Chao Qu, Xiaoshan Jia, Haidong Zhu^*

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 401-420, 2025, DOI:10.32604/ijmhp.2025.061059 - 31 March 2025

Abstract Objectives: Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature. It significantly impacts the social and psychological development of kids and teenagers. This study aimed to explore the latent profiles and longitudinal transition patterns of parent-child and peer attachments among adolescents. Methods: A cohort of 914 participants from China completed the measures with a twelve-month interval. There were 46.8% boys and 53.2% girls in this survey. Latent profile analysis (LPA) was adopted to explore the distinct profiles reflecting different parent-child and peer attachment response patterns… 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 >

Juan Yang^1,2,#, Jiahui Zhang^3,#, Le Zhang^1,2,*, Zhenshan Yang^4,*

BIOCELL, Vol.49, No.3, pp. 399-417, 2025, DOI:10.32604/biocell.2025.059908 - 31 March 2025

Abstract With the prevalence of obesity, metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease worldwide and can cause a series of serious complications. The pathogenesis of MASLD is complex, characterized by oxidative stress, impaired mitochondrial function and lipid metabolism, and cellular inflammation. Mitochondrial biology and function are central to the physiology of the liver. It has been suggested that mitochondrial oxidative stress plays a crucial role in MASLD progression. Excessive oxidative stress response is an important trigger for the occurrence and development of MASLD. In this review, we aim to More >

Oliver Crampton^1,*, Panagiotis Promponas^1,2, Richard Chen¹, Paul Polakos¹, Leandros Tassiulas², Louis Samuel¹

Journal of Quantum Computing, Vol.7, pp. 1-15, 2025, DOI:10.32604/jqc.2025.061275 - 21 March 2025

Abstract Distributed Quantum Computing (DQC) provides a means for scaling available quantum computation by interconnecting multiple quantum processor units (QPUs). A key challenge in this domain is efficiently allocating logical qubits from quantum circuits to the physical qubits within QPUs, a task known to be NP-hard. Traditional approaches, primarily focused on graph partitioning strategies, have sought to reduce the number of required Bell pairs for executing non-local CNOT operations, a form of gate teleportation. However, these methods have limitations in terms of efficiency and scalability. Addressing this, our work jointly considers gate and qubit teleportations introducing… More >

BIAO WU^1,#, XIANLIN GUO^2,#, ZHISHI WU¹, LIANG CHEN^1,*, SUQING ZHANG^3,*

Oncology Research, Vol.33, No.4, pp. 975-988, 2025, DOI:10.32604/or.2025.058085 - 19 March 2025

Abstract Objectives: Although Yes-associated protein 1 (YAP1) is an important oncogene in hepatocellular carcinoma (HCC) progression, its nuclear localization prevents it from being considered a potential therapeutic target. Recently, studies have reported that coatomer protein complex subunit beta 2 (COPB2) also plays a critical role in HCC development; however its mechanism of action is unclear. This study aimed to investigate the role of COPB2 and YAP1 in the progression of HCC and to elucidate the underlying mechanisms. Methods: COPB2 and YAP1 expression in HCC tissues were first analyzed by database searches and immunohistochemistry. Nomogram and artificial… More >

CHRISTINA LOH¹, YUQI ZHENG¹, ISLAM ALZOUBI², KIMBERLEY L. ALEXANDER^3,4, MAGGIE LEE⁴, WEI-DONG CAI², YANG SONG⁵, KERRIE MCDONALD⁶, ANNA K. NOWAK⁷, RICHARD B. BANATI^8,9, MANUEL B. GRAEBER^1,4,10,*

Oncology Research, Vol.33, No.4, pp. 937-950, 2025, DOI:10.32604/or.2024.056436 - 19 March 2025

