dataesr/scientific-paragraphs-categorization huggingface dataset:
Study More recently, another second-generation EGFR TKI, dacomitinib, has been assessed in the first-line setting versus gefitinib in the Phase III ARCHER 1050 trial  [34]. This study enrolled patients with EGFR mutation-positive (Del19 or L858R) NSCLC, but excluded patients with brain metastases. Dacomitinib significantly prolonged PFS compared with gefitinib (14. 7 vs 9. 2 months; HR: 0. 59; p < 0. 0001; Table  1 ). While the proportion of patients who achieved an objective response was similar between the two groups (75% in the dacomitinib group and 70% in the gefitinib group), duration of response was longer with dacomitinib than gefitinib (HR: 0. 55; p < 0. 0001). OS data were not mature at the time of data cutoff. Although cross trial comparisons of LUX-Lung 7 and ARCHER 1050 should be cautioned, especially given differences among patient populations, the cumulative evidence suggests that second-generation EGFR TKIs may be more effective than first-generation EGFR TKIs.
Osimertinib was subsequently assessed in the randomized Phase III AURA3 trial in patients with T790M-positive advanced NSCLC who had disease progression after first-line EGFR TKI therapy. Patients were randomized to osimertinib or platinum-based therapy plus pemetrexed. Osimertinib significantly prolonged investigator-assessed PFS versus chemotherapy (10. 1 vs 4. 4 months; HR: 0. 30; 95% CI: Reprinted with permission C (2016) American Society of Clinical Oncology. All rights reserved [40]. 0. 23-0. 41; p < 0. 001) and was associated with a significantly higher response rate (71 vs 31%; odds ratio [OR]: 5. 39; 95% CI: 3. 47-8. 48; p < 0. 001). OS data have not been reported  [9]. With the emergence of third-generation EGFR TKIs, this is the first time a biopsy at progression has been needed to guide subsequent therapy.
Preclinical studies have also identified potential resistance mechanisms. For example, cells that are resistant to osimertinib appear to have enhanced levels of phosphorylated MEK and may be particularly sensitive to combined EGFR and MEK inhibition  [57, 58]. The identification of heterogeneous resistance mechanisms to osimertinib has prompted the initiation of several early-phase clinical trials  [59]. The ongoing Phase IB TATTON trial (NCT02143466) is assessing the combination of osimertinib with the MEK1/2 inhibitor, selumetinib, the immune checkpoint inhibitor, durvalumab, or the MET inhibitor, savolitinib, in patients with EGFR mutation-positive NSCLC who have progressed on an EGFR TKI. Other Phase I studies are assessing the combination of osimertinib with the VEGFR2 antibody, ramucirumab, or the EGFR antibody, necitumumab, in patients with T790M-positive NSCLC (NCT02789345) and the combination of osimertinib with navitoclax, a BCL-2 family inhibitor (NCT02520778).
Nevertheless, given the predominance of T790M-driven resistance (50-70%  [6, 7]   of patients) and high uptake of postprogression therapy, around 50% of patients could ultimately receive sequential EGFR TKIs. Ultimately, prospective clinical trials assessing sequential treatment with first-or second-generation TKIs followed by osimertinib versus osimertinib followed by appropriate second-line treatment are required. The European Organisation for Research and Treatment of Cancer APPLE study is currently ongoing with this aim (NCT02856893), integrating the use of cell-free DNA analyses.
Acknowledgements This work was supported by a grant from  JSPS KAKENHI  Grant Number  JP15K21764  (to FT) and  City of Hope Women's Cancer  Award  P30-CA33572  (to CAG). Support by  ANR  nanoptPDT (to JOD) is gratefully acknowledged. We would like to thank  Dr. Yoshihito Uto  ( Tokushima University ) for introducing us to the chicken egg tumor model. We would also like to thank  Dr. Sharon Wilczynski, MD, PhD  and the  Pathology Core at City of Hope  for their expertise opinion in verifying the high correlation of our tumor patient samples with tumors produced in the CAM model. Binh Vu  was a visiting graduate researcher from  Vietnam National University Ho Chi Minh  city and was supported by the  Center for Global Mentoring (CGM) program.
Data In this data article, we are sharing the eco-physiological responses of 24 genotypes of sunflower grown in two environmental conditions in the outdoor Heliaphen platform. These datasets are part of a larger project that integrate other omics data at different biological levels and be associate to diverse articles. The data associated with this article can be found at: https://doi. org/10. 25794/phenotype/ er6lPW7V and the summary of the eco-physiological traits are detailed Table  1.
