Production and purification of methionine gamma-lyase from Iranian soil mulds: investigation of physicochemical properties and anticancer effects by Matin Nasirian, Ali Arab-SadeghAbadi, Mohsen Mobini-Dehkordi, Sadegh Farhadian

“…This study underscores the therapeutic potential of fungal-derived MGL as a novel anticancer agent, highlighting its ability to modulate apoptotic pathways and providing a foundation for future clinical applications.…”
Get full text

A lightweight MHDI-DETR model for detecting grape leaf diseases by Zilong Fu, Lifeng Yin, Can Cui, Yi Wang

“…This structure is designed to overcome the challenges of capturing complex high-level and subtle low-level features, and it uses Efficient Local Attention to focus more efficiently on regions of interest, thereby enhancing the model’s ability to detect complex targets while improving accuracy and inference speed. …”
Get full text

Engineering in NIR‐responsive photothermal materials and their application in wound healing administration by Alsharafi Bassam, Mengxuan Du, Yuan Li, Xiaojun He

“…This treatment relies on the PTAs's ability to efficiently convert specific wavelengths of light energy into heat upon absorption, thereby generating a thermal effect at the wound site. …”
Get full text

Noninvasive diagnostics for colorectal cancer: molecular genetic fecal DNA analysis by G. M. Butrovich, E. D. Mirlina, I. G. Habarova, O. A. Vostrukhina

“…This technological advance promises to increase the efficiency of the fecal DNA analysis and put the using of new clinical applications.…”
Get full text

Hierarchical data modeling: A systematic comparison of statistical, tree-based, and neural network approaches by Marzieh Amiri Shahbazi, Nasibeh Azadeh-Fard

“…Based on the 2019 National Inpatient Sample — comprising more than seven million records from 4568 hospitals across four U.S. regions — the models were assessed for their ability to predict length of stay at the patient, hospital, and regional levels. …”
Get full text

Synthesis, Characterization, and Investigation the Inhibitory Impact of Thiosemicarbazide Derivative toward the Corrosion of Mild Steel in Acidic Media by Nafeesa J. Kadhim, Muna Sarhan Sando, Farah Saadoon Jaafar, Iman M .M. Hasan

“…The most promising inhibitor action is at 0.5 g/L with an inhibition efficiency of 90.2%. Where it found that the adsorption process of HMHC obeys the Langmuir isotherm model. …”
Get full text

A comparative study of query strategies in Pareto active learning for heat treatment optimization of medium-Mn steel by Seung-Hyeon Kim, Jin-Young Lee, Young-Kook Lee

“…SHapley Additive exPlanations (SHAP) analysis confirmed the UCB-based model's ability to identify key relationships between processing parameters and mechanical properties. …”
Get full text

J-Aggregates of Amphiphilic Cyanine Dyes for Dye-Sensitized Solar Cells: A Combination between Computational Chemistry and Experimental Device Physics by M. S. A. Abdel-Mottaleb, Mohamed M. S. Abdel-Mottaleb, Hoda S. Hafez, Mona Saif

“…AFM surface topographic investigation of amphiphilic molecules of Dye 1 adsorbed on TiO2 anode reveals the ability of spontaneous self-organization into highly ordered aggregates of fiber-like structure. …”
Get full text

Numerical and analytical investigation of vapor flows in a flat plate heat pipe: Effects of length ratio and Reynolds number by M. Johari, H.A. Hoshyar, D.D. Ganji

“…The significance of this research lies in its ability to elucidate critical parameters that directly influence heat pipe performance, offering deeper insights that are vital for optimizing design and efficiency. …”
Get full text

Exploring the Potentials of Large Language Models in Vascular and Interventional Radiology: Opportunities and Challenges by Taofeeq Oluwatosin Togunwa, Abdulquddus Ajibade, Christabel Uche-Orji, Richard Olatunji

“…The discussion highlights LLMs' ability to analyze extensive medical literature, aiding radiologists in making informed decisions. …”
Get full text

Unsupervised Multivariate Time Series Data Anomaly Detection in Industrial IoT: A Confidence Adversarial Autoencoder Network by Jiahao Shan, Donghong Cai, Fang Fang, Zahid Khan, Pingzhi Fan

“…Extensive experimental results on publicly available time series datasets are provided to demonstrate the efficiency of our proposed CAAE. It reveals that excellent generalization ability and superior average performance are achieved on different datasets compared with the state-of-the-art methods.…”
Get full text

Improving Fire Extinguishing Properties of Class B Fire with Cellulose-Hydrogel from Water Hyacinth (Eichhornia crassipes) Extract by Surachat Sinworn, Nuttabodee Viriyawattana

“…As the temperature increases, the viscosity rises, enhancing the ability of hydrogel to coat the fuel surface and effectively prevent the production of flammable vapor. …”
Get full text

The role of microplastics as vectors of antibiotic contaminants via a molecular simulation approach by Sedigheh Abdollahi, Heidar Raissi, Farzaneh Farzad

“…Abstract Microplastics (MPs) and nanoplastics (NPs) have emerged as major environmental pollutants due to their persistence, widespread distribution, and ability to interact with organic contaminants, including antibiotics. …”
Get full text

Application of Machine Learning for Fuel Consumption and Emission Prediction in a Marine Diesel Engine Using Diesel and Waste Cooking Oil by Tadas Žvirblis, Kristina Čižiūnienė, Jonas Matijošius

“…Subsequently, we evaluated its ability to transfer by employing the parameters associated with waste cooking oil (WCO) biodiesel and its 60/40 diesel mixture. …”
Get full text

Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…These results indicate that MIHHO has significant performance advantages in path planning tasks and helps to improve the path planning efficiency and accuracy of mobile robots.…”
Get full text

Nanoengineered hydrogels disrupt tumor antioxidant defense via photothermal-chemodynamic synergy and oxidative stress boosts by Leiguang Ye, Yang Qiao, Peisan Wang, Wei Li, Xianwen Wang, Yiqun Zhang, Zhennan Yuan

“…The Ru-PC complex demonstrated exceptional photothermal conversion efficiency, enabling rapid intratumoral temperature elevation under 808 nm laser irradiation to achieve localized thermal ablation. …”
Get full text

<span style="font-variant: small-caps">DLMinTC+</span>: A Deep Learning Based Algorithm for Minimum Timeline Cover on Temporal Graphs by Giorgio Lazzarinetti, Riccardo Dondi, Sara Manzoni, Italo Zoppis

“…Extensive evaluations on synthetic and real-world datasets highlight <span style="font-variant: small-caps;">DLMinTC+</span>’s ability to achieve significant coverage size reduction while maintaining generalization, offering a scalable and precise solution for complex temporal networks.…”
Get full text

Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

“…Universities and schools rely heavily on the ability to forecast student performance, as it enables them to develop efficient strategies for enhancing academic results and averting student attrition. …”
Get full text

Fabrication of green synthesized lanthanum-doped bismuth ferrite perovskite type nanoparticles for photocatalytic removal of ibuprofen from aqueous solution by Rasmirekha Pattanaik, Rishabh Kamal, Debapriya Pradhan, Suresh Kumar Dash

“…The catalytic properties of the bio-synthesized La-BFO nanoparticles were then assessed by their ability to degrade under various laboratory conditions. …”
Get full text

Simplified MS2 phage-like particle production including a novel maturation protein internal fusion affinity tag by Enos C. Kline, Rose Duong, Qin Wang, Barry R. Lutz

“…These particles have biotechnological utility because of the ability to easily modify surface chemistry and compartmentalize nucleic acids or other materials. …”
Get full text