Results 181 to 190 of about 726,554 (241)

The Burden of the "False-Negatives" in Clinical Development: Analyses of Current and Alternative Scenarios and Corrective Measures. [PDF]

Clin Transl Sci, 2017
Burt T, Button KS, Thom H, Noveck RJ, Munafò MR.   +4 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

How distributed processing produces false negatives in voxel-based lesion-deficit analyses. [PDF]

Neuropsychologia, 2018
Gajardo-Vidal A, Lorca-Puls DL, Crinion JT, White J, Seghier ML, Leff AP, Hope TMH, Ludersdorfer P, Green DW, Bowman H, Price CJ.   +10 more
europepmc   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Beta-binomial modeling of CRISPR pooled screen data identifies target genes with greater sensitivity and fewer false negatives. [PDF]

Genome Res, 2019
Jeong HH, Kim SY, Rousseaux MWC, Zoghbi HY, Liu Z.   +4 more
europepmc   +1 more source

Biodegradable 3D‐Printable and Coatable Antifouling Composites for Marine Applications

Advanced Functional Materials, EarlyView.
Marine biofouling damages submerged surfaces and raises greenhouse gas emissions. Biodegradable antifouling biocomposites were developed by hot‐mixing beeswax, Tween 80, and calcium stearate or stearic acid. Adjusting the component ratio enables processing via hot‐pressing, 3D‐printing, or dip‐coating.
Gabriele Corigliano, Lorenzo Ravelli, Martina Nardi, Ruowen Tu, Elena Bellini, Valerio Isa, Carlo Filippeschi, Roberta Finazzi, Luca Ceseracciu, Niloofar Paknezhad, Vincenzo Scribano, Paolo Galli, Silvia Lavorano, Simone Montano, Barbara Mazzolai, Marco Contardi, Pietro Cataldi, Athanassia Athanassiou   +17 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Poor Cervical Cancer Screening Attendance and False Negatives. A Call for Organized Screening. [PDF]

PLoS One, 2016
Castillo M, Astudillo A, Clavero O, Velasco J, Ibáñez R, de Sanjosé S.   +5 more
europepmc   +1 more source

Engineered Microvascular Model of the Blood–Brain–Tumor Barrier Reveals Endothelial Remodeling in Diffuse Midline Glioma

Advanced Healthcare Materials, EarlyView.
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett, Yann S. Vanrobaeys, Tessy Teboh, Zakiya Smith, Anderson Scott, Cynthia Hajal, Paula T. Hammond, Joelle P. Straehla   +7 more
wiley   +1 more source