dataesr/scientific-paragraphs-categorization huggingface dataset:
Data Collection The patients' data were extracted from hospitalization reports at each time point (i. e. , just before transplantation, and at M0, M4, and M12 posttransplantation). Before transplantation, all patients were treated by hemodialysis. We recorded the sociodemographic characteristics, the etiology of CKD, smoking status, alcohol consumption, and comorbidities. Patients were classified as having hypertension if this condition was recorded in their medical records or if they were taking antihypertensive medications. Similarly, diabetes was defined as a report in the medical records or the use of antidiabetic drugs, and dyslipidemia was defined as a report in the medical records or the use of lipidlowering agents. Patients were classified as having cardiovascular disease if they were receiving antiplatelet agents, beta-blockers, and agents acting on the renin-angiotensin system at the same time, or were receiving cardiac therapy drugs (Anatomical Therapeutic and Chemical [ATC] class C01), antithrombotics, or calcium channel blockers.
Methods: An anatomical study was carried out on 12 ankles. Each specimen was dissected according to a protocol to expose the lateral ligaments. A proximal section was made in the superior and inferior bands of the anterior talofibular ligament. A device capable of measuring shifting from one point in relation to another fixed point was used. The fixed point was implanted on the calcaneus and the other part of the sensor on the CFL. Traction of 1-kilogram was applied to the inferior band of the ATFL while the device measured the shifting of the CFL in millimeters. Two measurements were taken on each specimen by two observers. Sample data and distance measurements were recorded and analyzed.
below). Energies in eV. Compound Crystal database BVS he m' E A, exp. E A , calc. Ref D = Sb 3+ SbCl 3 free ion ICSD-8258 3. 11 0 0. 40 1. 112 8. 27 4. 59 a 8. 27 4. 67 15 17 KCl ICSD-187219 1. 02 0. 48 0. 932 4. 57 4. 51 34 NaCl ICSD-181148 0. 98 0. 45 0. 978 4. 63 4. 57 35 Cs 2 NaSbCl 6 (localized) MP-989514 2. 54 1. 08 0. 503 3. 83 + 3. 74 (3. 78) 3. 68 36 Cs 2 NaScCl 6 MP-1111988 2. 82 1. 02 0. 525 3. 90 + 3. 78 (3. 84) 3. 75 37 Cs 2 NaInCl 6 MP-989571 2. 84 1. 04 0. 518 3. 91 + 3. 72 (3. 81) 3. 73 3 3. 93 + 3. 70 (3. 81) 4 0. 522 3. 987 + 3. 70 (3. 78) 5 Cs 2 KInCl 6 Rb 3 InCl 6 (cubic) MP-1112759 MP-1114625 [11] 2. 89 2. 95 1. 05 1. 06 0. 519 0. 521 3. 86 + 3. 66 (3. 76) 3. 84 + 3. 56 (3. 70) a 3. 73 3. 72 5 10 Rb 3 InCl 6 (monoclinic) 3. 15(In1) 1. 18 0. 462 3. 86 + 3. 62 (3. 74) 3.
Background: Hip arthroscopy is a surgical procedure that is becoming more and more prevalent in France. Even though indications are now well-established little is still known about patient outcomes. Therefore, the purpose of our retrospective study was to: (1) describe the circumstances in which hip arthroscopies are being performed; (2) study arthroscopy and arthroplasty reoperation rates; (3) assess the incidence of readmissions for complications. Hypothesis: Hip arthroscopy in France produced similar results to those observed in other countries. Materials and methods: We conducted a cohort study from January 2008 to December 2014 in the French population using the national hospital discharge database called "Programme de médicalisation des systèmes d'information (PMSI). " We included all admissions that had a hip arthroscopy code and analyzed readmissions for conversion to hip arthroplasty, revision hip arthroscopy and complications (without being able to provide detailed descriptions).
The data published on patient outcome after hip arthroscopy are relatively limited and mostly come from the US and the UK  [14, 21, 36, 41, 42]. Since there was no available data in France, apart from series  [45] , we felt it was important to learn more about patient outcomes and decided to conduct a retrospective study using the French national hospital discharge database called "Programme de médicalisation des systèmes d'information (PMSI)" to: • describe the circumstances in which hip arthroscopies are being performed; • study revision and conversion rates; • assess the incidence of readmissions for complications. We hypothesized that hip arthroscopy in France gave comparable results to those found in other countries.
