Khaldon Azzam Kordi¹, Mardeni Roslee^1,*, Mohamad Yusoff Alias¹, Abdulraqeb Alhammadi², Athar Waseem³, Anwar Faizd Osman⁴

CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.044890

Abstract This study comprehensively examines the current state of deep learning (DL) usage in indoor positioning. It emphasizes the significance and efficiency of convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Unlike prior studies focused on single sensor modalities like Wi-Fi or Bluetooth, this research explores the integration of multiple sensor modalities (e.g., Wi-Fi, Bluetooth, Ultra-Wideband, ZigBee) to expand indoor localization methods, particularly in obstructed environments. It addresses the challenge of precise object localization, introducing a novel hybrid DL approach using received signal information (RSI), Received Signal Strength (RSS), and Channel State Information (CSI) data to enhance accuracy and stability.… More >

XULONG SUN^1,#, WENTAO DING^2,#, CHAO JIANG³, ZHIAN FANG^4,*

BIOCELL, Vol., , DOI:10.32604/biocell.2024.050519

Abstract Introduction: Hepatocellular carcinoma (HCC), a prevalent malignancy, poses significant challenges with high tumor heterogeneity and poor prognosis. MicroRNAs (miRNAs) play a pivotal role in hepatocarcinogenesis. Although abnormalities in microRNA-557 (miR-557) expression have been implicated in various cancer types, its role in HCC remains unclear. Therefore, there is a need to explore the function of microRNA-557 in HCC. Methods: Candidate miRNAs were identified through screening in GSE108724 and GSE20077. Real-time PCR was employed to analyze the expression level of miR-557 in hepatoma cell lines and tissues. Cell viability and migration assays were applied to assess the impact of miR-557 on HCC… More > Graphic Abstract

MOHD ATHAR^1,*, ANU MANHAS², NISARG RANA², AHMAD IRFAN³

BIOCELL, Vol., , DOI:10.32604/biocell.2024.049891

Abstract Computational methods have significantly transformed biomedical research, offering a comprehensive exploration of disease mechanisms and molecular protein functions. This article reviews a spectrum of computational tools and network analysis databases that play a crucial role in identifying potential interactions and signaling networks contributing to the onset of disease states. The utilization of protein/gene interaction and genetic variation databases, coupled with pathway analysis can facilitate the identification of potential drug targets. By bridging the gap between molecular-level information and disease understanding, this review contributes insights into the impactful utilization of computational methods, paving the way for targeted interventions and therapeutic advancements… More >

Shengqiang Shi^1,2,*, Abdelatif Merabtine³, Rachid Bennacer⁴, Julien Kauffmann²

FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2024.050547

Abstract At present, air handling units are usually used indoors to improve the indoor environment quality. However, while introducing fresh air to improve air quality, air velocity has a certain impact on the occupants’ thermal comfort. Therefore, it is necessary to explore the optimization of air-fluid-body interaction dynamics. In this study, the indoor air flow was changed by changing the opening and closing degree of the blower, and the thermal manikin is introduced to objectively evaluate the human thermal comfort under different air velocities. The main experimental results show that the air change rate increases with the increase of the opening… More >

ELHAM SHAKIBA¹, SETI BOROOMAND², SIMA KHERADMAND KIA³, MEHDI HEDAYATI^4,*

Oncology Research, Vol., , DOI:10.32604/or.2024.049235

Abstract This review aimed to describe the inculpation of microRNAs (miRNAs) in thyroid cancer (TC) and its subtypes, mainly medullary thyroid carcinoma (MTC), and to outline web-based tools and databases for bioinformatics analysis of miRNAs in TC. Additionally, the capacity of miRNAs to serve as therapeutic targets and biomarkers in TC management will be discussed. This review is based on a literature search of relevant articles on the role of miRNAs in TC and its subtypes, mainly MTC. Additionally, web-based tools and databases for bioinformatics analysis of miRNAs in TC were identified and described. MiRNAs can perform as oncomiRs or antioncoges,… More > Graphic Abstract

ZHILI ZHUO^#, DONGNI ZHANG^#, WENPING LU^*, XIAOQING WU, YONGJIA CUI, WEIXUAN ZHANG, MENGFAN ZHANG

Oncology Research, Vol., , DOI:10.32604/or.2024.047257

Abstract Breast cancer is the leading cause of cancer-related deaths in women worldwide, with Hormone Receptor (HR)+ being the predominant subtype. Tamoxifen (TAM) serves as the primary treatment for HR+ breast cancer. However, drug resistance often leads to recurrence, underscoring the need to develop new therapies to enhance patient quality of life and reduce recurrence rates. Artemisinin (ART) has demonstrated efficacy in inhibiting the growth of drug-resistant cells, positioning art as a viable option for counteracting endocrine resistance. This study explored the interaction between artemisinin and tamoxifen through a combined approach of bioinformatics analysis and experimental validation. Five characterized genes (ar,… More > Graphic Abstract