Contributors: zhiqing yuan
... All of the data are corresponding to the images in the paper. One can find the data by the sample number or the Figure number noted on the file title. The XRD data are XY format, which can be opened by using Word or Notepad.
Contributors: Bill Wu
... Data and scripts relate to the project "Render a virtual light source like a real one: A critical band of luminance gradients for the Glare Illusion"
Contributors: chi-hoon song
... This is raw and analysis data for empirical study, entitled entitled “Integrating Multidimensional Dependability with the Technology Acceptance Model: A Study of Adoption of Cloud Computing at the Organizational Level”. This study investigated how perceived dependability affects user acceptance by integrating perceived dependability with the technology acceptance model in the context of cloud computing. In this study, perceived dependability was treated as a multi-dimensional variable and conceptualized as a second-order construct. A total of 216 samples (organizational managers) were analyzed using the structural equation modeling. IBM SPSS AMOS 23 tool was used for data analysis. For file 1 (1. Survey in Korean), this is a Korean version. If researchers want a English version, they can use "Appendix A." in our original article. For file 2 (2. DATASET (216)), researchers can use this for their own analysis contexts. This spss file also contains the values obtained from item parceling technique this study used. For other files (file 3, 4, 5, 6), they are the results of using Excel to calculate CR and AVE values. This data is valuable because no other research have empirically considered the multidimensional approach to dependability. These empirical data can provide academic researchers and businesses with insights on organizational level adoption of cloud computing.
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Contributors: Hyungjun Cho, Peng Liu, Jothir Pichanndi, Taunia Closson, Daniel Majonis, Patricia Leighton, Eric Swanson, olga ornatsky, Vladimir Baranov, Mitchell Winnik
... MCP for Zr and its Use in CyTOF
Contributors: Upekha Delay, Sajan Dissanayake, Thoshara Nawarathne, Wishmi Wasalaarachchi, Anupama Hetti Arachchi, Sachitha Abeywardhana, Thanushi Withanage, Samitha Gunarathne, Mervyn Parakrama Ekanayake, G. M. R. I. Godaliyadda
... Experimental paradigm This data set consists of Tri-axial accelerometer measurements of fetal movement from 13 subjects. This data set consists of three different classes, namely mother’s laugh (class 1), mother’s respiratory movements (class 2) and fetal movements (class 3). A single session was recorded for each subject. Each session lasted for approximately 10 to 20 minutes. Initially the subject was requested to fill out the following form. 1. Subject’s age : ……………………………………………………… 2. Fetal age : ……………………………………………………… 3. Gender of the fetal : ……………………………………………………… 4. Number of previous pregnancies : ……………………………………… 5. Other : ……………………………………………………… At the beginning of each session the sensor was fixed and the subject was instructed to settle in to a comfortable position. She was then instructed to press the corresponding button on the device when she feel a fetal movement. And the button corresponding to mother’s laugh was pressed by an experimenter. Data recording MPU 9250(a Tri-axial accelerometer) was used to record data. It has an inbuilt 3-axis accelerometer and a 3-axis gyroscope. The MPU 9250 is a passive device which measures the fetal vibration incident on the maternal abdomen. This is used considering the health benefits of the mother and the baby. The signal was sampled at 280Hz. All the data was recorded and transferred to a PC.
Contributors: Joshua Soderholm
... The following collection is used to demonstrate the HailPixel survey technique as part of an AGU GRL publication. The following is an abstract for this paper: A new technique, named "HailPixel," is introduced for measuring the maximum dimension and intermediate dimension of hailstones from aerial imagery. The photogrammetry procedure applies a convolutional neural network for robust detection of hailstones against complex backgrounds and an edge detection method for measuring the shape of identified hailstones. This semi-automated technique is capable of measuring many thousands of hailstones within a single survey, which is several orders of magnitude larger than population sizes from existing sensors (e.g., a hail pad). Comparison with a co-located hail pad for an Argentinan hailstorm event demonstrates the larger population size of the HailPixel survey significantly improves the shape and tails of the observed hail size distribution. When hailfall is sparse, such as during large and giant hail events, the large survey area of this technique is especially advantageous for resolving the hail size distribution. The dataset contains the DEM and orthomosaic imagery, processing reports, final location of hail centroids, final measurements of hail major and minor axis, subset offsets and hail pad data. For more information applying the subset offsets to calculate the true position of the hail centroids please see the paper.
