dataesr/scientific-paragraphs-categorization huggingface dataset:
ACKNOWLEDGMENTS We are grateful to  Dr. John W. Steinke  from the  Asthma and Allergic Diseases Center ,  Charlottesville VA , for providing the reporter construct pGL3-IL-10 (-588). We thank Genomatix (https://www. genomatix. de) for the free 1-week trial of their software. We are also indebted to the volunteers who accepted to participate in the study along with people from the  Center National de Transfusion Sanguine (Tunis, Tunisia ) for their help in collecting blood samples. The authors also acknowledge Pr. Kanury Venkata Subba Rao  for providing MK-2206 and the staff of Small animal facility for providing mice.
After 60 min, the anti-stress enzymes are no longer able to protect the bacterial membrane against oxidation. The disinfection kinetics of E. coli bacteria were also calculated. Four classical disinfection models were checked: Chick-Watson, modified Chick-Watson, Hom and modified Hom model. In Tables  4  and 5 , the R 2 coefficient and kinetic constants calculated from the kinetic analyses of four models for E. coli photocatalytic oxidation under artificial solar light on concretes modified by addition of different types of photocatalysts are presented. As it can be seen the best fit of data was to modified Hom model. The result with the highest coefficient of determination was chosen as the best fitted and non-linear multivariate regression analysis with respect to the bacterial strains was used to determine the inactivation kinetics.
This two-parameter empirical model predicts the bacterial inactivation in a non-linear function for both N and t and is directly dependent on the model parameters n and h, respectively. Owing to the two-parameter nature of the model, it can only account for either shoulder or tailing characteristics but not both. A modification (Equation (  3 )) to incorporate an additional empirical parameter was made to accurately account for the three different inactivation characteristics log C log C 0 = -k 1 [1 -exp(-k 2 t)] k 3 (3) where: k 1 , k 2 and k 3 is the empirical constants for the modified Hom model. Analysis of obtained results was conducted using Statistica 13. 3 software (StatSoftPolska, Kraków, Poland).
To collect the information regarding the parameters of each species, we consulted numerous documentary sources from different disciplines such as taxonomy, botany, forestry, or allergology. With this information, a database of parameters for the calculation of the I UGZA was created (SafeCreative code 1803156149680, IPR-684). The VPA of each species is then combined with the average allometric parameters, i. e. , the average volume of tree canopy emitting allergens that each tree species will have upon reaching the reproductive maturity. This volume of allergen emission is calculated from S i and H i. By extending the result to S T , it is possible to know the contribution of each species to the total allergenicity of the UGS. It can also identify the species that have a greater contribution in terms of surface area or abundance of existing trees.
Finally, for each park, the percentage of grass covered area was calculated, since this data may have an impact on the final allergenicity value. The analysis of the different situations of allergenicity that can be generated in a park defined a value of I UGZA of 0. 3 as a threshold to establish the risk that the presence of allergenic species in these parks can represent for allergic people  [54]. This threshold of 0. 3 can be recorded when there are monospecific formations of allergenic species in a park, or there are planted species of moderate allergenicity among which cross-reactions can be established, or when the percentage of allergenic species in the park is higher than that of the non-allergenic species. Based on this value, the parks were classified as low (<0. 2), moderate (0.
Data Analysis In order to identify the factors with the strongest impact on the I UGZA of the different parks, a set of environmental variables was analysed. For bioclimatic variables, we used air temperature and rainfall as they are biologically meaningful  [55]. The values (average 1970-2000) were retrieved from Worldclim. org for city centres, being coded as follows: annual mean temperature (BIO1), mean diurnal range (BIO2), isothermality (BIO3), temperature seasonality (BIO4), maximum temperature of the warmest month (BIO5), minimum temperature of the coldest month (BIO6), annual temperature range (BIO7), mean temperature of the wettest quarter (BIO8), mean temperature of the driest quarter (BIO9), mean temperature of the warmest quarter (BIO10), mean temperature of the coldest quarter (BIO11), annual precipitation (BIO12), precipitation of the wettest month (BIO13), precipitation of the driest month (BIO14), seasonality precipitation (BIO15), precipitation of the wettest quarter (BIO16), precipitation of the driest quarter (BIO17), precipitation of the warmest quarter (BIO18), and precipitation of the coldest quarter (BIO19) (Figure  1 ).
