Radiative closure assessment of retrieved cloud and aerosol properties for the EarthCARE mission: the ACMB-DF product by H. W. Barker, J. N. S. Cole, N. Villefranque, Z. Qu, A. Velázquez Blázquez, C. Domenech, S. L. Mason, R. J. Hogan

“…For historical/programmatic reasons, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M9" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="normal">Δ</mi><mover accent="true"><mi>F</mi><mo stretchy="false" mathvariant="normal">^</mo></mover></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="17pt" height="12pt" class="svg-formula" dspmath="mathimg" md5hash="d13148ea9642bc467df8ee481c56b51f"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-18-3095-2025-ie00003.svg" width="17pt" height="12pt" src="amt-18-3095-2025-ie00003.png"/></svg:svg></span></span> is set to 10 W m<span class="inline-formula">⁻²</span>, but that might change during EarthCARE's commissioning phase and with Sun angle. The closure process is demonstrated up to calculation of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M11" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>p</mi><mrow><mi mathvariant="normal">Δ</mi><mover accent="true"><mi>F</mi><mo mathvariant="normal" stretchy="false">^</mo></mover></mrow></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="20pt" height="11pt" class="svg-formula" dspmath="mathimg" md5hash="1b559a65bed0ca3906fbd193c8622891"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-18-3095-2025-ie00004.svg" width="20pt" height="11pt" src="amt-18-3095-2025-ie00004.png"/></svg:svg></span></span> using four 400 km long portions of one of EarthCARE's test frames for which simulated passive measurements were computed by 3D RTMs. …”
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Printed Optoelectronic Memories Using Gr/WS2 Nanostructured Composite Ink for Retina‐Inspired Vision Persistent Synapses by Jiahui Bai, Qiuyan Wang, Qiaoqiao Zheng, Dong Liu, Hongbing Zhan, Renjing Xu, Jiajie Pei

“…Abstract The rapid advancement of neuromorphic computing and machine vision drives the need for optoelectronic memories that mimic neural and visual systems, integrating optical sensing, data storage, and processing. …”
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Self-Supervised Learning of End-to-End 3D LiDAR Odometry for Urban Scene Modeling by Shuting Chen, Zhiyong Wang, Chengxi Hong, Yanwen Sun, Hong Jia, Weiquan Liu

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Optimized Distribution of Entanglement Graph States in Quantum Networks by Xiaojie Fan, Caitao Zhan, Himanshu Gupta, C. R. Ramakrishnan

“…Building large-scale quantum computers, essential to demonstrating quantum advantage, is a key challenge. …”
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Accelerating Spark-Based Applications with MPI and OpenACC by Saeed Alshahrani, Waleed Al Shehri, Jameel Almalki, Ahmed M. Alghamdi, Abdullah M. Alammari

“…To the best of our knowledge, there is no existing method in big data applications related to utilizing graphics processing units (GPUs), which are now an essential part of high-performance computing (HPC) as a powerful resource for fast computation.…”
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Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review by Dhekre Saber Saleh, Mohd Shahizan Othman

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Avaliação de um Modelo de Maturidade para Adoção de Learning Analytics em Instituições de Ensino Superior / Evaluation of a Maturity Model for the Adoption of Learning Analytics in... by Elyda Laisa Soares Xavier Freitas, Fernando da Fonseca de Souza, Vinicius Cardoso Garcia, Taciana Pontual da Rocha Falcão, Elaine Cristina Moreira Marques, Rafael Ferreira Mello

Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…Python 3 was used in all the experiments using windows 10 laptop with 8GB RAM and 2.0GHZ processor. The performance of the supervised machine learning algorithms using the original datasets includes 60.33%, 56.24%, 57.01% and 59.06% for KNN, CART, NB, and SVM respectively. …”
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Integral observability operators of nonlinear dynamical systems by Yury V. Zaika

“…In terms of functional dependence, the description of observable functions in nonlinear dynamical systems, which are analytic with respect to phase variables, is obtained. For processing of measurements, integral operators are used, which provide certain noise stability of operation of phase state reconstruction. …”
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Plane-selective manipulations of nuclear spin qubits in a three-dimensional optical tweezer array by Toshi Kusano, Yuma Nakamura, Rei Yokoyama, Naoya Ozawa, Kosuke Shibata, Tetsushi Takano, Yosuke Takasu, Yoshiro Takahashi

