Chen Chen, Kai Qiao, Jie Yang, Jian Chen, Bin Yan^*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2629-2642, 2024, DOI:10.32604/cmc.2024.056038 - 18 November 2024

Abstract Computed Tomography (CT) is a commonly used technology in Printed Circuit Boards (PCB) non-destructive testing, and element segmentation of CT images is a key subsequent step. With the development of deep learning, researchers began to exploit the “pre-training and fine-tuning” training process for multi-element segmentation, reducing the time spent on manual annotation. However, the existing element segmentation model only focuses on the overall accuracy at the pixel level, ignoring whether the element connectivity relationship can be correctly identified. To this end, this paper proposes a PCB CT image element segmentation model optimizing the semantic perception… More >

Nevena Stojadinović¹, Goran Mihajlović¹, Marko Spasić¹, Milena Mladenović¹, Darko Hinić^2,*

Psycho-Oncologie, Vol.18, No.3, pp. 159-168, 2024, DOI:10.32604/po.2024.050122 - 12 September 2024

Abstract Breast cancer is considered one of the most frequent causes of morbidity and death in women. Individuals’ response to information regarding health threats and illness can influence the adjustment of the treatment to existing conditions including the issues of non-completion of treatment or non-attendance at medical appointments. The study aimed to examine the relationship between illness perception, body image dissatisfaction and (mal)adaptive coping styles in breast cancer patients. A sample of 197 patients with diagnosed breast cancer hospitalized at the Center for Oncology and Radiology, Kragujevac, Serbia, was surveyed. The instruments included sociodemographic questionnaire, a… More >

Yunxiang Liu, Haili Ma, Jianlin Zhu^*, Qiangbo Zhang

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2963-2978, 2024, DOI:10.32604/cmc.2024.053710 - 15 August 2024

Abstract To enhance the efficiency and accuracy of environmental perception for autonomous vehicles, we propose GDMNet, a unified multi-task perception network for autonomous driving, capable of performing drivable area segmentation, lane detection, and traffic object detection. Firstly, in the encoding stage, features are extracted, and Generalized Efficient Layer Aggregation Network (GELAN) is utilized to enhance feature extraction and gradient flow. Secondly, in the decoding stage, specialized detection heads are designed; the drivable area segmentation head employs DySample to expand feature maps, the lane detection head merges early-stage features and processes the output through the Focal Modulation More >

Lyuchao Liao^1,2, Hankun Xiao^2,*, Pengqi Xing², Zhenhua Gan^1,2, Youpeng He², Jiajun Wang²

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 557-576, 2024, DOI:10.32604/cmes.2024.047452 - 16 April 2024

Abstract Autonomous driving has witnessed rapid advancement; however, ensuring safe and efficient driving in intricate scenarios remains a critical challenge. In particular, traffic roundabouts bring a set of challenges to autonomous driving due to the unpredictable entry and exit of vehicles, susceptibility to traffic flow bottlenecks, and imperfect data in perceiving environmental information, rendering them a vital issue in the practical application of autonomous driving. To address the traffic challenges, this work focused on complex roundabouts with multi-lane and proposed a Perception Enhanced Deep Deterministic Policy Gradient (PE-DDPG) for Autonomous Driving in the Roundabouts. Specifically, the… More >

Guilhem Paillard-Brunet^*, Audrey Couillet

Psycho-Oncologie, Vol.18, No.1, pp. 23-31, 2024, DOI:10.32604/po.2023.047888 - 25 March 2024

Abstract Cette étude qualitative visait à recueillir chez les professionnels d’un Centre de Lutte Contre le Cancer les attentes et les réticences qu’ils pouvaient avoir vis-à-vis des interventions de pair-aidance. Des entretiens individuels semi-structurés ont été menés auprès de 12 professionnels issus de professions différentes. Une retranscription intégrale des entretiens puis une analyse thématique de leur contenu ont été conduites. L’analyse des données a permis de faire émerger trois thèmes principaux quant aux attentes exprimées par les soignants : le besoin d’un accompagnement plus soutenant des patients, rompre leur isolement dans la maladie et enrichir le More >

