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PAHs emission inventory includeing BaP, PHE;
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Measurements of flow velocities under travelling magnetic field impact for the experimental set-up from http://www.mhd.sal.lv/contents/2017/3/MG.53.3.14.R.html
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We present the overall design and the implementation of the CLAS dataset, a multimodal resource which was purposely developed in support of research and technology development (RTD) activities oriented towards the automated recognition of some specific states of mind. Although the particular focus of our research is on the states of mind associated with negative emotions, mental strain and high cognitive effort, the CLAS dataset could offer an adequate support to research of a wider scope, such as general studies on attention assessment, cognitive load assessment, emotion recognition, as well as stress detection. The dataset consists of synchronized recordings of physiological signals, such as Electrocardiography (ECG), Plethysmography (PPG), ElectroDermal Activity (EDA), as well as accelerometer data, and metadata of 62 healthy volunteers, which were recorded while involved in three interactive tasks and two perceptive tasks. The interactive tasks aim to elicit different types of cognitive effort and included solving sequences of Math problems, Logic problems and the Stroop test. The perceptive tasks make use of images and audio-video stimuli, purposely selected to evoke emotions in the four quadrants of the arousal-valence space. The joint analysis of success rates in the interactive tasks and the information acquired through the questionnaire and the physiological recordings enables for a multifaceted evaluation of specific states of mind. These results are important for the advancement of research on efficient human-robot collaborations and general research on intelligent human-machine interaction interfaces.
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The data is reported in the article entitled "Estimation of the Critical Infiltration Rate for Air Compression During Infiltration" written by Yunbo Wei, Kouping Chen and Jichun Wu. The air pressure data can be found in the file "Figure3 - air pressure.xlsx". The air saturation data of Figure 4 is named in the form of "grade_rate.txt". The matlab programs that draw Figure 7 and 8 is can be found in the file "Figure7.m" and "Fiugre8.m". The data in other figures, as well as the calculation process, can be found in the corresponding files.
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data
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The promyelocytic leukemia (PML) body is a phase-separated nuclear structure physically associated with chromatin, implying its crucial roles in genome functions. However, its role in transcriptional regulation is largely unknown. We developed APEX-mediated chromatin labeling and purification (ALaP) to identify the genomic regions proximal to PML bodies. We found that PML bodies associate with active regulatory regions across the genome and with an ~300 kb of the short arm of the Y chromosome (YS300) in mouse embryonic stem cells. The PML body-association with YS300 is essential for the transcriptional activity of the neighboring Y-linked clustered genes. Mechanistically, PML bodies provide specific nuclear spaces that the de novo DNA methyltransferase DNMT3A cannot access, resulting in the steady maintenance of a hypomethylated state at Y-linked gene promoters. Our study underscores a new mechanism for gene regulation in the 3D-nuclear space and provides insights into the functional properties of nuclear structures for genome function.
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A diazirine-containing unnatural amino acid was site-specifically incorporated into IFITM3, an antiviral protein. After photo-irradiation, the interacting proteins were crosslinked with IFITM3, isolated by immunoprecipitation, and identified by quantitative SILAC proteomics.
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Data from a behavioral pilot study including the factors 'distractor number' (0,1,or n), cue-target SOA (0 va 300 ms), and presentation mode (separated vs superimposed streams). Data from an ERP experiment including the factors 'cue-alone vs cue+target', 'hit vs miss', and electrode position.
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In this work we present ZEFR, a GPU accelerated flow solver based around the high-order accurate flux reconstruction (FR) approach. Written in a combination of C++ and CUDA, ZEFR is designed to perform scale resolving simulations within the vicinity of complex geometrical configurations. A unique feature of ZEFR is its support for overset grids; a feature which greatly expands the addressable problem space compared with existing high-order codes. The C++ implementation of FR in a manner which is suitable for modern hardware platforms is described in detail. Additionally, an overview of the input deck used by ZEFR is included. Validation results are presented for a range of steady and unsteady flow problems including Couette flow, the Taylor–Green vortex, and flow around an SD7003 aerofoil. Single node performance on a NVIDIA V100 GPU is analysed where it is shown that all of the kernels in ZEFR attain a high proportion of peak memory bandwidth. Moreover, multi-node performance is also assessed with strong scalability being demonstrated from 60 to 3840 NVIDIA V100 GPUs.
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Modelling and simulation of a Flexible Manufacturing System with AGV transport
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