dataesr/scientific-paragraphs-categorization huggingface dataset:
Histological analyses In Experiment 2, the number of Arc-positive cells in basolateral (BLA), lateral (LA) and central (CeA) amygdala nuclei was quantified by calculating the density of particles analyzed using NIH ImageJ software. One coronal section for the posterior part of the amygdala ranging from -2. 52 to -3. 24 for each rat was analyzed. After threshold adjustments, the mean of bilateral values of density to each area were calculated, so the mean of each group was grouped. Data were analyzed by two-way analyses of variance (ANOVA) using Jasp statistical software (0. 16. 0. 0). Significant effects in the ANOVA (p < 0. 05) were followed by the post-hoc test (Bonferroni).
Funding Fundação de Amparo à Pesquisa do Estado de São Paulo  ( FAPESP, Brazil ) and  Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES-Brazil)  to  TT, CNRS, Paris-Saclay University  and  Agence Nationale de la Recherche  ( ANR-17-CE37-0014 ) funding (France) to VD, and  Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Brazil)  to JB.
Methods Participants. In total, 45 participants were recruited for the study. Three neurotypical participants were excluded from the analysis due to errors in the data collection. Thus, the data of 42 participants were entered into the analyses, 20 of them were neurotypicals, and 22 of them had a diagnosis of ASD. Neurotypical participants were screened for diagnoses of any psychiatric or neurological disorders, and none of them scored higher on the autism spectrum quotient (AQ) questionnaire than 27, which means that they do not tend to show autistic behavioral patterns  49. ASD diagnoses were provided by trained clinicians; both childhood scores of autism diagnostic interview-revised (ADI-R) and autism diagnostic observation schedule, IV-module (ADOS-IV)  50, 51  confirmed the diagnosis.
Statistical analysis. Statistical analyses were carried out using JASP 0. 16. 1. 0  54  , and data preparation and visualization were conducted using Python 3. 8, using pandas, NumPy, os, matplotlib, and seaborn packages  [55] [56] [57]. First, we determined about each trial in a sliding window manner whether, based on the two elements preceding it, they were the last element of a high-or a low-probability triplet (for the sake of simplicity, henceforth referred to as high-probability and low-probability triplets). That is, considering the example in Fig. 1 , if the stimuli followed the "13214232" order, first, trial "2" was categorized as a high-probability triplet (1 3 2) element. Then, trial "1" was categorized as a high-probability triplet (3-2-1) element again, and so on. After this categorization, we excluded the last elements of trill (e.
Acknowledgements This research was supported by the  IDEXLYON Fellowship of the University of Lyon  as part of the  Programme Investissements d' Avenir  ( ANR-16-IDEX-0005 ) (to D. N. );  National Brain Research Program  (project  2017-1. 2. 1-NKP-2017-00002 );  János Bolyai Research Scholarship  of the  Hungarian Academy of Sciences  (to K. J. ). Project No. 128016  has been implemented with the support provided by the  Ministry of Innovation and Technology of Hungary  from the  National Research, Development, and Innovation Fund , financed under the  NKFI/OTKA K  funding scheme (to D. N. ). Project No. 124148  has been implemented with the support provided by the  Ministry of Innovation and Technology of Hungary  from the  National Research, Development, and Innovation Fund , financed under the  NKFI/OTKA PD  funding scheme (to K.
Electroencephalography (EEG) holds clinical advantages over fMRI (high temporal resolution, low cost, portable) however its use to study reward processing in alcohol dependence is limited. We aimed to carry out the first EEG MIDT (eMIDT) study in alcohol dependence. Methods: 21 abstinent alcohol dependent individual and 26 controls performed an MIDT while brain activity was recorded under 64-channel EEG. During the task participants were shown reward incentive cues, followed by a target stimulus and feedback informing them if they had successfully won, or avoided losing money. Trial averaged event related potential (ERP) and single trial machine learning discriminant analyses was applied to the EEG data 3. Clinical variables related to severity of dependence were collected and relationships with ERP data explored.
