MAGDALENA WILCZAK^1,2,#, MAGDALENA SURMAN^1,#,*, MAłGORZATA PRZYBYłO^1,*

Oncology Research, Vol.33, No.2, pp. 245-262, 2025, DOI:10.32604/or.2024.055449 - 16 January 2025

Abstract Angiogenesis, the expansion of pre-existing vascular networks, is crucial for normal organ growth and tissue repair, but is also involved in various pathologies, including inflammation, ischemia, diabetes, and cancer. In solid tumors, angiogenesis supports growth, nutrient delivery, waste removal, and metastasis. Tumors can induce angiogenesis through proangiogenic factors including VEGF, FGF-2, PDGF, angiopoietins, HGF, TNF, IL-6, SCF, tryptase, and chymase. This balance is disrupted in tumors, and extracellular vesicles (EVs) contribute to this by transferring proangiogenic factors and increasing their expression in endothelial cells (ECs). Malignant melanoma, a particular type of skin cancer, accounts for More >

ZHENGYANG ZHOU^1,#, LEI QIAO^1,#, TONGTONG WANG¹, WEN PAN¹, JINGJING DUAN¹, HAIYANG ZHANG², TING DENG¹, YI BA^1,*, YI HE^1,*

Oncology Research, Vol.33, No.2, pp. 327-345, 2025, DOI:10.32604/or.2024.050431 - 16 January 2025

Abstract Background: Patients with gastric cancer (GC) are prone to lymph node metastasis (LNM), which is an important factor for recurrence and poor prognosis of GC. Nowadays, more and more studies have confirmed that exosomes can participate in tumor lymphangiogenesis. An in-depth exploration of the pathological mechanism in the process of LNM in GC may provide effective targets and improve the diagnosis and treatment effect. Materials and Methods: We used sequencing analysis of collected serum to screen out exo-miRNA related to LNM in GC. ELISA, qRT-PCR, Western Blot, RNA pull-down assay, Transwell assay, animal experiments, and other… More > Graphic Abstract

Muhammad Salahuddin Mohamad Shahrul Annuar, Nabilah Naharudin^*, Nur Aina Adiela Azmi, Nafisah Khalid

Revue Internationale de Géomatique, Vol.34, pp. 53-69, 2025, DOI:10.32604/rig.2025.058078 - 13 January 2025

Abstract Tourism trails connect destinations, points of interest, and travel-related businesses. By enhancing connectivity, these trails reduce travel time, allowing tourists to maximize their exploration of sites, leading to more efficient and satisfying travel experiences. The rising popularity of e-scooters in urban areas has highlighted the need to identify safe and accessible routes, particularly in cities where safety concerns have led to restrictions. Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) network analysis can be employed to determine optimal paths by considering multiple criteria. This study focuses on finding an optimal street art trail for… More >

Auriane Chelle^1,*, Johnny Douvinet^1,2

Revue Internationale de Géomatique, Vol.34, pp. 1-20, 2025, DOI:10.32604/rig.2024.054737 - 13 January 2025

Abstract Cet article propose une analyse séparée puis combinée de trois procédures administratives qui servent de référence pour cartographier les communes à risque inondation en France hexagonale (i.e., les arrêtés de catastrophes naturelles (CatNat), les Dossiers Départementaux des Risques Majeurs (DDRM) et les Plans de Prévention du Risque Inondation (PPRi)). Deux questions sont posées : quels enseignements peut-on tirer de l’analyse de la couverture spatiale de chacune des procédures, et en les combinant, peut-on voir des effets de seuils ou des jeux d’échelle ? Si les arrêtés CatNat sont révélateurs d’une saisonnalité des inondations et d’une More > Graphic Abstract

Tabassum Kanwal¹, Saif Ur Rehman^1,*, Azhar Imran², Haitham A. Mahmoud³

Computer Systems Science and Engineering, Vol.49, pp. 185-212, 2025, DOI:10.32604/csse.2024.056535 - 10 January 2025