“…One of the central challenges for a practical fault-tolerant quantum computer is scalability. A three-dimensional structure of optical tweezer arrays offers the potential for scaling up neutral atom processors. …”
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Bioinformatics analyses of the proteome of Holothuria tubulosa coelomic fluid and the first evidence of primary cilium in coelomocyte cells by Laura La Paglia, Manuela Mauro, Vincenzo Arizza, Alfonso Urso, Sugár Simon, Laszlo Drahos, Vita di Stefano, Claudio Luparello, Mirella Vazzana, Aiti Vizzini

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Thresholds in East Asian marginal seas circulation due to deglacial sea level rise by Xun Gong, Yang Yu, Xuefa Shi, Xiaopei Lin, Guangliang Liu, Zhi Dong, Xuesong Wang, Jiong Zheng, Lester Lembke-Jene, Gerrit Lohmann

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Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study by Rafael Aredes Couto, Igor Augusto Guimarães Campos, Elvys Dias Reis, Daniel Hasan Dalip, Flávia Spitale Jacques Poggiali, Péter Ludvig

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Aiding Traffic Prediction Servers through Self-Localization to Increase Stability in Complex Vehicular Clustering by Iftikhar Ahmad, Rafidah Md Noor, Roobaea Alroobaea, Muhammad Talha, Zaheed Ahmed, Umm-e- Habiba, Ihsan Ali

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Optimized disease prediction in healthcare systems using HDBN and CAEN framework by G. Prabaharan, S.M. Udhaya Sankar, V. Anusuya, K. Jaya Deepthi, Rayappan Lotus, R. Sugumar

“…Classification and segmentation play a pivotal role in transforming decision-making processes in healthcare, IoT, and edge computing. However, existing methodologies often struggle with accuracy, precision, and specificity when applied to large, heterogeneous datasets, particularly in minimizing false positives and negatives. …”
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An Ultrathin Optoelectronic Memristor with Dual‐Functional Photodetector and Optical Synapse Behaviors for Neuromorphic Vision by Lilan Zou, Junru An, Haonan Xu, Guizhen Wang, Shiwei Lin

“…The device enables electric synaptic behaviors, which are essential for neuromorphic computing. Notably, the dual‐functional photodetector and optical synapse facilitate the efficient acquisition and processing of visual information following specific application scenarios. …”
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BioPipeline Creator—a user-friendly Java-based GUI for managing and customizing biological data pipelines by Cléo Maia Cordeiro, Gislenne da Silva Moia, Mônica Silva de Oliveira, Lucas da Silva e Silva, Maria Paula Cruz Schneider, Sávio S. Costa, Rafael Azevedo Baraúna, Diego Assis das Graças, Artur Silva, Adonney Allan de Oliveira Veras

“…The server is responsible for the processing tasks and can perform the analysis in the user's local or remote network structure. …”
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Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy by Sonia Zouari, Farman Ali, Atef Masmoudi, Sarah Abu Ghazalah, Wajdi Alghamdi, Faris A. Kateb, Nouf Ibrahim

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Highly Resistive Biomembranes Coupled to Organic Transistors enable Ion‐Channel Mediated Neuromorphic Synapses by Joshua J. Maraj, Emily A. Schafer, Michelle M. Mansour, Essraa A. Hussein, Joseph Berryman, Elizabeth Klavon, Jonathan Rivnay, Stephen A. Sarles

“…The high resistance of the TCDB establishes a basis for hybrid biomolecular synapses that can integrate stimuli‐responsive membranes and organic electronics for future applications in sensing, signal processing, and neuromorphic computing at the edge of biology.…”
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Cross-Feature Hybrid Associative Priori Network for Pulsar Candidate Screening by Wei Luo, Xiaoyao Xie, Jiatao Jiang, Linyong Zhou, Zhijun Hu

“…CFHAPNet incorporates a novel architecture and strategies to integrate multi-class heterogeneous feature subimages from each candidate into multi-channel data processing. By implementing cross-attention mechanisms and other enhancements for multi-view feature interactions, the model significantly strengthens its ability to capture fine-grained image texture details and weak prior semantic information. …”
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