Use of Nuclear Data Sensitivity and Uncertainty Analysis for the Design Preparation of the HCLL Breeder Blanket Mockup Experiment for ITER by I. Kodeli

“…With the objective to prepare and optimise the design of the mockup in the sense to provide maximum information on the state-of-the-art of the cross-section data the mockup was pre-analysed using the deterministic codes for the sensitivity/uncertainty analysis. …”
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PoPoolation: a toolbox for population genetic analysis of next generation sequencing data from pooled individuals. by Robert Kofler, Pablo Orozco-terWengel, Nicola De Maio, Ram Vinay Pandey, Viola Nolte, Andreas Futschik, Carolin Kosiol, Christian Schlötterer

“…PoPoolation is written in Perl and R and it builds on commonly used data formats. Its source code can be downloaded from http://code.google.com/p/popoolation/. …”
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An automation framework for clinical codelist development validated with UK data from patients with multiple long-term conditions by A. Aslam, L. Walker, M. Abaho, H. Cant, M. O’Connell, A. S. Abuzour, L. Hama, P. Schofield, F. S. Mair, R. A. Ruddle, O. Popoola, M. Sperrin, J. Y. Tsang, E. Shantsila, M. Gabbay, A. Clegg, A. A. Woodall, I. Buchan, S. D. Relton

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A novel PV power prediction method with TCN-Wpsformer model considering data repair and FCM cluster by Tong Yang, Minan Tang, Hanting Li, Hongjie Wang, Chuntao Rao

“…The time code of the dataset obtained after data restoration and FCM clustering was spliced with the location code. …”
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Task Mapping and Scheduling With Uneven Data Partition on Homogeneous and Single-ISA Heterogeneous CPUs in Model-Based Parallelization by Shanwen Wu, Satoshi Kumano, Kei Marume, Masato Edahiro

“…Model-based development tools, such as MATLAB/Simulink have further streamlined software design, enabling automatic code generation for embedded systems. This study addresses the challenges of task mapping and scheduling in model-based parallelization (MBP) by focusing on bottleneck tasks that exhibit data parallelism. …”
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Missing data approaches for longitudinal neuroimaging research: Examples from the Adolescent Brain and Cognitive Development (ABCD) Study® by Lin Li, Mohammadreza Bayat, Timothy B. Hayes, Wesley K. Thompson, Michael C. Neale, Arianna M. Gard, Anthony Steven Dick

“…Through practical examples and code using ABCD Study® data, we illustrate some of the benefits and challenges of these methods, with a review of how these advanced methodologies bolster the robustness of analyses and contribute to the integrity of research findings in the field of developmental cognitive neuroscience.…”
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Process Re-Engineering and Data Integration Using Fast Healthcare Interoperability Resources for the Multidisciplinary Treatment of Lung Cancer by Ching-Hsiung Lin, Bing-Yen Wang, Sheng-Hao Lin, Pei Hsuan Shih, Chin-Jing Lee, Yung Ting Huang, Shih Chieh Chen, Mei-Lien Pan

“…To digitize the workflow, our hospital adopted the NAVIFY Tumor Board (NTB), a cloud-based platform integrating medical data using international standards, including Logical Object Identifiers, Names, and Codes, Systemized Nomenclature of Medicine–Clinical Terms, M-code, and FHIR. …”
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Dataset of observables for small modular lead-cooled fast reactor MOX spent nuclear fuelMendeley Data by Victor J. Casas-Molina, Pablo Romojaro, Gwennaelle Nourry, Gert Van den Eynde, Luca Fiorito, Ivan Merino-Rodríguez, Tom Dhaene, Ivo Couckuyt

