dataesr/scientific-paragraphs-categorization huggingface dataset:
The resulting number between 0 and 1 was then adjusted by 0. 5 so that a value of 0. 5 indicated no preference for either compartment. Data were analysed using general linear mixed models using groups as a random variable and stress status (high or low cortisol values) as a fixed variable. We employed a repeated measures approach with day number as the repeated measure. Data were analysed using R version 3. 3. 2 and the lme4 package. A restricted likelihood ratio test (RLRT) was used to determine whether the random factor group had an effect with the RLRsim package. Preference results were transformed using a logit transformation, and numbers of recordings were log + 1 transformed. Interaction effects between day and stress type were measured for recording models to record differences in activity over time, but not for preference models since preference levels should start and end at similar optimums for both treatments (start with no preference for either compartment and end with similar 'learnt' preference).
We enrolled an age-stratified convenience sample of participants who were willing to provide blood on that day and expressed willingness to return for additional follow-up visits (though only the first visit samples are used here). All participants (and/or their guardians) provided written informed consent to participate in the study including consent to use remaining samples for research on other enteric pathogens like HEV. Data collection. After providing informed consent, trained study staff administered an electronic questionnaire to participants collecting basic demographic data in addition to details on where each person had resided before coming to the camp and when he/she had arrived. After completion of the questionnaire, a trained study nurse or phlebotomist drew 3-5 mL of venous blood into serum-separating vacutainers.
1 were considered indeterminate according to the manufacturer's instructions. Statistical analyses. We estimated the age-adjusted seroprevalence using poststratification weights based on the population age distribution from camp registration data collected the same month as the data collection (International Office of Migration, internal report). Wald-type 95% confidence intervals (CIs) were estimated taking into account this adjustment using the "confint" command in R's survey package. 16, 17 We compared the relative risk of IgG positivity between different groups and estimated CIs as the 2. 5th and 97. 5th quantiles of 1,000 (age-adjusted) bootstrap estimates. 17 o determine whether being in the camp conferred any increased HEV infection risk compared with that in individuals' state of origin, we took two approaches ranging in complexity.
Acknowledgment: We would like to thank the participants of the study and community leaders of the  UN House PoC  for making the study possible. We thank  Samreen Ijaz  for help in interpreting the laboratory data. Authors' addresses:  Andrew S. Azman ,  Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD , and  Médecins Sans Frontières, Geneva, Switzerland , E-mail: azman@jhu. edu. Malika Bouhenia ,  World Health Organization, Geneva, Switzerland , E-mail: malika. bouhenia@epicentre. msf. org. Anita S. Iyer  and  Daniel T. Leung ,  Division of Infectious Diseases, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City ,  UT , E-mails: anita. iyer@hsc. utah. eduand daniel. leung@utah. edu. John Rumunu  and  Richard Lino Laku ,  South Sudan Ministry of Health , Juba, South Sudan, E-mails: jrumunu@yahoo.
Acknowledgements The authors thank all experts who took part in the Delphi consultation:  Lena Blomgren ,  Kornelia Bo¨hler ,  Alberto Caggiati ,  Dumitru Casian ,  Alessandro Frullini ,  Kathleen Gibson ,  Jean-Luc Gillet ,  Manj Gohel ,  Evi Kalodiki ,  Mark Malouf ,  Uldis Maurins ,  Mark Meissner ,  Nick Morrison ,  Alfred Obermayer ,  Alvaro Orrego ,  Pierre Ouvry ,  Eberhard Rabe ,  Lars Rasmussen ,  Stefanie Reich-Schupke ,  Guillermo Rossi ,  Roberto Simkin ,  Ted van den Broek ,  Marc Vuylsteke ,  Steven Zimmet.
Results Statistical analyses were performed using SPSS for Mac OS X v. 19. We excluded timeouts from the analyses because they could not be analysed as either correct or incorrect responses. A binomial test revealed that participants performed significantly better than chance (33. 3%) in all conditions (Utterance-final and Pitch peak: p < 0. 01, one-tailed; Pitch peak + Utterance-final condition: p < 0. 001, one-tailed) except the control condition (p = 0. 344, one-tailed) (figure  2 ). A binary logistic regression model was built within the generalized linear model framework, to compare responses We found that 8-to 9-year-old children can acquire three new word-meaning mappings in approximately 2 min (36 exposure trials) in all conditions except the control condition (co-occurrence alone), which did not provide any perceptual or positional cues for learning.