The aim of this study is to explore the incidence of inadequate response to antidepressants in the primary care of depression. Methods: The PReDicT study was a randomised controlled trial in which medication-free depressed patients were assigned to either receive treatment guided by a predictive algorithm or treatment as usual, and then monitor their symptoms for 8 weeks 4. In a follow-on study at 32 sites in the United Kingdom, a subset of patients were provided with the opportunity to continue monitoring their symptoms via an online application for a 40 weeks. 184 patients provided a complete 48 week dataset. Symptoms were recorded with a variety of questionnaires, including the Quick Inventory of Depressive Symptomatology-SR16 (QIDS-16). Only patients with moderate or high depression (defined as a QIDS score of 16 before treatment) were included.
Methods: A total of 233 FEP patients (mean age ¼ 24. 5 years, SD ¼ 5. 4) with clinical and functional data included in the main project met the following inclusion criteria: aged between 16 and 35 years at recruitment; < 12 months history of psychotic symptoms; provided blood samples for genetic analysis and passed the genetic quality control; the ability to speak Spanish correctly and signed written informed consent. For the PRS calculation, genome-wide association study (GWAS) summary results from multiple repositories (Psychiatric Genomics Consortium and Social Science Genetics Association Consortium) were used. The selected PRSs was education attainment (PRSEA; 1 131 881 individuals)  [4]. The overall functional outcome was assessed by means of the Functioning Assessment Short Test (FAST).
Few studies have explored the specific association of language barrier with inadequate PCU. The very limited available literature has thus far focused mainly on qualitative analyses of the difficulties of health care access for migrants with such barrier. 13, 14 Exploring if and how language barrier may be associated with inadequate PCU could provide insights into the causal mechanisms of health disparities among migrant women and into the possibilities for preventive interventions. The French multicentre prospective PreCARE cohort, as one of the few databases including information on this barrier among migrant pregnant women, offers the opportunity to explore this issue. Thus, our aim was to assess the association between language barrier and inadequate PCU among migrant women.
Data collection Data on social and demographic characteristics (age, deprivation index, education level, social welfare coverage at inclusion, maternal region of birth, length of residency and legal status) were collected by self-administered questionnaires at inclusion and repeated during the postpartum period before discharge. To enable the inclusion of women not speaking French fluently or who could not read or write, these questionnaires were available in English, Chinese and Romanian, and a research assistant or interpreter helped in their completion when needed. Data on women's medical history and information about their pregnancy, labour, delivery and postpartum period were collected by research assistants and practitioners (midwives and obstetricians) with specific questionnaires completed from the medical files in the postpartum period before discharge.
Migrant women with a language barrier, especially those with a total language barrier, had a higher frequency of inadequate PCU compared with both natives and migrants with no language barrier (table 2). Compared with natives and migrants with no language Association between language barrier and inadequate prenatal care utilization 3 of 8   Multiple imputation using chained equations (20 datasets) was performed. aRR, adjusted risk ratio; CI, confidence interval; RR, risk ratio. Multivariable models among 4803 migrant women after multiple imputation: Model 1 adjusted for maternal age and parity (in three classes: 0, 1 or 2). Model 2 adjusted for same variables as Model 1 and maternal region of birth [in six classes: Europe (others than France), North Africa, Sub-Saharan Africa, Asia, Middle East and Other].
Acknowledgements The PreCARE cohort study was conceived by  Professor Dominique Mahieu Caputo , who worked intensely on this project until her premature death. The PreCARE study group wishes to pay tribute to this exceptional woman without whom this cohort would not have existed. The authors would like to thank  Marion Schneider  ( URC Paris-Nord, AP-HP, Paris, France ),  Sofia Zemouri  ( URC Paris-Nord, AP-HP, Paris, France ),  Imane Younes  ( URC Paris-Nord, AP-HP, Paris, France ),  Nessima Yelles  ( URC Paris-Nord, AP-HP, Paris, France ),  Cosmina Husleag  ( URC Paris-Nord, AP-HP, Paris, France ),  Fadela Akroun  ( URC Paris-Nord, AP-HP, Paris, France ),  Lynda Lagha  ( URC Paris-Nord, AP-HP, Paris, France ),  Sarra Pochon  ( URC Paris-Nord, AP-HP, Paris, France ) and the team of the  CIC-EC 1425  for their help and support during this study.
