Hiroki Nagamine¹, Masaru Miura^1,*, Jun Maeda¹, Takumi Nishiki¹, Maasa Sato², Fumie Takechi³, Shigeru Tateno⁴, Tomoko Ishizu⁵, Yumi Shiina⁶, Ken Kato⁷, Hiroshi Ono⁸, Hiroyuki Yamagishi⁹, Koichiro Niwa⁶

Congenital Heart Disease, Vol.19, No.4, pp. 351-362, 2024, DOI:10.32604/chd.2024.051837 - 31 October 2024

Abstract Background: Aortic root dilatation occurs in adults with tetralogy of Fallot (TOF) after surgical repair, but the longitudinal changes are unclear. The main research aim is to determine the annual dilatation rate of aorta in adults with repaired TOF. Methods: The present, multicentric, prospective cohort study assessed the rate of aortic diameter change in adults aged 20 years or older with TOF, including pulmonary artery atresia, who underwent surgical repair. Clinical data, focusing on echocardiograms, were collected at three-year intervals from seven hospitals. Results: In total, 104 patients (58 males; median age: 29 years) were enrolled.… More > Graphic Abstract

Mohammed Mohammed^1,2,*, Jawad K. Oleiwi³, Aeshah M. Mohammed⁴, Anwar Ja’afar Mohamad Jawad⁵, Azlin F. Osman^1,2, Tijjani Adam⁶, Bashir O. Betar⁷, Subash C. B. Gopinath^2,8,9

Journal of Renewable Materials, Vol.12, No.7, pp. 1237-1290, 2024, DOI:10.32604/jrm.2024.051201 - 21 August 2024

Abstract Natural fibre (NFR) reinforced functional polymer composites are quickly becoming an indispensable sustainable material in the transportation industry because of their lightweight, lower cost in manufacture, and adaptability to a wide variety of goods. However, the major difficulties of using these fibres are their existing poor dimensional stability and the extreme hydrophilicity. In assessing the mechanical properties (MP) of composites, the interfacial bonding (IB) happening between the NFR and the polymer matrix (PM) plays an incredibly significant role. When compared to NFR/synthetic fibre hybrid composites, hybrid composites (HC) made up of two separate NFR are… More > Graphic Abstract

Zheyi Chen^1,, Liuchang Xu^1,, Hongting Zheng¹, Luyao Chen¹, Amr Tolba^2,3, Liang Zhao⁴, Keping Yu^5,*, Hailin Feng^1,*

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 1753-1808, 2024, DOI:10.32604/cmc.2024.052618 - 15 August 2024

Abstract Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for AI development, has evolved from statistical to neural models over the last two decades. Recently, transformer-based Pre-trained Language Models (PLM) have excelled in Natural Language Processing (NLP) tasks by leveraging large-scale training corpora. Increasing the scale of these models enhances performance significantly, introducing abilities like context learning that smaller models lack. The advancement in Large Language Models, exemplified by the development of ChatGPT, has made significant impacts both academically and industrially, capturing widespread… More >

Fanny Delehaye^1,2,*, Olivier Dejardin^1,3, Isabelle Pellier⁴, Ludivine Launay^1,5, Maxime Esvan⁶, Damien Bodet², Liana Carausu⁷, Julien Lejeune⁸, Frédéric Millot⁹, Caroline Thomas¹⁰, Virginie Gandemer¹¹, Arnaud Alves^1,12, Julien Rod^1,13

Psycho-Oncologie, Vol.18, No.2, pp. 117-126, 2024, DOI:10.32604/po.2024.043073 - 06 August 2024

Abstract La période post-traitement une part fondamental de la prise en charge du cancer pédiatrique. Durant cette période, les difficultés scolaires et psychologiques chez les survivants d’un cancer pédiatriques (SCP) sont connues et peuvent être pronostic sur la bonne réintégration sociale. Cette étude estime l’influence de la déprivation sociale du foyer de l’enfant sur ces difficultés. Notre étude se base sur une base de données multicentrique, et se concentre sur les SCP avant reçu une évaluation psychosociale au cours de leur suivi, de 2013 à 2020. Nous rapportons les données des difficultés scolaires et psychologiques. Le… More >

