A ResNet-based deep reinforcement learning framework using soft actor-critic for remaining useful life prediction of rolling bearings by Thanh Tung Luu, Duy An Huynh

“…Experimental results on the PHM 2012 dataset demonstrate that the proposed SAC-ResNet framework achieves superior accuracy and generalization performance, highlighting its potential as a promising alternative to traditional RUL estimation models.…”
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Characterization of neonates born to mothers with SARS-CoV-2 infection: Review and meta-analysis by Vanessa Neef, Horst Buxmann, Holger F. Rabenau, Kai Zacharowski, Florian J. Raimann

“…A systematic literature search was performed using PubMed, Google Scholar and Web of Science up to June, 6 2020. …”
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Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns by Zeeshan Ali, Jihoon Moon, Saira Gillani, Sitara Afzal, Muazzam Maqsood, Seungmin Rho

“…The experimentation is performed on the publicly available KOA–PD–normal dataset comprising gait videos with various abnormalities, and the proposed model has the highest accuracy of approximately 94.81%.…”
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A novel asymmetric form of the power half-logistic distribution with statistical inference and real data analysis by Amal S. Hassan, Najwan Alsadat, Mohammed Elgarhy, Laxmi Prasad Sapkota, Oluwafemi Samson Balogun, Ahmed M. Gemeay

“…To be more specific, we created an innovative two-parameter lifetime model called the sine power half-logistic distribution (SPHLD) by using features from the sine-generated family of distributions. …”
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Partial Discharge Localization Method Based on UHF Wireless Sensor Array in Air-insulated Substation by Shuai YAN, Pengyu LI, Gaojie WANG, Qiang LI, Fan WU, Lingen LUO

“…Meanwhile, to mitigate the multipathing and shadowing effects in modeling the UHF signal attenuation, it is proposed to use the GPC algorithm to learn the UHF signal features under different transmission paths so as to generate decision-making regions for identifying the RSSI values that are consistent with the signal attenuation model, and as a result, the localization accuracy is improved. …”
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Short Term Photovoltaic Power Combination Prediction Method Based on Similar Day Selection and Data Reconstruction by Qingbin CHEN, Genghuang YANG, Liqing GENG, Juan SU, Jingsheng SUN

“…Firstly, clustering analysis of photovoltaic power is performed using the kernel fuzzy C-means algorithm, and the main influencing features are extracted through the maximum information coefficient. …”
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Validation and Discriminant Analysis of the Athens Insomnia Scale in Older Adults by Huseyin Elbi, Melike Batum, Ece Ozlem Oztürk, Merve Vatansever Balcan, Ayşin Kisabay Ak, Hikmet Yilmaz, Omer Aydemir

“…Besides, known group analyses were performed for demographic features such as age and education variables, and diagnostic groups were analyzed. …”
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Revisiting the Chemical Composition of WD 1145+017: Impact of Circumstellar Disk Contamination on Photospheric Abundances by Érika Le Bourdais, Patrick Dufour, Siyi Xu

“…We present an updated gas disk model with improved opacity calculations and temperature profiles to properly account for all circumstellar absorption features. …”
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Transcriptomic and proteomic integrated analysis reveals molecular mechanisms of 3D bioprinted vaginal scaffolds in vaginal regeneration by Xuemei Zhang, Jiahua Zheng, Liye Zhang, Jingkun Zhang, Li Feng, Lin Zhang, Xianghua Huang

“…This study aims to explore the transcriptomic and proteomic features of vaginal tissue reconstructed with 3D bioprinted scaffolds. …”
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Magnetic Resonance Imaging Lesions Associated With Paroxysmal Sympathetic Hyperactivity After Traumatic Brain Injury by Jamie E. Podell, Eric W. Moffet, Uttam K. Bodanapally, Mehrnaz Pajoumand, Luisa M. Silva, Peter Hu, Lujie K. Chen, Nicholas A. Morris, Gunjan Parikh, Gary T. Schwartzbauer, Bizhan Aarabi, Neeraj Badjatia

“…PSH-AM scores were compared using non-parametric tests according to lesion presence in each region and sequence. Imaging features independently associated with PSH-AM scores were ascertained from multivariable linear regression models using backwards elimination feature selection. …”
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Enhanced Virtual Synchronous Machine With Online Grid Impedance Estimation by Alessandro Roveri, Vincenzo Mallemaci, Fabio Mandrile, Radu Bojoi

