Xuemin Wang, Qiaochen Li, Xuguang Bao^*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047586

Abstract Humans are experiencing the inclusion of artificial agents in their lives, such as unmanned vehicles, service robots, voice assistants, and intelligent medical care. If the artificial agents cannot align with social values or make ethical decisions, they may not meet the expectations of humans. Traditionally, an ethical decision-making framework is constructed by rule-based or statistical approaches. In this paper, we propose an ethical decision-making framework based on incremental ILP (Inductive Logic Programming), which can overcome the brittleness of rule-based approaches and little interpretability of statistical approaches. As the current incremental ILP makes it difficult to solve conflicts, we propose a… More >

Qazi Mazhar ul Haq¹, Fahim Arif^2,3, Khursheed Aurangzeb⁴, Noor ul Ain³, Javed Ali Khan⁵, Saddaf Rubab⁶, Muhammad Shahid Anwar^7,*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047172

Abstract Software project outcomes heavily depend on natural language requirements, often causing diverse interpretations and issues like ambiguities and incomplete or faulty requirements. Researchers are exploring machine learning to predict software bugs, but a more precise and general approach is needed. Accurate bug prediction is crucial for software evolution and user training, prompting an investigation into deep and ensemble learning methods. However, these studies are not generalized and efficient when extended to other datasets. Therefore, this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification problems. The methods involved feature selection, which is used to… More >

FEI KONG¹, QIYUAN TIAN², BINGLIN KUANG³, LILI SHANG⁴, XIAOXIAO ZHANG⁵, DONGYANG LI⁵, YING KONG^6,*

BIOCELL, Vol., , DOI:10.32604/biocell.2024.046342

Abstract Introduction: Myocardial ischemia-reperfusion (IR) injury has received widespread attention due to its damaging effects. Electroacupuncture (EA) pretreatment has preventive effects on myocardial IR injury. SLC26A4 is a Na+ independent anion reverse transporter and has not been reported in myocardial IR injury. Objectives: To find potential genes that may be regulated by EA and explore the role of this gene in myocardial IR injury. Methods: RNA sequencing and bioinformatics analysis were performed to obtain the differentially expressed genes in the myocardial tissue of IR rats with EA pretreatment. Myocardial infarction size was detected by TTC staining. Serum CK, creatinine kinase-myocardial band,… More > Graphic Abstract

JIYU WANG^1,2, HUIXIA LI^1,2, DEYUAN ZHOU^1,2, LIHONG BAI^1,2, KEJING TANG^1,2,3,*

BIOCELL, Vol., , DOI:10.32604/biocell.2024.030420

Abstract Background: For patients with lung cancer, timely identification of new lung lesions as infectious or non-infectious, and accurate identification of pathogens is very important in improving OS of patients. As a new auxiliary examination, metagenomic next-generation sequencing (mNGS) is believed to be more accurate in diagnosing infectious diseases in patients without underlying diseases, compared with conventional microbial tests (CMTs). We designed this study to find out whether mNGS has better performance in distinguishing infectious and non-infectious diseases in lung cancer patients using bronchoalveolar lavage fluid (BALF). Materials and Methods: This study was a real-world retrospective review based on electronic medical… More >

Yang Li, Sibo Jiang^*, Ruixin Lan

Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2024.047776

Abstract Chloride (Cl⁻) ion erosion effects can seriously impact the safety and service life of marine liquefied natural gas (LNG) storage tanks and other polar offshore structures. This study investigates the impact of different low-temperature cycles (20°C, –80°C, and −160°C) and concrete specimen crack widths (0, 0.3, and 0.6 mm) on the Cl⁻ ion diffusion performance through rapid erosion tests conducted on pre-cracked concrete. The results show that the minimum temperature and crack width of freeze-thaw cycles enhance the erosive effect of chloride ions. The Cl⁻ ion concentration and growth rate increased with the increasing crack width. Based on the experimental… More >

Şerife Büyükokudan¹, Öznur Körükcü^2,*

Psycho-Oncologie, Vol., , DOI:10.32604/po.2024.046627

Abstract Although some types of gynecological cancer have a poor prognosis and high recurrence rate, less is known about the fear of cancer recurrence (FCR) in gynecological cancer patients than in other cancer populations. Psychosocial problems may be experienced more in gender-specific cancers. In order to prevent future health problems related to FCR, it is critical to identify the factors affecting FCR in different subgroups and to develop various interventions. The aim of this study was to review the literature on the factors affecting the FCR in women diagnosed with gynecological cancer and interventions to reduce the FCR. The protocol of… More >

ZHAOYING ZHU^1,#, YANJIA HU^2,#, FENG YE², HAIBO TENG², GUOLIANG YOU¹, YUNHUI ZENG², MENG TIAN², JIANGUO XU², JIN LI², ZHIYONG LIU², HAO LIU^2,*, NIANDONG ZHENG^1,*

Oncology Research, Vol., , DOI:10.32604/or.2024.042456

Abstract Background: Inhibitor of NF-κB kinase-interacting protein (IKIP) is known to promote proliferation of glioblastoma (GBM) cells, but how it affects migration and invasion by those cells is unclear. Methods: We compared levels of IKIP between glioma tissues and normal brain tissue in clinical samples and public databases. We examined the effects of IKIP overexpression and knockdown on the migration and invasion of GBM using transwell and wound healing assays, and we compared the transcriptomes under these different conditions to identify the molecular mechanisms involved. Results: Based on data from our clinical samples and from public databases, IKIP was overexpressed in… More >

Bin Chen¹, Ziyang Li¹, Shipeng Li¹, Qingzhou Zhao¹, Xingdou Liu^2,*

Energy Engineering, Vol., , DOI:10.32604/ee.2024.046374

Abstract To reduce carbon emissions, clean energy is being integrated into the power system. Wind power is connected to the grid in a distributed form, but its high variability poses a challenge to grid stability. This article combines wind turbine monitoring data with numerical weather prediction (NWP) data to create a suitable wind power prediction framework for distributed grids. First, high-precision NWP of the turbine range is achieved using weather research and forecasting models (WRF), and Kriging interpolation locates predicted meteorological data at the turbine site. Then, a preliminary predicted power series is obtained based on the fan’s wind speed-power conversion… More >

Nidhika Chauhan¹, Navneet Kaur², Kamaljit Singh Saini², Sahil Verma³, Abdulatif Alabdulatif⁴, Ruba Abu Khurma^5,7, Maribel Garcia-Arenas⁶, Pedro A. Castillo^6,*

Computer Systems Science and Engineering, Vol., , DOI:10.32604/csse.2024.042690

Abstract As cloud computing usage grows, cloud data centers play an increasingly important role. To maximize resource utilization, ensure service quality, and enhance system performance, it is crucial to allocate tasks and manage performance effectively. The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers. The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies, categories, and gaps. A literature review was conducted, which included the analysis of 463 task allocations and 480 performance management papers. The review revealed three task allocation… More >

Shu-Chuan Chu¹, Xiaomeng Yang¹, Li Zhang², Václav Snášel³, Jeng-Shyang Pan^1,4,*

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.048594

Abstract The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance; however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. By amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of… More >