Contributors: Masato Ogishi
... Performance test results of the Repitope v3.0.1.(https://github.com/masato-ogishi/Repitope) The suggested cutoffs are 0.36 and 0.54 for MHC-I and MHC-II, respectively.
Data for: A geomorphology based reconstruction of ice volume distribution at the Last Glacial Maximum across the Southern Alps of New Zealand
Contributors: William James, Duncan Quincey, Jonathan Carrivick, Neil Glasser
... Modeled LGM ice thickness for the New Zealand Southern Alps
Contributors: Denis Mikryukov
... Here we store the coefficients of the planetary disturbing function in computer-readable form. These were obtained by Maxima computer algebra system. The method is described by Laskar and Robutel (CMDA, 62, 193-217, 1995). We should note that our coefficients of secular Hamiltonian up to degree 4 coincide with those presented by Laskar and Robutel (see Section 7, CMDA, 62, 193-217, 1995). Therefore we hope that our expansions are error free. We plan to provide more thorough and complete comments on all of these data in the near future.
Astragalus granule ameliorates renal injury in diabetic rats and patients with diabetic kidney disease
Contributors: Teng Chen
... 1 Astragalus granule with losartan alleviated STZ-induced renal injury in DKD rats Significantly reduced kidney/body weight ratios and BUN were observed in AG+losartan group and Losartan group compared to Model group (P<0.01)(Figure 1). Compared to the losartan group, the ACR were also significantly reduced in AG+losartan group (P<0.05)(Figure 2). The results of histopathological tests of the renal tissues at the end of the experiment are shown in Figures 3. Pathological renal lesion significantly worsened in the model group. AG+losartan and losartan relieved glomerular hypertrophy and mesangial expansion (Figure 3). 2 In comparison with controls, the expression of TLR4, MyD88 and p-NF-κB significantly increased in the model group (P<0.05). After 12 weeks of treatment with Astragalus granules and losartan, the expression of TLR4, MyD88 and p-NF-κB protein decreased in the AG+losartan group and Losartan group (P<0.05). Compared to the losartan group, TLR4, MyD88 and p-NF-κB were also significantly reduced in AG+losartan group. In the all groups the level of NF-κB was not statistically different (Figure 4). 3 Astragalus granulesinhibited STZ-induced TNF-α and IL-1β generation in DKD rats Renal inflammation plays a key role in promoting the occurrence and development of DKD. To explore whether Astragalus granules could affect STZ-induced inflammatory cytokines production, ELISA was performed to detect the levels of TNF-α and IL-1β in blood of DKD rats. An apparent upregulation was observed in the levels of TNF-α and IL-1β in blood of DKD rats, while astragalus granules and losartan treatment strikingly inhibited the increase of TNF-α and IL-1β in DKD rats (Figure 5). 4 Astragalus granules alleviated renal injury in DKD patients The study was conducted as a randomized, controlled, prospective study. Patients were recruited over a time period of six months. Overall, 60 DKD patients with control group (n=30) and AG+losartan group (n=30) were included. The characteristics are in Table 1. There were no significantly different between the control group and AG+losartan group (Table 1). With 12 weeks treatment, the ACR in control group and AG+losartan group were significantly lower than 12 weeks ago. Meanwhile, compared to the control group, the ACR were significantly reduced in AG+losartan group (P<0.05). Alanine transaminase (ALT), Aspartic transaminase (AST), Blood urea nitrogen (BUN), Serum creatinine (SCR), Serum uric Acid (SUA), Glomerular filtration rate (GFR) and Kalium (K) were similar among the groups (Table 2). 5 Astragalus granulesinhibited TNF-α and IL-1β generation in DKD patients. ELISA was performed to detect the levels of TNF-α and IL-1β in blood of DKD patients. With 12 weeks treatment, astragalus granules and losartan treatment strikingly inhibited the increase of TNF-α and IL-1β in DKD rats (P<0.05)(Figure 6). But there was no significantly different in control group.