The VPA of each species is then combined with the average allometric parameters, i. e. , the average volume of tree canopy emitting allergens that each tree species will have upon reaching the reproductive maturity. This volume of allergen emission is calculated from Si and Hi. By extending the result to ST, it is possible to know the contribution of each species to the total allergenicity of the UGS. It can also identify the species that have a greater contribution in terms of surface area or abundance of existing trees. Finally, for each park, the percentage of grass covered area was calculated, since this data may have an impact on the final allergenicity value. The analysis of the different situations of allergenicity that can be generated in a park defined a value of IUGZA of 0. 3 as a threshold to establish the risk that the presence of allergenic species in these parks can represent for allergic people  [53].
Data Analysis In order to identify the factors with the strongest impact on the IUGZA of the different parks, a set of environmental variables was analysed. For bioclimatic variables, we used air temperature and rainfall as they are biologically meaningful  [55]. The values (average 1970-2000) were retrieved from Worldclim. org for city centres, being coded as follows: annual mean temperature (BIO1), mean diurnal range (BIO2), isothermality (BIO3), temperature seasonality (BIO4), maximum temperature of the warmest month (BIO5), minimum temperature of the coldest month (BIO6), annual temperature range (BIO7), mean temperature of the wettest quarter (BIO8), mean temperature of the driest quarter (BIO9), mean temperature of the warmest quarter (BIO10), mean temperature of the coldest quarter (BIO11), annual precipitation (BIO12), precipitation of the wettest month (BIO13), precipitation of the driest month (BIO14), seasonality precipitation (BIO15), precipitation of the wettest quarter (BIO16), precipitation of the driest quarter (BIO17), precipitation of the warmest quarter (BIO18), and precipitation of the coldest quarter (BIO19) (Figure  1 ).
S1. S1. Tree density and Shannon diversity index  [54]  were also calculated for each park. Firstly, an exploratory analysis was performed in order to understand which variables significantly contributes to the I UGZA index. To do so, individual variables were tested with Spearman correlations and the most significant results were then submitted to a generalized linear model (GLM) with identity link (and normal distribution). All possible combinations of those significant variables were tested. Looking for the best possible model and using the parsimony principle, the model with the highest variance and with a significant contribution of all predictors was selected for further interpretation. All statistical analyses were implemented in Statistica TM software (Tibco Software Inc. , Palo Alto, CA, USA).
Acknowledgments: This work has been made possible thanks to members of the  Silva Mediterranea Working Group on Urban and Peri-Urban Forestry  ( FAO WG7 ) and  COST Action FP1204 Green Infrastructure  approach: linking environmental with social aspects in studying and managing urban forests. Nezha Acil thanks the technical staff of ISESCO park for their help during his first visit to the park. Maria Beatrice Andreucci  also thanks students  Giada Di Sante ,  Guglielmo Pirri e Daniele Purini  for her course in  Environmental Technological Design of the Master degree in Landscape Architecture at Sapienza Università di Roma  for participation in the tree inventory and  Duilio Iamonico  for the tree taxonomy classification review. The research by the  Slovenian Forestry Institute  was financially supported by the  Program and Research group   P4-0107  "Forest ecology, biology and technology" funded by the  Slovenian Research Agency.
2012; Behjati et al. 2013; Lewis et al. 2013; Lindroth and Plass 2013; Fontebasso et al. 2014; Taylor et al. 2014; Wu et al. 2014). Furthermore, not only mutation but also expression of histone chaperones is often found altered in aggressive cancer  (Corpet et al. 2011; Montes de Oca et al. 2015; Gurard-Levin et al. 2016). Thus, the developmental defects, along with situation encountered in particular cancers, underline the importance of each H3 variant and their chaperones in vertebrates. Given the limited sequence difference between H3 variants, a major puzzle is whether the need for a particular histone variant could reflect either (i) a unique mode of incorporation and provision or (ii) a distinct identity once incorporated into chromatin to drive their functions. While, the first hypothesis had been largely favored, based on previous work including ours, the issue has never been formally addressed.