Data curation and organization The aberrant values deleted of the trait measurements were determined as plus or minus three times the standard deviation. They were removed from the dataset. The data is available as a series of csv, xls and pdf files with the SUNRISE_13HP02_ prefix. Commaseparated values files are automatically generated by the information system "SUNRISE Phenotype Archive" from xls (tab-delimited files) and are equivalent. Four files include physiological data: -…Physio_Correspondance. csv with start and end of treatments and leaf ranks of sampled leaves -…Physio_classe_with_threshold. csv with all physiological data at the plant and leaf levels at the start and/or end of the treatment as detailed in Table 1 -…LIPM_daily_plant. csv with all temporal data measured during the experiment at the plant level -…LIPM_leaves_daily.
Acknowledgments The authors are grateful to  Sébastien Carrère  and  Ludovic Legrand  for the Archive management. These data were produced with the funding of the  French National Research Agency  ( ANR SUNRISE ANR-11-BTBR-0005 ). Florie Gosseau's Ph. D. fellowship was funded by  MAS Seeds ,  Caussade Semences  and  ANRT. This work was part of the  "Laboratoire d'Excellence (LABEX) "  TULIP  ( ANR-10-LABX-41 ).
EthICs And dIssEMInAtIon This trial is registered at ClinicalTrials. gov (NCT02454777). All study participants are consented to participate in the study prior to data collection without any element of force, fraud and duress. Sufficient knowledge and comprehension of research procedures including purpose, methods and means by which it is to be conducted are provided. Any potential risk, benefits, discomfort and hazards are reasonably explained by the PI. Participants are not excluded from the study based on race, religion or socioeconomic status.
S129 CRYOTHERAPY TEMPERATURE EFFECTS ON FUNCTIONAL AND ONCOLOGICAL OUTCOMES IN PROSTATE CANCER Glenn T. Werneburg 1,* , Amanda L. Le Sueur 2 , Jose M. Salcedo 2 , Roy T. Gildersleeve 2 , Jeffrey T. Schiff 2 , Anthony T. Corcoran 1,2 , Aaron E. Katz 1,2. 1 School of Medicine, Stony Brook University, Stony Brook, NY, USA; 2 Department of Urology, NYU Winthrop Hospital, Mineola, NY, USA Cryotherapy, using a target temperature of -40 C, is an effective definitive treatment for organ-confined prostate cancer. We sought to determine whether a moderate minimum tumor temperature (below -40 C but above -76 C) is associated with improved quality of life, and/or an increased risk of disease recurrence relative to a very cold temperature (below -76 C). An IRB-approved database was reviewed for patients who underwent primary cryotherapy for organ-confined prostate cancer from 2004 to 2017.
8 mm nozzle diameter, 27 mm spraying distance and 120 s freezing for the experimental study. The multi-block non-orthogonal grid is used for the mathematical model and enthalpy equation is solved with finite volume approach. The variation of temperature and ice front in the nodular gel phantom are evaluated experimentally for both the nodular configurations and corroborated with the numerical study. The lethal temperature (-50 C), measured with the thermocouple is obtained up to 4. 5 mm and 4 mm depth in the first and second configuration of nodular gel respectively. The final ice front measured using Image J software in the axial and radial direction for the first configuration is 9. 1 mm and 10. 1 mm respectively while for second configuration it is 9. 7 mm and 10. 4 mm respectively. The ablation volume characterised by -50 C and -25 C is quantified numerically for the application of a malignant and benign tumour respectively.
INTRODUCTION People with an upper arm amputation represent a significant part of the major upper-limb amputees in western countries (for instance 33% in France  André and Paysant, 2006 and 45%  in the United Kingdom National Amputee Statistical  Database, 2009). These patients, most of them young active people, are usually fitted with a functional prosthesis (financed by the Social Security) composed of several active joints (hand, wrist and sometimes elbow), allowing them to regain a certain autonomy. While there have been improvements of prosthetic solutions over the last years, the situation remains particularly complex for the common case of transhumeral (i. e. , above elbow) amputees. The control is difficult to learn, remains non-intuitive, and thus cognitively demanding. Moreover, these prostheses lack functionality and so do not provide the expected assistance in Activities of Daily Life (ADLs)  (Biddiss and Chau, 2007).