Data accessibility. Data are available from the Dryad Digital Repository (http://dx. doi. org/10. 5061/dryad. gh31g) [66]. Authors' contributions. P. F. and S. L. developed the concept of the study. All authors participated in the design of the study. P. F. produced the experimental stimuli, collected data and carried out the statistical analyses. S. L. helped in data collection. P. F. drafted the manuscript, and S. L. and W. T. F. provided critical revisions. All authors gave final approval for publication.
Funding. P. F. was supported by the following research grants: European Research Council grants 283435 ABACUS (to Bart de Boer) and 230604 SOMACCA (to W. T. F. ); ANR-16-CONV-0002 (ILCB), ANR-11-LABX-0036 (BLRI) and ANR-11-IDEX-0001-02 (A*MIDEX); a visiting fellowship awarded by the Max Planck Society. S. L. was supported by the University of Vienna. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
Concerning the small number of players participating in this study (n=16), most studies in SSG have used a small number of subjects participating in their research, and some of them have used the same number of our sample size  [1, 32]. Moreover, in our study (SB-SSG vs. SG-SSG) 16 players fulfilled the inclusion criteria for participating in the research. Therefore, the results of this study demonstrate that with changing game rules (SB-SSG and SG-SSG), and altering pitch dimensions at the same time, we can manipulate the SSG intensities in youth soccer players. This study has some limitations. The lack of the use of GPS does not allow us to provide more accurate data on the players' motion. Further studies in SB-SSG and SG-SSG might investigate some comparisons made using GPS.
Study population This was a retrospective, multicenter analysis. Data were provided and approved for this study by the Acute Leukemia Working Party (ALWP) of the EBMT group registry. The latter is a voluntary working group of more than 500 transplant centers that are required to report all consecutive stem cell transplants and follow-ups once a year. Audits are routinely performed to determine the accuracy of the data. The study protocol was approved by the institutional review board at each site and complied with countryspecific regulatory requirements. The study was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines. All patients provided written informed consent authorizing the use of their personal information for research purposes. Using the EBMT registry, we identified adult patients (age >18 years) with AML and the following inclusion criteria: transplanted between 2005 and 2014, and HLA haploidentical donor with bone marrow or granulocyte colony-stimulating factor-mobilized peripheral blood stem cell grafts.
14 Interestingly, graft source may modify the influence of ABO mismatching, as emerging data with cord blood transplants in both the adult and pediatric setting also did not support a prognostic role for ABO status. 13, 24 To substantiate our findings we also conducted a sub-analysis of the impact of ABO status on T-cell-depleted grafts versus T-cell-replete grafts to determine whether there was a possible bias related to T-cell composition of the graft; as shown above, the T-cellrepletion status of the transplanted grafts had no effect on clinical outcome. The limitations of our study include that it is a multicenter, retrospective analysis with the inherent biases involved in analyzing retrospective datasets. In addition, it is conceivable that additional modifying factors which were not analyzed, such as the ABH secretor status,  25  graft mononuclear cell content  26  or the presence of donor-specific anti-HLA antibodies which significantly affect graft failure and rejection,  [27] [28] [29]  mediate the effect of ABO incompatibility on the final clinical outcome of patients undergoing haploidentical HCT.
THE RESPECT SHOE INSOLE TO MONITOR FRAILTY PARAMETERS A. Piau 1 , Y. Charlon 2 , E. Campo 2 , F. Nourhashemi 1 , B. Vellas 1 , 1. Gérontopôle, Toulouse University Hospital, Toulouse, France, 2. CNRS, LAAS, Toulouse, France Frailty detection and evaluation is not routinely done when older adults receive health care or social services. Standardized research measures of frailty are available. However, seamless follow-up of frailty parameters or access to information on adherence to lifestyle recommendations from evaluations may prevent or delay frailty. Our European consortium is evaluating a removable shoe insole to measure dynamic characteristics of gait (speed, distance). The insole transmits wireless data to be available for distance consultations by users (i. e. , patients or physicians).
