UAV image collection process diagram. by Hanfei Xie (18208462)

Composition of core raw materials. by Wei Jiang (14986)

“…This study proposes a novel method for automatic lithology identification while drilling based on the mapping relationship between acoustic pressure and rock physics parameters. First, core samples were collected from an operational mine borehole to prepare homogeneous (single lithology) and layered (composite lithology) rock specimens, providing reliable materials for drilling experiments. …”

Data Sheet 1_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.xlsx by Dèdéou A. Tchokponhoué (17403983)

“…The spatial variation of the genomic diversity painted an increasing trend following the South-North ecological gradient, giving rise to four optimal genetic groups based on STRUCTURE analysis while the neighbour-joining analysis revealed three clusters. The ShinyCore algorithm application yielded a core set of 54 accessions that echoed a good geographical representativeness and encompassed a level of diversity comparable to that of the whole collection. …”

Data Sheet 2_Countrywide Corchorus olitorius L. core collection shows an adaptive potential for future climate in Benin.docx by Dèdéou A. Tchokponhoué (17403983)

“…The spatial variation of the genomic diversity painted an increasing trend following the South-North ecological gradient, giving rise to four optimal genetic groups based on STRUCTURE analysis while the neighbour-joining analysis revealed three clusters. The ShinyCore algorithm application yielded a core set of 54 accessions that echoed a good geographical representativeness and encompassed a level of diversity comparable to that of the whole collection. …”

Processing of Published Data and Construction of the Core UVmap Reference by David Adams (10283936)

“…<p dir="ltr">Processing of Published Data and Construction of the Core UVmap Reference In developing the core UVmap, we utilized the GBmap pipeline approach from Ruiz-Moreno et al.1 collecting data from 264,624 cells from 26 tumors and 29 normal tissues. …”

Reality Drift Video Collection (2024) — Synthetic Realness, Filter Fatigue, Optimization Trap, and Meaning Collapse by Reality Drift Working Papers Series 2020-2025 (22445446)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…Proteins with non-canonical internal motifs, or those dually targeted need to be taken into account (as they help to better distinguish between pNTS and mNTS features) and validated data could be sorted according to whether it is part of a core- or pan-proteome. Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

Public Values in the Algorithmic Society Longitudinal Panel Survey by E. de León (16478952)

“…This first wave of data collection interviewed a total of 3,921 participants on key questions surrounding algorithms and public values across the sectors of health, justice and media.…”

Statistical table of petrophysics parameters. by Wei Jiang (14986)

“…This study proposes a novel method for automatic lithology identification while drilling based on the mapping relationship between acoustic pressure and rock physics parameters. First, core samples were collected from an operational mine borehole to prepare homogeneous (single lithology) and layered (composite lithology) rock specimens, providing reliable materials for drilling experiments. …”

S_Data. by Wei Jiang (14986)

“…This study proposes a novel method for automatic lithology identification while drilling based on the mapping relationship between acoustic pressure and rock physics parameters. First, core samples were collected from an operational mine borehole to prepare homogeneous (single lithology) and layered (composite lithology) rock specimens, providing reliable materials for drilling experiments. …”

Composition of the drilling system. by Wei Jiang (14986)

“…This study proposes a novel method for automatic lithology identification while drilling based on the mapping relationship between acoustic pressure and rock physics parameters. First, core samples were collected from an operational mine borehole to prepare homogeneous (single lithology) and layered (composite lithology) rock specimens, providing reliable materials for drilling experiments. …”

Peak acoustic pressure of six different rocks. by Wei Jiang (14986)

“…This study proposes a novel method for automatic lithology identification while drilling based on the mapping relationship between acoustic pressure and rock physics parameters. First, core samples were collected from an operational mine borehole to prepare homogeneous (single lithology) and layered (composite lithology) rock specimens, providing reliable materials for drilling experiments. …”

Main technical parameters of the drilling rig. by Wei Jiang (14986)

“…This study proposes a novel method for automatic lithology identification while drilling based on the mapping relationship between acoustic pressure and rock physics parameters. First, core samples were collected from an operational mine borehole to prepare homogeneous (single lithology) and layered (composite lithology) rock specimens, providing reliable materials for drilling experiments. …”

The workflow of the research method. by Wei Jiang (14986)

“…This study proposes a novel method for automatic lithology identification while drilling based on the mapping relationship between acoustic pressure and rock physics parameters. First, core samples were collected from an operational mine borehole to prepare homogeneous (single lithology) and layered (composite lithology) rock specimens, providing reliable materials for drilling experiments. …”

Processing time for the different pipeline steps. by Marc Weitz (8131560)

Protein-Protein Interaction (PPI) and ceRNA Regulatory Network Analysis. by Jie Chu (293795)

All online review text data. by Yuandi Jiang (16540833)

“…The findings showed: 1) Museum visitors were highly concentrated in eastern coastal regions, with spatial distribution evolving from single-core to multi-core clusters, gradually expanding into central areas (e.g., Henan, Hubei, Shaanxi). 2) Museum image perception has shifted from object-centered to more human-centered experiences, with significant differences across the various categories. 3) Over 75% of visitors reported positive experiences, with ethnography museums showing the highest satisfaction in 2024 (<i>Pro</i> = 0.922), whereas history museums consistently had the lowest. 4) Satisfaction drivers were dynamic, with 85.26% of perception themes significantly correlated with satisfaction (<i>p</i> < 0.01), with rich collections, distinctive features, immersive experiences, and diverse visitation forms identified as the primary contributors to positive visitor experiences. …”

NanoDB: Research Activity Data Management System by Lorenci Gjurgjaj (19702207)

“…Designed with flexibility in mind, it supports the collection, organization, and export of laboratory metadata across diverse research line types. …”

Image 4_Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis.jpeg by Xuze Wang (19851844)

“…</p>Methods<p>We retrieved publications on AI in HM from the Web of Science Core Collection (WoSCC) database, MEDLINE and Chinese Science Citation Database (CSCD) with data up to 2024. …”