Georgia Garani^1,*, George Pramantiotis², Francisco Javier Moreno Arboleda³

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071509 - 12 January 2026

Abstract Earthquakes are highly destructive spatio-temporal phenomena whose analysis is essential for disaster preparedness and risk mitigation. Modern seismological research produces vast volumes of heterogeneous data from seismic networks, satellite observations, and geospatial repositories, creating the need for scalable infrastructures capable of integrating and analyzing such data to support intelligent decision-making. Data warehousing technologies provide a robust foundation for this purpose; however, existing earthquake-oriented data warehouses remain limited, often relying on simplified schemas, domain-specific analytics, or cataloguing efforts. This paper presents the design and implementation of a spatio-temporal data warehouse for seismic activity. The framework integrates… More >

Marija Macenić, Tomislav Kurevija^*, Tin Herbst

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.067067 - 27 December 2025

Abstract The increased interest in geothermal energy is evident, along with the exploitation of traditional hydrothermal systems, in the growing research and projects developing around the reuse of already-drilled oil, gas, and exploration wells. The Republic of Croatia has around 4000 wells, however, due to a long period since most of these wells were drilled and completed, there is uncertainty about how many are available for retrofitting as deep-borehole heat exchangers. Nevertheless, as hydrocarbon production decreases, it is expected that the number of wells available for the revitalization and exploitation of geothermal energy will increase. The… More >

Luyu Ma^1,*, Xiu Cheng^1,*, Zongyan Xing¹, Yue Wu¹, Weiwei Jiang²

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3921-3943, 2025, DOI:10.32604/cmc.2025.067786 - 23 September 2025

Abstract Green consumption (GC) are crucial for achieving the Sustainable Development Goals (SDGs). However, few studies have explored public attitudes toward GC using social media data, missing potential public concerns captured through big data. To address this gap, this study collects and analyzes public attention toward GC using web crawler technology. Based on the data from Sina Weibo, we applied RoBERTa, an advanced NLP model based on transformer architecture, to conduct fine-grained sentiment analysis of the public’s attention, attitudes and hot topics on GC, demonstrating the potential of deep learning methods in capturing dynamic and contextual… More >

Yixin Ding¹, Xinjian Zhao¹, Zicheng Wu¹, Yichen Zhu², Longkun Bai², Hao Han^2,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5977-5993, 2025, DOI:10.32604/cmc.2025.065672 - 30 July 2025

Abstract Fuzz testing is a widely adopted technique for uncovering bugs and security vulnerabilities in embedded firmware. However, many embedded systems heavily rely on peripherals, rendering conventional fuzzing techniques ineffective. When peripheral responses are missing or incorrect, fuzzing a firmware may crash or exit prematurely, significantly limiting code coverage. While prior re-hosting approaches have made progress in simulating Memory-Mapped Input/Output (MMIO) and interrupt-based peripherals, they either ignore Direct Memory Access (DMA) or handle it oversimplified. In this work, we present ADFEmu, a novel automated firmware re-hosting framework that enables effective fuzzing of DMA-enabled firmware. ADFEmu integrates… More >

Thi My Binh Nguyen^#, Thi Hoa Hue Nguyen^#, Thi Ngoc Huyen Do^*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5063-5076, 2025, DOI:10.32604/cmc.2025.064610 - 30 July 2025

Abstract Efficient warehouse management is critical for modern supply chain systems, particularly in the era of e-commerce and automation. The Multi-Picker Robot Routing Problem (MPRRP) presents a complex challenge involving the optimization of routes for multiple robots assigned to retrieve items from distinct locations within a warehouse. This study introduces optimized metaheuristic strategies to address MPRRP, with the aim of minimizing travel distances, energy consumption, and order fulfillment time while ensuring operational efficiency. Advanced algorithms, including an enhanced Particle Swarm Optimization (PSO-MPRRP) and a tailored Genetic Algorithm (GA-MPRRP), are specifically designed with customized evolutionary operators to More >

Isra Mohammed¹, Mohamed Elhafiz M. Musa², Murtada K. Elbashir^3,*, Ayman Mohamed Mostafa³, Amin Ibrahim Adam⁴, Mahmood A. Mahmood³, Areeg S. Faggad⁵

