dataesr/scientific-paragraphs-categorization huggingface dataset:
Institutional Review Board Statement: The study was conducted according to the guidelines of the Declaration of Helsinki and was performed according to the Institutional Review Board guidelines concerning the use of biological specimens for scientific purposes in compliance with Italian law (art. 13 D. Lgs 196/2003). Approval from an ethics committee for virus detection and data publication were not required since data and samples from outpatients with ILI were collected and analyzed anonymously within the National Influenza Surveillance Program. Informed Consent Statement: Informed consent for virus detection and data publication was not required since data and samples from outpatients with ILI were collected and analyzed anonymously within the National Influenza Surveillance Program.
The deep learning process is the most complex and refined form of machine learning and artificial intelligence and it is based on a neural network  [16]. It includes a training set early by bio engineering, and the DM assessment is based on it. Applying deep learning process in dentistry has taken a long time from dedicated AI engineering to optimize and collect sufficient data (millions of dental images) to feed the machines in early stages, label the images one by one, and eventually build the neural networks that make the machine semi "intelligent". Labeling included images about various clinical situations, concerning: debonding of braces, tubes, bands, or buttons, damage to hooks or temporary anchorage device ligatures, archwire disengagement, occlusal interferences with an archwire or a bracket, oral hygiene, soft tissues inflammation, gingival recessions, tooth damage, signs of aphthous stomatitis, dental eruption, appliance cleaning, black triangles, fixed and removable retainers stability, the fit and perfect adaptability of the aligner, the presence or integrity of attachments, the presence and maintenance of buttons and elastics, and the integrity of teeth and aligners.
The gingiva is also detected. Step 3: Detection of the different clinical parameters. Step 4: The AI will analyze the data and will then send instructions to the patient and the team based on the chosen protocol. Then, the orthodontist is notified when a situation that requires a clinical appointment appears. The interaction among patient/app/dentist is continuous, because the clinician can always monitor the images sent by patients and there is a notification when clinical attention is needed. Sensors 2021, 21, x FOR PEER REVIEW 6 of 14 networks that make the machine semi "intelligent. " Labeling included images about various clinical situations, concerning: debonding of braces, tubes, bands, or buttons, damage to hooks or temporary anchorage device ligatures, archwire disengagement, occlusal interferences with an archwire or a bracket, oral hygiene, soft tissues inflammation, gingival recessions, tooth damage, signs of aphthous stomatitis, dental eruption, appliance cleaning, black triangles, fixed and removable retainers stability, the fit and perfect adaptability of the aligner, the presence or integrity of attachments, the presence and maintenance of buttons and elastics, and the integrity of teeth and aligners.
The manifestation of the medium effects in observables is investigated for the K and K rapidity distributions, pT -spectra as well as the polar and azimuthal angular distributions, directed (v1) and elliptic (v2) flow in C+C, Ni+Ni, and Au+Au collisions. We find -by comparison to experimental data from the KaoS, FOPI and HADES Collaborations -that the modifications of (anti)kaon properties in nuclear matter are necessary to explain the data in a consistent manner. Moreover, we demonstrate the sensitivity of kaon observables to the equation-of-state of nuclear matter.
We will confront our theoretical results with available experimental data on (anti)kaon production at SIS energies and analyse the consequences of chiral symmetry restoration in strangeness observables. The outline of the paper is as follows: In section II we shall briefly recall the basic concepts of the chiral SU(3) model and G-matrix method used in the present investigation and describe the medium modifications of the K( K) mesons in this effective many-body model. In Section III we remind the basic ideas of the PHSD approach. Sections IV and V are, respectively, dedicated to the production and absorption of K and K mesons and their modifications in the nuclear medium. In section VI we investigate the properties of K( K) mesons in heavy-ion collisions and the results are compared to experimental data from different collaborations in section VII.
