PRATIBHA SUKU¹, AISHWARYA DASH¹, ARAVIND RADHAKRISHNAN¹, PANKAJ MALHOTRA², MAN UPDESH SINGH SACHDEVA^1,*

Oncology Research, Vol.33, No.5, pp. 1055-1068, 2025, DOI:10.32604/or.2024.055154 - 18 April 2025

Abstract Circulating plasma cells (CPCs) in patients of plasma cell neoplasm have been an area of intense research in recent decades. Circulating tumor plasma cells (CTPCs) might represent a sub-clone of tumor cells that have exited into peripheral blood as a result of the dynamic interactions between the bone marrow (BM) microenvironment and neoplastic plasma cells. Chemokine receptors like chemokine receptor 4 (CXCR4) and integrins are known to play a role in homing and migration of plasma cells (PCs). The hypoxic microenvironment in the BM niche also contributes to their circulation through various mechanisms. In addition,… More >

Hamza Murad Khan¹, Anwar Khan^1,*, Santos Gracia Villar^2,3,4, Luis Alonso Dzul Lopez^2,5,6, Abdulaziz Almaleh⁷, Abdullah M. Al-Qahtani⁸

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3369-3388, 2025, DOI:10.32604/cmc.2025.060474 - 16 April 2025

Abstract Traffic forecasting with high precision aids Intelligent Transport Systems (ITS) in formulating and optimizing traffic management strategies. The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity. To address this problem, this paper uses the Tree-structured Parzen Estimator (TPE) to tune the hyperparameters of the Long Short-term Memory (LSTM) deep learning framework. The Tree-structured Parzen Estimator (TPE) uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples. This ensures fast convergence in… More >

Wan Ying Gan^1,#,*, Wei-Leng Chin^2,3,#, Shih-Wei Huang^4,5, Serene En Hui Tung⁶, Ling Jun Lee¹, Wai Chuen Poon⁷, Yan Li Siaw⁸, Kerry S. O’Brien⁹, Iqbal Pramukti¹⁰, Kamolthip Ruckwongpatr¹¹, Jung-Sheng Chen¹², Mark D. Griffiths¹³, Chung-Ying Lin^{10,11,14,15,*}

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 319-331, 2025, DOI:10.32604/ijmhp.2025.060049 - 31 March 2025

Abstract Background: Weight-related self-stigma (WRSS) is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes. Social support and coping models explain how individuals may use different coping methods to deal with their mental health needs. Psychological distress (e.g., depression and stress) could lead to overuse of social media and smartphones. When using social media or smartphones, individuals are likely to be exposed to negative comments regarding weight/shape/size posted on the social media. Consequently, individuals who experience problematic social media use (PSMU) or problematic smartphone use (PSPU)… More >

Haoyuan Li, Lingling Li^*

Energy Engineering, Vol.122, No.4, pp. 1337-1358, 2025, DOI:10.32604/ee.2025.060105 - 31 March 2025

Abstract Rational distribution network planning optimizes power flow distribution, reduces grid stress, enhances voltage quality, promotes renewable energy utilization, and reduces costs. This study establishes a distribution network planning model incorporating distributed wind turbines (DWT), distributed photovoltaics (DPV), and energy storage systems (ESS). K-means++ is employed to partition the distribution network based on electrical distance. Considering the spatiotemporal correlation of distributed generation (DG) outputs in the same region, a joint output model of DWT and DPV is developed using the Frank-Copula. Due to the model’s high dimensionality, multiple constraints, and mixed-integer characteristics, bilevel programming theory is… More >

Nayara Koba de Moura Morgado, Guilherme Ferreira de Melo Morgado, Erick Gabriel Ribeiro dos Anjos, Fabio Roberto Passador^*

Journal of Polymer Materials, Vol.42, No.1, pp. 95-110, 2025, DOI:10.32604/jpm.2025.059364 - 27 March 2025

Abstract The continuous improvement in patient care and recovery is driving the development of innovative materials for medical applications. Medical sutures, essential for securing implants and closing deep wounds, have evolved to incorporate smart materials capable of responding to various stimuli. This study explores the potential of thermoresponsive sutures, made from shape memory materials, that contract upon heating to bring loose stitches closer together, promoting optimal wound closure. We developed nanocomposites based on a blend of poly(lactic acid) (PLA) and thermoplastic polyurethane (TPU)—biopolymers that inherently exhibit shape memory—enhanced with carbon nanotubes (CNT) and graphene nanoplatelets (GN)… More >

