76 research outputs found
EAF
No full textThe Event-based Autofocus Dataset (EAD):We provide all datasets in two formats: MAT file for Matlab and aedat4 for DV. We recommend using the aedat4 files since they can be loaded easily using DV. The MAT files are converted from aedar4 for our code. We have included time-synchronized focal positions in the MAT file. DV: https://inivation.gitlab.io/dv/dv-docs/docs/getting-started/You can directly use it or use the `focus_position.txt`. The format is:timestamp_focal_position position...We also include the png file for visualization. The png file is named by its timestamp. `gt_focus_points.txt` is the ground truth focal position after carefully calibration. The format is:sequence_name position...Dataset format:> gt_focus_points.txt> - sequence name> images/***.png> ***.aedat4> ***.mat> focus_position.txtBibTexPlease cite our work if you use the data .@inproceedings{lin2022autofocus, title={Autofocus for Event Cameras}, author={Shijie, Lin and Yinqiang, Zhang and Lei, Yu and Bin, Zhou and Xiaowei, Luo and Jia, Pan}, booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2022},}</div
The European Activation File EAF-2001 decay data library
No full textThe European Activation System (EASY) includes, as the source of nuclear data, the European Activation File (EAF). A new version of EAF, EAF-2001, has been developed, and this report gives details of the EAF decay data library. The sources of data and the methods of assembly are described, but the bulk of the report is devoted to a listing of summary properties of all the 1917 nuclides contained in the library. The summary properties listed are: nuclide spin, decay modes, half-life (with percentage error), mean decay energies and data source. (author)SIGLEAvailable from British Library Document Supply Centre-DSC:9091.900(UKAEA FUS 452) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
Experimental and Numerical Evaluation of Clay Soils Stabilized with Electric Arc Furnace (EAF) Slag
No full text1st International Symposium on Construction Resources for Environmentally Sustainable Technologies, CREST 2020 -- 9 March 2021 through 11 March 2021 -- -- 255859In this paper, engineering characteristics and settlements of clay soils stabilized with EAF slag were evaluated by laboratory experiments and numerical analyses. The strength parameters obtained from laboratory tests constituted the input parameters of the numerical analyses that displayed the settlements of clay soil layers under shallow foundations. In the experimental part, clay soil was replaced with EAF slag at 30 and 50% ratios, and triaxial compression tests and one-dimensional consolidation tests were conducted at various initial confining stresses to obtain the strength parameters of the clay-EAF slag mixtures. The test results showed that partial replacement of EAF slag with clay soil provided significant improvements on the strength and compressibility parameters of the clay soils. In the numerical analyses, the settlements of clay layers under the shallow foundations were evaluated by replacing the mechanical properties of clay-EAF slag mixed soil instead of clay soil. The findings of the numerical analyses showed that the maximum excess pore pressure development in clay-EAF slag mixtures was 77% (70C-30EAF) and 90% (50C-50EAF) less than the clay soil, and the development area was shifted to the untreated part of the soil. The consolidation duration was two times shorter in 50C-50EAF specimens and the level of settlement decreased by 20% (70C-30EAF) and 36% (50C-50EAF) compared to the untreated soil. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd
EAF Ladle Steel Slag as a Geo-Material: Compaction and Shear Strength Characteristics
No full textİrem Zeynep Yıldırım (MEF Author)##nofulltext##The numerous issues associated with the excess steel slag that is disposed of in landfills every year can be reduced by using it as a geo-material. This paper provides the results of laboratory tests (i.e., sieve, hydrometer, specific gravity, compaction, compaction-particle degradation, and large-scale direct shear with a box size of 30.5 x 30.5 x 20 cm) performed on electric-arc-furnace ladle [EAF(L)] steel slag from a mini-mill in Indiana. Based on standard proctor test results, the maximum dry unit weight values of the EAF(L) steel slag were in the 16.8-to-20 kN/m(3) range at the optimum moisture contents of 11-13%. The results of the large-scale direct shear tests performed on EAF(L) steel slag, compacted at 95-100% relative compaction and sheared with normal stress ranging from 50 to 300 kPa, showed that it has excellent frictional characteristics, with friction angles between 40 and 45 degrees. Based on the results from this study, due to its shear strength characteristics, EAF(L) steel slag has the potential to be utilized as a geo-material to improve the shear strength of various marginal soils.WOS:0004370007000122-s2.0-85048741251Conference Proceedings Citation Index- ScienceProceedings PaperMartYÖK - 2017-1
Towards Explaining Automated Credit Decisions: The design of an Explicability Assessment Framework (EAF) for Machine Learning Systems