The study was approved by the ethical committee of the University of Liège and informed consent was obtained from all the participants. Data were analysed with Statistica version 10 (www. statsoft. fr). A normal distribution of quantitative variables was assessed with the Shapiro-Wilk test. For descriptive analyses, we used subject counts, percentages, mean, standard deviation (SD) and range. For the comparison of quantitative variables, we used the Mann-Whitney U test and for qualitative variables, we used the chisquared test. The association between the number of needs rated as 'met' and the number of needs rated as 'unmet'and the quality of life scores were evaluated using Spearman's rank coefficient correlation test (partially fulfilled needs were not included for this analysis). The level of significance for the tests was set at p < 0.
Funding This research was supported by the  French Association of Locked-in Syndrome (ALIS) , the  Belgian National Funds for Scientific Research (FNRS) , the  European Commission  ( European ICT Programme  Projects  FP7-247919 , DECODER), the  Belgian American Education Foundation , the  Wallonie-Bruxelles International , the  Fondazione Europea di Ricerca Biomedica , FEDER structural fund  RADIOMED-930549 ,  Fonds Léon Fredericq , the  James McDonnell Foundation , the  Mind Science Foundation , the  French Speaking Community Concerted Research Action  ( ARC-06/11-340 ),  Human Brain Project  ( EU-H2020-FETFLAGSHIP-HBP-SGA1-GA720270 ),  LUMINOUS  project ( EU-.
Experimental setup and data analysis The data were taken in 2006 using muons from the M2 beam line of the CERN SPS. The beam momentum was 160 GeV/c with a spread of ± 5%. The solid-state 6 LiD target was effectively isoscalar, with a small excess of neutrons over protons of about 0. 2% due to the presence of additional material in the target (H, 3 He and 7 Li). The target was longitudinally polarised but in the present analysis the data are averaged over the target polarisation. The experimental setup used the same two-stage COMPASS spectrometer  [14]  as described in the recent publication on the pion multiplicity measurement  [13]. For pion, kaon and proton separation, the ring imaging Cerenkov counter (RICH) was used. It was filled with C 4 F 10 radiator gas leading to thresholds for pion, kaon and proton detection of about 2.
9 GeV/c, 9 GeV/c and 18 GeV/c respectively. The central region from the RICH is excluded in the analysis in order to avoid particles crossing the beam pipe inside the RICH. The data analysis includes event selection, particle identification and acceptance correction, as well as corrections for QED radiative effects and diffractive vector-meson production. The kaon multiplicities M K (x, y, z) are determined from the kaon yields N K normalised by the number of DIS events, N DIS , and divided by the acceptance correction A: dM K (x, y, z) dz = 1 N DIS (x, y) dN K (x, y, z) dz 1 A(x, y, z). (3) Here, y is used as a third variable instead of Q 2 because of the strong correlation between x and Q 2 in the COMPASS fixed-target kinematics.
Summary and conclusions Precise results for charged-kaon multiplicities are obtained from kaon SIDIS measurements using a muon beam scattering off an isoscalar target. The data are given in a three-dimensional x, y, and z representation and cover a wide kinematic range : 1 (GeV/c) 2 < Q 2 < 60 (GeV/c) 2 , 10 -3 < x < 0. 7, 0. 1 < y < 0. 7, and 0. 20 < z < 0. 85 with W > 5 GeV/c 2. They constitute an important input for future world-data analyses in order to constrain strange quark PDFs and FFs. The sum of K + and K -multiplicities integrated over z shows a flat distribution in x, with values significantly higher than those measured by HERMES at lower energy. By covering lower x values, the multiplicity sum data will significantly improve the constraint on the product of the strange quark PDF and FF, SD K str.
l Supported by the  DFG Research Training Group Programme 1102 "Physics at Hadron Accelerators " m Supported by the  German Bundesministerium für Bildung und Forschung  n Supported by  EU   FP7  ( HadronPhysics3 , Grant Agreement number  283286 ) o Supported by  Czech Republic MEYS  Grant  LG13031  p Supported by  SAIL (CSR), Govt. of India q Supported by  CERN-RFBR  Grant  12-02-91500  r Supported by the  Portuguese FCT -Fundação para a Ciência e Tecnologia, COMPETE  and QREN, Grants  CERN/FP 109323/2009 ,  116376/2010 ,  123600/2011  and  CERN/FIS-NUC/0017/2015  s Supported by the  MEXT  and the  JSPS  under the Grants No. 18002006 , No. 20540299  and No. 18540281 ;  Daiko Foundation  and Yamada Foundation t Supported by the  Israel Academy of Sciences  and Humanities u Supported by the  Polish NCN  Grant  2015/18/M/ST2/00550.
