Wear analysis and optimization of nanoclay and copper coated carbon fiber strengthened hybrid aluminium composite by N. Senthilkumar, K. Gajalakshmi, K. Palanikumar, B. Deepanraj, Abdul Rahman Afzal

“…The ANOVA reveals that sliding speed was the most significant factor, contributing 74.88 % to the grey relational grade (GRG), 10.09 % to the nanoclay reinforcement, and 8.32 % to the axial load, with an R2 value of 95.21 %. The predicted GRG (0.973) lies within the computed confidence interval (CI) values of 0.790 and 1.156. …”
Get full text

Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

“…Machine learning models were applied to predict mechanical properties, in which random forest (RF) model exhibited the best performance and further validated by a new experimental sample of Zn‐0.05Mg‐0.5Mn, with the mean absolute percentage error (MAPE) less than 10%. …”
Get full text

Lightweight CNN-based seizure classification via leveraging chimera states in iEEG recordings by Fatemeh Azad, Saeed Bagheri Shouraki, Soheila Nazari, Mansun Chan

“…These states provide a potential tool for predicting and detecting epileptic seizures. Effective detection and classification of chimera states in intracranial electroencephalography (iEEG) signals are critical for improving patient outcomes and deepening our understanding of neurological disorders. …”
Get full text

Identification and validation of susceptibility modules and hub genes of adrenocortical carcinoma through WGCNA and machine learning by Yaoming Yang, Xinbao Wang, Liuqing Wu, Shihua Zhao, Ran Chen, Guoyong Yu

“…Additionally, the CIBERSORT algorithm was employed to predict immune cell infiltration in ACC. …”
Get full text

Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…Visual explanations achieved via the Eigen-CAM algorithm were also exploited to evaluate the reliability of the predictions. …”
Get full text

A New and Improved Sliding Mode Control Design Based on a Grey Linear Regression Model and Its Application in Pure Sine Wave Inverters for Photovoltaic Energy Conversion Systems by En-Chih Chang, Yeong-Jeu Sun, Chun-An Cheng

“…A traditional maximum power point tracking (MPPT) algorithm in such a case misclassifies and fail to locate the global extremes. …”
Get full text

Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn). by Samer Elsheikh, Ahmed Elbaz, Alexander Rau, Theo Demerath, Elias Kellner, Ralf Watzlawick, Urs Würtemberger, Horst Urbach, Marco Reisert

“…<h4>Results</h4>In the test dataset, the pipeline showed a drain detection accuracy of 0.97 (95% CI: 0.92 to 0.99), an agreement between predicted and ground truth coverage profiles of 0.86 (95% CI: 0.85 to 0.87) and a drain position classification accuracy of 0.88 (95% CI: 0.77 to 0.95) resulting in area under the receiver operating characteristic curve of 0.92 (95% CI: 0.85 to 0.99).…”
Get full text

Airflow Rate Control of Oscillating Water Column for Maximising Wave Energy Capture by Ali Salam Al-Khayyat, Ahmed A. Ouda, Mustafa Jameel Hameed

“…This issue is solved by controlling the airflow rate, where the peak waves is predicted and accordingly the airflow speed is reduced. …”
Get full text

Association of advanced lung cancer inflammation index with all-cause and cardiovascular mortality in US patients with asthma by Jiatao Li, Huanhuan Liu, Bin Xu

“…In addition, the results of the subgroup analyses were robust.ConclusionsThis cohort study demonstrated the higher accuracy of ALI in predicting mortality in asthma patients, highlighting its important clinical value of ALI in risk assessment and prognosis evaluation.…”
Get full text

Heart Rate Variability in Pulmonary Arterial Hypertension by Bishal Gyawali, Dominick Roto, Michael Lachant, R. James White, Daniel Lachant

“…HRV was calculated using MC10 proprietary algorithm. Baseline, follow up, and changes in heart rate and HRV (rest and sleep) were compared between the groups and correlated to clinical outcomes at 2 years. …”
Get full text

Using a graph to schematize the test results of mining dump trucks by Dianov V.A., Bokarev A.I., Kartashov A.B., Dubinkin D.M., Pashkov D.A.