Immunofluorescence and epifluorescence microscopy We first fixed A6 and HeLa B cells on coverslips for 20 min in 4% and 2% paraformaldehyde, respectively, before to permeabilize them with 0. 2% Triton X-100. We blocked them for 45min with 5% bovine serum albumin. We then incubated coverslips with primary and secondary antibodies and stained them with DAPI. We mounted the coverslips in Vectashield medium. We used a Confocal Zeiss LSM780, and we acquired images using 63×/1. 4NA under Zen blue software (Zeiss Germany). Figure Legends.
Acknowledgments We are grateful to  Dominique Ray-Gallet ,  Shauna Katz  and  Jean-Pierre Quivy  for critical reading and to members of  UMR3664  for helpful discussions. We thank  Mary Dasso  and  Aaron Straight  for Xenopus histone chaperone antibodies. This work was supported by  la Ligue Nationale contre le Cancer  ( Equipe labellisée Ligue ),  ANR-11-LABX-0044_DEEP  and  ANR-10-IDEX-0001-02   PSL ,  ANR-12-BSV5-0022-02  " CHAPINHIB ",  ANR-14-CE16-0009  " Epicure ",  ANR-14-CE10-0013  " CELLECTCHIP ",  EU  project  678563 "EPOCH28", ERC-2015-ADG-694694  " ChromADICT ",  ANR-16-CE15-0018  " CHRODYT ",  ANR-16-CE12-0024  " CHIFT ", " Parisian Alliance of Cancer Research Institutes ". DS was supported by  PSL.
So in order to be able to test unitarity at finite s, the Mathematica package SARAH has now been extended. The salient features are: (i) all tree-level diagrams with internal and external scalars are included to calculate the full scattering matrix; (ii) We neglect all gauge couplings, and treat Goldstone bosons as physical particles with mass equal to the gauge boson; (iii) the calculation is done in terms of mass eigenstates, i. e. the full VEV-dependence is kept; (iv) the numerical evaluation is done with the Fortran code SPheno  [23, 24] ; (v) large enhancements close to poles are cut in order not to overestimate the limits. This is demonstrated at oneexample in Fig. 1. More details and derivations of our full procedure are given in the accompanying paper  [25].
VI. CONCLUSION We have revised the tree-level perturbative constraints in THDMs by including the contributions from (effective) trilinear couplings, and provide an extension of the package SARAH which makes it possible to include these constraints in phenomenological studies in THDMs and many other BSM models. We found that the obtained limits can be significantly stronger than the ones usually applied in literature which are only correct in the limit of large scattering energies √ s. The importance of the improved constraints has been demonstrated by two chosen examples: (i) it was shown that the values of M 12 are highly constrained in the light Higgs windows; (ii) one finds a stronger upper limit for the CP-even Higgs mass in scenarios with |M 12 | < m A , m H +. On the other side, we have also discussed that the restriction to maximal scattering energies of a few TeV can revive points which violated unitarity only at much higher energies.
ACKNOWLEDGEMENTS We thank  Marco Sekulla  for helpful discussions. FS is supported by  ERC Recognition  Award  ERC-RA-0008  of the  Helmholtz Association. MDG acknowledges support from the  Agence Nationale de Recherche  grant  ANR-15-CE31-0002  "HiggsAutomator", and the  Labex "Institut Lagrange de Paris " ( ANR-11-IDEX-0004-02 ,  ANR-10-LABX-63 ). We would like to thank  Sophie Williamson  and  Manuel Krauss  for helpful discussions and collaboration on related topics.
Data collection Face to face interview (at BMU in the county) was done by trained investigators (trained university students and staff from China CDC) using a structured questionnaire (see Additional file 2: Annex 5). Costs related information was collected from symptom onset up to the day of interview. Direct medical costs included the costs for outpatient registration, hospitalization, investigations and medicines. Direct non-medical costs included transportation, accommodation and food of the patients and family members. Indirect costs were estimated as the total period of absence from work in hours multiplied by the hourly wage of the absent worker. The investigators directly asked the annual income of the patients.
Data management and analysis Data were double entered and validated using EpiData 3. 1 (EpiData Association, Odense, Denmark) during July to December 2017. The analysis was conducted using STATA 12. 1 (copyright 1985-2011, StataCorp LP, Texas USA). We calculated the average monthly direct medical cost, direct non-medical costs and indirect costs during treatment. This average was used to impute the treatment costs of patients within the county for the remainder of treatment (assuming a total of 6 months for new patients and 8 months for previously treated patients). The analysis was done separately for the pre-TB treatment phase, treatment phase and TB care overall (pre-TB treatment and treatment phase combined). Costs were described using the median and inter quartile range (IQR). The total costs (direct medical, direct non-medical and indirect costs combined) were defined as catastrophic if they exceeded 20% of pre-TB annual household income  [4].
