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. …”
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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. …”
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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. …”
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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).…”
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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. …”
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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.…”
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Assessing the Impact of Land Use and Land Cover Change on Environmental Parameters in Khyber Pakhtunkhwa, Pakistan: A Comprehensive Study and Future Projections by Mehjabeen Khan, Ruishan Chen

“…Projections for 2100 predict LST rising to 55.3 °C, with NDVI, MNDWI, and NDMI dropping to 0.36, 0.17, and 0.21, respectively. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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

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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. …”
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The role of intracellular signaling in the stripe formation in engineered Escherichia coli populations. by Xiaoru Xue, Chuan Xue, Min Tang

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Automatic two-wheeler rider identification and triple-riding detection in surveillance systems using deep-learning models by Uttam U. Deshpande, Supriya Shanbhag, Rudragoud Patil, Ramchandra Alias Ameet Chate, Sufola Das Chagas Silva Araujo, Kevin Pinto, J. Arjun, Mayankraj Patil, Balagouda Nirwani

“…To address challenging environments like occlusions and precise vehicle detection from a long distance we use the ResNet18-based DetectNet_v2 model. To reliably predict triple riding from several riders sitting on a two-wheeler and extract license plate information, we employ a cutting-edge YOLOv8 object-detection algorithm that operates on the Darknet framework. …”
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