Data Collection Activities Data used for the evaluation included (1) a historical analysis, over a 10-year period, of all documentation related to the project (eg, newsletters, minutes of meetings, activity tracking and monitoring documents, protocols and guidelines, periodic presentations, use evaluation reports, articles, and documents from government and funding agencies), the goal of which was to reconstruct the sequence of key events and situate them in their context, while highlighting the critical decisions and the reasons they were made, as well as the role of the different actors in the evolution of the project; (2) participant observation of meetings of the governance committee in charge of the project; and (3) interviews, meetings, discussions, and exchanges (formal and informal) with project stakeholders, including policy-makers, managers, clinical, technological, and administrative project officials, pathologists, surgeons, and technologists.
The people interviewed were identified primarily by the project team as well as by way of project documents and reports. Internet searches were also conducted to identify other key people in participating organizations. Participant selection was guided by the need to gather a diversity of perspectives from the different stakeholders involved in the project. Interviews were recorded and transcribed verbatim. Subsequently, verbatim, documents and observation notes were subjected to a qualitative thematic content analysis,  31  using a deductive-inductive approach based on the framework and new themes emerging from the data, with the help of NVivo-10 software. 32 Analyses were carried out by HA and HP; a third person was able to intervene when there was a difference in perspective in the case of divergence (JPF).
The survey crew consisted of two trained observers searching with the naked eye and a navigator collecting data on a laptop computer equipped with "VOR" software developed for the aerial part of the SCANS-II survey  (Hammond et al. , 2013). The aircraft's position was recorded every 2 s using an on-board GPS device. Beaufort Sea state, glare severity, turbidity, cloud cover, and subjective sighting conditions (an overall subjective assessment of the detection conditions: good, moderate, or poor as for small Delphinids) were recorded at the beginning of each transect and whenever any of these parameters changed. A fourth, off duty crew member was also present to enable the rotation of crew members every hour to limit any loss of vigilance due to observer fatigue. Perpendicular distances obtained from clinometers were collected by observers for marine mammals, sea turtles, and elasmobranchs.
For seabird data collected in strip transect mode, all encounters located within 200 m of the aircraft's track line (marked on the landing gear) were assumed to be detected. Species identification was made to the lowest taxonomic level whenever possible, but groupings were inevitable for several taxa that could not be told apart from the air. For marine mammals nine groups were considered: small Delphininae, large Delphininae, small Globicephalinae, Risso's dolphin, large Globicephalinae, beaked whale, sperm whale, Kogia spp. , and dugongs (cf. Supplementary Table  2  for the list of species). For seabirds: seven groups comprised brown terns, gray terns, noddies, petrels and shearwaters, tropicbirds, boobies, frigatebirds (cf. Supplementary Table  3  for the list of species). Finally a "hardshelled group, " mainly green turtles in the area  (Bourjea, 2015)  and leatherback turtles, were considered in addition to manta rays, unidentified rays, whale sharks, hammerhead sharks, and unidentified sharks (cf.
Data Analysis Individuals encountered were mapped across the six survey blocks for the main taxa over a grid of 60 × 60 km to optimize homogenous effort among cells, in order to visualize their distribution as determined by the aerial survey in the region. From the detection data on each species in each cell, cumulative taxonomic richness was modeled with occupancy models  (MacKenzie et al. , 2002)  over the entire region using averages of depth, slope, and distance to 200 m isobaths within each cell. Occupancy modeling was undertaken in order to better describe any hotspots for megafauna diversity in the area. For density estimation, 83,726 km of line transect effort were retained for analysis. This effort was mainly conducted in slope (36%) and oceanic strata (52%) and under good sea state (95% of the effort in Beaufort conditions ≤3, 74% with Beaufort conditions of 0-2) thereby limiting variation in perception bias.