Acknowledgments This research was conducted through the  Structured Operational Research and Training Initiative (SORT IT ), a global partnership led by the  Special Program for Research and Training in Tropical Diseases at the World Health Organization (WHO/TDR ). The model is based on a course developed jointly by the  International Union against Tuberculosis and Lung Disease  ( The Union ) and Medécins sans Frontières (MSF/Doctors without Borders). The specific  SORT IT program  which resulted in this publication was jointly developed and implemented by: The  Union South-East Asia Office, New Delhi, India ; the  Center for Operational Research, The Union, Paris, France ;  The Union, Mandalay, Myanmar; The Union, Harare, Zimbabwe ;  MSF Luxembourg Operational Research (LuxOR) ;  MSF Operational Center Brussels (MSF OCB) ;  Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER) ,  Puducherry, India ;  Velammal Medical College Hospital and Research Institute, Madurai, India; National Center for Tuberculosis Control and Prevention, China CDC, Beijing, China ; and  Khesar Gyalpo University Medical of Sciences of Bhutan, Thimphu, Bhutan.
Vcam-1 mRNA was significantly induced by NOD1 activation (1. 2 RU vs 3. 3 RU, p=0. 005, figure  3A ). Induction of Icam-1 and Vcam-1 mRNA expression was synergistic with the NOD1 agonist and TNF/IFN treatments (figure  3B ). These data were confirmed at the protein level in mouse primary isolated hepatocytes which showed that ICAM-1 and VCAM-1 were significantly increased by the NOD1 agonist both under basal and inflammatory conditions (figure  3D ). To confirm the specificity of the NOD1 agonist, hepatocytes were isolated from Nod1 KO mice and exposed to NOD1 agonist treatment under basal and inflammatory conditions. Real-time PCR and Western-blot showed that the NOD1 agonist did not induce ICAM-1 and VCAM-1 in NOD1 KO hepatocytes but responded to TNF/IFN treatment (figure  3C, E ).
The ex-vivo and in vitro experiments demonstrate that hepatocytes are able to express ICAM-1 and VCAM-1 and these last are inducible upon NOD1 agonist treatment. Other adhesion molecules (CD44, Pselectin, PECAM) have been screened on hepatocytes, but with no significant modulation of their expression by NOD1 agonist (data not shown). Although it is central, the PMN/hepatocyte interaction during IR has not been as extensively investigated as the PMN/endothelial interaction. During warm/cold ischemia, endothelial tissue is injured  29  , sinusoidal endothelial cells are detached and sloughed into the sinusoid lumen  30  , allowing PMN direct access to the hepatocyte  31, 32  as confirmed by our analysis by electron microscopy (EM) (supplementary figure  4 ). We then designed a coculture experiment to model the PMN/hepatocyte interface and clarify the hepatocellular role of NOD1 activation in this interaction.
EM analysis of our model confirmed the direct interaction between both cell types leading to hepatocyte death. Quantification of LDH shows that activation of NOD1 in the hepatocyte increases hepatocellular death upon PMN binding. The results of the interaction between Nod1 KO hepatocyte and PMN suggest that blocking hepatocyte NOD1 could prevent PMN-induced hepatocyte death in vitro. In relation to the intracellular pathway, the effect of NOD1 appeared mediated through ERK and p38 phosphorylation in hepatocytes. The regulatory effect of ERK and p38 inhibitors confirms the role of the MAPK pathway in NOD1-mediated ICAM-1 and VCAM-1 expression. These findings support data obtained in other cellular types such as PMN  18, 19. NOD1 is expressed widely in many organs and cell types  33. The clinical potential of NOD1 antagonists could be extended to other organs such as renal IR pathogenesis  34  or myocardium infarct  35.
ACKNOWLEDGEMENTS: Authors would like to thank Nathalie Jouy, Anne Loyens and Meryem Tardivel from the Flow Core Facility -BioImaging Center Lille (F-59000 Lille, France) for the access and excellent technical support. Thanks to Melanie Legrand, Cyril Degraeve, Amélie Mine, Emeline Gorecki, Justine Beauchamp, Mélanie Bollier, Perrine Six and Arnaud Dendooven for technical assistance. FIGURE LEGENDS.
