Risalina Myrtha^1,2,*, Hasanah Mumpuni^3,4, Real Kusumanjaya Marsam^3,4, Dyah Wulan Anggrahini^3,4, Anggoro Budi Hartopo^3,4, Lucia Kris Dinarti^3,4

Congenital Heart Disease, Vol.19, No.3, pp. 315-324, 2024, DOI:10.32604/chd.2024.051587

Abstract Background and Objective: The most feared complication of uncorrected secundum Atrial Septal Defect (ASD) is pulmonary arterial hypertension (PAH). Pulmonary vascular resistance (PVR) is crucial in detecting precapillary pulmonary hypertension (PH) to guide the need for PAH-specific therapy. There is a change in the cut-off value of PVR according to the recently updated PH guideline. How echocardiographic PVR (PVR) correlates to PVR by right heart catheterization (RHC) (PVR) according to the new guidelines has not been known. The aim of this study is to determine the reliability of PVR in detecting PAH in Uncorrected Ostium… More > Graphic Abstract

Wanrun Li^1,2,3,*, Wenhai Zhao¹, Tongtong Wang¹, Yongfeng Du^1,2,3

Structural Durability & Health Monitoring, Vol.18, No.5, pp. 553-575, 2024, DOI:10.32604/sdhm.2024.050751

Abstract The accumulation of defects on wind turbine blade surfaces can lead to irreversible damage, impacting the aerodynamic performance of the blades. To address the challenge of detecting and quantifying surface defects on wind turbine blades, a blade surface defect detection and quantification method based on an improved Deeplabv3+ deep learning model is proposed. Firstly, an improved method for wind turbine blade surface defect detection, utilizing Mobilenetv2 as the backbone feature extraction network, is proposed based on an original Deeplabv3+ deep learning model to address the issue of limited robustness. Secondly, through integrating the concept of… More > Graphic Abstract

Xianxian Yin¹, Shimin Yin¹, Yiming Bu², Xiukun Wei^3,*

Structural Durability & Health Monitoring, Vol.18, No.5, pp. 623-640, 2024, DOI:10.32604/sdhm.2024.050195

Abstract As an important component of load transfer, various fatigue damages occur in the track as the rail service life and train traffic increase gradually, such as rail corrugation, rail joint damage, uneven thermite welds, rail squats fastener defects, etc. Real-time recognition of track defects plays a vital role in ensuring the safe and stable operation of rail transit. In this paper, an intelligent and innovative method is proposed to detect the track defects by using axle-box vibration acceleration and deep learning network, and the coexistence of the above-mentioned typical track defects in the track system… More >

Enrico Mini^*, Ida Landini^*, Laura Lucarini^†, Andrea Lapucci^*, Cristina Napoli^‡, Gabriele Perrone^*, Renato Tassi^*, Emanuela Masini^†, Flavio Moroni^†, Stefania Nobili^‡

Oncology Research, Vol.25, No.9, pp. 1441-1451, 2017, DOI:10.3727/096504017X14926854178616

Abstract The poly(ADP-ribose) polymerase (PARP) enzymes play a key role in the regulation of cellular processes (e.g., DNA damage repair, genomic stability). It has been shown that PARP inhibitors (PARPIs) are selectively cytotoxic against cells having dysfunctions in genes involved in DNA repair mechanisms (synthetic lethality). Drug-induced PARP inhibition potentiates the activity of anticancer drugs such as 5-fluorouracil in enhancing DNA damage, whose repair involves PARP-1 activity. The aim of this study was to evaluate the inhibitory effects of a novel PARPI, HYDAMTIQ, on growth in human tumor cell lines characterized by different features with regard… More >

Jing Xiao^*, Guang Li^†, Jingyu Zhou^‡, Shalong Wang^‡, Dongcai Liu^‡, Guoshun Shu^‡, Jianping Zhou^‡, Feng Ren^‡

Oncology Research, Vol.26, No.4, pp. 593-604, 2018, DOI:10.3727/096504017X14920318811712