VII. COMPARISON WITH EXPERIMENTAL DATA In this Section we compare our results on strangeness production with experimental data from the KaoS, FOPI and HADES Collaborations at SIS energies and demonstrate the influence of different effects on the observables such as the in-medium modifications of (anti)kaon properties in terms of the kaon-nuclear potential for kaons and the self-energy within the G-matrix approach for antikaons -as well as scattering effects and the influence of the equation-of-state. We compare here two scenarios: with and without medium effects in the following sense: • with medium effects: i) for kaons (K + , K 0 ) we include a repulsive density-dependent potential which leads to a shift of the kaon mass to a larger value and thus to a shift of the production threshold, which leads to a modification of kaon production and its interaction cross sections -cf.
10  that in-medium effects are necessary to explain the experimental data on the rapidity distributions of K + , K 0 and K -mesons in Ni+Ni collisions at 1. 93 A GeV from the KaoS and FOPI Collaborations as well as K + , K 0 s and K -mesons in Ar+KCl collisions at 1. 76 A GeV from the HADES collaboration. However, there is a tension between the PHSD results on K + , K 0 s and K -meson rapidity distributions in Au+Au Collisions at 1. 23 A GeV and the HADES data (which are slightly lower in energy) -without as well as with medium effects. The overestimation for K + and K 0 s (including inmedium effects) is about 20%, while it is about of factor 2 for K -with medium effects. Thus, within the same model we do not find a consistent description of all three experiments. The origin for this contradictory message from the comparison of our results to the experimental data of the HADES Collaboration, and to the FOPI and the Kaos Collaborations requires further investigation.
The difference between the dashed line and solid line shows the effects of the (anti)kaon-nuclear potential on the v 2 of K + and K -mesons. One can see that the kaon potential -which is repulsive -shifts the v 2 of K + mesons to a more negative value, while the antikaon potentialwhich is attractive -moves the v 2 of K -mesons towards less negative values. We note that the kaon-nuclear potential is necessary to reproduce the experimental data from the KaoS Collaboration, but antikaon medium effects do not help to explain the KaoS experimental data for the v 2 of K -mesons. Finally we show in Fig. 24  the azimuthal angular distribution of K + in semi-central Au+Au collisions at 1. 5 A GeV (upper plot) and in semi-central Ni+Ni collisions at 1. 93 A GeV (lower plot). Since the rapidity range is the same as in Fig.
Acknowledgements The authors acknowledge valuable discussions with  Wolfgang Cassing  and his suggestions. We are grateful to  Daniel Cabrera  for providing us the G-matrix calculations. We are also thankful for inspiring discussions with  Christoph Blume ,  Laura Fabbietti ,  Yvonne Leifels ,  Manuel Lorenz ,  Pierre Moreau  and  Iori Vassiliev. Furthermore, we acknowledge support by the  Deutsche Forschungsgemeinschaft (DFG, German Research Foundation ): grant  BR 4000/7-1 , by the  Russian Science Foundation  grant  19-42-04101  and by the  GSI-IN2P3  agreement under contract number  13-70. L. T. acknowledges support from the  Deutsche Forschungsgemeinschaft (DFG, German research Foundation)  under the Project Nr. 383452331  ( Heisenberg Programme ), Nr. 411563442  ( Hot Heavy Mesons ).
Her research has been also supported by the  Spanish Ministerio de Economía y Competitividad  under contract  FPA2016-81114-P  and  Ministerio de Ciencia e Innovación  under contract  PID2019-110165GB-I00. This project has, furthermore, received funding from the  European Union 's  Horizon 2020 research and innovation program  under grant agreement No  824093  ( STRONG-2020 ). Also we thank the  COST Action THOR ,  CA15213  and  CRC-TR 211  ' Strong-interaction matter under extreme conditions '-project Nr. 315477589 -TRR 211. The computational resources have been provided by the  LOEWE-Center for Scientific Computing  and the " Green Cube" at GSI, Darmstadt.
In-depth analysis of the SF questionnaire Quantitative and semi-qualitative analysis of the SF questionnaire was performed. The answers were jointly analysed according to their priority contingency tables. A global score was defined for each technical topic as a weighted sum of each priority frequency (weights of À2, À1, 1 and 2 for the low interest, low priority, and intermediate and high priority response, respectively). A cluster analysis (Kmeans algorithm) based on these global scores was conducted to identify the main response features. The optimal number of clusters was determined using the silhouette criteria, which measures how close each response in one cluster is to responses in the neighbouring clusters  (Kaufman and Rousueeuw, 1990). In order to investigate the structural organisation of the different technical topics, a principal nonlinear component analysis specially designed for categorical data (PRINCALS GIFI framework  (Gifi, 1990)  was conducted to extract the coordinates of the vertices corresponding to each technical topic, in a Euclidean plan.
