Joint Optimization of EV Charging and Renewable Distributed Energy With Storage Systems Under Uncertainty by Talal Alharbi, Ahmed Abdalrahman, Mostafa H. Mostafa, Loay Alkhalifa

“…The mathematical models of EVCSs and ESSs, and an economic analysis of the microgrid is included, considering the costs associated with energy storage system integration. …”
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Past Expansion and Future Prediction of Land Use and Land Cover of Sofia City by D. Pavlov, D. Pavlov, L. L. Vitanova, D. Petrova-Antonova

“…Validation of CA-ANN models showed high accuracy but limited ability to predict small-scale transitions due to low transition potential. …”
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Cortical encoding of phonetic onsets of both attended and ignored speech in hearing impaired individuals. by Sara Carta, Emina Aličković, Johannes Zaar, Alejandro López Valdés, Giovanni M Di Liberto

“…Multivariate temporal response function (TRF) analyses indicated a stronger phonological information encoding for target than masker speech streams. …”
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Effectiveness evaluation of combining SAR and multiple optical data on land cover mapping of a fragmented landscape in a cloud computing platform by Giovanni Romano, Giovanni Francesco Ricci, Francesco Gentile

“…The classification process offers several advantages, including widespread spectral information, SAR’s ability to capture almost all-weather, day-and-night imagery, and the computation of vegetation indices in the near infrared spectrum interval, in a short revisit time. …”
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Musical expertise modulates embodied processing of biological motion and audiovisual-motor integration in rhythmic hand tapping by Alice Mado Proverbio, Matteo Valtolina

“…Musicians significantly outperformed controls in an independent rhythmic ability test, demonstrating superior auditory-motor encoding. …”
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Brain Functional Connectivity During First- and Third-Person Visual Imagery by Ekaterina Pechenkova, Mary Rachinskaya, Varvara Vasilenko, Olesya Blazhenkova, Elena Mershina

“…The network-based statistics analysis revealed a small subnetwork of the early visual and posterior temporal areas that manifested stronger functional connectivity during the first-person perspective, suggesting a closer sensory recruitment loop, or, in different terms, a loop between long-term memory and the “visual buffer” circuits. …”
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Application of Distributed Acoustic Sensing for Active Near-Surface Seismic Monitoring by Eslam Roshdy, Mariusz Majdański, Szymon Długosz, Artur Marciniak, Paweł Popielski

“…The results show a comparable data quality, with DAS offering significant advantages in terms of both the spatial and temporal resolution, facilitating more accurate interpretations. …”
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Self-related thought alterations associated with intrinsic brain dysfunction in mild cognitive impairment by Povilas Tarailis, Kim Lory, Paul G. Unschuld, Christoph M. Michel, Lucie Bréchet

“…This aberrant temporal activity was localized within brain regions implicated in episodic autobiographical memory and the default mode network. …”
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Pesticide threshold weighing indicator: application in the State of Paraná, Brazil by Viviane Serra Melanda, Humberto Cereser Ibañez, Henrique Aparecido Laureano, Luíza Siqueira Lima, Bonald Cavalcante Figueiredo, Cláudia Sirlene Oliveira

“…Descriptive and inferential statistical approaches were employed, including tests of association, correlation, and hypothesis testing, as well as probability analysis, through spatial and temporal analyses. Results: A Pesticide Threshold Weighting Indicator (iPLA) was developed, with an explanatory capacity of variability greater than 77%. …”
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Force Control of SMA Springs Using RNNs by Ahmet Atasoy, Mehmed Ozkan

“…A compact test setup equipped with sensors collects data on voltage, current, and generated force, enabling the system’s dynamic behavior analysis. RNNs effectively model the nonlinear characteristics of SMA actuators, leveraging their capacity to learn complex temporal relationships from the collected data. …”
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Rapid Flood Monitoring Using Sentinel-1 and Landsat-8 Images (Case study: Kashkan River, Poldakhter City) by Peyman Peymankhah, Sara Attarchi, Meysam Moharrami