Participants Children in the 2nd, 4th, 6th, 8th, and 10th grade from Portugal were recruited to participate in this study. Children and parents (or legal guardians) were informed about the purpose of the study and signed an informed consent before the child's participation in the study. The study was conducted in accordance with the tenets of the Declaration of Helsinki, reviewed and approved by the ethics committee for Life Sciences and Health of the University of Minho (SECVS 147/2016). A total of 167 children from 7 to 16 years of age participated, the mean age was 12 years (SD = 3 years) and 48% were females. We chose to include specific school grades starting with the second grade due to several reasons: 1) we started with children in the 2nd grade because those in the 1st grade were expected only to do word naming, not fluent reading, at the time of data collection, 2) we opted to measure reading speed every second year to test if changes were occurring as expected in line with cognitive development.
MNREAD data collection and extraction The Portuguese version of the printed MNREAD chart was used to measure reading performance. 6 The room settings are shown in Fig. 1. Reading distance was set at 40 cm and the participants read the chart binocularly. With their habitual correction, if any, children were instructed to read the sentences aloud as fast and accurately as possible from the largest to the smallest print size. The reading time and number of misread words were recorded on a score sheet by the experimenter (LHM) who has extensive experience in performing the test. 4, 7, 12 Children had a practice run to get familiar with the task using one of the 2 versions of the charts available, the chart version for the training was randomly selected, the alternative version was used for measuring the reading parameters reported here.
Measurements were performed during the normal school hours, typically any time between 8:30 and 15:30. Data that was collected on the scoresheet was then processed in R. 14  The mnread-R package was used to plot individual MNREAD curves of reading speed as a function of print size. 15 The NLME model with negative exponential decay function calculated the maximum reading speed (MRS) and critical print size (CPS) automatically. CPS was calculated at 80% MRS with NLME model, as this cut-off value was found to be reliable in previous studies. 7, 16 Reading acuity (RA) and reading accessibility index was calculated manually. The standard formula for calculating reading acuity was 1. 4 À (sentences £ 0. 1) + (errors £ 0. 01) and for reading accessibility index (ACC) was mean reading speed for the largest print sizes on the chart divided by 200.
Data analysis A ShapiroÀWilk's test (p > 0. 05) and a visual inspection of the histograms, normal QÀQ plots and box plots showed that only MRS was normally distributed. A one-way ANOVA with post hoc Tukey was conducted to investigate the effect of school grade on MRS. We also investigated the effect of age on MRS by performing a linear regression and quadratic fit. A non-parametric KruskalÀWallis test with post hoc multiple comparison was performed for CPS and RA. Statistically analysis was performed using SPSS (IBM-SPSS v26, Illinois) and the graphs were plotted using GraphPad Prism (Graph-Pad, CA).
Materials and procedure After obtaining informed consent, participants completed the questionnaire in a fixed order. They first completed the Narcissistic Personality Inventory, then the measure of HAB, and finally the demographic measures. All measures, manipulations, and exclusions in the study are disclosed. No additional data were collected once data analysis was started. Narcissism. Grandiose narcissism was measured using the French version  (Braun et al. , 2016)  of the Narcissistic Personality Inventory (NPI;  Raskin & Terry, 1988). The 40-item questionnaire had to be answered on a 5-point scale (1 = not at all, 5 = very much). Sample items from the scale are "If I ruled the word it would be a better place" and "I'm going to be a great person". Participants' ratings on all 40 items were averaged to create a total score of grandiose narcissism (M = 2.