Methods We used existing standardized discharge summaries from all public and private hospital stays in France extracted from the PMSI national database. Diagnoses were coded using ICD-10 and procedures using CCAM. A unique and anonymous patient identifier made it possible to link their different stays, regardless of the institution. In so doing, we were able to recover the ICD-10 and CCAM codes from the first hospitalization of readmitted patients to identify both risk and protective factors. The assessment criteria were the rate of readmissions for hip arthroplasty (conversions), the rate of readmissions for a new arthroscopy (revisions), and the rate of readmissions for complications, and this regardless of the institution. Factors that may influence the procedure outcomes were studied in all patients (Table  2 ).
(2) The use of the database made it impossible to account for laterality. For instance, some patients might have undergone hip arthroscopy on one side and arthroplasty on the other. Consequently, the conversion rate was probably overestimated. However, using regional databases such as the New York  [41] , British  [42]  or Florida/California  [60]  databases, leads to underestimated conversion rates because they do not take into account procedures performed in other regions. (3) This study probably underestimated the total number of hip arthroscopy procedures because exclusions and revisions were not taken into account in the descriptive analysis. (4) Follow-up data for the last patients included were abbreviated because data analysis was stopped on December 31, 2014.
Chant and McMurtry's (1994, 2007)  concepts of the taxonomy of the family Phytoseiidae and the world catalogue database of  Demite et al. (2014 Demite et al. ( , 2021) )  were used for identification and for distribution and information on descriptions and re-descriptions, respectively. The setal nomenclature system adopted was that of  Lindquist and Evans (1965)  and  Lindquist (1994)  as adapted by  Rowell et al. (1978)  and  Chant and Yoshida-Shaul (1992)  for the dorsum and by  Chant and Yoshida-Shaul (1991)  for the venter. Pore (= solenostome) and poroid (= lyrifissure) notations are that of  Athias-Henriot (1975). Macrosetal notation (Sge = genual macroseta; Sti = tibial macroseta; St = tarsal macroseta) are that of  Muma and Denmark (1970). Numbers of teeth on the fixed and movable cheliceral digits do not include the respective apical teeth.
Acknowledgements Acknowledgements are first due to the Department to which the senior author belongs for his research activities that have funded this work for travels and accommodations in Mauritius: UMR CBGP (Internal call for proposals 2018). I would like to warmly thank the  National History Museum (NHM) ,  Department of Life Sciences (Entomology) ,  Cromwell Road , London  SW7 5BD ,  United Kingdom  and especially  Dr Anne Baker  for the loan of the type material of Scapulaseius asiaticus; and the  Naturalis Biodiversity Center , Darwinweg 2, 2333  CR Leiden , The Netherlands, especially  Wendy van Bohemen  for the loan of the type and the additional materials of Scapulaseius reptans. Many thanks to  Mrs Marie Anne Edouard  for hosting me and to his son for helping me with car problems.
The data were normalized with the number of counts at the inflection point of the S-curve. The energy resolution was derived directly from the differentiated threshold scan as the full width at halfmaximum (FWHM) of the corresponding energy peak. The resulting differential curve is fitted with a Gaussian function to the energy peak, as shown in Fig. 7  by the orange curve. The measured energy resolution for the entire detector is about 1. 5 keV. The values obtained are typical for a single-photoncounting detector and comparable with the state-of-the-art detectors  (Ballabriga et al. , 2016). 3. 2. 3. Imaging performance. The imaging performance of the XSPA detector has been assessed by measuring the standard figures of merit: the modulation transfer function (MTF), noise power spectrum (NPS) and detective quantum efficiency (DQE).