As shown in Fig. 2f , the stability of VP24-K14R was significantly reduced compared with the stability of the VP24-WT protein, suggesting that conjugation of SUMO to lysine residue K14 in VP24 contributes to its stability. The SIM domain in VP24 mediates its noncovalent interaction with SUMO and is essential for the control of IFN activity by the viral protein. Many SUMOylated proteins can interact with SUMO in a noncovalent manner through a SUMO-interacting motif (SIM), which has been reported to consist of a hydrophobic core with the consensus sequence V/I/L-X-V/I/L-V/I/L or V/I/L-V/I/L-X-V/I/L  (17). In silico analysis of EBOV VP24 using the SUMOsp2. 0 program revealed the presence of 5 putative SIM domains in VP24. We then generated single mutants of VP24 in the different putative SIM domains and carried out a glutathione S-transferase (GST) pulldown assay using 35 S-methionine-labeled in vitro-translated VP24 proteins and GST-SUMO1.
ACKNOWLEDGMENTS Funding at the laboratory of C. R. is provided by  Ministry of Science, Innovation and Universities  and  FEDER  ( BFU-2017-88880-P ). C. R. also acknowledges grants  GRC GI-2119  ( Xunta de Galicia ) and  SAF2017-90900-REDT (UBIRed Program ). S. V. is a predoctoral fellow funded by  Xunta de Galicia. M. B. -M. is a postdoctoral fellow funded by  Xunta de Galicia (Consellería de Cultura, Educación e Ordenación Universitaria). A. E. M. is the recipient of a fellowship of the  Spanish FPI program. This work was partially funded by the  German Center for Infection Research  ( DZIF TTU 01. 702_00  to C. M. -F. ). R. B. and J. D. S. acknowledge grants  BFU2017-84653-P  ( MINECO/FEDER, EU ),  SEV-2016-0644  ( Severo Ochoa Excellence Program ),  765445-EU (UbiCODE Program ), and  SAF2017-90900-REDT  ( UBIRed Program ).
The current methods to estimate organ and effective dose from medical imaging examinations This work is licensed under a Creative Commons Attribution 4. 0 License. For more information, see http://creativecommons. org/licenses/by/4. 0/ are based on studies using physical or computational phantoms, and/or models  [11] -  [19]. Computer-based phantoms, with the flexibility to model an unlimited set of anatomies, have the greatest potential to estimate patient-specific organ and effective dose. Recent work in the development of computerized phantoms has focused on the creation of ideal "hybrid" models that seek to combine the realism of a voxelized phantom and the flexibility of a mathematical phantom. In addition, different morphometric categories include reference (limited database of phantoms by age at 50th height/weight percentile), patient-dependent (more extended database of phantoms covering a broad range of body shapes and sizes), patient-sculpted (phantoms altered to match the patient's unique outer body contour), and patient-specific (an exact representation of the patient with respect to both body contour and internal anatomy)  [20].
During 2012, the EANM and SNMMI collaborated to harmonize the guidelines proposed by the two associations  [65] ,  [66]. The publication of new of international guidelines (Pediatric Radiopharmaceutical Administration: Harmonization Guidelines), including twelve radiopharmaceuticals, was the result of this collaboration in 2014. Most of the weight-based administered activities were computed using adult reference activities, excluding gastric emptying and cystography. Special procedure guidelines for diuretic and standard renography in children were also addressed by SNMMI and the EANM  [67] ,  [68]. The differences of the suggested procedures between EANM (version 1. 5. 2008) and the 2010 North American Consensus Guidelines were reported on 2015. Standard models and nominal organ-weighting data were used to estimate critical-organ radiation doses for 5 typical pediatric patients and 12 diagnostic examinations.
In addition, solid-angle coverage in SPECT and PET can also help to detect many more counts at a time, and detector advances in new materials and technologies can also contribute to a reduction of administered dose in pediatrics  [86]. A new dosimetry methodology was proposed recently, within the ERROR project  [87] , for personalizing the assessment of pediatric dosimetry, considering the anatomical differences of pediatric patients. The specific absorbed dose rates metric was introduced and validated both in preclinical and pediatric applications, creating new dosimetry databases  [88] ,  [89].