Relativistic configuration interaction calculations of photoionization and photoabsorption in Ne and Ne-like Na+ ion by G.A. Alna'washi, S.M. Hamasha, O. Abu-Haija

“…This work provides the first comprehensive dataset for K-shell photoexcitations in Na+, addressing a significant gap in atomic data. These data are essential for modeling X-ray photoabsorption processes in astrophysical plasmas and improving the accuracy of spectral diagnostics in high-resolution observations.…”
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A Tale of Many Networks: Splitting and Merging of Chord-like Overlays in Partitioned Networks by Tobias Amft, Kalman Graffi

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Myoblast-derived ADAMTS-like 2 promotes skeletal muscle regeneration after injury by Nandaraj Taye, Levon Rodriguez, James C. Iatridis, Woojin M. Han, Dirk Hubmacher

“…We recently identified secreted ADAMTS-like 2 (ADAMTSL2) as a pro-myogenic regulator of muscle development, where it promoted myoblast differentiation. …”
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Analyzing the Mediterranean Tropical-like Cyclone Ianos Using the Moist Static Energy Budget by Miriam Saraceni, Lorenzo Silvestri, Paolina Bongioannini Cerlini

“…This paper presents a detailed analysis of the energy dynamics of the Mediterranean tropical-like cyclone, Medicane Ianos, by using a moist static energy (MSE) budget framework. …”
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The YABBY Genes of Leaf and Leaf-Like Organ Polarity in Leafless Plant Monotropa hypopitys by Anna V. Shchennikova, Marya A. Slugina, Alexey V. Beletsky, Mikhail A. Filyushin, Andrey A. Mardanov, Olga A. Shulga, Elena Z. Kochieva, Nikolay V. Ravin, Konstantin G. Skryabin

“…Transcriptomic and qRT-PCR analyses of different tissues revealed MhyYABBY transcriptional patterns, which were similar to those of orthologous YABBY genes from other angiosperms. These data should contribute to the understanding of the role of the YABBY genes in the regulation of developmental and physiological processes in achlorophyllous leafless plants.…”
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Dual and plasticity-dependent regulation of cerebello-zona incerta circuits on anxiety-like behaviors by Yue Zhao, Jin-Tao Wu, Jia-Bin Feng, Xin-Yu Cai, Xin-Tai Wang, Luxi Wang, Wei Xie, Yan Gu, Jun Liu, Wei Chen, Lin Zhou, Ying Shen

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Dual Role of Insulin-Like Growth Factor (IGF)-I in American Tegumentary Leishmaniasis by Carolina de O Mendes-Aguiar, Camilla Lopes-Siqueira, Fabrício Pettito-Assis, Márcia Pereira-Oliveira, Manoel Paes de Oliveira-Neto, Claude Pirmez, Alda Maria Da-Cruz, Hiro Goto

“…Insulin-like growth factor (IGF-I) constitutively present in the skin may participate in the inflammatory process and parasite-host interaction. …”
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Annotated data for semantic role labeling of crisis events in Indonesian TweetsMendeley Data by Amelia Devi Putri Ariyanto, Diana Purwitasari, Bilqis Amaliah, Chastine Fatichah, Muhammad Ghifari Taqiuddin, Haikal

“…This dataset includes entity labels for Named Entity Recognition (NER), another information extraction technique besides SRL. Text data was obtained through a crawling process on Twitter using specific keywords from 2018–2023, then preprocessed to obtain clean and relevant data for crisis events in Indonesia. …”
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Sensitivity Estimation for Differentially Private Query Processing by Meifan Zhang, Xin Liu, Lihua Yin

“…Differential privacy is a robust framework for private data analysis and query processing, which achieves privacy preservation by introducing controlled noise to query results in a centralized setting. …”
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Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

“…Then, the experiments investigate our augmentation process using classifiers of Random Forest, Naïve Bayes, and boosting-based methods like XGBoost and ADABoost, which resulted in an average accuracy increase of 0.63. …”
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Automated redaction of names in adverse event reports using transformer-based neural networks by Eva-Lisa Meldau, Shachi Bista, Carlos Melgarejo-González, G. Niklas Norén

“…Methods We finetuned BERT – a transformer-based neural network – for recognising names in case narratives. Training data consisted of newly annotated records from the Yellow Card data and of the i2b2 2014 deidentification challenge. …”
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An Improved Apriori Algorithm Based on an Evolution-Communication Tissue-Like P System with Promoters and Inhibitors by Xiyu Liu, Yuzhen Zhao, Minghe Sun

“…Apriori algorithm, as a typical frequent itemsets mining method, can help researchers and practitioners discover implicit associations from large amounts of data. In this work, a fast Apriori algorithm, called ECTPPI-Apriori, for processing large datasets, is proposed, which is based on an evolution-communication tissue-like P system with promoters and inhibitors. …”
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New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform by Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

“…This paper presents a new methodology for localizing impact events on plate-like structures using a proposed two-dimensional convolutional neural network (CNN) and received impact signals. …”
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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

“…The human visual system possesses a remarkable ability to detect and process faces across diverse contexts, including the phenomenon of face pareidolia--seeing faces in inanimate objects. …”
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Building a modern data platform based on the data lakehouse architecture and cloud-native ecosystem by Ahmed AbouZaid, Peter J. Barclay, Christos Chrysoulas, Nikolaos Pitropakis

“…Furthermore, the change in the data management architectures has been accompanied by changes in storage formats, particularly open standard formats like Apache Hudi, Apache Iceberg, and Delta Lake. …”
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ECHO: enhanced communication for hearing impaired in online video podcasts by Gouthami Godhala, Vijayasree Asam, Samriddha Sanyal

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Identifying species traits that predict vulnerability to climate change by Damien A. Fordham

“…A powerful solution is to analyse the growing volume of biological data on changes in species ranges and abundances using process-explicit ecological models that run at fine temporal and spatial scales and across large geographical extents. …”
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Raman-based PAT for multi-attribute monitoring during VLP recovery by dual-stage CFF: attribute-specific spectral preprocessing for model transfer by Annabelle Dietrich, Luca Heim, Jürgen Hubbuch 

“…Spectroscopic soft sensors are developed by combining spectral data with chemometric modeling, and offer as Process Analytical Technology (PAT) tools powerful insights into biopharmaceutical processing. …”
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“My Daughter is not like That”: A Qualitative Study of Parental Perception on Child Sexual Abuse Risk by S. Eelmaa

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Integrative multi-omics analysis reveals the role of toll-like receptor signaling in pancreatic cancer by Jie Peng, Jiaao Sun, Youfeng Yu, Qihang Yuan, Yong Zhang

“…We collected single-cell expression data from 57,024 cells and transcriptomic data from 945 pancreatic cancer patients, and conducted a series of analyses at both the single-cell and transcriptomic levels. …”
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