Acknowledgements This study is supported by the  European Community 's  Horizon 2020 Programme , in the frame of the  MEDIRAD-Implications of Medical Low Dose Radiation Exposure -A  project for the period  2017-2021  (this project has received funding from the M. Benderitter et al. : Radioprotection 2021, 56(4), 275-285 Euratom research and training programme  2014-2018  under grant agreement No. 755523 ).
RELAY (NCT02411448), a global phase 3 study, demonstrated superior PFS for RAM + erlotinib (ERL) compared to placebo (PBO) + ERL in patients with previously untreated EGFR mutation-positive metastatic NSCLC (median PFS: 19. 4 vs 12. 4 months; hazard ratio [HR]: 0. 59; 95% confidence interval [CI]: 0. 46-0. 76; p<0. 0001)  [24]. The safety profile observed in RELAY was consistent with the safety profile of RAM established in previous pivotal studies as well as the known safety profile of ERL and/or events expected to occur within the disease setting of advanced NSCLC  [25, 26]. The aim of this prespecified subset analysis of the RELAY study was to further evaluate patients enrolled in the EU and US to determine their specific efficacy and safety outcomes.
Interim overall survival As of data cut-off, the interim OS results were immature with a The EU/US subset had a total of 21 death events (out of a total of 79 observed in the overall population), with 11 on RAM + ERL and 10 on PBO + ERL. Final analysis will be conducted when at least 300 OS events have occurred. Progression-free survival 2 PFS2 results were immature (censoring rate 73. 5%), with only 30 PFS2 events (12 on RAM + ERL and 18 on PBO + ERL). Median PFS2 was not reached in either arm; a trend towards improvement in PFS2 was seen for RAM + ERL versus PBO + ERL (HR 0. 632 [95% CI: 0. 304-1. 313]) (Fig. 3 ).
Post-discontinuation therapy Of all patients in the US/EU population, 26 of 58 (44. 8%) patients in RAM + ERL and 34 of 55 (61. 8%) patients in PBO + ERL continued to first subsequent line of therapy (FST); respectively, 22 (37. 9%) and 17 (30. 9%) patients were still on treatment at the time of data cut-off (Supplemental Table  3 ). EGFR-TKIs were the most frequently used FST regardless of treatment arm (16 [61. 5%] patients in RAM + ERL vs 24 [70. 6%] patients in PBO + ERL), with osimertinib used in 5 (19. 2%) and 13 (38. 2%) of patients, respectively. Chemotherapy was utilized as FST in 8 (30. 8%) patients on RAM + ERL and 9 (26. 5%) on PBO + ERL. At the time of database lock, too few patients had continued to second-subsequent line of therapy preventing any meaningful interpretation (7 and 8 patients on RAM + ERL and PBO + ERL, respectively; Supplemental Table  3 ).
Acknowledgments We are grateful to  Steve Lenik  and  Laura Masur  for inviting us to participate at the symposium they organized in Saint Louis, MO and to follow up with the publication of the papers presented. Twenty-five years of research at  Habitation Loyola , in French Guiana, were made possible through research grants from  France's Department of Culture , through the  Service régional d'archéologie de la Guyane in Cayenne , and from the government of Québec, through the  Fonds de Recherche Société et Culture. Administrative responsibilities were carried out with care by the  Association pour la Protection du Patrimoine Archéologique et Architectural de la Guyane , and we are grateful for their contribution. We would also like to acknowledge the unrelenting volunteer work of the local participants and of the numerous archaeology students from Québec and from France who came every year to Guiana to work with us.
II. BACKGROUND A. IDS definition An IDS is a tool aiming at detecting attacks against hosts of a network. For that purpose, it collects with probes data related to the states of network and/or hosts and analyses these data in search for attacks. When an attack is detected, the IDS can log it and generate an alert. Data can be collected and analysed from two different places: from the network or from hosts, leading respectively to Network IDS (NIDS) or Host IDS (HIDS), that can also possibly be combined together.
