Origin and originality of John Calvin's 'Harmony of the Law', the expository project on Exodus-Deuteronomy (1559-1563) by E. A. de Boer

Get full text

The application of Vavilov’s approaches to the phylogeny and evolution of cultivated species of the genus <i>Avena</i> L. by I. G. Loskutov, A. A. Gnutikov, E. V. Blinova, A. V. Rodionov

Get full text

ON CALCULATING SUMS OF SOME DOUBLE SERIES by V. I. Kuzovatov, A. S. Bushkova

Get full text

Use of Flavonoids and Cinnamates, the Main Photoprotectors with Natural Origin by Alesandra R. Nunes, Ícaro G. P. Vieira, Dinalva B. Queiroz, Antonio Linkoln Alves Borges Leal, Selene Maia Morais, Débora Feitosa Muniz, João Tavares Calixto-Junior, Henrique Douglas Melo Coutinho

Get full text

The Origin of Synergetic Effect in Mixed Mn-Co Oxide with Spinel Structure for Catalytic Oxidation of CO by Olga A. Bulavchenko, Vladimir A. Rogov, Evgeny Yu. Gerasimov, Egor E. Aydakov, Anna M. Kremneva

“…In this work, the origin of the synergetic effect in mixed Mn_xCo_3-xO₄ oxides with the spinel structure in the CO oxidation reaction was tested. …”
Get full text

Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation by Zhan Wang, Mwamba Kasongo Dahouda, Hyoseong Hwang, Inwhee Joe

“…The approach is based on the encoder in the long-short-term memory (LSTM) network, where input time-series data is converted into a lower-dimensional, implicit representation, and an attempt is made to reconstruct the original input data via a decoder. …”
Get full text

Noisy Approach to Intrinsically Mixed-State Topological Order by Ramanjit Sohal, Abhinav Prem

“…Specifically, we show that decoherence, previously interpreted as anyon condensation in a doubled Hilbert space, is more naturally phrased as, and provides a physical mechanism for, “gauging out” anyons in the original Hilbert space. We find that gauging out anyons generically results in imTO, with the decohered mixed state strongly symmetric under certain anomalous 1-form symmetries. …”
Get full text

Efficient Hamiltonian encoding algorithms for extracting quantum control mechanism as interfering pathway amplitudes in the Dyson series by Erez Abrams, Michael Kasprzak, Gaurav Bhole, Tak-San Ho, Herschel Rabitz

“…The amplitudes of pathway classes are computed by modulating the Hamiltonian matrix elements and decoding the subsequent evolution of the system rather than by direct computation of the individual terms in the Dyson series. The original implementation of Hamiltonian encoding was computationally intensive and became prohibitively expensive in large quantum systems. …”
Get full text

Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion by Ruojin Wang, Xiaodong Wang, Deyi Fu, Bin Yang, Yingming Liu

Get full text

IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers by Einari Vaaras, Manu Airaksinen, Okko Rasanen

“…As a result, we show that the labels produced by IAR 2.0 systematically improve classifier performance compared to using the original labels or a previous state-of-the-art method for label refinement. …”
Get full text

Anomaly detection in multidimensional time series for water injection pump operations based on LSTMA-AE and mechanism constraints by Mei Wang, Xinyuan Zhu, Guangyue Zhou, Kewen Li, Qingshan Wu, Wankai Fan

“…The Decoder is responsible for reconstructing the latent representations generated by the Encoder back into the original time series data. By utilizing LSTMA-AE, we aim to improve the accuracy of anomaly detection, while simultaneously employing mechanistic constraints to mitigate false alarm rates. …”
Get full text

Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

Get full text

Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory by Yu Zhou, Xiaoxing He, Shengdao Wang, Shunqiang Hu, Xiwen Sun, Jiahui Huang

Get full text

Predicting bitcoin cryptocurrency price behavior based on ARIMA and NNAR modelling by Patricia Virginia de Santana Lima, David Venâncio da Cruz, Albaro Ramon Paiva Sanz

Get full text

Robust Output Feedback Disturbance Rejection Control by Simultaneously Estimating State and Disturbance by Jeang-Lin Chang

“…Through a series of transformations, we can transform the original system into two subsystems and then propose a sliding mode observer and a descriptor system form observer, respectively. …”
Get full text

University as a City and University as a State: Methodological Tools of William Clark by V. K. Pichugina, Z. A. Lurie

“…William Clark’s methodological tools applied to the study of the history and philosophy of higher education are presented in a series of articles 1996-2003 and especially in his book “Academic Charisma and the Origins of the Research University” (2006). …”
Get full text

ABOUT THE MORPHOLOGY OF BUD SCALES AND CATAPHYLLS OF ULMUS GLABRA HUDS. (ULMACEAE) by I. S. Antonova, A. S. Popova

Get full text

A state-dependent soil model and its application to principal stress rotation simulations by Zhongtao Wang, Peng Liu, Andrew Hin Cheong Chan

“…The plastic strain caused by principal stress rotation is one of the most important factors contributing to substantial deformation under earthquake, wave or traffic loading. The original Pastor–Zienkiewicz Mark III model, a well-known model for the analysis of the dynamic response under cyclic loading, is unable to consider the effects of principal stress orientation as well as state-dependent dilatancy. …”
Get full text

Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles by Daniela Galatro, Manav Shroff, Cristina H. Amon

“…This work presents an adaptive transfer learning approach for predicting the aging of lithium-ion batteries (LiBs) in electric vehicles using capacity fade as the metric for the battery state of health. The proposed approach includes a similarity-based and adaptive strategy in which selected data from an original dataset are transferred to a clean dataset based on the combined/weighted similarity contribution of feature and stress factor similarities and times series similarities. …”
Get full text

Evolution of Political Risk Concept: Classical and Contemporary Interpretations by D. A. Nechkin

Get full text