Participants and design In this study, 130 French participants (65% females, M age = 41. 5, SD = 17. 8, age range 18-67 years) were recruited online to participate in a web-based experiment. As in Study 1, data were collected through convenience sampling with the help of voluntary research assistants who shared the study on social media. The experiment had a between-subjects design, with participants randomly assigned to one of the two conditions: High perspective taking (N = 67) or low perspective taking (N = 63). A sensitivity analysis, computed with the R package "pwr," indicated that this sample size (N = 130) was sufficient to detect a correlation of at least r =. 24 for the narcissism-HAB relationship, and a d =. 35 for the effect of perspective taking on HAB, given  =. 05 (two-tailed) and power =.
The questionnaire included some socio-demographic questions as well. We collected information on individuals' country of origin, gender, age, and their affiliation to a cer-tain target group (foresters, private forest owners, and members of environmental nongovernmental organisations). The questionnaire was originally designed in English and then translated into local languages of our target countries (Croatian, Dutch, French, German, Hungarian, Italian, Romanian, Serbian, and Slovenian). For each country, there was at least one contact person who was responsible for translation and distribution of the questionnaire. The questionnaire was uploaded on the Google Forms platform and continued to be managed using the CAWI (computer-assisted web interview) method, an online questionnaire that respondents fill in by themselves  [25, 26].
In the first step, a model was built that included the independent variables as fixed effects: regarding whether the respondent declared himself a forester (yes/no), forest owner (yes/no), environmental NGO member (yes, actively; yes, passively; no), forest visitor (once a day; several times a week; several times a month; several times a year; less often than that); gender (M/F); and age category (18-25; 26-35; 36-45; 46-55; 56-65; more than 65 years). The next step consisted of comparing the completed model with each possible model through a model selection procedure based on Akaike's information criterion (AIC)  [28]. In this way, the model with the lowest AIC value is considered the best, given the data and the set of candidate models. The statistical analysis was performed using the R software  [29]  with the packages "MASS", lme4  [30, 31] , and ggalluvial  [32].
Funding: This research was carried out within the  EUPHRESCO  project-' Corythucha arcuata (Heteroptera, Tingidae): Evaluation of the pest status in Europe and development of survey , control and management strategies'. https://zenodo. org/record/4898795#. YLnOWfkzaUk (accessed on 6 March 2023). Contribution of F. B. was supported by the projects  PN 23090102  and  34PFE. /30. 12. 2021  ' Increasing the institutional capacity and performance of INCDS "Marin Drăcea " in the activity of  RDI-CresPerfInst ' funded by the  Ministry of Research, Innovation and Digitalization of Romania. M. d. G. was supported via the Administration of the Republic of Slovenia for Food Safety, Veterinary Sector and Plant Protection and the core research group "Forest ecology, biology and technology" ( P4-0107 ) funded by the  Slovenian Research Agency.
Search protocol The YouTube search was conducted on June 4, 2020. This search was performed on the Google Chrome browser after deleting all browsing history and cookies, and after logging out of any Google account. The results were sorted using the default "view count" filter. The first 100 videos for each keyword association were selected. There was 6 keyword association, chosen to be the most representative of the searches made on this theme: "COVID19" or "Sars-Cov-2" or "Coronavirus" and "Hydroxychloroquine" or "Chloroquine"  [8, 9]. The selected videos had to be presented in English or French; English being the first language adopted for scientific writing and French representing, through Professor Raoult and his position papers, an important part of the controversy on this topic  [7, 10].
Data collection Two reviewers (CP and YLN) independently viewed and analyzed each selected video. For each video, the number of views, likes, dislikes, and comments were collected on the same day to ensure an appropriate cross-sectional evaluation. The intrinsic video features collected were the date of publication of the video, the geographic origin, the duration, the publication category (news channels, health professionals, educational organizations, lay users, hospital/foundation, other), the nature of video content (neutral or taking position in favor or disfavor of chloroquine; factual or non-factual information with erroneous, discriminatory or racist messages), characteristics of the expert presenting the video (gender, politician). The quality of each video was assessed with the DISCERN and the modified JAMA scores.