They have access to more global data than HIDS but this data may be ciphered, regarding the analysed layer. Combining HIDS and NIDS to form a complete IDS, we may obtain: • a "distributed placement" with a light HIDS implemented in each object  [10] , • a "centralized placement" with a unique NIDS exploiting data from its probes  [11] , • a "hybrid placement" with a NIDS and several HIDS, collaborating together in this case  [12]. 2) "Detection methods" criterion: Used for instance in  [13] , the "signature-based detection" (or "misuse detection") compares the payload of messages to attack signatures stored in a database. This method only detects known attacks and has logically few false positives. However, keeping a low false negative rate relies on a challenging and rigorous maintenance of the database.
Using a communication technology-agnostic Software-Defined Radio (SDR) for signal acquisition, they construct their ML classifiers using features such as packets preamble duration, hopping clock skew and carrier clock skew. The recognition rate is excellent, initiating a strong authentication, but on the other side, the features, extracted from the physical layer, are necessarily specific to the studied technology. Also, as the authors say, SDR require expensive computation and are complex to handle by newcomers. In IoTSentinel  [16] , the authors focus also on the first axis: for each device introduced to the network, a "Security Gateway" performs a fingerprint based on the device initial network traffic. As part of a cloud "IoT Security Service" receiving the fingerprint, a set of behavioral classifiers (one per device type) recognizes the type of the introduced device.
On the contrary, a centralized NIDS presents the following advantages: its resources can be sized to the used detection algorithms and to the firmware update process (e. g. , for supporting a new protocol stack and/or new attack detections); typically, a 60 Euros Raspberry Pi 4 should fit these purposes. uniqueness of the IDS ensures mastered costs for design, maintenance and consumption. Also, like described in  [13] , it is possible to consider a wired link between the acquisition probe(s) and the IDS processing part, making the IDS still working in case of jamming of the house. Of course, as a drawback, a centralized NIDS is itself the unique point of failure in the protection. 2) An anomaly-based detection: maintaining a significative attack signature database in the heterogeneous context of IoT is unrealistic.
Useful and efficient in certain situations, this workflow is inappropriate in the cost-constrained context of our smart-home IDS (using already labelled datasets is an option but it is hard to find some dedicated to other traffics than IP). On the contrary, in an IT context  [20] , Terzi et al. chose for their IDS an unsupervised learning. Data points do not have to be classified; they make clusters based on the resemblance of their features. Making the reasonable assumption that attacks are rare and statistically different from normal situations, the points representing the attacks, even unseen ones, will be located in specific clusters with low density, allowing their detection. In addition to being inexpensive, clustering fosters an agnostic approach. 3) Features extracted from OSI link layer: for agnosticism and reusability, features extracted to perform the detection should be common to all considered technologies.
as meat, fish, and milk is a good strategy to obtain functional foods and improve their quality and shelf life during storage. Acknowledgments: Authors are grateful to the Director,  ICAR-Indian Veterinary Research Institute (IVRI) ,  Izatnagar, Bareilly, India , and the  Station In-charge, Eastern Regional Station ,  ICAR-IVRI, Kolkata, India , for their inspiring words of encouragement in writing this review article. Thanks to  GAIN (Axencia Galega de Innovación)  for supporting this study (grant number  IN607A2019/01 ). Authors (M. P. and J. M. L. ) are members of the  Healthy Meat network , funded by  CYTED  (ref. 119RT0568).
Patients frequently report chronic postsurgical pain (CPSP) after breast cancer surgery (BCS). The paravertebral block (PVB) is an effective technique to reduce acute postoperative pain after BCS, but its efficacy in preventing CPSP is unclear. This meta-analysis evaluates the efficacy of PVB in preventing CPSP after BCS. We searched Medline, Embase, CENTRAL, Database of Abstracts of Reviews of Effects, ClinicalTrials. gov, and WHO International Clinical Trials Registry Platform for studies comparing PVB with control for CPSP prevention after BCS, from inception to April 2020. The primary outcome was CPSP at 6 months, and the secondary outcomes were CPSP at 3 and 12 months, chronic postsurgical neuropathic pain (CPSNP) at 6 months, and PVB-related complications. Data were pooled and analyzed with a random-effects model, and the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) system was used to evaluate the certainty of evidence.