AMJAD YOUSUF¹, NAJEEB ULLAH KHAN^2,*

Oncology Research, Vol.33, No.4, pp. 851-861, 2025, DOI:10.32604/or.2025.058956 - 19 March 2025

Abstract Breast cancer is a significant global concern, with limited effective treatment options. Therefore, therapies with high efficacy and low complications, unlike the existing chemotherapies, are urgently required. To address this issue, advances have been made in therapies targeting molecular pathways related to the murine double minute 2 proto-oncogene (MDM2)-tumor proteinp53 (TP53) interaction. This review aims to investigate the efficacy of MDM2 inhibition in restoring TP53 activity in breast cancer cells, as evidenced by clinical studies, reviews, and trials. TP53 is a tumor suppressor and MDM2 facilitates proteasomal degradation of TP53. MDM2 and TP53 activity More > Graphic Abstract

Weidong Li^1,2, Zh Yeng Chong³, Yaqing Mao^4,*, Wanying Zhang⁴, Wei Xu³, Mingwei Li⁵, Yiyun Wang⁶, Huaxia Xiong⁴

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 161-177, 2025, DOI:10.32604/ijmhp.2025.059090 - 03 March 2025

Abstract Background: The Teaching Personal and Social Responsibility (TPSR) model in physical education (PE) has been shown to promote Social and emotional competence (SEC). However, the underlying mechanisms through which TPSR enhances SEC, particularly in university students within the Chinese context, remain unclear. This study aims to explore the effects of TPSR and the mediating roles of self-efficacy and grit in improving SEC. Methods: 71 Chinese university students were in the TPSR group, and 39 in the Traditional Teaching Model (TTM) control group, assessed before and after a 14-week intervention. The Adapted Social and Emotional Competence… More >

Jahida Subhedar^1,2, Anurag Mahajan^1,*, Shabana Urooj³, Neeraj Kumar Shukla^4,5

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2831-2847, 2025, DOI:10.32604/cmc.2025.059350 - 17 February 2025

Abstract Retinal Optical Coherence Tomography (OCT) images, a non-invasive imaging technique, have become a standard retinal disease detection tool. Due to disease, there are morphological and textural changes in the layers of the retina. Classifying OCT images is challenging, as the morphological manifestations of different diseases may be similar. The OCT images capture the reflectivity characteristics of the retinal tissues. Retinal diseases change the reflectivity property of retinal tissues, resulting in texture variations in OCT images. We propose a hybrid approach to OCT image classification in which the Convolution Neural Network (CNN) model is trained using… More >

Wei Chen, Xin Gao^*, Zhanhong Wei, Xusheng Yang, Zhao Li

Energy Engineering, Vol.122, No.2, pp. 805-821, 2025, DOI:10.32604/ee.2025.059779 - 31 January 2025

Abstract This paper deeply introduces a brand-new research method for the synchronous characteristics of DC microgrid bus voltage and an improved synchronous control strategy. This method mainly targets the problem of bus voltage oscillation caused by the bifurcation behavior of DC microgrid converters. Firstly, the article elaborately establishes a mathematical model of a single distributed power source with hierarchical control. On this basis, a small-world network model that can better adapt to the topology structure of DC microgrids is further constructed. Then, a voltage synchronization analysis method based on the main stability function is proposed, and… More >

Wanqing Yuan¹, Huiying Xie¹, Can Huang², Xiaoliang Wang^1,3,*, Qingquan Liu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2045-2066, 2025, DOI:10.32604/cmes.2025.058977 - 27 January 2025

Abstract Landing spacecraft experience significant impact forces during landing, resulting in large deformation and failure in the soil surface, which severely affects landing safety and stability. This paper establishes a smoothed particle hydrodynamics (SPH) model based on the theory of soil elastoplastic constitutive relations to describe the process of a lander’s footpad impacting lunar regolith vertically. The model can provide engineering indices such as impact load and penetration depth, and illustrate the large deformation and crater characteristics of the regolith. A detailed analysis of the response of the footpad and lunar regolith during landing reveals that… More > Graphic Abstract