“…It allows them to quickly access ready data for analysis which is of great importance in case of flooding. …”
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Long Term Predictability of Southern Ocean Surface Nutrients Using Explainable Neural Networks by Gian Giacomo Navarra, Curtis Deutsch, Antonios Mamalakis, Andrew Margolskee, Graeme MacGilchrist

“…We employ a deep learning approach, specifically a Temporal Convolution Attention Neural Network (TCANN), to conduct multi‐year forecasting of surface NO3− based on oceanic physical drivers. …”
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Seasonal snow cover indicators in coastal Greenland from in situ observations, a climate model, and reanalysis by J. van der Schot, J. van der Schot, J. Abermann, J. Abermann, T. Silva, T. Silva, K. Rasmussen, K. Rasmussen, M. Winkler, K. Langley, W. Schöner, W. Schöner

“…In particular, we evaluate the ability of RACMO2.3p2 and CARRA to simulate these snow indicators at the nine different locations, perform a time series analysis of the indicators, and assess their spatial variability. …”
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Cements, Waters, and Scales: An Integrated Study of the Szeged Geothermal Systems (SE Hungary) to Characterize Natural Environmental Conditions of the Thermal Aquifer by Andrea Varga, Gábor Bozsó, István Garaguly, Béla Raucsik, Attila Bencsik, Balázs Kóbor

“…Based on hydrogeochemical data and related indices for scaling and corrosion ability, the produced bicarbonate-rich (up to 3180 mg/l) thermal water has a significant potential for carbonate scaling which supports the aforementioned statement. …”
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Submesoscale‐Permitting Physical/Biogeochemical Future Projections for the Main Hawaiian Islands by T. Friedrich, B. S. Powell, J. L. Gunnarson, G. Liu, S. F. Giardina, M. F. Stuecker, L. Hošeková, K. Feloy, C. A. Stock

“…Due to coarse spatial resolution, they typically lack the ability to represent important regional processes while underestimating mesoscale variability and vertical mixing. …”
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Theory of an Automatic Seepage Meter and Ramifications for Applications by Vitaly A. Zlotnik, D. Kip Solomon, David P. Genereux, Troy E. Gilmore, C. Eric Humphrey, Aaron R. Mittelstet, Anatoly V. Zlotnik

“…., 2020, https://doi.org/10.1029/2019WR026983). The ability to infer flux values with high temporal resolution relies on an accurate interpretation of water level dynamics inside the tube. …”
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Mechanisms of Ocean Acidification in Massachusetts Bay: Insights from Modeling and Observations by Lu Wang, Changsheng Chen, Joseph Salisbury, Siqi Li, Robert C. Beardsley, Jackie Motyka

“…Assimilating satellite-derived sea surface temperature and sea surface height improved NeBEM’s ability to reproduce observed seasonal and spatial variability in stratification, mixing, and circulation. …”
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Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks by Yuchen Liu, Xide Cheng, Kunyu Han, Zhechun Liu, Baiwei Feng

“…The data feature extraction ability of CNNs, the temporal analysis capabilities of BiLSTMs, and the dynamic adjustment function of Attention on feature weights were comprehensively utilized to predict a ship’s heave motion. …”
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High-Resolution Models of Human Cochlea for a Study of Neural Activation by Siwei Bai, Albert Croner, Carmen Marie Castaneda Gonzalez, Amirreza Heshmat, Ali Saeedi, Anneliese Schrott-Fischer, Rudolf Glueckert, Werner Hemmert

“…After reconstructing anatomically realistic cochlea models from high-resolution X-ray microtomography scans of eight human temporal bone specimens contrast-enhanced with osmium tetroxide, we conducted an in-depth analysis of the stimulus amplitudes necessary to elicit the excitation of type I spiral ganglion neurons in the cochlea. …”
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Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model by Kyoung Ok Yang, So Young Kim, Chang Won Kang, Jeong Seon Choi, Yong Bae Ji, Kyung Tae, Jun Won Choi, Chang Myeon Song

“…These results demonstrate the advantages of incorporating temporal motion cues in video-based analysis and support the use of DL for comprehensive, multi-task assessment of UVFP. …”
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