Abstract This study presents an energy-efficient Internet of Things (IoT)-based wireless sensor network (WSN) framework for autonomous data validation in remote environmental monitoring. We address two critical challenges in WSNs: ensuring data reliability and optimizing energy consumption. Our novel approach integrates an artificial neural network (ANN)-based multi-fault detection algorithm with an energy-efficient IoT-WSN architecture. The proposed ANN model is designed to simultaneously detect multiple fault types, including spike faults, stuck-at faults, outliers, and out-of-range faults. We collected sensor data at 5-minute intervals over three months, using temperature and humidity sensors. The ANN was trained on 70%… More >

Khadija Manzoor¹, Fiaz Majeed², Ansar Siddique², Talha Meraj³, Hafiz Tayyab Rauf^4,*, Mohammed A. El-Meligy⁵, Mohamed Sharaf⁶, Abd Elatty E.Abd Elgawad⁶

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1459-1459, 2025, DOI:10.32604/cmc.2024.061588 - 03 January 2025

Abstract This article has no abstract. More >

Alireza Moradi, Alireza Shaterzadeh^*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 223-257, 2025, DOI:10.32604/cmc.2024.059441 - 03 January 2025

Abstract For the first time, the linear and nonlinear vibrations of composite rectangular sandwich plates with various geometric patterns of lattice core have been analytically examined in this work. The plate comprises a lattice core located in the middle and several homogeneous orthotropic layers that are symmetrical relative to it. For this purpose, the partial differential equations of motion have been derived based on the first-order shear deformation theory, employing Hamilton’s principle and Von Kármán’s nonlinear displacement-strain relations. Then, the nonlinear partial differential equations of the plate are converted into a time-dependent nonlinear ordinary differential equation… More >

Ali Alqarni^*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 389-406, 2025, DOI:10.32604/cmc.2024.059238 - 03 January 2025

Abstract Open networks and heterogeneous services in the Internet of Vehicles (IoV) can lead to security and privacy challenges. One key requirement for such systems is the preservation of user privacy, ensuring a seamless experience in driving, navigation, and communication. These privacy needs are influenced by various factors, such as data collected at different intervals, trip durations, and user interactions. To address this, the paper proposes a Support Vector Machine (SVM) model designed to process large amounts of aggregated data and recommend privacy-preserving measures. The model analyzes data based on user demands and interactions with service More >

Min-kyeong Kim¹, Yeong Geol Lee², Won-Hee Park^2,*, Su-hwan Yun², Tae-Soon Kwon², Duckhee Lee²

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1277-1293, 2025, DOI:10.32604/cmc.2024.058386 - 03 January 2025

Abstract Urban railways are vital means of public transportation in Korea. More than 30% of metropolitan residents use the railways, and this proportion is expected to increase. To enhance safety, the government has mandated the installation of closed-circuit televisions in all carriages by 2024. However, cameras still monitored humans. To address this limitation, we developed a dataset of risk factors and a smart detection system that enables an immediate response to any abnormal behavior and intensive monitoring thereof. We created an innovative learning dataset that takes into account seven unique risk factors specific to Korean railway More >

Rahma Gantassi, Zaki Masood, Yonghoon Choi^*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 327-343, 2025, DOI:10.32604/cmc.2024.058143 - 03 January 2025

Abstract Wireless sensor network (WSN) technologies have advanced significantly in recent years. Within WSNs, machine learning algorithms are crucial in selecting cluster heads (CHs) based on various quality of service (QoS) metrics. This paper proposes a new clustering routing protocol employing the Traveling Salesman Problem (TSP) to locate the optimal path traversed by the Mobile Data Collector (MDC), in terms of energy and QoS efficiency. To be more specific, to minimize energy consumption in the CH election stage, we have developed the M-T protocol using the K-Means and the grid clustering algorithms. In addition, to improve More >