The strip transect methodology for seabirds implied perfect detection within 2 × 200 m bands (i. e. , one on either side of the aircraft). For other taxa, sightings with larger perpendicular distances were truncated (≈5% of sightings) and were excluded  (Buckland et al. , 2001). Detection curves and effective strip halfwidths (esw) were estimated for eight marine mammal taxa, five elasmobranch taxa, the hard-shelled group, and leatherback sea turtles using Distance sampling software  (Thomas et al. , 2010). When the effect of meteorological conditions (sea state, glare severity, or subjective sighting condition) or group size were statically significant (at 5% level), Multiple Covariate Distance Sampling was used  (Marques and Buckland, 2004). The best models were selected using the Akaike Information Criterion (AIC).
, 2014) , or coastal Delphininae. It is currently unclear whether these biases would on average be negative or positive. For seabird data collected via strip transect methods, in the absence of an available and accepted methodology we did not attempt any correction and therefore our results should be considered as conservative estimates. Nonetheless, orders of magnitude of seabird densities across the three survey blocks of the Mozambique Channel (NMC, CMC, and SMC, 2. 9 individual km -2 ) were similar to previous summer ship-survey estimates in the same area  (Jaquemet et al. , 2014).
Conservation and Management Implications The pelagic megafauna dealt with in this work included a variety of charismatic species that share a number of important conservation issues. Among the species encountered 13 are listed as critically endangered, endangered, vulnerable, or nearly threatened on the IUCN Red List, and nine are listed as data deficient (Supplementary Tables  2 3 4 ). Among marine mammals the populations of three species (Indo-Pacific bottlenose dolphin, Indo-Pacific humpback dolphin, and dugong) are either decreasing or fragmented in the SW Indian Ocean. And several species of seabirds are mostly restricted to the region, in particular two endemic petrels of La Réunion Island: the Barau's petrel (Pterodroma baraui) and the Mascarene petrels (Pseudobulweria aterrima). Various anthropogenic threats have been identified for marine megafauna in in the SW Indian Ocean, such as incidental or direct catches in fisheries for marine mammals, elasmobranchs, or sea turtles  (Kiszka et al.
Statistical analysis Prior to analysis, oocyst counts were converted into natural logarithms (log [OPG þ1]). Data were analysed using multifactor analysis of variance (factorial ANOVA with interaction), Statistica programme (data analysis software system), version 6  (StatSoftInc. , 2003). The analysis was conducted according to the mathematical model: (G Ã T)interaction of experimental group and birth type (S Ã T)interaction of gender and birth type eijkrandom error Tukey's test (for different numbers) at p. 05 and p. 01 was used to determine significance of differences among group means. Yijk ¼ l þ Gi þ Sj þ Tk þ (G Ã S)ij þ (G Ã T)ik þ (S Ã T)jk þ eijk Y ijk -level of The chi-square test was used to determine the significance of differences in prevalence. The data were analysed using the programme 'R', module 'epir'  (Stevenson & Heuer 2012).
Analysis of GHS and physical functioning at disease progression showed a decline in HRQoL in both treatment arms, with a mean change from baseline of À9. 4 and À10. 8 points, respectively. Conclusion: There was evidence of benefit associated with etirinotecan pegol compared with current standard of care agents in multiple HRQoL measurements, including global health status and physical functioning, despite worse gastrointestinal symptoms (e. g. diarrhoea). Patients in both arms had a decline in HRQoL at disease progression. Study number: NCT01492101.
Dose delays, reductions and discontinuations were defined for etirinotecan pegol but made according to the prescribing information or local practice guidelines pertaining to TPC. The trial was conducted under the principles of the International Conference on Harmonisation Good Clinical Practice standards and in accordance with the Declaration of Helsinki, U. S. Food and Drug Administration regulations and all other applicable regulations. All patients provided written informed consent prior to any study-related procedures. Approval was obtained from the relevant institutional review board (IRB) or independent ethics committee (IEC) at each site. The study is registered on ClinicalTrials. gov (NCT01492101).
Acknowledgements We thank the patients, their caregivers and families and the investigators who participated in this study. We thank the independent Data Monitoring Committee ( Drs Kathy Miller ,  Banu Arun  and  James Boyett ) for their study oversight. We also thank  Phillips Gilmore Oncology Communications  for providing medical writing support, funded by  Nektar Therapeutics. This research was supported by  NIHR Leeds Clinical Research Facility.