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  • Open Access

    CASE REPORT

    Diagnosis and management of a rare paratesticular venous malformation in a pediatric patient

    D.C. Leslie1,#, V.M. Ramakrishnan2,#, J. Putra3, H.J. Paltiel4, H. Thaker2,*

    Canadian Journal of Urology, Vol.32, No.1, pp. 43-46, 2025, DOI:10.32604/cju.2025.064688 - 20 March 2025

    Abstract A 14-year-old presented with an asymptomatic left testicular mass after a brief episode of pain. Examination showed a non-tender left testis that was significantly larger than the right. Ultrasound revealed a 4.5-cm avascular mass and an absence of normal testicular parenchyma. Tumor markers were unremarkable. A CT scan demonstrated no lymphadenopathy but identified a prominent left spermatic cord. Due to a suspicion of chronic torsion vs. malignancy, a left radical orchiectomy was performed. Pathology identified a hemorrhagic paratesticular venous malformation without signs of germ cell neoplasia, a rare entity. More >

  • Open Access

    ARTICLE

    Charcoal Briquette Manufactured from Indonesian Sugar Palm Bunches (Arenga longipes Mogea) as Biomass-Based New Renewable Energy

    Luthfi Hakim1,*, Apri Heri Iswanto1,*, Yunida Syafriani Lubis2, Adam Jagwani Wirawan1, Ridwanti Batubara1, Nam Hum Kim3, Petar Antov4, Tomasz Rogoziński5, Lee Seng Hua6, Lum Wei Chen7, Rangabhashiyam Selvasembian8, Jayusman2, Jajang Sutiawan9

    Journal of Renewable Materials, Vol.13, No.3, pp. 637-650, 2025, DOI:10.32604/jrm.2025.056365 - 20 March 2025

    Abstract The utilisation of sugar palm bunches-charcoal briquettes (SPB-CB) represents a significant advancement in biomass energy. This study aimed to analyse the properties of charcoal briquettes produced from SPB (Arenga longipes). The experiment involved categorising the dimensions of charcoal powder into three specific particle sizes: 20–40 mesh, 40–60 mesh, and particles that could pass through a 60-mesh screen. The charcoal powder will be combined with tapioca as a binding agent at three specific concentrations: 11%, 13%, and 15%. The research findings indicate that the samples underwent 60 mesh passes achieved the maximum briquette density, with an average… More >

  • Open Access

    REVIEW

    Biobased Biodegradable Polybutylene Succinate Polymers and Composites: Synthesis, Structure Properties and Applications—A Review

    Peter Ramashadi Makgwane1,2,*, Sudhakar Muniyasamy1,3,*, Lerato Hlekelele1, Andri Swanepoel1, Venkata Satyanarayana Sypu1, Lindani Mdlalose1, Saloshnee Naidoo1, Zamani Cele1, Arjun Maity1,4, Mohammed Balogun1, Orebotse Joseph Botlhoko5

    Journal of Renewable Materials, Vol.13, No.3, pp. 449-495, 2025, DOI:10.32604/jrm.2025.027523 - 20 March 2025

    Abstract The materialization of polybutylene succinate (PBS) belongs to the family of polyesters which are degradable and biodegradable, their biodegradability properties have attracted enormous interest for product development towards different polymer-based applications. Besides its biodegradability, PBS can be derived from petroleum and biobased monomers. At the same time, the latter is the driving factor for its growing interest in bioplastics for fully green and sustainable biobased-derived polymer products. The processes and techniques presented herein, are based on the production of biobased succinic acid monomer to PBS. However, the counterpart biobased monomer 1,4-butanediol (1,4-BDO) production has not… More > Graphic Abstract

    Biobased Biodegradable Polybutylene Succinate Polymers and Composites: Synthesis, Structure Properties and Applications—A Review

  • Open Access

    ARTICLE

    AdaptForever: Elastic and Mutual Learning for Continuous NLP Task Mastery

    Ke Chen1,2, Cheng Peng1,2, Xinyang He1,2, Jiakang Sun1,2, Xu Liu1,2, Xiaolin Qin1,2,*, Yong Zhong1,2,*

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4003-4019, 2025, DOI:10.32604/cmc.2025.057443 - 06 March 2025

    Abstract In natural language processing (NLP), managing multiple downstream tasks through fine-tuning pre-trained models often requires maintaining separate task-specific models, leading to practical inefficiencies. To address this challenge, we introduce AdaptForever, a novel approach that enables continuous mastery of NLP tasks through the integration of elastic and mutual learning strategies with a stochastic expert mechanism. Our method freezes the pre-trained model weights while incorporating adapters enhanced with mutual learning capabilities, facilitating effective knowledge transfer from previous tasks to new ones. By combining Elastic Weight Consolidation (EWC) for knowledge preservation with specialized regularization terms, AdaptForever successfully maintains More >

  • Open Access

    REVIEW

    Smoothed Particle Hydrodynamics (SPH) Simulations of Drop Evaporation: A Comprehensive Overview of Methods and Applications

    Leonardo Di G. Sigalotti*, Carlos A. Vargas

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2281-2337, 2025, DOI:10.32604/cmes.2025.060497 - 03 March 2025

