY LEVITES1, YAROSLAV EFREMOV2,3, OLEG TARANOV4, ALEXANDR OSTANIN5, ELENA CHERNYKH5, NIKOLAY KOLCHANOV6, SERGEY BOGACHEV1,*

    Oncology Research, Vol.33, No.5, pp. 1229-1248, 2025, DOI:10.32604/or.2025.059411 - 18 April 2025

    Abstract Objectives: Currently, there exist two approaches to the treatment of malignant neoplasms: the Karanahan technology and in situ vaccination, which are based on chronometric delivery of therapeutic agents to the tumor depending on the characteristics of tumor cells, as well as the immune status. The main purpose of this study was to experimentally prove the feasibility of combining the Karanahan technology and in situ vaccination with αOX40 antibodies into a single therapeutic platform to achieve a potent additive antitumor therapeutic effect. Methods: BALB/c mice grafted with B-cellular lymphoma A20 were treated using the Karanahan technology consisting of… More >

  • Open Access

    ARTICLE

    Machine Learning for Smart Soil Monitoring

    Khaoula Ben Abdellafou1, Kamel Zidi2, Ahamed Aljuhani1, Okba Taouali1,*, Mohamed Faouzi Harkat3

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3007-3023, 2025, DOI:10.32604/cmc.2025.063146 - 16 April 2025

    Abstract Environmental protection requires identifying, investigating, and raising awareness about safeguarding nature from the harmful effects of both anthropogenic and natural events. This process of environmental protection is essential for maintaining human well-being. In this context, it is critical to monitor and safeguard the personal environment, which includes maintaining a healthy diet and ensuring plant safety. Living in a balanced environment and ensuring the safety of plants for green spaces and a healthy diet require controlling the nature and quality of the soil in our environment. To ensure soil quality, it is imperative to monitor and… More >

  • Open Access

    ARTICLE

    Integrating Edge Intelligence with Blockchain-Driven Secured IoT Healthcare Optimization Model

    Khulud Salem Alshudukhi1, Mamoona Humayun2,*, Ghadah Naif Alwakid1

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1973-1986, 2025, DOI:10.32604/cmc.2025.063077 - 16 April 2025

    Abstract The Internet of Things (IoT) and edge computing have substantially contributed to the development and growth of smart cities. It handled time-constrained services and mobile devices to capture the observing environment for surveillance applications. These systems are composed of wireless cameras, digital devices, and tiny sensors to facilitate the operations of crucial healthcare services. Recently, many interactive applications have been proposed, including integrating intelligent systems to handle data processing and enable dynamic communication functionalities for crucial IoT services. Nonetheless, most solutions lack optimizing relaying methods and impose excessive overheads for maintaining devices’ connectivity. Alternatively, data More >

  • Open Access

    ARTICLE

    Deepfake Detection Method Based on Spatio-Temporal Information Fusion

    Xinyi Wang*, Wanru Song, Chuanyan Hao, Feng Liu

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3351-3368, 2025, DOI:10.32604/cmc.2025.062922 - 16 April 2025

    Abstract As Deepfake technology continues to evolve, the distinction between real and fake content becomes increasingly blurred. Most existing Deepfake video detection methods rely on single-frame facial image features, which limits their ability to capture temporal differences between frames. Current methods also exhibit limited generalization capabilities, struggling to detect content generated by unknown forgery algorithms. Moreover, the diversity and complexity of forgery techniques introduced by Artificial Intelligence Generated Content (AIGC) present significant challenges for traditional detection frameworks, which must balance high detection accuracy with robust performance. To address these challenges, we propose a novel Deepfake detection… More >

  • Open Access

    ARTICLE

    A New Cybersecurity Approach Enhanced by xAI-Derived Rules to Improve Network Intrusion Detection and SIEM

    Federica Uccello1,2, Marek Pawlicki3,4, Salvatore D'Antonio1, Rafał Kozik3,4, Michał Choraś3,4,*

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1607-1621, 2025, DOI:10.32604/cmc.2025.062801 - 16 April 2025

    Abstract The growing sophistication of cyberthreats, among others the Distributed Denial of Service attacks, has exposed limitations in traditional rule-based Security Information and Event Management systems. While machine learning–based intrusion detection systems can capture complex network behaviours, their “black-box” nature often limits trust and actionable insight for security operators. This study introduces a novel approach that integrates Explainable Artificial Intelligence—xAI—with the Random Forest classifier to derive human-interpretable rules, thereby enhancing the detection of Distributed Denial of Service (DDoS) attacks. The proposed framework combines traditional static rule formulation with advanced xAI techniques—SHapley Additive exPlanations and Scoped Rules More >

  • Open Access

    ARTICLE

    ALCTS—An Assistive Learning and Communicative Tool for Speech and Hearing Impaired Students

    Shabana Ziyad Puthu Vedu1,*, Wafaa A. Ghonaim2, Naglaa M. Mostafa3, Pradeep Kumar Singh4

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2599-2617, 2025, DOI:10.32604/cmc.2025.062695 - 16 April 2025

    Abstract Hearing and Speech impairment can be congenital or acquired. Hearing and speech-impaired students often hesitate to pursue higher education in reputable institutions due to their challenges. However, the development of automated assistive learning tools within the educational field has empowered disabled students to pursue higher education in any field of study. Assistive learning devices enable students to access institutional resources and facilities fully. The proposed assistive learning and communication tool allows hearing and speech-impaired students to interact productively with their teachers and classmates. This tool converts the audio signals into sign language videos for the… More >

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