SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…At the same time, despite capturing complex price dynamics, machine learning and deep learning approaches often face the risk of overfitting. …”
Get full text

Effect of Carboxymethyl chitosan-sodium alginate hydrogel loaded with Astragalus membranaceus-Panax notoginseng on wound healing in rats by Jing Li, Jing Li, Linai Li, Yue Yu, Ruixin Qin, Chaoyan Yu, Chen Chen, Youming Dong, Yadong Tan, Yunen Liu, Xuanli Liu

Get full text

A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

“…The integration of artificial intelligence enhances the ability to analyze complex datasets, allowing for more precise adjustments in field operations. …”
Get full text

Investigation of the amino acid composition of gluten-free biscuit with carob by S. S. Zyuzina, M. D. Shchelkova, Yu. V. Ushakova, G. E. Rysmukhambetova

“…When developing the recipe for gluten-free products, special attention was paid to the protein composition of the raw materials and the calculation of the amino acid score, since the lack of a certain amino acid affects the ability of gluten formation during the kneading process. …”
Get full text

A study of rare earth elements enriched carbonisation material prepared from Dicranopteris pedata biomass grown in mining area by Liujun Feng, Zhiqiang Chen, Haiyan Wang, Zhibiao Chen, Zuliang Chen, Jianhua Liu, Yuee Zeng

“…These amounts were better than that of REEs-C prepared at 600 °C (REEs/C-6 (67.0%)). Characterisation analysis confirmed that rich functional groups like aromatic, hydroxyl and C = C/C-C in REEs/C-4 provided more chelation sites to effectively complex with Pb(II), while the superior removal capacity of REEs/C-8 resulted from the enrichment of more REEs and abundant pore structure. …”
Get full text

Research on Automatic Tracking and Size Estimation Algorithm of “Low, Slow and Small” Targets Based on Gm-APD Single-Photon LIDAR by Dongfang Guo, Yanchen Qu, Xin Zhou, Jianfeng Sun, Shengwen Yin, Jie Lu, Feng Liu

“…It is of practical significance to comprehensively improve the ability of UAV detection and C-UAS systems. However, the application of this technology in complex backgrounds, especially in occlusion or multi-target tracking, still faces certain challenges. …”
Get full text

Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG by Jie Zhang, Yihui Zhao, Fergus Shone, Zhenhong Li, Alejandro F. Frangi, Sheng Quan Xie, Zhi-Qiang Zhang

“…Musculoskeletal models have been widely used for detailed biomechanical analysis to characterise various functional impairments given their ability to estimate movement variables (i.e., muscle forces and joint moments) which cannot be readily measured in vivo. …”
Get full text

Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…The greatest interest in the field is represented by artificial neural networks, in particular, networks based on deep learning due to the ability of the latter to work effectively with complex and multidimensional databases, coupled with the increasing availability of databases and performance of graphics processors. …”
Get full text

A contemporary view of the mechanisms of formation of new contaminants in vegetable oils – esters of monochloropropanediols and high molecular weight carboxylic acids by E. A. Butina, I. A. Dubrovskaya, E. O. Gerasimenko, S. A. Kalmanovich

“…According to the degree of increase in inhibitory ability, the most applicable antioxidants in lipid systems can be ranked as follows: α-tocopherol, BOA, BOT, AP, PG and TBHQ. …”
Get full text

Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…However, ANN-based approaches often require complex development and lengthy training periods, making their implementation a challenge. …”
Get full text

Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

“…However, both types of boosting algorithms struggle with the analysis of complex feature sets, the enhancement of weak learners, and the handling of larger datasets. …”
Get full text

Study on the Corrosion Evolution and Mechanical Properties of Q420qENH Weathering Steel in Marine Atmospheric Conditions by CHENG Haigen, ZOU Peng, ZHENG Shangmin, GONG Hanlong, WU Tianwen

