Mingyu Cai^1,2, Xingchun Li^1,2, Kunfeng Zhang^1,2,*, Shugang Yang^1,2, Shuangxing Liu^1,2, Ming Xue^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-2, 2025, DOI:10.32604/icces.2025.010490

Abstract Deep saline aquifers account for more than 90% of the global theoretical geological CO₂ sequestration capacity, making them the dominant choice for large-scale CO₂ storage. These aquifers offer vast storage potential, especially in comparison to oil and gas reservoirs, which are often considered for CO₂ geological sequestration. Despite their significant storage capacity, deep saline aquifers face several challenges that hinder their practical application. In particular, the lack of adequate geological infrastructure and exploration conditions for deep saline aquifers presents major obstacles to the effective monitoring of CO₂ migration and predicting leakage risks. These challenges are compounded by… More >

Jianwei Wang^1,2, Xinzhi Yang³, Lvbiao Lin⁴, Jianbo Yu^5,*, Jie Mao^4,*

Oncology Research, Vol.33, No.10, pp. 3023-3040, 2025, DOI:10.32604/or.2025.065380 - 26 September 2025

Abstract Objectives: Glioma, as the most lethal primary brain malignancy with poor prognosis, requires further elucidation on the functional role of long noncoding RNA (lncRNA) DDX11 antisense RNA 1 (DDX11-AS1) in its pathogenesis, despite its established oncogenic functions in other cancers. Therefore, this study sought to characterize the oncogenic role and molecular mechanism of DDX11-AS1 in glioma. Methods: DDX11-AS1 expression levels were analyzed in clinical surgical glioma specimens and publicly available datasets. The functional roles of DDX11-AS1 on glioma cell proliferation and migration were investigated using in vitro knockdown and overexpression assays. In vivo tumor growth was assessed… More > Graphic Abstract

Pamela Lippi, Giovan Battista Mattii, Eleonora Cataldo^*

Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 33-64, 2025, DOI:10.32604/phyton.2025.059997 - 24 January 2025

Abstract Biochar has emerged as a promising tool for enhancing vineyard sustainability by improving soil properties and mitigating climate change impacts. This review highlights key findings on biochar’s role in viticulture, focusing on its effects on soil fertility, water retention, and plant physiology. Field and pot studies demonstrate that biochar amendments enhance soil structure, increase cation exchange capacity (CEC), and promote water availability, leading to improved drought resistance in grapevines. However, the impacts on grape yield, physiology, and quality remain inconclusive, with some studies reporting benefits while others show neutral effects. Future research should focus on More >

Saroj Lamichhane¹, Roseline Mostafa², Bhaskaran Gopalakrishnan^2,*, Dayakar G. Devaru³

Energy Engineering, Vol.121, No.10, pp. 2743-2767, 2024, DOI:10.32604/ee.2024.051035 - 11 September 2024

Abstract Building energy performance is a function of numerous building parameters. In this study, sensitivity analysis on twenty parameters is performed to determine the top three parameters that have the most significant impact on the energy performance of buildings. Actual data from two fully operational commercial buildings were collected and used to develop a building energy model in the Quick Energy Simulation Tool (eQUEST). The model is calibrated using the Normalized Mean Bias Error (NMBE) and Coefficient of Variation of Root Mean Square Error (CV(RMSE)) method. The model satisfies the NMBE and CV(RMSE) criteria set by… More > Graphic Abstract

Dayong Wang^1,*, Kamalrulnizam Bin Abu Bakar¹, Babangida Isyaku²

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2065-2080, 2024, DOI:10.32604/cmc.2024.051944 - 15 August 2024

Abstract The rapid development of Internet of Things (IoT) technology has led to a significant increase in the computational task load of Terminal Devices (TDs). TDs reduce response latency and energy consumption with the support of task-offloading in Multi-access Edge Computing (MEC). However, existing task-offloading optimization methods typically assume that MEC’s computing resources are unlimited, and there is a lack of research on the optimization of task-offloading when MEC resources are exhausted. In addition, existing solutions only decide whether to accept the offloaded task request based on the single decision result of the current time slot,… More >

