Shazia Shamas¹, Surya Narayan Panda^1,*, Ishu Sharma^1,*, Kalpna Guleria¹, Aman Singh^2,3,4, Ahmad Ali AlZubi⁵, Mallak Ahmad AlZubi⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1051-1075, 2024, DOI:10.32604/cmes.2023.030712 - 17 November 2023

Abstract The distinction and precise identification of tumor nodules are crucial for timely lung cancer diagnosis and planning intervention. This research work addresses the major issues pertaining to the field of medical image processing while focusing on lung cancer Computed Tomography (CT) images. In this context, the paper proposes an improved lung cancer segmentation technique based on the strengths of nature-inspired approaches. The better resolution of CT is exploited to distinguish healthy subjects from those who have lung cancer. In this process, the visual challenges of the K-means are addressed with the integration of four nature-inspired… More >

Lina Al-joudi, Muhammad Arif^*

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1763-1780, 2023, DOI:10.32604/cmc.2023.039413 - 30 August 2023

Abstract The subcellular localization of human proteins is vital for understanding the structure of human cells. Proteins play a significant role within human cells, as many different groups of proteins are located in a specific location to perform a particular function. Understanding these functions will help in discovering many diseases and developing their treatments. The importance of imaging analysis techniques, specifically in proteomics research, is becoming more prevalent. Despite recent advances in deep learning techniques for analyzing microscopy images, classification models have faced critical challenges in achieving high performance. Most protein subcellular images have a significant… More >

Mehdi Hassan^1,2, Safdar Ali³, Jin Young Kim^2,*, Muhammad Sanaullah⁴, Hani Alquhayz⁵, Khushbakht Safdar⁶

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1643-1663, 2023, DOI:10.32604/cmc.2023.038578 - 30 August 2023

Abstract Breast cancer resistance protein (BCRP) is an important resistance protein that significantly impacts anticancer drug discovery, treatment, and rehabilitation. Early identification of BCRP substrates is quite a challenging task. This study aims to predict early substrate structure, which can help to optimize anticancer drug development and clinical diagnosis. For this study, a novel intelligent approach-based methodology is developed by modifying the ResNet101 model using transfer learning (TL) for automatic deep feature (DF) extraction followed by classification with linear discriminant analysis algorithm (TLRNDF-LDA). This study utilized structural fingerprints, which are exploited by DF contrary to conventional More >

Pan Li¹, Xiaochao Jin¹, Pin Lv¹, Xueling Fan^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010540

Abstract Refurbishment of thermal barrier coating (TBC) has become a valuable technique to prolong the service life of high-temperature components. In this work, the effect of refurbishment process on the oxidation behaviors of TBC was investigated. Before recoating, the soft chemical stripping method was used to remove TBC from DD6 single-crystal superalloy. The results showed that a certain amount of IDZ layer with Cr-rich would be retained in the DD6 superalloy substrate after coating removal. The characteristics of the β phases change from the elongated grain shapes and a high aspect ratio in the ordinary specimens… More >

Baofeng Ji^1,2,3,*, Mingkun Zhang^1,2, Weixing Wang¹, Song Chen⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2661-2673, 2023, DOI:10.32604/cmes.2023.028762 - 03 August 2023

Abstract The improvement of the quality and efficiency of vehicle wireless network data transmission is always a key concern in the Internet of Vehicles (IoV). Routing transmission solved the limitation of transmission distance to a certain extent. Traditional routing algorithm cannot adapt to complex traffic environment, resulting in low transmission efficiency. In order to improve the transmission success rate and quality of vehicle network routing transmission, make the routing algorithm more suitable for complex traffic environment, and reduce transmission power consumption to improve energy efficiency, a comprehensive optimized routing transmission algorithm is proposed. Based on the… More >

Tawfeeq Shawly¹, Ahmed A. Alsheikhy^2,*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 731-751, 2023, DOI:10.32604/cmc.2023.039433 - 08 June 2023

Abstract More than 500,000 patients are diagnosed with breast cancer annually. Authorities worldwide reported a death rate of 11.6% in 2018. Breast tumors are considered a fatal disease and primarily affect middle-aged women. Various approaches to identify and classify the disease using different technologies, such as deep learning and image segmentation, have been developed. Some of these methods reach 99% accuracy. However, boosting accuracy remains highly important as patients’ lives depend on early diagnosis and specified treatment plans. This paper presents a fully computerized method to detect and categorize tumor masses in the breast using two… More >

