Expanding the Role of Heparin Derivatives in Oncology: From Anticoagulation to Antitumor Activity by Jasmine Holail, Hatouf Husni Sukkarieh, Ahmad Aljada

“…Future studies must address dose optimization, combination strategies, and controlled clinical trials to determine the full therapeutic potential of these compounds in clinical oncology.…”
Get full text

A New Configuration Diplexer for RF Harvesting Applications by Bakkali Ahmed, Zbitou Jamal, El Gibari Mohammed, Oukaira Aziz, Samira Khoulji

“…Such separation is essential for achieving maximum energy harvesting efficiency by reducing interference between bands and allowing the implementation of optimized rectifier circuits tailored to each band. …”
Get full text

Fault diagnosis model of rolling bearings based on the M-YOLO network by NING Shaohui, ZHANG Shaopeng, WU Yukun, DU Yue, FAN Xiaoning

“…The rolling bearing is taken as the research object, and the fault diagnosis algorithm with two-dimensional signal as the input is studied, and the fault diagnosis model of rolling bearing based on M-YOLO network is constructed for the problems of multi-condition fault diagnosis, small data sample, and long model training time.MethodsFirstly, the mosaic data augmentation method was used to enrich the samples to improve the interference of unbalanced data on the diagnostic results. …”
Get full text

DEVELOPMENT OF AN LADRC-BASED TILLAGE DEPTH CONTROL SYSTEM FOR ELECTRIC ROTARY TILLER by Bin Chen, Wei Tao, Xinkun Yang, Shaoye Ke, Shenghong Huang

“…These results confirm that the LADRC-based system effectively minimizes interference during rotary-tiller operation, ensuring the stability and reliability of tillage depth control.…”
Get full text

Enhanced Extraction of Activation Time and Contractility From Myocardial Strain Data Using Parameter Space Features and Computational Simulations by Borut Kirn

“…A computational model enables the extraction of two critical myocardial tissue properties: activation time (AT) and contractility (Con) from recorded cardiac strains. However, interference between these parameters reduces the precision and accuracy of the extraction process. …”
Get full text

Counting efficiency in gamma-ray spectrometry with different sample volumes for the same geometry by Marcelo Bessa Nisti, Marcelo Francis Máduar, Sandra Regina Damatto, Marcos Medrado de Alencar

“…The proposed method could be useful as a tool for laboratories, dealing with of samples on a routine basis, by reducing the cost on the purchase of another counting geometry and optimizing the use of the detection system, thus improving their performance.…”
Get full text

Study of the Engineering Design of a Single-Cylinder High-Pressure Steam Engine with a Corliss Valve Gear by José Ignacio Rojas-Sola, Santiago Sánchez-García

“…This symmetry is essential to ensure that forces and movements are distributed evenly during the steam exchange within the cylinder, allowing for more balanced work, reduced vibrations, and the optimization of the overall efficiency of the invention.…”
Get full text

Analyzing Students’ Difficulties in Learning Nahwu and Effective Pedagogical Solutions: A Psycholinguistic Approach by Segaf Baharun

“…However, many students struggle with understanding and applying nahwu rules due to cognitive overload, first-language interference, and psychological barriers such as grammar anxiety and lack of motivation. …”
Get full text

Spectrophotometer Determination of Cefixime in pure form and pharmaceutical preparation by Using Cloud point Extraction by Esraa Kadhim et al.

“…All variables including the reagent concentration, reaction time, colour stability period, and mole ratio were studied in order to optimize the reaction conditions. The composition of product (1:1). …”
Get full text

Study on real-time warning system of blind path for the visually impaired based on improved deep residual shrinkage network by Zhezhou Yu, Fuwang Wang

“…DB-DRSN replaces the convolutional hidden layer in the original residual shrinkage module with dense blocks and integrates dense connections to optimize the use of both shallow and deep features. …”
Get full text

Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

“…The Marine Fusion Loss (MFL) mechanism optimizes detection weight allocation among different pollutant categories, reducing false positives. …”
Get full text

Advancements and Future Directions of Automotive Radar in Autonomous Vehicles by Chen Zhiyuan

“…Despite their synergy, challenges persist: LiDAR’s susceptibility to weather interference and high costs, millimeter-wave radar’s limited angular resolution, and ultrasonic radar’s range constraints. …”
Get full text

Advanced Wearable Devices for Monitoring Sweat Biochemical Markers in Athletic Performance: A Comprehensive Review by Graziana Assalve, Paola Lunetti, Alessandra Di Cagno, Ernesto William De Luca, Stefano Aldegheri, Vincenzo Zara, Alessandra Ferramosca

“…Wearable technology has advanced significantly, offering real-time monitoring of athletes’ physiological parameters and optimizing training and recovery strategies. Recent developments focus on biosensor devices capable of monitoring biochemical parameters in addition to physiological ones. …”
Get full text

Construction of a digital twin model for incremental aggregation of multi type load information in hybrid microgrids under integrity constraints by Yibo Lai, Libo Fan, Weiyan Zheng, Rongjie Han, Kai Liu

“…Abstract In the multi type load information of hybrid microgrids, data loss or incompleteness may occur due to network congestion, signal interference, equipment failures, and other reasons. …”
Get full text

A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition by Jian Wang, Yanan Zhou, Qi He, Wenbo Zhang

“…Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. …”
Get full text

Research on health monitoring of concrete structure based on G-S-G by Jiaqi Wang, Hongbi Kang, Kexin Li

“…Abstract An improved concrete structure health monitoring method based on G-S-G is proposed, which fully combines an optimized Gray-Level Co-occurrence Matrix (GLCM) with an improved Self-Organizing Map (SOM) neural network to achieve accurate and real-time concrete structure health monitoring. …”
Get full text

Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks by Chaoan Lai, Yina Wang, Jianhua Zhu, Xuequan Zhou

“…These components are then predicted using a multi-factor LSTM model optimized by improved particle swarm optimization, with the results aggregated for the final forecast. …”
Get full text

RRFNet: A free-anchor brain tumor detection and classification network based on reparameterization technology. by Wei Liu, Xingxin Guo

“…Compared with YOLOv8, RRFNet achieved a higher accuracy in brain tumor detection, with a mAP value of 79.2%. This optimized approach enhances both accuracy and efficiency, which is essential in clinical settings where time and precision are critical.…”
Get full text

Eyelid Dynamics Characterization with 120 GHz mmW Radar by Dominik Patscheider, Ruochen Wu, Antoni Broquetas, Albert Aguasca, Jordi Romeu

“…Simulations are conducted to support radar system optimization and data interpretation with a focus on detecting eyelid movement patterns and compensating for interference from other parts of the body. …”
Get full text

Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies by Feng Wang, M. Cenk Gursoy, Senem Velipasalar

“…We evaluate the jammer at the optimized location, generating interference attacks in the optimized set of channels by switching between the jamming phase and listening phase. …”
Get full text