The data myth: interrogating the evidence base for evidence-based peacebuilding by Roger Mac Ginty, Pamina Firchow

“…Our discussion is concerned with issues of power, inclusion, and exclusion, and particularly how knowledge hierarchies attend to the collection and use of data in relation to conflict-affected contexts. We therefore question the axiomatic nature of these data myth claims and argue that the structure and dynamics of peacebuilding actors perpetuate the myth. …”
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TOPSIS-RTCID for range target-based criteria and interval data by A. Jahan, M. Yazdani, K.L. Edwards

“…This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. …”
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Environmental data provide marginal benefit for predicting climate adaptation. by Forrest Li, Daniel J Gates, Edward S Buckler, Matthew B Hufford, Garrett M Janzen, Rubén Rellán-Álvarez, Fausto Rodríguez-Zapata, J Alberto Romero Navarro, Ruairidh J H Sawers, Samantha J Snodgrass, Kai Sonder, Martha C Willcox, Sarah J Hearne, Jeffrey Ross-Ibarra, Daniel E Runcie

“…We find that maize yield traits are best predicted by genome-wide relatedness and population structure, and that incorporating envGWAS-identified variants or environment-of-origin data provide little additional predictive information. …”
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Fingerprint-Based Deduplication for Renewable Energy Data On-Site Analyzing by Zeng Zeng, Liyuan Gao, Hongyue Ma, Wenjing Li

“…By studying fine-grained data fingerprinting and neural network-based renewable energy data edge-analysis technologies, we have enabled edge processing of data, reducing latency and privacy issues, and enhancing the system’s real-time processing capabilities and responsiveness.…”
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SENTINEL SYSTEM – electronic system for collecting real-world data by E. O. Eremenko, M. I. Baranova

“…The need to use more and more data to generate evidence in response to new challenges in clinical medicine requires a specific response from the healthcare system. …”
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Isolation Forests for Symbolic Data as a Tool for Outlier Mining by Marcin Pełka, Andrzej Dudek

“…The paper aims to propose how to adapt isolation forests for symbolic data case. Methodology: Isolation forest for symbolic data is used to detect outliers in four different artificial datasets with known cluster structure and a known number of outliers. …”
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An innovative Data sharing and Visualisation Tool (DAVIT) to improve domestic abuse data insight and multi-agency collaborations: An explorative study of acceptability, relevance a... by N. Gityamwi, M. Toma, C. Bertoncin, S. Dicerto, O. Lapite, J. Armes

“…A clear data governance structure and data sharing framework will help the implementation of DAVIT.…”
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Enabling data-driven design of block copolymer self-assembly by Chiara Magosso, Irdi Murataj, Michele Perego, Gabriele Seguini, Debra J. Audus, Gianluca Milano, Federico Ferrarese Lupi

“…This database follows the digital International System of Units principles and is complemented by a graphical user interface for process metadata insertion and an automated algorithm for image analysis to retrieve structural properties of the nanostructures. Databases such as this one, together with data-driven approaches, enable users to rationally design new materials with the desired properties by understanding the relationship between fabrication parameters and material structure. …”
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Seismic data denoising based on attention dual dilated CNN by Haixia Hu, Youhua Wei, Hui Chen, Xingan Fu, Ji Zhang, Quan Wang, Shiwei Cai

“…Traditional noise suppression methods often result in the loss of critical signals, affecting subsurface structure characterization. This study introduces an innovative Attention Dual-Dilated Convolutional Neural Network (ADDC-Net) to address random noise in seismic data. …”
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GRILSS: opening the gateway to global reservoir sedimentation data curation by S. Minocha, F. Hossain

“…By curating the information from numerous sources with disparate formats in a homogenized data structure, GRILSS serves as an invaluable resource for water managers, policymakers, and researchers for improved sediment management strategies. …”
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Deep Learning-Based Data-Assisted Channel Estimation and Detection by Hamidreza Hashempoor, Wan Choi

“…We introduce a novel structure empowered by deep learning models, accompanied by a thorough training methodology, for enhancing channel estimation and data detection in multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. …”
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Protocol to decipher complex spatial transcriptomics data using STMiner by Peisen Sun, Mingxuan Li, Kai Ye

“…Summary: Complex spatial transcriptomics (ST) data analysis can be challenging due to uneven sampling, sparsity, and ambiguous tissue boundaries. …”
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Violin Plots: An Enhanced Tool for Data Visualization in Health Studies by Zohreh Shishebor, Zahra Sajjdnia, Maryam Sharafi

“…Statistical tests assume a certain structure in the data; visual inspection helps determine if that assumption is justified. …”
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Patient-specific data fusion defines prognostic cancer subtypes. by Yinyin Yuan, Richard S Savage, Florian Markowetz

“…Different data types can offer complementary perspectives on the same biological phenomenon. …”
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Cyclical hybrid imputation technique for missing values in data sets by Kurban Kotan, Serdar Kırışoğlu

“…The algorithm takes into account individual missing values using column-based imputation features and the overall data structure using row-based imputation features. …”
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Data Mining Between Classical and Modern Applications: A Review by Ammar Yaseen Abd Alazeez

“…What's more, there are some generally new and energizing zones of information investigation, for example, spatial DM and graph DM that have been made conceivable through the structure squares of DM techniques. This survey not just advantages analyst to create solid examination subjects and distinguish gaps in the research areas yet additionally helps experts for data mining and Big Data (BD) software framework advancement.…”
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Assessment of Fire Dynamics in the Amazon Basin Through Satellite Data by Humberto Alves Barbosa, Catarina Oliveira Buriti, Tumuluru Venkata Lakshmi Kumar

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Interpretable correlator Transformer for image-like quantum matter data by Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt

“…While local correlation structures in image-like data of physical systems can reliably be detected, identifying phases of matter characterized by global, non-local structures with interpretable ML methods remains a challenge. …”
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Hierarchical Event Descriptor library schema for EEG data annotation by Dora Hermes, Tal Pal Attia, Sándor Beniczky, Jorge Bosch-Bayard, Arnaud Delorme, Brian Nils Lundstrom, Christine Rogers, Stefan Rampp, Seyed Yahya Shirazi, Dung Truong, Pedro Valdes-Sosa, Greg Worrell, Scott Makeig, Kay Robbins

“…We demonstrate that the HED-SCORE library schema can be used to annotate events in EEG data stored in the Brain Imaging Data Structure (BIDS). …”
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Constraining viscous-fluid models in f(Q) gravity with data by Shambel Sahlu, Renier T. Hough, Amare Abebe, Álvaro de la Cruz-Dombriz

“…Abstract We investigate the impact of bulk viscosity on the accelerating expansion and large-scale structure formation of a Universe in which the underlying gravitational interaction is described by f(Q) gravity. …”
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