Abstract Background: Microglia and brain macrophages contribute significantly to the tumor microenvironment in highly malignant glioblastoma where they are considered important drivers of tumor progression. A better understanding of the role of the brain macrophages present in glioblastoma appears crucial for improving therapeutic outcomes, especially in the context of novel immunotherapeutic approaches. Methods: We investigated the regulation of two well-established markers for microglia and brain macrophages, IBA1 and CD163, in relation to glioblastoma tumor necrosis using immunohistochemistry and modality fusion heatmaps of whole slide images obtained from adjacent tissue sections. Results: IBA1 and CD163 showed remarkable differences… More >

Hamayun Khan^1,*, Muhammad Atif Imtiaz², Hira Siddique³, Muhammad Tausif Afzal Rana⁴, Arshad Ali⁵, Muhammad Zeeshan Baig⁶, Saif ur Rehman⁷, Yazed Alsaawy⁵

Computer Systems Science and Engineering, Vol.49, pp. 317-331, 2025, DOI:10.32604/csse.2025.061118 - 19 March 2025

Abstract The migration of tasks aided by machine learning (ML) predictions IN (DPM) is a system-level design technique that is used to reduce energy by enhancing the overall performance of the processor. In this paper, we address the issue of system-level higher task dissipation during the execution of parallel workloads with common deadlines by introducing a machine learning-based framework that includes task migration using energy-efficient earliest deadline first scheduling (EA-EDF). ML-based EA-EDF enhances the overall throughput and optimizes the energy to avoid delay and performance degradation in a multiprocessor system. The proposed system model allocates processors… More >

Ahmed M. Dardeer^1,2,3,#, Victoria M. Stoll^1,2,#, Boyang Liu^1,2, William E. Moody^1,2, Colin D. Chue¹, Paul Clift^1,2, Roman Wesolowski⁴, Lucy E. Hudsmith¹, Richard P. Steeds^1,2,*

Congenital Heart Disease, Vol.20, No.1, pp. 27-39, 2025, DOI:10.32604/chd.2025.059729 - 18 March 2025

Abstract Background: Patients with unrepaired Ebstein’s anomaly experience exercise intolerance, heart failure and premature mortality. Volumetric assessment of right ventricular function is difficult due to the complex anatomy of the right ventricle and tricuspid valve. Myocardial deformation indices are an early marker in other cardiac pathologies of ventricular dysfunction. Objectives: 1. Assess myocardial deformation in unrepaired Ebstein’s compared to healthy controls. 2. Investigate the relationships between myocardial deformation and exercise capacity. Methods: Myocardial deformation parameters (strain) were calculated using feature tracking from standard cardiac magnetic resonance cine images. Cardiopulmonary exercise results were included where available. Results: 36 patients… More >

Qiming Ma, Fanliang Bu^*, Rong Wang, Lingbin Bu, Yifan Wang, Zhiyuan Li

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5169-5184, 2025, DOI:10.32604/cmc.2025.061187 - 06 March 2025

Abstract Speech-face association aims to achieve identity matching between facial images and voice segments by aligning cross-modal features. Existing research primarily focuses on learning shared-space representations and computing one-to-one similarities between cross-modal sample pairs to establish their correlation. However, these approaches do not fully account for intra-class variations between the modalities or the many-to-many relationships among cross-modal samples, which are crucial for robust association modeling. To address these challenges, we propose a novel framework that leverages global information to align voice and face embeddings while effectively correlating identity information embedded in both modalities. First, we jointly… More >

Haydar Abdulameer Marhoon^1,2,*, Rafid Sagban^3,4, Atheer Y. Oudah^1,5, Saadaldeen Rashid Ahmed^6,7

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4181-4218, 2025, DOI:10.32604/cmc.2025.058822 - 06 March 2025

Abstract In order to address the critical security challenges inherent to Wireless Sensor Networks (WSNs), this paper presents a groundbreaking barrier-based machine learning technique. Vital applications like military operations, healthcare monitoring, and environmental surveillance increasingly deploy WSNs, recognizing the critical importance of effective intrusion detection in protecting sensitive data and maintaining operational integrity. The proposed method innovatively partitions the network into logical segments or virtual barriers, allowing for targeted monitoring and data collection that aligns with specific traffic patterns. This approach not only improves the diversit. There are more types of data in the training set,… More >