A dedicated C++ program was developed (running at a frequency of 100 Hz on the Jessie OS © from Debian Linux © ) to receive movement instructions (received from a wifi socket connection), to control the active joints accordingly (with respect to a set of predefined parameters like joint velocities), to monitor the kinematic activity and to store recorded data in files. To monitor the kinematic activity of the upper-limb prosthetic, a motion capture dataglove (VMG 30 from Virtual Realities LLC © relying on piezoelectric technology) was placed over the prosthetic hand. Thanks to a dedicated calibration phase (performed once for each patient), the prosthetic fingers activity were recorded at 25 Hz. This glove was also fitted with two Inertial Measurement Units (IMU, 9 degrees-of-freedom) allowing us to track both the elbow flexion and wrist rotation kinematics at a similar frequency.
, 2000). Additional features of sEMG signal characterizing its frequency and complexity aspects are needed for optimal classification. We used the BCI2000 software suite to develop a global control architecture on a desktop computer running Windows 7 (Intel Core i5-4690K (3. 5 GHz) with 16 Go DDR3). BCI2000 is a general-purpose software suite designed for brain-computer interface (BCI) and was used here to run in parallel three principal modules: one acquisition driver to acquire the sEMG data (at a 1 kHz frequency), one Matlab classification algorithm script (executed every 128 ms), and one graphical user interface (C++ with Qt) which was also broadcasting in real time the classification output to the network, in order to transmit the kinematic instructions to the prosthesis. A generic Linear Discriminant Analysis (LDA) classifier  (Englehart et al.
Preliminary assessment of the classification and PLM-based prosthesis control After a rapid data treatment, the training phase of the classifier was followed by a preliminary assessment of the classifier performance. During this phase, while the online classification algorithm was running, the participant was asked to induce given movements of the prosthesis through the phantom limb mobilization. The participant performed a randomized set of PLM (12 repetitions of the 8 selected gestures) during which the movements of the prosthesis reflected the PLM that were detected by the classifier. Once the movement instruction provided by the experimenter, the participant had 5 s to perform the task. Within this time period, a failed trial could be followed by a second one. Once a trial was considered as successful, or when it lasted more than 5 s, the experimenter asked the participant to relax before giving the next PLM to perform.
Metrics The online performance during the preliminary assessment of the classification and PLM-based control was analyzed using a Matlab © script to automatically determine within the 5 s interval allocated to each task (i. e. , performing one specific gesture with the prosthesis), the exact starting time of the participant action (when the classifier detected a change from the inactivity with a confidence over 95%) and its end (last time instant of the classifier output detection of an activity until the end of the 5 s time period). The confusion percentages were then calculated over these previously selected times of action, based on the ratio between the time of action and the time during which the correct movement was performed. For the grasping tasks, the prosthetic arm joints were extracted from the worn motion capture glove: the embedded wrist IMU was used to compute both elbow flexion and wrist pronosupination angles.
FUNDING The study was financially supported by the  ANR  (project  PhantoMovCOntrol   ANR-15-CE19-0008-02 ) and the  Labex SMART  ( ANR-11-LABX-65 ) supported by  French  state funds managed by the  ANR  within the  Investissements d'Avenir programme  under reference  ANR-11-IDEX-0004-02.
Given that Parkin patients are very infrequent and sometimes live at long distances, it was not possible to constitute a second group of these patients to test the OFF -ON transition. Amongst the 17 control subjects, 10 were tested twice as iPD patients, and 7 were tested only once. For all subjects, the two visits were separated by 7 to maximum 10 days and lasted approximately 1 hour each in all subjects. Ethical approval and informed consent. Experiments were approved by the local ethics committee (CPP Ile de France Paris VI, n° 212-A01056-37). Methods were carried out in accordance with relevant guidelines and regulations. Written informed consent was obtained from all participants. The study referred to as 'PEDUPARK' has been registered with clinicaltrials. gov (NCT02126475). All participants were informed about the purpose of the study and procedures before they gave their informed consent.
Statistical analyses. The significance threshold α for all analysis was 0. 01. All analyses were realized using analysis of variance (ANOVA) unless specified otherwise. Analyses were performed using SPSS 23 (SPSS Inc. , Chicago, IL). Mixed-design ANOVA's and multiple regression analysis were used. In all analyses, subject identity was used as a random factor to take into account the influence of uncontrolled variability observed between subjects. Results will be presented as mean ± standard error of the mean unless specified.