Both the XSPA detector and the photodiode were located at the same distance from the beam exit window. The number of photons per pixel was obtained by averaging the total signal with the number of illuminated pixels. The measured count rate of the detector is shown in Fig. 10. Measured data were fitted with a paralyzable detector model  (Knoll, 2000)  function, described as N OUT ¼ N IN expðÀN IN Þ; ð2Þ where N OUT is the measured output count rate, N IN is the input photon rate and is the detector dead-time. The measured dead-time is 112 ns, hence the maximum input photon count rate can be as high as 9 Â 10 6 photons pixel À1 s À1 corresponding to 1. 6 Â 10 9 photons s À1 mm À2. 3. 2. 5. Short gate time performance. To assess the advantages of this detector for time-resolved experiments, that is, experiments that require a short gate time, a series of tests aimed at isolation of the photons from a single-electron bunch were performed.
Furthermore, the fact that QK can be less than, nearly equal to, or larger than 1. 2333 demonstrates that all kurtosis levels are attained. In addition, the expression of the qf is particularly useful for simulations. Indeed, pseudo-random data from the MKw distribution may be easily computer-generated using the inverse transform approach. Since the Lambert function is accessible in computer systems such as Maple, MATLAB and R, this approach is quite feasible. Further details on the above quantile analysis can be found in  [22].
339622642, 0. 003773585, 0. 060377358, 0. 196226415, 0. 358490566. A histogram analysis reveals that the data are decreasing and right skewed, with some data close to 1 that need to be considered. The MKw model can theoretically fit these data due to the shape ability of the corresponding pdf. Recently, these data were taken into account in  [12]  to illustrate the applicability of the UR model. By proceeding in the same way for the maximum flood level data set, we show that the MKw model is more appropriate for these data. First, we determine the MLLEs and the related SEs of the considered models in Table  13. Table  13  shows that α = 11. 6229 and β = 0. 9719 are the MLLEs for the MKw model. By using these estimates, we obtain the estimated pdf and cdf of the MKw model through the substitution method.
Background: Benchmarking international cancer survival differences is necessary to evaluate and improve healthcare systems. Our aim was to assess the potential regional differences in outcomes among patients with metastatic colorectal cancer (mCRC) participating in international randomized clinical trials (RCTs). Design: Countries were grouped into 11 regions according to the World Health Organization and the EUROCARE model. Meta-analyses based on individual patient data were used to synthesize data across studies and regions and to conduct comparisons for outcomes in a two-stage random-effects model after adjusting for age, sex, performance status, and time period. We used mCRC patients enrolled in the first-line RCTs from the ARCAD database, which provided enrolling country information. There were 21,509 patients in 27 RCTs included across the 11 regions.
g. the United Kingdom (UK)] or on socioeconomic factors that significantly influence healthcare systems within a country [e. g. the United States (USA)]. 5 The EUROCARE model exemplifies a system attempting to compare a large number of countries based upon registry data, publishing a fifth edition (EUROCARE-5) in 2014. This comprehensive report examined data from more than 10 million patients from 107 population-based registries from 29 countries grouped into five regions (EUROCARE-5). 6 hile such data identify an overall summary, distilling the components that impact upon survival as an outcome is critically important when revisions to national healthcare systems are being considered. For this to be most effective, we needed to explore the outcomes in cancer subpopulations and treatment modalities that affect survival.
These variables are not usually captured in population-based studies, making it difficult to identify the causal factors responsible for the outcomes observed in those studies. Furthermore, most population-based studies looking at the question of country-based differences in cancer survival have done so prior to the introduction of biological agents in the treatment paradigm of patients with advanced colorectal cancer. ARCAD is a pooled database of individual patient data from recent therapeutic trials in advanced colorectal cancer conducted worldwide. Using this database, we aimed to determine differences, if any, in prognostic outcome among patients with metastatic colorectal cancer (mCRC) diagnosed in different countries, and participating in international clinical trials, in the era of biological therapy.
Hence the patient population is more homogeneous than in population-based studies because of the rigorous inclusion criteria and prescribed therapies associated with randomized trials. Furthermore, most population-based studies looking at the question of country-based differences in cancer survival have done so prior to the introduction of biological agents, where clinical trials are more likely to include biological agents as experimental therapy. There are clear advantages of investigating regional disparity using a clinical trial database. To our knowledge, the ARCAD database is the only large database collecting individual-level patient data from completed studies, and future, large, phase III randomized mCRC trials conducted worldwide can provide meaningful and sufficient data to evaluate this important question.