“…This database was developed to support the optioneering and design of MOX-based lead-cooled fast reactors. This data article introduces a comprehensive dataset of isotopic mass densities, spanning 152 nuclides present in irradiated LFR-MOX fuel, additionally providing insights into fuel characteristics such as activity, decay heat rates, photon emission rates, spontaneous fission rates, and radiotoxicity values across various decay steps.Using the Serpent2 Monte Carlo code for fuel depletion calculations, and processed with SerpentTools, the dataset captures inventory data as a function of reactor power, fuel burnup, plutonium vector in the fresh MOX, and decay time at the end of irradiation, enabling analyses of SNF properties. …”
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Analysis of the Association between Teachers’ Classroom Teaching Behaviors and Students’ Knowledge Acceptance Based on Psychological Data Analysis by Tianjin Yao, Xiuye Yang

“…The classroom learning process is coded, sampled, and quantified to obtain data on students’ learning behaviors, and a visualization system based on classroom students’ learning behaviors is designed and developed to record and analyze students’ behaviors in the classroom learning process and grasp students’ classroom learning. …”
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A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…A fine-grained analysis of cross-domain interactions quantifies a near-linear competition between code and math, while showing that tool use data exhibits minimal interference. …”
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Exploring technological evolution of AIED field using topic modelling and link prediction analysis based on patent data by Hüseyin Özçınar, Aylin Sabancı Bayramoğlu

“…This study aims to analyze the artificial intelligence in education (AIED) field using patent data to identify the key actors, main themes, and their evolution over time. …”
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Profiling public perception of emerging technologies: Gene editing, brain chips and exoskeletons. A data-analytics framework by Simona-Vasilica Oprea, Adela Bâra

“…Our research advances the understanding of AI and human enhancement by data-driven analytics and offers practical tools for future research and societal applications. …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 2; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach by Bidur Poudel, Nischal Guruwacharya, Sunil Subedi, Ujjwol Tamrakar, Felipe Wilches-Bernal, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen, Reinaldo Tonkoski

“…This transition requires the development of accurate dynamic models for IBRs to predict how power systems will adapt to varying levels of IBRs penetration, establish grid code requirements, and ensure compliance. This study introduces an active probing signal-based data-driven modeling technique to accurately derive the dynamics model of a smart photovoltaic inverter operating in Volt-Watt and Freq-Watt modes, in compliance with the IEEE 1547–2018 standard. …”
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SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation by Hajeong Lee, Zhixiong Jin, Jiyoung Woo, Byeongjoon Noh

“…Data augmentation is vital in deep learning for enhancing model robustness by artificially expanding training datasets. …”
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Prolonged administration of ritodrine hydrochloride in women with premature labor or threatened premature delivery based on empirical data in Japan by Kohei Ogawa, Daisuke Shinjo, Tomo Suzuki, Hiromitsu Azuma, Seiji Wada, Kiyohide Fushimi

“…The current study aimed to identify the annual trends in the prolonged administration of ritodrine hydrochloride and its differences in terms of region and type of facility. This study used data from the Japanese Diagnosis Procedure Combination inpatient database, and the survey included women with premature labor or threatened premature delivery based on the International Statistical Classification of Diseases and Related Health Problems, 10th Revision, codes. …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 1; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Enabling Advanced Land Cover Analytics: An Integrated Data Extraction Pipeline for Predictive Modeling With the Dynamic World Dataset by Victor Radermecker, Andrea Zanon, Nancy Thomas, Annita Vapsi, Saba Rahimi, Rama Ramakrishnan, Daniel Borrajo

“…To facilitate further research and validation, all code and data used in this study are made available online.…”
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Graphlet decomposition dataset of Tallinn’s road network from January 2020 OpenStreetMap dataGithub by Mahdi Rasoulinezhad, Nasim Eslamirad, Jenni Partanen

“…This paper presents a comprehensive dataset of graphlet decomposition for the road network of Tallinn, Estonia, based on OpenStreetMap (OSM) data representing the road network state as of 1 January 2020. …”
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Hide Compressed Texts in an Audio File by Shahad Hasso

“…In this work, a new algorithm is proposed for compression and encodes the data using Huffman coding technique, then hides them in an audio file using a secret key for the distribution of encoded data within and LSB well known approach. …”
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