This could not be done for Parkin patients. Indeed, there is not enough Parkin patients in France to constitute two groups. Moreover, given that age is a major factor of general decline that could occur rapidly, we collected additional data on 7 male healthy subjects in order to create cohorts of equal sizes that have less than a year of age difference between controls and iPD patients (controls: 57. 9+/-2. 0 years, n = 15; iPD patients: 57. 5+/-1. 9 years, n = 15; ~3000 saccades in each group). These additional control subjects were tested only once (visit 1 only). We found no significant difference in age between groups (F[1] = 0. 022; P = 0. 883). Here also, the average slopes of the FP n-1 /saccade latency relationship were significantly different from zero in controls (t[14] = 4. 825; P < 0.
Acknowledgements 566 PAS was funded by an Australian Postgraduate Award and an ANU Vice-Chancellor's Scholarship. 567 Analytical costs and JPs visit to ANU were funded by Australian Research Council Discovery Grant 568 DP130101355 to H. St. C. O'Neill and J. Prytulak. Many thanks to Jeremy Wykes, Dave Clark and 569 Dean Scott for discussions regarding the piston cylinder experiments, Graham Mortimer for 570 facilitating the set-up of V isotopes at the RSES clean lab, and Les Kinsley for assistance and 571 feedback on running V isotopes on the Neptune Plus. We greatly appreciate two thoughtful and 572 comprehensive reviews by Alan Woodland and Dante Canil that helped improve many aspects of this 573 study, and acknowledge perceptive comments from Adrian Fiege on an earlier version of this work.
0452 resulting from the cleavage of the second O-C between the aglycone and the other glucose [M-2Glc + Na] •+. In order to find the structurally related compounds, the cluster was further studied by annotating the edges with m/z differences corresponding to known (bio)chemical modifications implemented in the MetaNetter 2 package  [10]. Out of the 307 nodes of the network, 1 node directly connected to harounoside  (2) , with a m/z difference of -15. 995 attracting our attention. According to the biotransformation list available in the MetaNetter package, this difference corresponded to a dehydroxylation. Considering the structure of 2, dehydroxylation could occur at several positions of each of the two sugars; in order to know on which side of the compound 2 the dehydroxylation site was located, the fragmentation of both glucose moieties was studied using quantum mechanics (QM).
After selection of the parent ion at m/z 561. 16, the intensity of the ion at m/z 399. 11 was recorded using an increasing value of collision energy (). After the complete extinction of the parent ion (Figure  3A ), the daughter ion at m/z 399. 11 was then fragmented into one major ion at m/z 185. 04 using the same approach (Figure  3B ). As shown in Figure  3 , the O-C1 bond linking the aglycone to the glucose moiety was weaker than the O-C1 bond, as it required a lower collision energy value for a 50% dissociation (ca. 15 and 17 for O-C1 and O-C1 , respectively). The experimental data confirmed the QM predicted values, and the same ERMS approach was used for compound 1. As observed in Figure  3D, E , an increase in the collision energy value was required in order to produce the ion at m/z 185.
LC-MS Data Acquisition and Processing An XEVO-G2 XS QTOF (Waters) equipped with an electrospray ionization (ESI) source was used for the qualitative analysis of the extract. A first screening analysis was performed using the MS E technology (Waters) on a mass range from 50 to 1500 Da. The optimal ionization-source working parameters were as follows: capillary voltage of 3. 0 kV; sampling cone of 40 V; extraction cone of 6. 0 V; source temperature of 150 • C; desolvation temperature of 600 • C; cone gas flow of 50 L/h; desolvation gas flow of 1000 L/h. MS/MS data were obtained using a DDA with the same ionization parameters as above using three different collision energies: 10, 20, and 40 V.
Energy-Resolved Mass Spectrometry The LTQ-Orbitrap XL mass spectrometer (Thermo Scientific (Bremen), Bremen, Germany) was used for the ERMS study. The analysis was performed in positive-ion mode with a mass range of m/z 100-1100. The optimized ESI parameters were set as follows: capillary temperature of 250 • C; sheath gas (nitrogen) flow of 30 arb. ; auxiliary gas (nitrogen) flow of 10 arb. ; source voltage of 4. 25 kV; capillary voltage of 25 V; tube lens voltage of 110 V. The resolution of the Orbitrap mass analyzer was set at 30,000. The isolation width was 2 amu, and the normalized collision energy (CE) was set from 10 to 20. Collision-induced dissociation (CID) was conducted in LTQ with an activation q value of 0. 25 and activation time of 30 ms. All instruments were controlled by the Xcalibur data system, and the data acquisition was carried out by analyst software Xcalibur (version 2.