Statistical analyses Descriptive analyses were made for each video characteristic. The association of DISCERN and modified JAMA scores with continuous variables was assessed using Spearman rank correlation. The comparison of ordinal and count data according to video characteristics used Wilcoxon-Mann-Whitney or a Kruskal-Wallis test. Proportions were compared by X 2 test or Fisher's exact tests, as appropriate. Interrater agreement was assessed using the weighted kappa statistic for ordinal scores and the intraclass correlation coefficient assuming randomly selected raters for the DISCERN sum score. The evolution of DISCERN and JAMA scores over time, based on the publication date, were analyzed using a Bayesian proportional odds model, considering scores as ordinal outcomes. Given the multiple analyses, p values < 0.
Functions associated with the gut microbiota of H. illucens The study of the H. illucens microbiota is recent and its functional diversity has only recently been examined. The functions and effects associated with bacteria residing in the H. illucens gut currently rely largely on functional inference based on short-read metabarcoding data and are therefore highly speculative. For example, several studies have used the PICRUSt software  [116]  to sketch potential functions associated with the bacterial microbiota of H. illucens  [67, 68, 71]. Inferring microbiota functions from taxonomic genes is a fast and inexpensive approach, but it lacks robustness because it relies only on the use of part of a marker gene and is highly dependent The digestive tract of this insect species is characterized by an extremely long midgut.
illucens transcriptome available in public databases. Their analysis suggests that H. illucens is the recurrent host of Totiviridae, a family of double-stranded RNA viruses. Nevertheless, the exact nature of these interactions remains unknown. H. illucens larvae have been shown to effectively reduce the viral load in substrate contaminated with different types of viruses (Orthoreovirus, Mastadenovirus, Teschovirus)  [136]. Yet, although H. illucens likely interacts with a variety of viruses in its environment, no virus typically associated with this insect has yet been detected in vivo. Mass-reared insects typically deal with a range of viruses that need to be known and detected to prevent production losses or even prevent any risk of transfer of viral pathogens from the insects to other links in the food chain  [137].
Examining heterogeneity in literacy skills Some studies have highlighted the different level of performance in reading and reading-related skills from preschool to the early primary grades. Using K-means cluster analysis,  Cabell et al. (2011)  distinguished five profiles in preschoolers (N = 492) based on various data collected for receptive and expressive grammar, receptive and expressive vocabulary, and code-related skills. Boscardin et al. (2008)  followed 411 children from kindergarten to Grade 2 assessed four times per year for PA and word recognition (WR). Growth mixture modeling analyses revealed five profiles (Pr) in kindergarten, going from children in Pr1 with the lowest PA scores (with no growth during the year) to those with the highest phonological awareness scores (Pr5), with the scores increasing from Pr2 to Pr5 and during the year for each profile.
Two other studies investigated whether low performance profiles are related to reading difficulties. In a study involving only first graders (N = 290),  Grimm et al. (2018)  highlighted two at-risk groups with low scores in reading tasks and three profiles for higher performances (without risk) differentiated on PA and decoding. At the same time,  Ozernov-Palchik et al. (2017)  succeeded in predicting reading difficulties in Grade 1 on the basis of data obtained at the beginning of kindergarten (N = 1,215). Six profiles were revealed in the light of the scores in PA, RAN, LSK, and verbal short-term memory measures. The authors also observed a higher frequency of PA and RAN deficits in children from lower SES backgrounds. While these previous studies were carried out with Englishspeaking students, the two described next concern three languages, German, Finnish and Dutch.
Method Participants A set of data was extracted from the French national cohort of children ELFE (for a presentation of this cohort, 3 see  Charles et al. , 2020). In this study, data concerning different variables were collected via interviews with parents at 1 year (when their child was 1 year-old) and at 3. 5 years, and at school from the children. The children performed various (literacy and numeracy) tasks in booklets in response to the instructions given by their teachers in preschool (t1) and then 2 years later in first grade (t2); (then descriptive data are presented in Table  1  and correlations matrix in Table  2 ). Children with a disability status established by a psychologist or recognized by the teacher were not included in this sample. Finally, this longitudinal study is based on data collected from parent interviews and from 2,767 children (1,182 boys, 1,207 girls; 378 not specified; mean age (t1) = 57.