“…This article proposes a demonstration of a method for processing a large amount of test data to be able to use the obtained result in product development systems, for example, for the potential development of a calculated-experimental method for predicting the resource of components of the supporting system. …”
Get full text

Building Thermal Comfort Research Based on Energy-Saving Concept by Feiran Xue, Jingyuan Zhao

“…In the experimental part, a model based on the concept of energy saving was designed to predict and analyze the energy consumption and thermal comfort effects of the building. …”
Get full text

Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography by Arpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, Florian Kordon, Siming Bayer, Stephan Achenbach, Andreas Maier

“…The proposed deep learning model accurately predicts cardiac anatomy for cine acquisitions, enabling the potential for quick and automatic selection of imaging parameters to optimize image quality and reduce radiation exposure. …”
Get full text

Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

“…Reducing the target classes from seven to four was found to considerably improve the accuracy of the predictions. Our findings contribute to distinguishing agroforests from forests at a large scale, providing insights into previously undetected tree-covered land uses and thus informing on sustainable ecosystem management. …”
Get full text

FORMATION OF RUSSIAN NATIONAL IDENTITY OF HIGH SCHOOL STUDENTS: HERMENEUTICAL APPROACH by Alfia F. Zakirova, Larissa A. Semenova

“…It is proved that the awareness of participants of the educational process in norms and values and their reinterpretation in the aspect of the search for a general national identity is able not just to make «expressible» some installations of the subject, but also can significantly affect his worldview, to make him more reliable and predictable partner of a social interaction. The basis of this outlook is the dialectics of thinking, the simultaneous vision of individual and social, ethnic and civil plans of consciousness and behavior.Scientific novelty. …”
Get full text

Grey-Box Modelling of District Heating Networks Using Modified LPV Models by Olamilekan E. Tijani, Sylvain Serra, Patrick Lanusse, Rachid Malti, Hugo Viot, Jean-Michel Reneaume

“…Given the dynamic nature of DHNs and the challenges in predicting disturbances, a dynamic real-time optimisation (DRTO) approach is proposed. …”
Get full text

AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis. by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…We further demonstrate that the ICM exhibits a specific time window of sensitivity to exogenous FGF4, enabling lineage proportions to be adjusted based on timing and dosage, thereby extending current experimental findings and providing quantitative predictions for both mutant and wild-type ICM systems. …”
Get full text

Geo-Information Modeling for Determining the Movement of Human Capital by R. V. Fattakhov, P. V. Stroev, M. M. Nizamutdinov, O. V. Pivovarova, M. I. Akhmetzyanova

“…The results of the research make it possible to predict the level of attractiveness of municipalities in the short and medium term, depending on the chosen governance strategy and also allow zoning of municipalities by groups. …”
Get full text

The effect of lipid accumulation product and its interaction with other factors on hypertension risk in Chinese Han population: A cross-sectional study. by Jian Song, Yingying Zhao, Sumei Nie, Xue Chen, Xuesen Wu, Jing Mi

Get full text

The CD163 + tissue-infiltrating macrophages regulate ferroptosis in thyroid-associated ophthalmopathy orbital fibroblasts via the TGF-β/Smad2/3 signaling pathway by Xuemei Li, Siyi Wang, Hanwen Cao, Simin Xu, Chao Xiong, Jinhai Yu, Yunxiu Chen, Zhangjun Ren, Min Li, Ying Hu, Puying Gan, Qihua Xu, Yaohua Wang, Hongfei Liao

“…Finally, potential clinical drugs targeting CD163 + macrophages with high ferroptosis activity in TAO were predicted using the Random Walk with Restart (RWR) algorithm combined with the DGIdb database. …”
Get full text