Computational Details All QM calculations were carried out using Gaussian 16  [22]. The energy scan of the C-O bonds was performed using the Hartree-Fock method at the STO-3G level and a 0. 1 Å bond-length step. The GMMX package was used for the conformational analysis (force field: MMFF94). The TD DFT calculations were performed using the B3LYP method at the 6-31G(d) level for 20 excited states. SpecDis 1. 71 software was used to plot the ECD spectrum  [23].
Acknowledgments: SOLEIL support is acknowledged under Proposal No. 20170521. We also thank the technical staff of SOLEIL for smooth and efficient running of the facility. The authors are grateful to  Pascale Leproux  and  Karim Hammad  for MS and NMR spectra recording. The  Région Île de France  is also acknowledged for its support through the funding of the  DIM Analytics  Project  PRIMEVEGE  ( ANA2014-ML-001 ).
DNA samples were hybridized on HumanCore-24-V1 SNP arrays according to the manufacturer's instructions by Integragen. Analysis was performed with GenomeStudio software. Chromosome abnormalities were determined by visual inspection of logR ratios and B-allele frequencies (BAF) values and comparing parental cells and iPS-derived samples. LogR ratio, the ratio between observed and expected probe intensity, is informative regarding copy number variation (i. e. deletions/duplications) and BAF is informative regarding heterozygosity. We used the SNP data to compute CNV. In particular, this type of chips allows to detect loss of heterozigocy (LOH), an important concern for hiPSC, which is not possible with classical CGH arrays.
Acknowledgements We thank  TN Guyen  and  J. De Vos  ( ANR grant   14-CE16-0026-01 ) for their support in this project. The iPSC core facility is supported by  Région Pays de la Loire. NG is supported by  ANR  grant  14-CE16-0026-01. KST is supported by the national project  CHOPIN (CHolesterol Personalized INnovation ) provided by the  National Research Agency  ( ANR-16-RHUS-0007 ) and coordinated by the  CHU de Nantes. We thank the  CytoCell cytometry core facility  for their help. We thank  G. Jayakumaran  ( Memorial Sloan Kettering Cancer Center, New York city, USA ) for critical review of the manuscript. We thank  C. Martinat  ( UMR 861 , Evry, France) and  P. Naveilhan  ( UMR 1235, Nantes, France ) for their help for the neuronal differentiation.
This small distance and gap in the both rings produce high capacitive values that decreases the value of the resonance frequency which is given by Equation (1). 1 2 f LC   (1) The effective medium theory is very useful to extract the material parameters from the normal scattering parameter data when analytical techniques are not easy to apply. The metamaterial characteristics of the chosen SRR unit cell are verified using Nicolson-Ross-Weir (NRW) approach. The NRW approach based on two composite terms V 1 and V 2 represent respectively the addition and subtraction of S-parameters given by Equation (  2 ) and (  3 ).
The contribution of breakfast to diet quality (DQ) can inform future dietary guidelines. This study examined breakfast nutrition in relation to overall DQ, using dietary data from the first reported day of the National Health and Examination Survey (NHANES) 2011-2014 (n = 14,488). Relative DQ was assessed using the Nutrient Rich Foods Index (NRF9. 3) and the USDA Healthy Eating Index 2015 (HEI 2015). The sample was stratified by NRF9. 3 tertiles and by age and socioeconomic groups. Four out of 5 NHANES participants had breakfast on the day of the interview. Breakfast provided 19-22% of dietary energy depending on age. Breakfast intakes of complex carbohydrates and total sugars were proportionately higher and intakes of protein and fats were lower relative to breakfast energy intakes. Breakfast provided more that 20% of daily intakes of B vitamins, vitamins A and D, folate, calcium, iron, potassium and magnesium.
Study Population & Dietary Data Analyses were based on the first day of dietary intakes in the 2011-2012 and 2013-2014 cycles of the nationally representative National Health and Nutrition Examination Survey (NHANES)  [22, 23]. Data were available for 14,488 children, adolescents and adults aged ≥ 6 y. The sample included 2511 children (ages 6-12 y); 1546 adolescents (ages 13-17 y); 6594 adults (ages 18-54 y) and 3837 older adults (ages ≥ 55 y). The first 24-h recall in the NHANES was completed in-person at the Mobile Examination Center with a trained interviewer. The 24-h recall queries all foods/beverages consumed by participants from midnight-to-midnight on the previous day  [22, 23]. Dietary supplements were excluded. Breakfast was defined as the self-reported "breakfast/desayuno" and brunch.