Advances in the phylogeny of Helvella (Fungi: Ascomycota), inferred from nuclear ribosomal LSU sequences and morphological data by Fidel Landeros, Teresa Iturriaga, Aarón Rodríguez, Georgina Vargas-Amado, Laura Guzmán-Dávalos

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Mathematical dependence for the 137Cs concentration in spent nuclear fuel and its using for experimental data processing by V. V Galchenko, V. L. Diemokhin

“…The formula’s calculation results on 137Cs concentration were compared with ORIGEN and STURBUCS of SCALE-5 computer codes system calculations with some RBMK-1000 fuel experimental data. …”
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ELAN Analysis Companion (EAC): A Software Tool for Time-course Analysis of ELAN-annotated Data by Richard Andersson, Olof Sandgren

“…We report on and release a stand-alone program that expands on ELAN's capabilities in two ways: 1) it allows the researcher to plot and export time-course analysis data directly from ELAN's native annotation files, allowing for hassle-free data extraction in the time domain, e.g. for visual-world paradigm studies; and 2) it allows the researcher to weight ELAN's built-in annotator reliability rating based on the duration of the coded events. …”
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M‐ary differential chaos shift keying with carrier index modulation for high‐data‐rate transmission by Bin Yu, Guo‐Ping Jiang, Hua Yang, Ya‐Qiong Jia

“…At the transmitter, the proposed system employs index selectors, Hilbert transform, and MDCSK encoders. Walsh codes are used for separating different data‐bearing wavelets. …”
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Playing With Data: A Board Game-Inspired Technique to Engage Local Stakeholders in Participatory Qualitative Analysis by Charlotte Albrechtsen

“…The tutorial outlines a three-step process in which local stakeholders participate in the second step, working with condensed, pre-coded data fragments in a game-like setting to address key questions. …”
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Content analysis and optimization suggestions for China's big data on healthcare policy from the perspective of policy tools by Quansheng Wang, Guoqing Han, Lansong Huang

“…Objective To understand the internal and external characteristics of the big data policy of healthcare in China. This paper discusses the focus and shortcomings of policy objectives and related policies. …”
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A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data by Md Sakhawat Hossain, Ravi Goyal, Natasha K. Martin, Victor DeGruttola, Mohammad Mihrab Chowdhury, Christopher McMahan, Lior Rennert

“…Results We applied our method to estimate $$\:{R}_{t}\:$$ using data from South Carolina (SC) counties and ZIP codes during the first COVID-19 wave (‘Wave 1’, June 16, 2020 – August 31, 2020) and the second wave (‘Wave 2’, December 16, 2020 – March 02, 2021). …”
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FedECA: federated external control arms for causal inference with time-to-event data in distributed settings by Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Michael Debouver, Thibault Camalon, Thibault Fouqueray, Jorge Arellano Castro, Zahia Yanes, Laëtitia Dahan, Julien Taïeb, Pierre Laurent-Puig, Jean-Baptiste Bachet, Shulin Zhao, Remy Nicolle, Jérôme Cros, Daniel Gonzalez, Robert Carreras-Torres, Adelaida Garcia Velasco, Kawther Abdilleh, Sudheer Doss, Félix Balazard, Mathieu Andreux

“…However, accessing sufficient real-world or historical clinical trials data is challenging. Indeed, regulations protecting patients’ rights by strictly controlling data processing make pooling data from multiple sources in a central server often difficult. …”
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Deep learning using bulk RNA-seq data expands cell landscape identification in tumor microenvironment by Xin Wang, Hongjiu Wang, Dan Liu, Na Wang, Danni He, Zheyu Wu, Xu Zhu, Xiaoling Wen, Xuhua Li, Jin Li, Zhenzhen Wang

“…DCNet provides a foundation for decoding TME heterogeneity. The source code of DCNet can be found on GitHub: https://github.com/xindd/DCNet.…”
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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“… The sanctity of the doctor-patient relationship is deeply embedded in tradition – the Hippocratic oath, medical ethics, professional codes of conduct, and legislation – all of which are being disrupted by big data and ‘artificial’ intelligence (AI). …”
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DATA INVESTIGATION OF PK-LQP AIRPLANE VERTICAL DEVIATION USING CLASS 1 AND TIER 1 DATASETS by Rossi PASSARELLA, Siti NURMAINI, Muhammad Naufal RACHMATULLAH, Harumi VENY, Huda UBAYA, Firdaus FIRDAUS