In addition to rigorous and standardized data collected in clinical trials, another strength of our study was the statistical methods we adopted. Specifically, we used a two-stage meta-analysis based on individual patient data, where outcomes were consistently estimated across all trials at the first stage, and compared using a random-effects model at the second stage to account for trial and treatment heterogeneity. With indiviudal-level patient databases such as ARCAD, we were able to achieve a large sample size comparable with population registries, and superior to literaturedbased meta-analysis due to consistent adjustments of relevant potential confounders across studies. In no small measure, the findings from our study continuously demonstrated the value of international data-sharing consortia to address critical issues that no single trial or group alone can address.
One important reason for presenting data by region in the main manuscript was due to the limited sample size when an individual country was considered. However, we have conducted the same analysis at a country level. In stage 1 of the meta-analysis, model outcomes were estimated from patients available within each country in each treatment arm of a study (not pooling all patients from the same country across trials). This was due to the need to account for heterogeneities due to treatment within each trial. As a result, patient enrollment per country in each arm of a study was too low to have enough number of events to have a robust estimation. It is important to point out that the observed survival deficit in the UK region was driven from the COIN  13, 14  and the FOCUS (1 and 2) studies  15  that enrolled only UK patients.
8. Time vascular imaging first initiated: defined as the time the first CT angiography (CTA) or MR angiography image is acquired. Times of first vascular image acquisition can be automatically retrieved from the time stamp of the image in the DICOM headers. This time point marks the time that information regarding whether the ischemic stroke is attributed to a large or medium-sized vessel occlusion first becomes available. 9. Needle time: defined as time at which the IVT agent is started. Capturing needle time requires manual data entry, but it is routinely captured in most centers. 10. Arterial puncture time: defined as time of arterial puncture in the neuroangiography suite. The time stamp of the first DSA image can be used as a proxy for arterial puncture time if the neurointerventionalist routinely acquires an image immediately post puncture.
The new pump was developed within the XENON collaboration together with groups from the nEXO collaboration  [24]. Its 222 Rn emanation rate was found to be (0. 29 ± 0. 09) mBq (#23 in Table  4 ), an order of magnitude lower than the results obtained for the QDrive pumps. The new pump was successfully installed for the last data taking phase of XENON1T and its impact on the 222 Rn budget is discussed in section 4. 3.
Measurements of subsystems In the following, we briefly describe the XENON1T inner detector systems and report on the 222 Rn emanation results of either individual subsystems or of combined measurements among them. More details on the measurements themselves can be found in  [18, 28]. We only assayed those subsystems that were continuously in contact with xenon during the data acquisition periods and, therefore, contributed to the 222 Rn budget. A schematic view of the subsystems most relevant for 222 Rn emanation is shown in Figure  1. Fig. 2  The different sub-system contributions to the overall 222 Rn emanation rate in XENON1T. The colors correspond to those used in Figure  1. The numbers in the brackets refer to the item numbers. QDrive pump C207 was not measured. Its 222 Rn emanation rate was estimated (see text).
2 t of xenon  [9]. Results from an α-analysis of the XENON1T data were about 30 % higher than the prediction. The discrepancy could be understood by an underestimation of the recirculation pump's 222 Rn emanation rate. With the exact knowledge of the distribution of 222 Rn sources in XENON1T, it became possible to selectively eliminate problematic items. The ultimately measured 222 Rn activity concentration of (4. 5 ± 0. 1) µBq/kg is the lowest ever achieved in a xenon dark matter experiment. Significant improvements are possible in XENONnT and further projects, for instance, by continuous xenon distillation.
Acknowledgements We gratefully acknowledge support from the National Science Foundation, Swiss National Science Foundation, German Ministry for Education and Research, Max Planck Gesellschaft, Deutsche Forschungsgemeinschaft, Netherlands Organisation for Scientific Research (NWO), Weizmann Institute of Science, ISF, Fundacao para a Ciencia e a Tecnologia, Région des Pays de la Loire, Knut and Alice Wallenberg Foundation, Kavli Foundation, JSPS Kakenhi in Japan and Istituto Nazionale di Fisica Nucleare. This project has received funding or support from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreements No. 690575 and No. 674896, respectively. Data processing is performed using infrastructures from the Open Science Grid, the European Grid Initiative and the Dutch national e-infrastructure with the support of SURF Cooperative.