Yuanyuan Li^1,#, Jinze Mu^2,#, Qingliang Li¹, Huabing Liu³, Xuefeng Yuan^2,*, Deya Wang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2079-2085, 2023, DOI:10.32604/phyton.2023.028237 - 29 May 2023

Abstract Infection of plum bark necrosis stem pitting associated virus (PBNSPaV) has been reported in many Prunus species in several countries, causing significant economic losses. The very small proteins encoded by plant viruses are often overlooked due to their short sequences and uncertain significance. However, numerous studies have indicated that they might play important roles in the pathogenesis of virus infection. The role of small hydrophobic protein P6, encoded by the open reading frame 2 of PBNSPaV, has not been well explored. In this study, we amplified the P6 fragment from a PBNSPaV isolate by RT-PCR using specific… More >

SHUIZHONG CEN^1,#, XIAOJIE PENG^2,#, JIANWEN DENG^3,#, HAIYUN JIN⁴, ZHINAN DENG⁵, XIAOHUA LIN³, DI ZHU³, MING JIN⁶, YANWEN ZHU³, PUSHENG ZHANG³, YUNFENG LUO³, HONGYAN HUANG^3,*

Oncology Research, Vol.31, No.3, pp. 375-388, 2023, DOI:10.32604/or.2023.028256 - 22 May 2023

Abstract Triple-negative breast cancer (TNBC) is characterized by fast growth, high metastasis, high invasion, and a lack of therapeutic targets. Mitosis and metastasis of TNBC cells are two important biological behaviors in TNBC malignant progression. It is well known that the long noncoding RNA AFAP1-AS1 plays a crucial role in various tumors, but whether AFAP1-AS1 is involved in the mitosis of TNBC cells remains unknown. In this study, we investigated the functional mechanism of AFAP1-AS1 in targeting Polo-like Kinase 1 (PLK1) activation and participating in mitosis of TNBC cells. We detected the expression of AFAP1-AS1 in the TNBC… More > Graphic Abstract

Erdiwansyah Erdiwansyah^a,e,f, Mahidin Mahidin^b,*, Husni Husin^b, Nasaruddin Nasaruddin^c, Asri Gani^b, Muhammad Faisal, Muhtadin Muhtadin^d, Muhammad Zaki^b, Rizalman Mamat^e

Frontiers in Heat and Mass Transfer, Vol.20, pp. 1-9, 2023, DOI:10.5098/hmt.20.29

Abstract The conversion of solid biomass waste into energy continues to be developed at this time to reduce dependence on fossil energy. Energy conversion can be carried out using several technologies commercialized by several industries, including the fluidized-bed combustor (FBC). This FBC technology has also been developed in several ways, such as the modification or unique modelling. In particular, the perforated plate modelling applied in this study is to provide excess air supply so that complete combustion can be achieved. In addition, modifying the perforated plate increases efficiency and radiation and reduces heat loss in the… More >

GUSTAVO MARTÍN VILLOLDO¹, MARÍA TERESA POMBO², MARIANA ARIS³, JOAQUÍN CHEMI¹, PABLO MANDÓ³, SUPRIYA NAGARAJU⁴, JUAN CAMEAN¹, ADRIÁN BURIONI¹, DEBORAH EGEA¹, MORA AMAT⁵, JOSÉ LEÓN MELLADO³, JOSÉ MORDOH³, ALBERTO VILLARONGA¹, MARÍA MARCELA BARRIO^3,*

Oncology Research, Vol.31, No.2, pp. 207-220, 2023, DOI:10.32604/or.2023.028163 - 10 April 2023

Abstract Intravesical Bacillus Calmette Guerin (BCG) is the gold standard therapy for intermediate/high-risk nonmuscle invasive bladder cancer (NMIBC). However, the response rate is ~60%, and 50% of non-responders will progress to muscle-invasive disease. BCG induces massive local infiltration of inflammatory cells (Th1) and ultimately cytotoxic tumor elimination. We searched for predictive biomarker of BCG response by analyzing tumor-infiltrating lymphocyte (TIL) polarization in the tumor microenvironment (TME) in pre-treatment biopsies. Pre-treatment biopsies from patients with NMIBC who received adequate intravesical instillation of BCG (n = 32) were evaluated retrospectively by immunohistochemistry. TME polarization was assessed by quantifying… More > Graphic Abstract