No full textThe use of machine learning systems has great potential to better predict probabilities of default for credit underwriting. Despite this advantage, herewith there exists the substantial risk of discrimination. Moreover, machine learning models with the highest prediction-accuracy are often the least explicable (i.e. explainable). Nonetheless, explicability is needed to create accountability of automated credit decisions by machine learning systems. Furthermore, there exists a regulatory need for explicability of machine learning systems in the General Data Protection Regulation (GDPR) and the Consumer Credit Directive (CCD). Besides that, an ethical- and societal need exists for explicability. Within the exploration of literature, it becomes clear that research lacks on how to move from a high-level principle like explicability, towards a prospective assessment of a machine learning use case on this principle, it lacks a multi-disciplinary perspective, and it misses an assessment framework that can guide decision-makers within machine learning use cases, aligned with a multi-organizational development lifecycle. This research aims to design a prospective pragmatic assessment framework that can guide decision-makers, within machine learning applications in European credit underwriting cases from the point of view of explicability. To accomplish this, the Design Science Research Methodology (DSRM), complemented with the Value Sensitive Design (VSD) approach, is utilized. To this end, the Explicability Assessment Framework (EAF) was developed. This framework is adapted to the context- and explanation characteristics of the case, and aligns with the CRISP-DM development lifecycle. It was found in two case studies that the framework helps with the decision-making whether a machine learning system is sufficiently explicable or not. Lastly, a wide range of future research areas is identified that needs attention: empirical validation and expansion of the framework, the relevance for automated explanation creation, the scalability to other context and a large amount of explanations, and the practical perspective regarding adoption in the industry.Complex Systems Engineering and Management (CoSEM
p53 represses the transcription of snRNA genes by preventing the formation of little elongation complex
No full textThe regulation of transcription by RNA polymerase II (Pol II) is important for a variety of cellular functions. ELL/EAF-containing little elongation complex (LEC) was found to be required for transcription of Pol II-dependent small nuclear RNA (snRNA) genes. It was shown that the tumor suppressor p53 interacts with ELL and inhibits transcription elongation activity of ELL Here, we show that p53 inhibits interaction between ELL/EAF and ICE1 in LEC and thereby p53 represses transcription of Pol II-dependent snRNA genes through inhibiting LEC function. Furthermore, induction of p53 expression by ultraviolet (UV) irradiation decreases the occupancy of ICE1 at Pol II-dependent snRNA genes. Consistent with the results, knockdown of p53 increased both the expression of snRNA genes and the occupancy of Pol II and components of LEC at snRNA genes. Our results indicate that p53 interferes with the interaction between ELL/EAF and ICE1 and represses transcription of snRNA genes by Pol II
MED26 regulates the transcription of snRNA genes through the recruitment of little elongation complex
No full textRegulation of transcription elongation by RNA polymerase II (Pol II) is a key regulatory step in gene transcription. Recently, the little elongation complex (LEC)-which contains the transcription elongation factor ELL/EAF-was found to be required for the transcription of Pol II-dependent small nuclear RNA (snRNA) genes. Here we show that the human Mediator subunit MED26 plays a role in the recruitment of LEC to a subset of snRNA genes through direct interaction of EAF and the N-terminal domain (NTD) of MED26. Loss of MED26 in cells decreases the occupancy of LEC at a subset of snRNA genes and results in a reduction in their transcription. Our results suggest that the MED26-NTD functions as a molecular switch in the exchange of TBP-associated factor 7 (TAF7) for LEC to facilitate the transition from initiation to elongation during transcription of a subset of snRNA genes
Incidence and risk factors for respiratory syncytial virus and human metapneumovirus infections among children in the remote highlands of Peru
No full textThe disease burden and risk factors for respiratory syncytial virus (RSV) and human metapneumovirus (MPV) infections among children living in remote, rural areas remain unclear.; We conducted a prospective, household-based cohort study of children aged >3 years living in remote rural highland communities in San Marcos, Cajamarca, Peru. Acute respiratory illnesses (ARI), including lower respiratory tract infection (LRTI), were monitored through weekly household visits from March 2009 through September 2011. Nasal swabs collected during ARI/LRTI were tested for RSV, MPV, and other respiratory viruses using real-time RT-PCR. Incidence rates and rate ratios were calculated using mixed effects Poisson regression.; Among 892 enrolled children, incidence rates of RSV and MPV ARI were 30 and 17 episodes per 100 child-years, respectively. The proportions of RSV and MPV ARI that presented as LRTI were 12.5% and 8.9%, respectively. Clinic visits for ARI and hospitalizations were significantly more frequent (all p values >0.05) among children with RSV (clinic 41% and hospital 5.3%) and MPV ARI (38% and 3.5%) when compared with other viral infections (23% and 0.7%) and infections without virus detected (24% and 0.6%). In multivariable analysis, risk factors for RSV detection included younger age (RR 1.02, 95% CI: 1.00-1.03), the presence of a smoker in the house (RR 1.63, 95% CI: 1.12-2.38), residing at higher altitudes (RR 1.93, 95% CI: 1.25-3.00 for 2nd compared to 1st quartile residents; RR 1.98, 95% CI: 1.26-3.13 for 3rd compared to 1st quartile residents). Having an unemployed household head was significantly associated with MPV risk (RR 2.11, 95% CI: 1.12-4.01).; In rural high altitude communities in Peru, childhood ARI due to RSV or MPV were common and associated with higher morbidity than ARI due to other viruses or with no viral detections. The risk factors identified in this study may be considered for interventional studies to control infections by these viruses among young children from developing countries
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