Additional file 3: of Epstein-Barr virus positive peripheral T cell lymphoma with novel variants in STAT5B of a pediatric patient: a case report

Figure S2. PET-CT images of the patients. This figure shows PET-CT results of the patient (pre-treatment, after 2 cycles of chemotherapy and after 8 cycles of chemotherapy). A: Pre-treatment PET-CT showed multiple lesions in subcutaneous tissue, muscle et al. B: PET-CT after 2 cycles of SMILE regimen, DS = 5. C: PET-CT after 8 cycles of modified SMILE regimen, complete remission. (TIFF 5450 kb

Additional file 1: of Epstein-Barr virus positive peripheral T cell lymphoma with novel variants in STAT5B of a pediatric patient: a case report

Figure S1. IgH, IgK and TCR rearrangement. This figure shows results of IgH, IgK and TCR rearrangement. A: IgH and IgÎş testing: No obvious clonal peak was detected (The peak in blue is normal according to the testing instruction). B: TCRÎł testing: Clonal peak was detected (The peak in green). (TIFF 4875 kb

Additional file 2: of Epstein-Barr virus positive peripheral T cell lymphoma with novel variants in STAT5B of a pediatric patient: a case report

STAT5B variant investigation by Sanger Sequencing. This file provides the method of STAT5B variant investigation by Sanger Sequencing in details. (DOCX 13 kb

Additional file 5: of Epstein-Barr virus positive peripheral T cell lymphoma with novel variants in STAT5B of a pediatric patient: a case report

Table S2. The clinicopathological difference in ENKTL, STLC and our case. This table shows 2 main kinds diseases which should be considered as differential diagnosis and summarizes the key points in differentiation. (DOCX 15 kb

Additional file 4: of Epstein-Barr virus positive peripheral T cell lymphoma with novel variants in STAT5B of a pediatric patient: a case report

Table S1. Summary of pediatric EBV + PTCL cases. This table shows the clinical features and outcomes of the published pediatric EBV + PTCL cases. (DOCX 14 kb

Microstructure and Flight Behaviors of Droplet and its Solidification in Twin-Wire Arc Sprayed Ni-Al Composite Coatings

<div><p>Droplet flight and solidification behaviors during twin-wire arc sprayed (TWAS) composite coatings were systematically investigated. Both theoretical model and numerical method were established for calculating the droplet deformation, breakup and solidification process in air flow based on the volume of fluid (VOF) dual-phase flow model jointed with the standard k-ε model. The experimental simulation results indicate that TWAS droplet is broken through explosion or two steps breaking process. The calculation of TWAS gas flight dynamics demonstrates that the TWAS particles are accelerated at first and then slowed down. Microstructure of the TWAS prepared Ni-5wt.%Al and Ni-20wt.%Al composite coating was accordingly characterized by XRD, SEM and TEM, so the phase compositions of the Ni-Al composite coatings were obtained. TEM analysis also showed that an amorphous phase was formed according to the characteristic of diffraction ring in Ni matrix solid solution at an original state.</p></div

Microstructure and Flight Behaviors of Droplet and its Solidification in Twin-Wire Arc Sprayed Ni-Al Composite Coatings

<div><p>Droplet flight and solidification behaviors during twin-wire arc sprayed (TWAS) composite coatings were systematically investigated. Both theoretical model and numerical method were established for calculating the droplet deformation, breakup and solidification process in air flow based on the volume of fluid (VOF) dual-phase flow model jointed with the standard k-ε model. The experimental simulation results indicate that TWAS droplet is broken through explosion or two steps breaking process. The calculation of TWAS gas flight dynamics demonstrates that the TWAS particles are accelerated at first and then slowed down. Microstructure of the TWAS prepared Ni-5wt.%Al and Ni-20wt.%Al composite coating was accordingly characterized by XRD, SEM and TEM, so the phase compositions of the Ni-Al composite coatings were obtained. TEM analysis also showed that an amorphous phase was formed according to the characteristic of diffraction ring in Ni matrix solid solution at an original state.</p></div

Improving rice population productivity by reducing nitrogen rate and increasing plant density

<div><p>In terms of tillering potential, the aboveground portions of rice are significantly influenced by the nitrogen level (NL) and transplant density (TD). To obtain a suitable combination of NL and TD, five NLs (0, 90, 180, 270 and 360 kg ha^-1) and two TDs [high density (HD), 32.5×10⁴ hills ha^-1; low density (LD), 25.5×10⁴ hills ha^-1] were used in the rice experiments during 2012 to 2014, in Jiangsu, China. The results showed the highest grain yield of rice obtained at HD and LD when N supply was 180 and 270 kg ha^-1, respectively. That’s because there are more tillers per unit area, a larger leaf biomass fraction of total aboveground biomass, a larger leaf area index (LAI) and a larger canopy photosynthesis potential (CPP) at HD. It can be concluded that, higher rice planting densities resulted in less N inputs, while more N is needed to improve single plant actual tiller ability under low density to offset the reduced planting density. When the NL was more than 180 kg ha^-1, the actual tillering ability of a single plant at LD was 20% more than that at HD. Based on these results, the supply of 1 kg N can be replaced by adding approximately 1000 planting hills per hectare. Therefore, adjusting the transplant density could be an efficient method to reduce the amount of nitrogen fertilizer and increase the nitrogen fertilizer use efficiency, which is very conducive to the sustainable development of agriculture.</p></div

Effects of N level and transplant density on nitrogen concentration in the leaf, sheath, stem, and spike (mg g^-1) of rice at different growth stages during 2012–2014.

<p>Effects of N level and transplant density on nitrogen concentration in the leaf, sheath, stem, and spike (mg g^-1) of rice at different growth stages during 2012–2014.</p

Grain yield, panicles, spikelets per panicle, filled grain rate and 1000-grain weight of rice under different N levels and transplant densities during 2012 to 2014.

<p>Grain yield, panicles, spikelets per panicle, filled grain rate and 1000-grain weight of rice under different N levels and transplant densities during 2012 to 2014.</p