    Abstract The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through the liquid-vapor interface, is encountered in many natural and industrial processes as well as in numerous engineering applications. Therefore, understanding and predicting the dynamics of evaporating flows have become of primary importance. Recent efforts have been addressed using the method of Smoothed Particle Hydrodynamics (SPH), which has proven to be very efficient in correctly handling the intrinsic complexity introduced by the multiscale nature of the evaporation process. This paper aims to provide an overview of… More > Graphic Abstract

    Smoothed Particle Hydrodynamics (SPH) Simulations of Drop Evaporation: A Comprehensive Overview of Methods and Applications

  • Open Access

    ARTICLE

    Influence of Microwave Power and Heating Time on the Drying Kinetics and Mechanical Properties of Eucalyptus gomphocephala Wood

    Mariam Habouria1, Sahbi Ouertani1,*, Noura Ben Mansour2, Soufien Azzouz1, Mohamed Taher Elaieb3

    Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 345-360, 2025, DOI:10.32604/fhmt.2024.057387 - 26 February 2025

    Abstract The aim of this paper was to characterize through experiment the moisture and temperature kinetic behavior of Eucalyptus gomphocephala wood samples using microwave heating (MWH) in two scenarios: intermittently and continuously. The mechanical properties and surface appearance of the heated samples were also investigated. Continuous and intermittent microwave drying kinetic experiments were conducted at a frequency of 2.45 GHz using a microwave laboratory oven at 300, 500, and 1000 watts. Drying rate curves indicated three distinct phases of MWH. Increasing the microwave power with a shorter drying time led to rapid increases in internal temperature and… More >

  • Open Access

    ARTICLE

    A Novel Proactive AI-Based Agents Framework for an IoE-Based Smart Things Monitoring System with Applications for Smart Vehicles

    Meng-Hua Yen1,*, Nilamadhab Mishra2,*, Win-Jet Luo3, Chu-En Lin1

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1839-1855, 2025, DOI:10.32604/cmc.2025.060903 - 17 February 2025

    Abstract The Internet of Everything (IoE) coupled with Proactive Artificial Intelligence (AI)-Based Learning Agents (PLAs) through a cloud processing system is an idea that connects all computing resources to the Internet, making it possible for these devices to communicate with one another. Technologies featured in the IoE include embedding, networking, and sensing devices. To achieve the intended results of the IoE and ease life for everyone involved, sensing devices and monitoring systems are linked together. The IoE is used in several contexts, including intelligent cars’ protection, navigation, security, and fuel efficiency. The Smart Things Monitoring System… More >

  • Open Access

    ARTICLE

    Masked Face Restoration Model Based on Lightweight GAN

    Yitong Zhou, Tianliang Lu*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3591-3608, 2025, DOI:10.32604/cmc.2024.057554 - 17 February 2025

    Abstract Facial recognition systems have become increasingly significant in public security efforts. They play a crucial role in apprehending criminals and locating missing children and elderly individuals. Nevertheless, in practical applications, around 30% to 50% of images are obstructed to varied extents, for as by the presence of masks, glasses, or hats. Repairing the masked facial images will enhance face recognition accuracy by 10% to 20%. Simultaneously, market research indicates a rising demand for efficient facial recognition technology within the security and surveillance sectors, with projections suggesting that the global facial recognition market would exceed US$3… More >

  • Open Access

    ARTICLE

    One Novel Nortriterpenoid from the Mastic (Pistacia lentiscus) and Its Anti-Inflammatory Activity

    Yan Wu1, Xuerui An1, Haofan Lv1, Zhiqiang Zhao1, Wei Liu1,2,*, Chunpeng Wan1,3,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 199-207, 2025, DOI:10.32604/phyton.2025.059581 - 24 January 2025

    Abstract A novel pair of oleanane nor-triterpenes, with compound 1 featuring a unique 18α-H structure, was isolated from mastic, and this compound represents a noteworthy new entity not previously reported in the literature. The absolute configurations of their structures were further determined using a combination of different analytical methods such as NMR, high-resolution mass spectrometry (HR-MS), ultraviolet (UV), infrared (IR) and single-crystal X-ray diffraction (SXRD). The compound actively mitigated inflammations by efficiently quenching nitric oxide (NO) synthesis within an ex vivo system using lipopolysaccharide activated murine macrophage RAW264.7 cells. Moreover, compound 1 exhibit a better IC50 concentration of More >

  • Open Access

    ARTICLE

    Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

    Khalil Ullah1,*, Song Jian1, Muhammad Naeem Ul Hassan1, Suliman Khan2, Mohammad Babar3,*, Arshad Ahmad4, Shafiq Ahmad5

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1151-1169, 2025, DOI:10.32604/cmc.2024.057328 - 03 January 2025

    Abstract The emergence of next generation networks (NextG), including 5G and beyond, is reshaping the technological landscape of cellular and mobile networks. These networks are sufficiently scaled to interconnect billions of users and devices. Researchers in academia and industry are focusing on technological advancements to achieve high-speed transmission, cell planning, and latency reduction to facilitate emerging applications such as virtual reality, the metaverse, smart cities, smart health, and autonomous vehicles. NextG continuously improves its network functionality to support these applications. Multiple input multiple output (MIMO) technology offers spectral efficiency, dependability, and overall performance in conjunction with More >

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