Carolle Annie Njopvoui^*, Armel Valdin Teague Tsopgny, Henri Rodrigue Njengoue Ngamaleu

Psycho-Oncologie, Vol.18, No.1, pp. 59-68, 2024, DOI:10.32604/po.2023.047499 - 25 March 2024

Abstract Estimated at more than 2.2 million cases worldwide, most breast cancer cases and deaths from breast cancer occur in low and middle-income countries. In Cameroon, many studies have underlined the effect of knowledge of breast cancer on screening measures such as self-examination and, to a lesser extent, the perception of the threat of this disease. This research aims to assess according to the Health Belief Model (HBM), the moderating effect of perceived threat of breast cancer on the relation between knowledge and breast self-examination. A questionnaire survey was conducted among 517 Cameroonian women to assess… More >

Zhongping Chen, Weigong Zhang^*

Structural Durability & Health Monitoring, Vol.18, No.2, pp. 111-124, 2024, DOI:10.32604/sdhm.2023.043563 - 22 March 2024

Abstract Automatic control technology is the basis of road robot improvement, according to the characteristics of construction equipment and functions, the research will be input type perception from positioning acquisition, real-world monitoring, the process will use RTK-GNSS positional perception technology, by projecting the left side of the earth from Gauss-Krueger projection method, and then carry out the Cartesian conversion based on the characteristics of drawing; steering control system is the core of the electric drive unmanned module, on the basis of the analysis of the composition of the steering system of unmanned engineering vehicles, the steering… More >

Renaud Mabire-Yon^1,*, Arnaud Siméone¹, Thibaud Marmorat², Anne-Sophie Petit¹, Mathilde Perray¹, Costanza Puppo¹, Charlotte Bauquier¹, Claire Della Vecchia¹, Hervé Picard³, Marie Préau¹

Psycho-Oncologie, Vol.17, No.4, pp. 245-256, 2023, DOI:10.32604/po.2023.042296 - 28 December 2023

Abstract Objectifs : Cette étude visait à déterminer si les personnes atteintes d’un cancer (PAC) présentaient un profil unique de perception du risque COVID-19 et à identifier les facteurs psychosociaux caractérisant les PAC qui n’appartenaient pas au profil majoritaire de perception du risque. Procédure : Une étude transversale par auto-questionnaire en ligne a été menée en France du 25 avril au 7 mai 2020, avec un échantillon (n = 748) comprenant des PAC, des personnes ne recevant pas de traitement contre le cancer et des personnes n’ayant pas d’antécédents de cancer. Des profils latents de perception du risque… More >

Yi Shi, Fangfang Shangguan^*, Jing Xiao^*

International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1257-1263, 2023, DOI:10.32604/ijmhp.2023.030516 - 29 December 2023

Abstract Background: Social support is related to depression, but the gender differences and related factors that contribute to low social support among adolescents with subthreshold depression remain to be elucidated. This study explores the relationship between social support and depression, in addition to the gender difference in the incidence of low social support among adolescents with subthreshold depression and its related factors. Methods: A total of 371 Chinese adolescents with subthreshold depression were recruited. All subjects were rated on the Social Support Scale for Adolescents, the Response Style Scale, the Self-Perception Profile for Children, the Individualism-collectivism… More >

Ting Zhao¹, Weiping Ding¹, Haibo Huang¹, Yudong Wu^1,2,*

Sound & Vibration, Vol.57, pp. 133-153, 2023, DOI:10.32604/sv.2023.044203 - 21 December 2023

Abstract The deployment of vehicle micro-motors has witnessed an expansion owing to the progression in electrification and intelligent technologies. However, some micro-motors may exhibit design deficiencies, component wear, assembly errors, and other imperfections that may arise during the design or manufacturing phases. Consequently, these micro-motors might generate anomalous noises during their operation, consequently exerting a substantial adverse influence on the overall comfort of drivers and passengers. Automobile micro-motors exhibit a diverse array of structural variations, consequently leading to the manifestation of a multitude of distinctive auditory irregularities. To address the identification of diverse forms of abnormal… More > Graphic Abstract