Data sources and search strategy The study was registered with the International Prospective Register of Systematic Reviews (PROS-PERO; CRD42020183041). This systematic review of randomized controlled trials (RCTs) and observational studies was performed in accordance with the criteria of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and the current recommendations of the Cochrane Collaboration. 20 We searched CENTRAL, Medline and Embase databases for studies included from database inception to April 24, 2020, with no limitations on publication language or status, using the terms 'chronic postsurgical pain, persistent postoperative pain, paravertebral nerve block, paravertebral block, breast surgery and breast cancer surgery'. We identified RCTs with the highly on June.
Study selection We retained all studies including adults undergoing elective BCS. The intervention of interest was paravertebral nerve block performed with a single-injection technique (single-shot) or a catheter-based infusion (continuous), including single level or multiple levels, with any local anesthetic, at any dose, with or without adjuvants, and for any duration, versus conventional pain control. A single-injection technique (single-shot) could offer a single-level block or a multiple-level block and we extracted the data as cited in the studies. Two authors (VM and HH) independently screened the titles, abstracts, and full manuscripts according to the selection criteria. Any disagreement was discussed with a third author (DF) until consensus was reached.
Data extraction and assessment of risk of bias Two reviewers (HH and VM) independently extracted data from each study. Disagreements were resolved by consensus with a third reviewer (DF). We extracted information about the trials (first author, year of publication, country, number of arms in the study, and sponsorship), participants (characteristics of the population and number of patients randomized and analyzed), experimental intervention (PVB technique, anesthetic dose, and level of the nerve block) surgical technique, and adjuvant treatment. Two independent reviewers (HH and VM) assessed the quality of the trial methodology with the Cochrane Risk of Bias Tool, with any discrepancies resolved by consensus. 22.
Strengths and limitations of the meta-analysis Our meta-analysis has several strengths. Our exhaustive search included all electronic databases and had no language restrictions. Our review contained more RCTs and a 493% larger sample for the 6-month time point than the most recent meta-analysis by Hussain et al. It provides reliable validity for the negative results, for a 30% decrease in RR for CPSP at 6 months. We were also able to analyze the effects of PVB at 3 and 12 months after surgery, making it possible to paint a general picture of the effect after surgery. Finally, through subpopulation analysis, we were able to suggest a specific impact of PVB on the development of CPSNP. Our meta-analysis also has several weaknesses. First, variability in terms of the type of surgery and PVB intervention may have caused significant heterogeneity.
Argo and GO-SHIP data are collected and made freely available by the International Argo Program and the International Global Shipbased Hydrographic Investigations Program, respectively, and the national programs that contribute to them (http://www. argo. ucsd. edu; http://www. go-ship. org/). The authors gratefully acknowledge support from their respective Argo and GO-SHIP national programs or national agencies, which have made these programs possible. We especially recognize the hundreds of individuals whose names do not appear in this publication but whose contributions on land and sea have brought the vision of Argo and GO-SHIP to fruition. ARTICLE DOI: https://doi. org/10. 5670/oceanog. 2021. supplement. 02-02.
Study Design and Participants We performed a retrospective study of adult patients (aged 18 and older) having undergone kidney transplantation at Amiens University Medical Center (Amiens, France) between January 1, 2012, and June 15, 2018. We excluded patients (i) with missing data for their clinical status and/or treatments before transplantation, (ii) with missing data for more than 2 of the 4 study time points, (iii) who were lost to follow-up, (iv) who died within a year of transplantation, and (v) who underwent preemptive kidney transplantation (Figure  1 ). In line with the French legislation on noninterventional studies, approval by an investigational review board was neither required nor sought. However, the study was registered with the French National Data Protection Commission (Commission Nationale de l'Informatique et des Libertés [Paris, France]; registration number: PI2019_843_0055).