POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

“…Conventional methods which require conducting full-wave EM simulations at every thermal step, impose substantial computational burdens. …”
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Investigation of Possibility of Measuring the Albedo of Earth's Surface in Visible and Near Infrared Bands in Conditions of Aerosol Pollution of Atmosphere Using Unmanned Aerial Ve... by H. H. Asadov, A. J. Alieva, M. G. Ashrafov

“…There are a number of problems related to measuring the albedo of the earth, related to the spatial and temporal variability of this indicator. …”
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Study protocol for a randomised controlled trial evaluating the benefits from bimodal solution with cochlear implant and hearing aid versus bilateral hearing aids in patients with... by Jesper Hvass Schmidt, Yeliz Jakobsen, Lou-Ann Christensen Andersen

“…The control group (HA+HA) will receive a CI after a total of 4 months of bilateral HA use.The primary outcome measures are speech intelligibility measured objectively with HINT (sentences in noise) and DANTALE I (words) and subjectively with the Speech, Spatial and Qualities of Hearing scale questionnaire. …”
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Controlled deintercalation of graphene/organic superlattices with dense atomic-scale steric Schottky heterojunctions for extreme microwave absorption by Ruopeng Cui, Yi Li, Xuefei Zhang, Zewen Duan, Biao Zhao, Chunlei Wan

“…This study introduces a top-down approach involving the thermal deintercalation of graphene/alkylamine superlattices, leading to the in-situ formation of Schottky heterojunctions between the thermally reduced p-type rGO-alkylamine superlattice phase and entirely deintercalated semimetallic rGO phase (rGO denotes reduced graphene oxide), which can be flexibly tuned by the length of the alkylamines. A spatial network of 2D/2D vertical/lateral Schottky heterojunctions is thus formed with high interfacial density, greatly facilitating charge separation, and thereby strengthening polarization loss while reducing conduction loss. …”
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Morphometric analysis of internal auditory canal using CT imaging: An observational study in South Indian adult population by Judica Sheryl, Senthil Ganesh P. Kannappan

“…Conclusion: A detailed understanding of the anatomy and spatial relationships within the IAC is critical for diagnosing and treating conditions affecting this region. …”
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Comparative analysis of lumped and semi-distributed hydrological models for an upland watershed in Ethiopia by Gebiaw T. Ayele, Bofu Yu

“…While similar in terms of model performance, SWAT takes into account the spatial variability in soil, land use, and terrain, hence has the capacity for impact assessment of environment change in comparison to lumped conceptual models.…”
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Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro... by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

“…However, load forecasting is restricted in the popularization and application of conventional load forecasting techniques due to the great difficulty in obtaining numerical weather prediction data at the hourly level and the requirement to conduct predictions on multiple time scales. Under the condition of lacking meteorological forecast data, this paper proposes to utilize a temporal convolutional network (TCN) to extract the coupled spatial features among multivariate loads. …”
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Bio-inspired motion detection models for improved UAV and bird differentiation: a novel deep learning framework by Najiba Said Hamed Al-Zadjali, Sundaravadivazhagan Balasubaramanian, Charles Savarimuthu, Emanuel O. Rances

“…Extensive experiments were conducted comparing STBRNN with five state-of-the-art models, including YOLOv5, Faster R-CNN, SSD, RetinaNet, and R-FCN. …”
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AfaMamba: Adaptive Feature Aggregation With Visual State Space Model for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo, Chanjuan Wang

“…In addition, a lightweight CNN stem is introduced to extract shallow image features, enhancing the model's ability to capture spatial detail information. Extensive experiments conducted on two widely used remote sensing datasets, ISPRS Potsdam and LoveDA, demonstrate that AfaMamba achieves a superior balance between accuracy and efficiency compared to state-of-the-art models.…”
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Reproductive intensity of fish assemblages from streams of the Contas river basin, State of Bahia, Northeastern Brazil by M. S. Martins, A. T. Silva, U. P. Souza, J. Zina

“…The fish were collected between November 2012 and November 2013 in four quarterly expeditions that encompassed one seasonal cycle. The captures were conducted by electric fishing in 18 sampling sites, nine in the Upper Contas River drainage and nine in the Gongogi River drainage. …”
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Long-Term Spatiotemporal Information Extraction of Cultivated Land in the Nomadic Area: A Case Study of the Selenge River Basin by Yifei Sun, Juanle Wang, Kai Li, Sonomdagva Chonokhuu

“…Traditional nomadic areas showed a spatial pattern of reconstruction, characterized by a significant transformation to agricultural land. …”
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Сomparative Analysis of the Long-Term Results of Diabetic Macular Edema and Epiretinal Membrane Surgical Treatment by M. M. Bikbov, R. M. Zainullin, T. R. Gilmanshin, T. A. Khalimov

“…The purpose of the study — to conduct a comparative analysis of structural and functional indicators of the central zone of the retina in patients with diabetic macular edema and epiretinal membrane in the remote period after surgical treatment. …”
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Unveiling team needs: a qualitative study of simulation training for endovascular cerebral thrombectomy by Hege Ersdal, Martin Kurz, Caroline Guldberg Fugelli, Britt Sætre Hansen

“…These included managing multidisciplinary task interactions, maintaining haemodynamic and respiratory stability, and working within spatial and access constraints. Consequently, the experience of disorganised teamwork persisted in clinical EVT. …”
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Landscape Patterns and Ecosystem Services Are Critical for Contributions to Sustainable Development Goals by Xue Miao, Zihao Guo, Congbin Leng, Jinliang Hou, Qingping Cheng, Hede Gong

“…Our study found that there was significant spatial heterogeneity in the relationship between SDGs and LPs or ESs in each county. …”
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Visual Complexity in Korean Documents: Toward Language-Specific Datasets for Deep Learning-Based Forgery Detection by Yong-Yeol Bae, Dae-Jea Cho, Ki-Hyun Jung

“…Document digitization mitigates spatial constraints on storage and offers significant advantages in transmission and management. …”
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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…The meaningful features were obtained utilizing the proposed HLLE, after which the GNN conducted the classification and metastasis analysis. …”
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An in-depth investigation of ground jerk characteristics for the four strongest Vrancea (Romania) earthquakes in the past half-century by Iolanda-Gabriela Craifaleanu, Iolanda-Gabriela Craifaleanu

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Improving Targeting Specificity of Transcranial Focused Ultrasound in Subject Specific Head Models Using a Random Array Transducer: A k-Wave Simulation Study by Zherui Li, Kai Yu, Joshua Kosnoff, Bin He

“…Acoustic simulations were conducted with the k-Wave toolbox by first acquiring free-field pressure waveforms and then recording the aberrated waveforms in the presence of the skull. …”
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Extended Depth of Focus (EDOF) and Trifocal Lenses: Advantages and Disadvantages. What Determines the Choice of Optical Correction? Review by A. Zh. Fursova, A. A. Atamanenko

“…The comparative analysis was conducted based on data from meta-analyses, systematic reviews, and randomized clinical trials. …”
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“PEOPLE MATTER. FREEDOM MATTERS. PEACE MATTERS”: CONCEPTUAL METAPHOR ANALYSIS OF VOLODYMYR ZELENSKYY’S SPEECHES by Anastasiia S. Skichko, Sandrine Peraldi, Stephen Lucek

“…It is worth noting that while this study does not currently encompass visual, gestural, and spatial modes, they hold the potential for inclusion in future investigations of motivational speeches, which could potentially augment the research outcomes. …”
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