Abstract MicroRNAs (miRs), a class of small noncoding RNAs, are important regulators for gene expression through directly binding to the 3'-untranslated region (3'-UTR) of their target mRNA. Recently, downregulation of miR-520b has been observed in several common human cancers. However, the exact role of miR-520b in colorectal cancer (CRC) has not previously been studied. In this study, our data showed that miR-520b was significantly downregulated in CRC and cell lines when compared with adjacent normal tissues and a normal intestinal epithelial cell line. Low expression of miR-520b was notably associated with the malignant progress and a… More >

Enrico Mini^*, Ida Landini^*, Laura Lucarini^†, Andrea Lapucci^*, Cristina Napoli^‡, Gabriele Perrone^*, Renato Tassi^*, Emanuela Masini^†, Flavio Moroni^†, Stefania Nobili^‡

Oncology Research, Vol.26, No.2, pp. 333-334, 2018, DOI:10.3727/096504018X15187172557369

Abstract The poly(ADP-ribose) polymerase (PARP) enzymes play a key role in the regulation of cellular processes (e.g., DNA damage repair, genomic stability). It has been shown that PARP inhibitors (PARPIs) are selectively cytotoxic against cells having dysfunctions in genes involved in DNA repair mechanisms (synthetic lethality). Drug-induced PARP inhibition potentiates the activity of anticancer drugs such as 5-fluorouracil in enhancing DNA damage, whose repair involves PARP-1 activity. The aim of this study was to evaluate the inhibitory effects of a novel PARPI, HYDAMTIQ, on growth in human tumor cell lines characterized by different features with regard… More >

Norah Abdullah Al-Johany^1,*, Sanaa Abdullah Sharaf^1,2, Fathy Elbouraey Eassa^1,2, Reem Abdulaziz Alnanih^1,2,*

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3139-3173, 2024, DOI:10.32604/cmc.2024.047392

Abstract The Message Passing Interface (MPI) is a widely accepted standard for parallel computing on distributed memory systems. However, MPI implementations can contain defects that impact the reliability and performance of parallel applications. Detecting and correcting these defects is crucial, yet there is a lack of published models specifically designed for correcting MPI defects. To address this, we propose a model for detecting and correcting MPI defects (DC_MPI), which aims to detect and correct defects in various types of MPI communication, including blocking point-to-point (BPTP), nonblocking point-to-point (NBPTP), and collective communication (CC). The defects addressed by… More >

Xiao Lu^1,*, Chengling Jiang¹, Zhoujun Ma¹, Haitao Li², Yuexin Liu²

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 373-390, 2024, DOI:10.32604/cmc.2024.047469

Abstract Insulator defect detection plays a vital role in maintaining the secure operation of power systems. To address the issues of the difficulty of detecting small objects and missing objects due to the small scale, variable scale, and fuzzy edge morphology of insulator defects, we construct an insulator dataset with 1600 samples containing flashovers and breakages. Then a simple and effective surface defect detection method of power line insulators for difficult small objects is proposed. Firstly, a high-resolution feature map is introduced and a small object prediction layer is added so that the model can detect… More >

Kechen Song^1,2,*, Wenqi Cui², Han Yu¹, Xingjie Li¹, Yunhui Yan^2,*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3953-3969, 2024, DOI:10.32604/cmc.2024.048451

Abstract Segment Anything Model (SAM) is a cutting-edge model that has shown impressive performance in general object segmentation. The birth of the segment anything is a groundbreaking step towards creating a universal intelligent model. Due to its superior performance in general object segmentation, it quickly gained attention and interest. This makes SAM particularly attractive in industrial surface defect segmentation, especially for complex industrial scenes with limited training data. However, its segmentation ability for specific industrial scenes remains unknown. Therefore, in this work, we select three representative and complex industrial surface defect detection scenarios, namely strip steel More >

Sureka Sivavelu, Venkatesh Palanisamy^*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3469-3487, 2024, DOI:10.32604/cmc.2024.047407

Abstract The development of defect prediction plays a significant role in improving software quality. Such predictions are used to identify defective modules before the testing and to minimize the time and cost. The software with defects negatively impacts operational costs and finally affects customer satisfaction. Numerous approaches exist to predict software defects. However, the timely and accurate software bugs are the major challenging issues. To improve the timely and accurate software defect prediction, a novel technique called Nonparametric Statistical feature scaled QuAdratic regressive convolution Deep nEural Network (SQADEN) is introduced. The proposed SQADEN technique mainly includes… More >