Bo Yang^1,*, Yucun Qian¹, Jianzhong Xu², Yaxing Ren³, Yixuan Chen⁴

Energy Engineering, Vol.121, No.8, pp. 2085-2091, 2024, DOI:10.32604/ee.2024.050083 - 19 July 2024

Abstract This article has no abstract. More >

Zhengyang Zhang^#, Weixue Liu^#, Yinran Huang^*, Ping Li^*

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1263-1274, 2024, DOI:10.32604/phyton.2024.050755 - 27 June 2024

Abstract Plant antifreeze proteins (AFPs) are special proteins that can protect plant cells from ice crystal damage in low-temperature environments, and they play a crucial role in the process of plants adapting to cold environments. Proteins with these characteristics have been found in fish living in cold regions, as well as many plants and insects. Although research on plant AFPs started relatively late, their application prospects are broad, leading to the attention of many researchers to the isolation, cloning, and genetic improvement of plant AFP genes. Studies have found that the distribution of AFPs in different species… More >

Wenxiang Dong, H. Vicky Zhao^*

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 139-170, 2024, DOI:10.32604/cmes.2024.047156 - 16 April 2024

Abstract Understanding and modeling individuals’ behaviors during epidemics is crucial for effective epidemic control. However, existing research ignores the impact of users’ irrationality on decision-making in the epidemic. Meanwhile, existing disease control methods often assume users’ full compliance with measures like mandatory isolation, which does not align with the actual situation. To address these issues, this paper proposes a prospect theory-based framework to model users’ decision-making process in epidemics and analyzes how irrationality affects individuals’ behaviors and epidemic dynamics. According to the analysis results, irrationality tends to prompt conservative behaviors when the infection risk is low More >

Pengjun Li¹, Qixin Zhao¹, Yingmin Liu¹, Chao Zhong¹, Jinlong Wang^1,*, Zhihan Lyu²

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3825-3865, 2024, DOI:10.32604/cmc.2024.046851 - 26 March 2024

Abstract Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order. Amidst the challenges posed by intricate and unpredictable risk factors, knowledge graph technology is effectively driving risk management, leveraging its ability to associate and infer knowledge from diverse sources. This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios. Firstly, employing bibliometric methods, the aim is to uncover the developmental trends and current research hotspots within the… More >

SHAHID HUSSAIN^1,*, HABIB BOKHARI¹, XINGXING FAN², SHAUKAT IQBAL MALIK³, SUNDAS IJAZ¹, MUHAMMAD ADNAN SHEREEN⁴, AIMAN FATIMA³

BIOCELL, Vol.48, No.3, pp. 403-413, 2024, DOI:10.32604/biocell.2024.044801 - 15 March 2024

Abstract The global incidence of lung cancer is marked by a considerably elevated mortality rate. MicroRNAs (miRNAs) exert pivotal influence in the intricate orchestration of gene regulation, and their dysregulation can precipitate dire consequences, notably cancer. Within this context, miRNAs encapsulated in exosomes manifest a diversified impact on the landscape of lung cancer, wherein their actions may either foster angiogenesis, cell proliferation, and metastasis, or counteract these processes. This comprehensive review article discerns potential targets for the prospective development of therapeutic agents tailored for lung cancer. Tumor-suppressive miRNAs, such as miR-204, miR-192, miR-30a, miR-34a, miR-34b, miR-203,… More >

Doaa Sami Khafaga¹, Zongming Lv², Imran Khan^3,4, Shebnam M. Sefat⁵, Amel Ali Alhussan^1,*

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3723-3740, 2023, DOI:10.32604/cmc.2023.039956 - 26 December 2023

Abstract With the capacities of self-learning, acquainted capacities, high-speed looking for ideal arrangements, solid nonlinear fitting, and mapping self-assertively complex nonlinear relations, neural systems have made incredible advances and accomplished broad application over the final half-century. As one of the foremost conspicuous methods for fake insights, neural systems are growing toward high computational speed and moo control utilization. Due to the inborn impediments of electronic gadgets, it may be troublesome for electronic-implemented neural systems to make the strides these two exhibitions encourage. Optical neural systems can combine optoelectronic procedures and neural organization models to provide ways… More >