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3749-3763, 2025, DOI:10.32604/cmc.2025.063880 - 03 July 2025

Abstract Sonic Hedgehog Medulloblastoma (SHH-MB) is one of the four primary molecular subgroups of Medulloblastoma. It is estimated to be responsible for nearly one-third of all MB cases. Using transcriptomic and DNA methylation profiling techniques, new developments in this field determined four molecular subtypes for SHH-MB. SHH-MB subtypes show distinct DNA methylation patterns that allow their discrimination from overlapping subtypes and predict clinical outcomes. Class overlapping occurs when two or more classes share common features, making it difficult to distinguish them as separate. Using the DNA methylation dataset, a novel classification technique is presented to address… More >

Yan Xiong¹, Xiangnan Song¹, Jiawei Lu¹, Lei Liu², Yaru Yan³, Xuemin Ye^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1063-1077, 2025, DOI:10.32604/fdmp.2025.063769 - 30 May 2025

Abstract Enhancing the fermentation efficiency of waste in waste warehouses is pivotal for accelerating the pyrolysis process and minimizing harmful gas emissions. This study proposes an integrated approach, combining hot air injection with dual atomizing nozzles, for the thermal treatment of waste piles. Numerical simulations are employed to investigate the influence of various parameters, namely, nozzle height, nozzle tilt angle, inlet air velocity and air temperature, on the droplet diffusion process, spread area, droplet temperature, and droplet size distribution. The results show that reducing the nozzle height increases the temperature of droplets upon their deposition on… More > Graphic Abstract

Yuze Xue¹, Li Kou^2,3, Guosheng Jia^4,*, Liwen Jin⁴, Zhibin Zhang⁴, Jianke Hao⁴, Lip Huat Saw^5,*

Energy Engineering, Vol.122, No.3, pp. 1005-1024, 2025, DOI:10.32604/ee.2025.059198 - 07 March 2025

Abstract Geothermal energy, a form of renewable energy, has been extensively utilized for building heating. However, there is a lack of detailed comparative studies on the use of shallow and medium-deep geothermal energy in building energy systems, which are essential for decision-making. Therefore, this paper presents a comparative study of the performance and economic analysis of shallow and medium-deep borehole heat exchanger heating systems. Based on the geological parameters of Xi’an, China and commonly used borehole heat exchanger structures, numerical simulation methods are employed to analyze performance and economic efficiency. The results indicate that increasing the… More > Graphic Abstract

JUN-JIE YU, WAN-XI YANG^*

BIOCELL, Vol.49, No.1, pp. 93-107, 2025, DOI:10.32604/biocell.2024.058299 - 24 January 2025

Abstract Hedgehog (HH) signaling has been researched for decades and Hedgehog has 3 homologs: Sonic Hedgehog (Shh), Indian Hedgehog (Ihh), and Desert Hedgehog (Dhh). Dhh is the one involved in male gonad and germ cell development. The distribution of molecules in Hedgehog signaling in testis indicated that Hedgehog signaling executes important functions during testis development. The patients with Dhh signaling deficiency develop dysgenesis of gonads and hormone production which demands further exploration of gonad HH signaling. Some results proved the indispensable roles of HH signaling in gonad and germ cell development and the interaction with More > Graphic Abstract

Abhay Sanatan Satapathy¹, Suresh Kumar Sahoo¹, Asit Mohanty^2,3, Yasser Fouad⁴, Manzoore Elahi Mohammad Soudagar^5,6,7, Erdem Cuce^8,9,10,*

Energy Engineering, Vol.122, No.1, pp. 101-128, 2025, DOI:10.32604/ee.2024.055105 - 27 December 2024

Abstract The emergence of smart grids in India is propelled by an intricate interaction of market dynamics, regulatory structures, and stakeholder obligations. This study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders, such as government entities, utility companies, technology suppliers, and consumers. Government activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives, regulatory assistance, and strategic guidance. Utility firms have the responsibility of implementing and integrating smart grid infrastructure, with an emphasis More >