“…The airplane, which is of the type B737 MAX8, had operated for 83 days, during which it completed 438 flights using a total of 107 flight codes, and it travelled to 36 airports. According to the findings of an investigation of the data, we found that only 69 (39%) were included in tier 1, which had an ADS-B data update interval message below 10 seconds, complying with ICAO and FAA-AVN standards. …”
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Multi-frequency mud siren simulation and experiment for increasing data transmission rate in mud pulse telemetry by A. J. Bamisebi, M. Reich

“…Amongst these, the most common method for data transmission in deep boreholes remains “Mud Pulse Telemetry” which sends information through the drilling mud inside the drill string by means of coded pressure pulses. …”
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Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning. by Jiayi Wu, Yong-Bei Ma, Charles Congdon, Bevin Brett, Shuobing Chen, Yaofang Xu, Qi Ouyang, Youdong Mao

“…Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination. …”
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Old wine into new wineskins? "Legacy data" in research on Roman Period East Germanic iron smelting. by Grzegorz Żabiński, Jarosław Gramacki, Artur Gramacki, Ivan S Stepanov, Marcin Woźniak

“…This paper discusses the use of "legacy data" in research on Roman Period iron smelting in the territory of the Przeworsk Culture in Magna Germania. …”
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Large Language Model-Driven Structured Output: A Comprehensive Benchmark and Spatial Data Generation Framework by Diya Li, Yue Zhao, Zhifang Wang, Calvin Jung, Zhe Zhang

“…Large language models (LLMs) have demonstrated remarkable capabilities in document processing, data analysis, and code generation. However, the generation of spatial information in a structured and unified format remains a challenge, limiting their integration into production environments. …”
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COVID-19: An exploration of consecutive systemic barriers to pathogen-related data sharing during a pandemic by Yo Yehudi, Lukas Hughes-Noehrer, Carole Goble, Caroline Jay

“…Examples of these barriers range from challenges faced by single individuals to non-existent records of historic mingling/social distance laws, and up to systemic geopolitical data suppression. Finally, we recommend that governments and local authorities explicitly create machine-readable temporal “law as code” for changes in laws such as mobility/mingling laws and changes in geographical regions.…”
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Bayesian network modeling applied to food risks: Data from General Administration of Customs of China as an example by Xuanyu Ying, Anni Lu, Qiang Cai, Jun Lu

“…We used data on monthly unauthorized food imports to China for demonstrating a full Additive BN model in the open-source R language with all code necessary to reproduce our analyses. …”
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PPT-LBS: Privacy-preserving top-k query scheme for outsourced data of location-based services by Yousheng Zhou, Xia Li, Ming Wang, Yuanni Liu

“…Location-based service (LBS) is enjoying a great popularity with the fast growth of mobile Internet. As the volume of data increases dramatically, an increasing number of location service providers (LSPs) are moving LBS data to cloud platforms for benefit of affordability and stability. …”
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Noise-induced self-supervised hybrid UNet transformer for ischemic stroke segmentation with limited data annotations by Wei Kwek Soh, Jagath C. Rajapakse

“…HUT-NSS, on average, gained a further margin of 7.2% dice score and 28.1% Hausdorff Distance score over the state-of-the-art network USSLNet on the CT perfusion scans of the Ischemic Stroke Lesion Segmentation (ISLES2018) dataset. In limited annotated data sets, we show that HUT-NSS gained 7.87% of the dice score over USSLNet when we used 50% of the annotated data sets for training. …”
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Automated assessment of bridge guardrails for regional prioritization based on open-source data and deep learning algorithms by Giuseppe Santarsiero

“…Moreover, the limited availability of financial resources, combined with the lack of adequately trained personnel, makes it difficult for these entities to effectively assess the condition of such critical infrastructure, even though, in most cases, it is only necessary to recognize the barrier code compliance, which could be done even by less trained personnel. …”
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