“…Therefore, this article proposes a closed-loop grid impedance estimator, specifically designed for VSM applications, which is directly integrated into the VSM model. The grid resistance and inductance estimations are performed in real time, without the need of data elaboration through complex mathematical tools, which are usually required by methods available in the literature. …”
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Determination of FMDV 146S particle concentration by spectrometric method during viral RNA quantification by M. I. Doronin, D. V. Mikhalishin, V. A. Starikov, D. A. Lozovoy, Yu. S. El’kina, A. V. Borisov

“…During FMD vaccine production, special attention is paid to the concentration of 146S particles bearing the critical biological features of FMDV and being the main components that have an effect on vaccine immunogenicity. …”
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From light sensing to adaptive learning: hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing by Bashayr Alqahtani, Hanrui Li, Abdul Momin Syed, Nazek El-Atab

“…The proposed devices exhibit (1) optoelectronic synaptic features and perform separate stimulus-associated learning, indicating considerable adaptive neuron emulation, (2) dual light-enabled charge-trapping and memcapacitive behavior within the same MOSCap device, whose threshold voltage and capacitance vary based on the light intensity across the visible spectrum, (3) memcapacitor volatility tuning based on the biasing conditions, enabling the transition from volatile light sensing to non-volatile optical data retention. …”
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Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms by Nikolaos Servos, Xiaodi Liu, Michael Teucke, Michael Freitag

“…We also show that our model performs better than average-based approaches.…”
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Genomic insights into the genetic basis of eagle‐beak jaw, large head, and long tail in the big‐headed turtle by Shiping Gong, Yan Ge, Yufeng Wei, Yangchun Gao

“…Although these unique characteristics are well recognized, the underlying genetic basis remains largely elusive. Here, we performed comparative genomic analysis between P. megacephalum and other representative species, aiming to reveal the genetic basis of the unique morphological features. …”
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Microscope-assisted, rodent whole heart perfusion fixation for histological characterization of myocardium remodeling by Cary Karcher, Anthony Campbell, Dov Levine, Morgan Moroi, Yaagnik Kosuri, Arianna Adamo, Giovanni Ferrari

“…Our non-survival, microscope-assisted surgical technique allows for robust and efficient fixation of the rodent myocardium, heart valves, and vasculature preserving precious features in preparatory steps for histological staining. • Optimized method to sample blood, exsanguinate and thoroughly perfuse fixative through the left and right side of the whole rodent heart. • Protocol is atraumatic to the ventricles and surrounding structures; Injections are into the inferior vena cava (IVC) and left atrium. • Performed using accessible microsurgical tools and aided by a dissecting light microscope.This novel method optimizes the preservation of rodent myocardium for histological study without the drawbacks of the current standard technique, which punctures the myocardium and inadequately evacuates blood products from the heart and vessels.…”
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The influence of light on fatigue in PZT films with planar electrodes by D. CZEKAJ, Z. SUROWIAK, V. P. DUDKIEVICH, I. M. SEM, E. V. SVIRIDOV

“…A set of fatigue measurements has been performed on RF-sputtered PZT films of about 2 μm in thickness. …”
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Pig tongue soft robot mimicking intrinsic tongue muscle structure by Yuta Ishikawa, Hiroyuki Nabae, Megu Gunji, Gen Endo, Koichi Suzumori

“…Based on these observations, we constructed a three-dimensional model and molded the pig tongue shape with silicone rubber and gel, embedding artificial muscles into the robot body. …”
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Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels by Binquan Li, Lishuang Gong, Qiao Wang, Xin Guo, Zhiqiang Li

“…Compared with the state of the art UDA methods, even with only one labeled RSI in the source domain, the proposed methods still perform better and achieve satisfying accuracy. It properly explores valuable knowledge from unlabeled RSIs and improves the robustness and flexibility of the model, which is more suitable for UDA with few source labels in RSIs scene classification.…”
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

“…To address this, five regression models were developed to predict VF measures from OCT, Shapley Additive exPlanations (SHAP) analysis was performed for interpretability, and a clinical software tool called OCT to VF Predictor was developed. …”
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