Integrated Fast Reactor Analysis and Calculation of Neutronics-thermal Coupling by LI Haotian, WU Mingyu, WU Zongyun, ZHOU Zhiwei, HUO Xingkai, XIAO Yubai

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3D cloud masking across a broad swath using multi-angle polarimetry and deep learning by S. R. Foley, S. R. Foley, K. D. Knobelspiesse, A. M. Sayer, A. M. Sayer, M. Gao, M. Gao, J. Hays, J. Hoffman

“…Extracting that implicit information requires computationally expensive radiative transfer techniques. …”
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Comprehensive Analysis and Optimal Design of Hybrid Renewable Energy System for Rural Electrification in West Papua, Indonesia by Elias Kondorura Bawan, Fransisco Danang Wijaya, Husni Rois Ali, Juan C. Vasquez

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Advanced deep learning techniques for automated extraction of non-debris-covered areas of glaciers in High-Mountain Asia using time-series remote sensing data by Gexia Qin, Ninglian Wang, Bo Jiang, Yuwei Wu, Yanchao Yin, Zhijie Li

“…This model enhances information flow and overall performance by embedding the Swin Transformer (ST) as an encoder into a U-shaped architecture and reduces training time and improves gradient handling by incorporating the ResNet block in the decoder. …”
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Dyadic Probabilistic Shaping of PAM-4 and PAM-8 for Cost-Effective VCSEL-MMF Optical Interconnection by Lin Sun, Chang Wang, Jiangbing Du, Chenyu Liang, Wenjia Zhang, Ke Xu, Fan Zhang, Zuyuan He

“…PAM-8 signaling by PS at the net rate of 75 Gb/s has been realized with 100-m OM3 fiber transmission. …”
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Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer’s Disease or Mild Cognitive Impairment by Lanlan Li, Yeying Yang, Qi Zhang, Jiao Wang, Jiehui Jiang, Alzheimer’s Disease Neuroimaging Initiative

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Automatic Endoscopic Navigation for Monocular Depth and Ego-Motion Estimation in Wireless Capsule Endoscopy Through Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…To address these issues, we introduce a novel self-supervised neural network framework that integrates a dual-attention mechanism within a modified ResNet. This model simultaneously predicts depth maps and ego-motion from monocular GI images, without requiring ground truth depth data. …”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

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Village Savings and Loan Associations and Socio-Economic Empowerment of Vulnerable People in Kamuganguzi Sub-County Kabale, District, Uganda by Mwijukye, Deus, Moses, Agaba

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Village Savings And Loan Associations (VSLA) and Socio -Economic Empowerment of Vulnerable People in Kamuganguzi Sub County Kabale District. by Mwijukye, Deus

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Applying equity principles leads to higher carbon removal obligations in Canada by Kasra Motlaghzadeh, Neil Craik, Juan Moreno-Cruz, Vanessa Schweizer, Jay Fuhrman, Keith W. Hipel

“…Here, we use integrated assessment modeling to examine equity-informed estimates of Canada’s remaining carbon budgets, exploring CDR’s role at net-zero and beyond. …”
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Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models by Pedro L. Miguel, Leandro A. Neves, Alessandra Lumini, Giuliano C. Medalha, Guilherme F. Roberto, Guilherme B. Rozendo, Adriano M. Cansian, Thaína A. A. Tosta, Marcelo Z. do Nascimento

“…Six backbone architectures (ResNet-50, DenseNet-201, EfficientNet-b0, ResNeXt-50, ConvNeXt, CoatNet-small) were trained, with and without our modifications, on five H&E-stained datasets. …”
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No increase is detected and modeled for the seasonal cycle amplitude of <i>δ</i>¹³C of atmospheric carbon dioxide by F. Joos, F. Joos, S. Lienert, S. Lienert, S. Zaehle

“…Disequilibrium fluxes contribute little to the seasonal amplitude of the net land isotope flux north of 40° N but contribute near equally to the isotopic flux associated with growing season net carbon uptake in tropical and Southern Hemisphere (SH) ecosystems, pointing to the importance of monitoring <span class="inline-formula"><i>δ</i>¹³</span>C<span class="inline-formula">_a</span> over these ecosystems. …”
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On Minimizing Risk and Harm in the Use of Psychedelics by Jules Evans, Marc Aixalà, Brian T. Anderson, William Brennan, Rebecka Bremler, Joost J. Breeksema, Lisa Burback, Abigail E. Calder, Robin L. Carhart‐Harris, Katherine Cheung, Neşe Devenot, Ingmar Gorman, Jakub Greń, Peter S. Hendricks, Brian Holoyda, Edward Jacobs, Joy Krecké, Daniel J. Kruger, David Luke, Tomislav Majić, Amy L. McGuire, Nicky J. Mehtani, David S. Mathai, Kristin Nash, Tehseen Noorani, Roman Palitsky, Oliver C. Robinson, Otto Simonsson, Elin Stahre, Michiel vanElk, David B. Yaden

“…Objective This article outlines recommendations from 30 psychedelic researchers on how to create a better psychedelic safety net. Methods A survey of 30 psychedelic researchers asked them to identify key critical research gaps around psychedelic harm and safety. …”
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A bird song detector for improving bird identification through deep learning: A case study from Doñana by Alba Márquez-Rodríguez, Miguel Ángel Mohedano-Munoz, Manuel J. Marín-Jiménez, Eduardo Santamaría-García, Giulia Bastianelli, Pedro Jordano, Irene Mendoza

“…BirdNET, a widely used model for bird identification, has shown success in many study systems but is limited at local scale due to biases in its training data, which focus on specific locations and target sounds rather than entire soundscapes. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

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Optimized Two-Stage Anomaly Detection and Recovery in Smart Grid Data Using Enhanced DeBERTa-v3 Verification System by Xiao Liao, Wei Cui, Min Zhang, Aiwu Zhang, Pan Hu

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National-scale mapping of ecosystems to improve ocean accounting for marine and coastal management in Indonesia by Teguh Satria Gunawan, Marsha Hamidah, Agavia Kori Rahayu, Nabila Nur Septiani, Jessica Pingkan, Agus Hermansyah, Muhammad Farhan, Rusdatus Sholihah, Angela Belladova Arundina, Diah Retno Minarni, Rahmatia Susanti, Gin Gin Gustiar, Desi Nurulita Kusumastuti, Gabriella Rosya Maharani, Muhammad Dimas Nurhakim, Putri Vency Khalishah, Irgi Fadilah Rahman, Nicky Nugianto, Amehr Hakim, Firdaus Agung, Annisya Rosdiana, Heidi Retnoningtyas, Intan Destianis Hartati, Efin Muttaqin, Sophia German, Jordan Gacutan, Irfan Yulianto

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Deep nested U-structure network with frequency attention for building semantic segmentation by Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu, Mugahed A. Al-antari

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A Multi-Time-Frequency Feature Fusion Approach for Marine Mammal Sound Recognition by Xiangxu Meng, Xin Liu, Yinan Xu, Yujing Wu, Hang Li, Kye-Won Kim, Suya Liu, Yihu Xu

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