The 5-tier terminology system of the American College of Medical Genetics and Genomics was used for variant classification, including pathogenic, likely pathogenic, variant of unknown significance, likely benign, and benign. Pathogenicity of variants was evaluated using the allele frequency reported in population databases (http://gnomad. broadinstitute. org/), in silico prediction tools, and review of the literature and of variant databases. The study was approved by the institutional clinical research and ethics committee, and all patients gave written informed consent.
Idiopathic VF characteristics Clinical data including demographic characteristics, medical history, and circumstances of the VF event were collected. The circumstances surrounding the VF episode were classified as occurrence during moderate to high physical exertion, low physical exertion (equivalent to usual nonstrenuous daily activities), emotional stress, at rest (no physical exertion), and during sleep. The seasonal distribution of VF episodes was examined using the following month cutoffs: spring (March to May), summer (June to August), fall (September to November), and winter (December to February). Data on additional variables such as fever (oral temperature of 38 C or axillary temperature of 37 C), hypokalemia (serum potassium 3. 5 mmol/L), and alcohol or drug abuse were also collected.
Study limitations Only 23 patients had genetic testing in our study. A more systematic genetic analysis could have yield additional insights into potential sex-based mechanisms influencing Purkinje arrhythmogenicity. Relevant data on the hormonal status at the time of VF events were not available in all patients. Sex hormone assays were also not performed; therefore, their direct association with PurkE characteristics could not be explored. Of the 83 patients, 15 did not undergo electrophysiological mapping and the PurkE origin was determined on the 12-lead ECG. However, RV PurkEs demonstrated a similar morphology between patients with and without an electrophysiology study.
Phase 1 In the weeks that followed, broadcast news solely focused on the seemingly uncontrollable spread of the disease, quickly forgetting what had happened during 1 The reflections presented in this article derive from long-term ethnographic research aimed at understanding how imaginaries, stereotypes, and prejudice lead to exclusionary differential treatment for migrants. The analysis was based on a daily ethnography of institutional narratives, media communication, and how they are perceived by common discourse and circulated through social media. The analysis also included documents and dossiers published in recent months on the specific phenomenon. 2 According to this assumption, the migrant person is said to be a carrier of rare and exotic diseases, especially infectious ones, although the data collected never supported this belief; see Geraci (2006).
Vgs was applied from 0. 5 to 4. 2 V with the V ds ranging from 0. 1 to 0. 9 V with a step of 0. 2 V. The threshold voltage (V th ) was defined as the transverse distance of the rising edge. It was found that V th = 1. 5 V at V ds = 0. 1 V and V th = 1. 82 V at V ds > 0. 1 V. Devices with different channel lengths showed variation of the V th of only ∼0. 3 V, which demonstrated the stable V th of the MoS 2 /HZO FETs. Based on the I ds -Vgs curves, the field effect mobility of the devices could be measured by μ = dI ds dVgs × L WCiV ds , (1) where L and W are the channel length and width, respectively, and Ci is the dielectric capacitance per unit area (Ci = ε 0 εr/d, where εr = 24. 5 and d = 10 nm). 25  The mobility of the FETs could be extracted from the data presented in Fig. 4 (a) and calculated to be 0.
ACKNOWLEDGMENTS We acknowledge funding support from the  Key R & D Program of Shaanxi Province of China  (Grant Nos. 2020GY-271  and  2018ZDXM-GY-150 ), the  Fundamental Research Funds for the Central Universities  (Grant No. xjj2018016 ), the  "111 Project" of China  (Grant No. B14040 ), and the  Natural Sciences and Engineering Research Council of Canada (NSERC, DG  Grant No. 203773 ). Z. G. Y. would like to acknowledge support from the  Natural Sciences and Engineering Research Council of Canada (NSERC, Discovery  Grant No. RGPIN-2017-06915 ).
Finally, using functionally defined ROIs selected from the data collected during the IC task that has been described above (NoGo versus Go trials, see section C. 1. a) and baseline FTND scores as nuisance covariates, Froeliger et al. reported that relapse was associated with a decreased tbFC between the right IFG and the thalamus  [15]. Notably, the tbFC mediated the association between behavioral inbibitory control performances and treatment cessation outcome.