Fanny Delehaye^1,2,3,*, Caroline Fayet², Julien Lejeune⁴

Psycho-Oncologie, Vol.18, No.2, pp. 109-115, 2024, DOI:10.32604/po.2024.042737 - 06 August 2024

Abstract School difficulties are common in children cancer survivors and may be prognostic for the success of the patient social reintegration after the disease. Here, we carry out a narrative review of the literature from 2001 to 2022 to assess the school difficulties of these patients, the predictive factors of these difficulties, and the possible long-term consequences. We punctuate this review the practical point-of-view of a teacher dedicated to our hospital, who works with children with chronic diseases such as cancer. Therefore, we expose possible barriers and solutions to improve the scholar reintegration and limit the More >

Zhilin Li^1,2, Yuxin Li¹, Chunyu Yan¹, Peng Yan¹, Xiutong Li¹, Mei Yu¹, Tingchi Wen^4,5, Benliang Xie^1,2,3,*

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 679-694, 2024, DOI:10.32604/cmc.2024.051526 - 18 July 2024

Abstract Diseases in tea trees can result in significant losses in both the quality and quantity of tea production. Regular monitoring can help to prevent the occurrence of large-scale diseases in tea plantations. However, existing methods face challenges such as a high number of parameters and low recognition accuracy, which hinders their application in tea plantation monitoring equipment. This paper presents a lightweight I-MobileNetV2 model for identifying diseases in tea leaves, to address these challenges. The proposed method first embeds a Coordinate Attention (CA) module into the original MobileNetV2 network, enabling the model to locate disease More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.8, pp. 1379-1379, 2024, DOI:10.32604/or.2024.055034 - 17 July 2024

Abstract This article has no abstract. More >

WEI JIANG¹, MEI ZHOU^2,*

Oncology Research, Vol.32, No.8, pp. 1359-1368, 2024, DOI:10.32604/or.2024.043423 - 17 July 2024

Abstract Multiple myeloma (MM) is a plasma cell malignancy and remains incurable as it lacks effective curative approaches; thus, novel therapeutic strategies are desperately needed. The study aimed to explore the therapeutic role of dihydromyricetin (DHM) in MM and explore its mechanisms. Human MM and normal plasma samples, human MM cell lines, and normal plasma cells were used for in vitro experiments. Cell counting kit-8 (CCK-8), flow cytometry, and trans-well assays were performed for the assessment of cell viability, apoptosis, migration, and invasion, respectively. Quantitative real-time polymerase chain reaction (qRT-PCR) was employed to assess the mRNA expression… More > Graphic Abstract

M. Sridevi¹, B. Shankar Goud², Ali Hassan^3,4,*, D. Mahendar⁵

Frontiers in Heat and Mass Transfer, Vol.22, No.3, pp. 939-953, 2024, DOI:10.32604/fhmt.2024.050929 - 11 July 2024

Abstract This study intends to evaluate the influence of temperature stratification on an unsteady fluid flow past an accelerated vertical plate in the existence of viscous dissipation. It is assumed that the medium under study is a grey, non-scattered fluid that both fascinates and transmits radiation. The leading equations are discretized using the finite difference method (FDM). Using MATLAB software, the impacts of flow factors on flow fields are revealed with particular examples in graphs and a table. In this regard, FDM results show that the velocity and temperature gradients increase with an increase of Eckert More >

Weijian Song^1,, Xi Li^1,, Peng Chen^1,*, Juan Chen¹, Jianhua Ren², Yunni Xia^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 3001-3016, 2024, DOI:10.32604/cmes.2024.048563 - 08 July 2024

Abstract With the rapid development of Internet of Things (IoT) technology, IoT systems have been widely applied in healthcare, transportation, home, and other fields. However, with the continuous expansion of the scale and increasing complexity of IoT systems, the stability and security issues of IoT systems have become increasingly prominent. Thus, it is crucial to detect anomalies in the collected IoT time series from various sensors. Recently, deep learning models have been leveraged for IoT anomaly detection. However, owing to the challenges associated with data labeling, most IoT anomaly detection methods resort to unsupervised learning techniques.… More >

Yuanqing He^*, Xinyue Yu, Yu Xia, Yanhua Cao

International Journal of Mental Health Promotion, Vol.26, No.6, pp. 463-474, 2024, DOI:10.32604/ijmhp.2024.051909 - 28 June 2024

Abstract Background: Teacher burnout is a serious issue in the field of education, particularly in early childhood education, where teachers face high levels of work stress and emotional labor, leading to emotional exhaustion and job burnout. However, past research has not sufficiently explored the mechanisms of social skills, empathy, and mindfulness in mitigating teacher burnout. Therefore, this study aims to investigate the relationship between preschool teachers’ social skills, empathy, and mindfulness with job burnout, in order to provide theoretical basis and practical guidance for reducing teacher burnout. Methods: This research utilized a convenience sampling approach to… More >

Guanglu Xie¹, Zhimin Xue¹, Bo Xiong¹, Yaowen Huang¹, Chaoming Chen¹, Qing Liao¹, Cheng Yang^2,*, Xiaoqian Ma²

Energy Engineering, Vol.121, No.6, pp. 1495-1519, 2024, DOI:10.32604/ee.2024.047832 - 21 May 2024

Abstract The determination of source-side extracted heating parameters is of great significance to the economic operation of cogeneration systems. This paper investigated the coupling performance of a cogeneration heating and power system multidimensionally based on the operating characteristics of the cogeneration units, the hydraulic and thermodynamic characteristics of the heating network, and the energy loads. Taking a steam network supported by a gas-steam combined cycle cogeneration system as the research case, the interaction effect among the source-side prime movers, the heating networks, and the terminal demand thermal parameters were investigated based on the designed values, the… More >

Shuyi Li, Hongchao Hu^*, Xiaohan Yang, Guozhen Cheng, Wenyan Liu, Wei Guo

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2331-2359, 2024, DOI:10.32604/cmc.2024.047275 - 15 May 2024

Abstract Adversarial distillation (AD) has emerged as a potential solution to tackle the challenging optimization problem of loss with hard labels in adversarial training. However, fixed sample-agnostic and student-egocentric attack strategies are unsuitable for distillation. Additionally, the reliability of guidance from static teachers diminishes as target models become more robust. This paper proposes an AD method called Learnable Distillation Attack Strategies and Evolvable Teachers Adversarial Distillation (LDAS&ET-AD). Firstly, a learnable distillation attack strategies generating mechanism is developed to automatically generate sample-dependent attack strategies tailored for distillation. A strategy model is introduced to produce attack strategies that… More >

QIN LIU^1,#, CHUNYAN NIU^2,#,*, QIANG ZHANG³, SHIQIN SUN⁴, YUE CHEN², YONGQIANG SHI²

BIOCELL, Vol.48, No.5, pp. 759-769, 2024, DOI:10.32604/biocell.2024.048551 - 06 May 2024

Abstract Background: Nonalcoholic fatty liver disease (NAFLD) is a global health concern with the acid sphingomyelinase (ASM)/ceramide (CE) pathway and the NOD-like receptor family, pyrin domain-containing protein 3 (NLRP3) inflammasome identified as pivotal players in lipid disorders and inflammation. This study explores the interaction mechanism between the ASM/CE pathway and NLRP3 in NAFLD cell models, aiming to understand the impact of amitriptyline (Ami), an ASM inhibitor, on lipid deposition and hepatocyte injury by regulating the ASM/CE-NLRP3 pathway. Methods: HepG2 and HL-7702 cells were exposed to free fatty acids (FFAs) to establish the NAFLD model. The cells… More >