Article in Nanoscale advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
13 authors.
In Kyung BaekDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0005-8640-7171
Soo Hyung LeeDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0007-2471-9385
Yoon Ho JangDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0004-2071-2731
Hyungjun ParkDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0004-6482-1024
Jaehyun KimDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0002-1480-2517
Sunwoo CheongDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0002-5275-7155
Sung Keun ShimDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0008-3718-1833
Janguk HanDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0000-1588-1005
Joon-Kyu HanSystem Semiconductor Engineering and Department of Electronic Engineering, Sogang University 35 Baekbeom-ro, Mapo-gu Seoul 04107 Republic of Korea.ORCID https://orcid.org/0000-0002-8736-9091
Gwang Sik JeonDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0000-0002-0127-9969
Dong Hoon ShinDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0009-0003-0024-0442
Kyung Seok WooDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0000-0001-9184-7255
Cheol Seong HwangDepartment of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University Seoul 08826 Republic of Korea kevinwoo@snu.ac.kr cheolsh@snu.ac.kr.ORCID https://orcid.org/0000-0002-6254-9758
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Bayesian networks and Bayesian inference, which forecast uncertain causal relationships within a stochastic framework, are used in various artificial intelligence applications. However, implementing hardware circuits for the Bayesian inference has shortcomings regarding device performance and circuit complexity. This work proposed a Bayesian network and inference circuit using a Cu
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Implementation of Bayesian networks and Bayesian inference using a Cu · full record | OpenQuestion