“…With the continuous development of weathering steel in the field of bridges in recent years，there have been numerous cases of weathering steel being used without coating， but the service environment for weathering steel needs to be studied， especially in the complex environment such as highly corrosive marine atmosphere.Therefore， taking Q420qENH steel used in the Zangmu Yarlung Zangbo River extra-large bridge as the research object， the marine atmospheric corrosion environment was simulated using an electrolytic accelerated corrosion test.The corrosion behavior of Q420qENH in this environment and the reduction in the mechanical properties of the weathering steel base metal and its butt joint after corrosion were investigated.Based on the corrosion kinetics， morphology evolution of the rust layer， phase composition， the acceleration effect of the electrolytic corrosion test， and the reduction in mechanical properties， a multi-angle comprehensive analysis was conducted.Results showed that the corrosion rate of Q420qENH in the marine atmosphere increased initially and then decreased.The weathering steel primarily relied on Fe3O4 to form a thick， slightly dense rust layer， which prevented direct erosion of the substrate by water， oxygen and pollutants in the atmospheric environment.However， the surface rust layer was loose and porous， limiting its ability to prevent the invasion of corrosive media.Additionally， it was difficult for Q420qENH to form a dense surface rust layer in the marine atmospheric corrosion environment.The corrosion grade was between C3 and C4， and it was concluded that Q420qENH was unsuitable for coating-free use in such environments.In terms of mechanical properties， the degrees of reduction in yield strength， tensile strength and elongation of the base metal of the weathering steel and its butt joint after 4，8 and 14 h of corrosion gradually increased compared to those without corrosion.However， after 14 h of accelerated corrosion， the yield strength and tensile strength remained above 360 MPa and 466 MPa， respectively， with the mechanical strength still at a high level.…”
Get full text

Unsupervised evaluation of pre-trained DNA language model embeddings by Raghav Awasthi, Gayan Samuditha Mend Mend Arachchige, Xiaofeng Zhu

“…Abstract Background DNA Language Models (DLMs) have generated a lot of hope and hype for solving complex genetics tasks. These models have demonstrated remarkable performance in tasks like gene finding, enhancer annotation, and histone modification. …”
Get full text

Predictors of intention to sign an organ donor card among Iranian clinical nurses: an application of the expanded organ donation model by Sajjad Abdolmaleki, Sanaz Khalili, Mahnaz Farzian, Sahar Khoshravesh

“…SPSS software version 26 was used for data analysis. The significance level was considered to be p < 0.05. …”
Get full text

Nanomedicine-driven tumor glucose metabolic reprogramming for enhanced cancer immunotherapy by Chenwei Jiang, Minglu Tang, Yun Su, Junjie Xie, Qi Shang, Mingmei Guo, Xiaoran An, Longfei Lin, Ruibin Wang, Qian Huang, Guangji Zhang, Hui Li, Feihu Wang

Get full text

Insights into Natural Products from Marine-Derived Fungi with Antimycobacterial Properties: Opportunities and Challenges by Muhammad Azhari, Novi Merliani, Marlia Singgih, Masayoshi Arai, Elin Julianti

“…Despite efforts to develop effective therapies, existing treatments require a relatively long duration of therapy to eradicate the pathogen due to its virulence factors, pathogenesis patterns, and ability to enter dormant states. This can lead to a higher risk of treatment failure due to poor patient adherence to the complex regimen. …”
Get full text

Methods for Detection, Extraction, Purification, and Characterization of Exopolysaccharides of Lactic Acid Bacteria—A Systematic Review by Manoj Kumar Yadav, Ji Hoon Song, Robie Vasquez, Jae Seung Lee, In Ho Kim, Dae-Kyung Kang

“…Exopolysaccharides (EPSs) are large-molecular-weight, complex carbohydrate molecules and extracellularly secreted bio-polymers released by many microorganisms, including lactic acid bacteria (LAB). …”
Get full text

Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“… Accurate solar radiation prediction leverages various machine learning techniques, with artificial neural networks (ANN) being the most common and precise due to their ability to detect and learn relationships between meteorological variables and solar radiation. …”
Get full text

Evaluation of Risk Management Maturity in the Czech Automotive Industry: Model and Methodology by Marek Čech, Martin Januška

“…Originality/value: As risk management is complex, maturity models provide companies with the ability to assess their situation and set strategic goals in the field of risk management. …”
Get full text

Artificial intelligence in urban science: why does it matter? by Xinyue Ye, Tan Yigitcanlar, Michael Goodchild, Xiao Huang, Wenwen Li, Shih-Lung Shaw, Yanjie Fu, Wenjing Gong, Galen Newman

“…Urban science reciprocally contributes to AI development by embedding contextual awareness and human-centric insights, enhancing AI’s ability to navigate urban complexities. Examples include digital twins for real-time urban analysis and generative AI for inclusive urban modelling. …”
Get full text