Bingfei Fu^*

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1407-1424, 2024, DOI:10.32604/cmc.2024.052656 - 18 July 2024

Abstract Discovering floating wastes, especially bottles on water, is a crucial research problem in environmental hygiene. Nevertheless, real-world applications often face challenges such as interference from irrelevant objects and the high cost associated with data collection. Consequently, devising algorithms capable of accurately localizing specific objects within a scene in scenarios where annotated data is limited remains a formidable challenge. To solve this problem, this paper proposes an object discovery by request problem setting and a corresponding algorithmic framework. The proposed problem setting aims to identify specified objects in scenes, and the associated algorithmic framework comprises pseudo… More >

Yong Qin^1,2, Xiaoyu Li^1,2, Yanhong Wu^1,2, Hai Wang³, Guiqi Han^1,2,3, Zhuyun Yan^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 119-135, 2024, DOI:10.32604/phyton.2023.046075 - 26 January 2024

Abstract Root exudates serve as crucial mediators for information exchange between plants and soil, and are an important evolutionary mechanism for plants’ adaptation to environmental changes. In this study, 15 different abiotic stress models were established using various stress factors, including drought (D), high temperature (T), nitrogen deficiency (N), phosphorus deficiency (P), and their combinations. We investigated their effects on the seedling growth of Salvia miltiorrhiza Bunge and the activities of Solid-Urease (S-UE), Solid-Nitrite Reductase (S-NiR), Solid-Nitrate Reductase (S-NR), Solid-Phosphotransferase (S-PT), and Solid-Catalase (S-CAT), as well as the contents of polysaccharides in the culture medium. The results… More >

Salam Al-E’mari¹, Yousef Sanjalawe^2,*, Ahmad Al-Daraiseh³, Mohammad Bany Taha⁴, Mohammad Aladaileh²

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 1-41, 2024, DOI:10.32604/cmes.2023.043627 - 30 December 2023

Abstract Amid the landscape of Cloud Computing (CC), the Cloud Datacenter (DC) stands as a conglomerate of physical servers, whose performance can be hindered by bottlenecks within the realm of proliferating CC services. A linchpin in CC’s performance, the Cloud Service Broker (CSB), orchestrates DC selection. Failure to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck, endangering service quality. To tackle this, deploying an efficient CSB policy becomes imperative, optimizing DC selection to meet stringent Quality-of-Service (QoS) demands. Amidst numerous CSB policies, their implementation grapples with challenges like costs and availability.… More >

Qifen Li, Xiaoxiao Yan^*, Yongwen Yang, Liting Zhang, Yuanbo Hou

Journal of Renewable Materials, Vol.11, No.7, pp. 3177-3191, 2023, DOI:10.32604/jrm.2023.027749 - 05 June 2023

Abstract Microbial Electrolytic Cell (MEC) is an electrochemical reaction device that uses electrical energy as an energy input and microorganisms as catalysts to produce fuels and chemicals. The regenerative electrochemical system is a MEC improvement system for methane gas produced by biological carbon sequestration technology using renewable energy sources to provide a voltage environment. In response to the influence of fluctuating disturbances of renewable electricity and the long system start-up time, this paper analyzes the characteristics of two strategies, regulating voltage parameter changes and activated sludge pretreatment, on the methane production efficiency of the renewable gas… More >

Yan Du^1,2, Shibin Zhang^1,2,*, Guogen Wan^1,2, Daohua Zhou³, Jiazhong Lu^1,2, Yuanyuan Huang^1,2, Xiaoman Cheng⁴, Yi Zhang⁴, Peilin He⁵

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5743-5759, 2023, DOI:10.32604/cmc.2023.035919 - 29 April 2023

Abstract Nowadays, industrial control system (ICS) has begun to integrate with the Internet. While the Internet has brought convenience to ICS, it has also brought severe security concerns. Traditional ICS network traffic anomaly detection methods rely on statistical features manually extracted using the experience of network security experts. They are not aimed at the original network data, nor can they capture the potential characteristics of network packets. Therefore, the following improvements were made in this study: (1) A dataset that can be used to evaluate anomaly detection algorithms is produced, which provides raw network data. (2)… More >