dataesr/scientific-paragraphs-categorization huggingface dataset:
Introduction About 500 fire events in Nuclear Power Plants (NPPs) were recorded in the recent version of the OECD FIRE Database  [1]  for the period from the 1980's to the end of 2017. More than 10 % of these events involved electrical cabinets. These last ones are indeed a potential source of fire since they contain both combustible materials and live electrical circuits  [2]. Nowadays, the ability of a cabinet fire to spread to neighbouring cabinets is still a major concern for fire safety in NPPs. The electrical cabinets in NPPs can commonly be laid out in multiple parallel rows, as found for example in control or switchgear rooms  [3]. Several studies  [4] -  [9]  investigated the fire spread between adjacent electrical cabinets. In contrast, little research has addressed a scenario in which electrical cabinets are located opposite each other.
Conclusion We analyzed the disk-integrated phase curves of Venus at 283 and 365 nm in the 3°-152° phase angle range. The observational data over 3 years were acquired by the UV camera on board Akatsuki. We calculated synthetic phase curves with a backward Monte Carlo algorithm to take into account multiple scattering over the full-disk. We explored the 365 nm phase curves with models that incorporate a number of free parameters on the unknown absorber, namely: vertical location and thickness of the unknown absorber layer, and absorption coefficient of the unknown absorber. Our results show that the unknown absorber can exist in the entire upper cloud, or as a thin layer, but it is required that sufficient absorption be present within one cloud scale height immediately below the cloud top. From our analysis at 283 nm, it turns out that we cannot separate absorption by SO 2 and the unknown absorber.
Data Availability Statement UVI data are publicly available at the JAXA archive website, DARTS (http://darts. isas. jaxa. jp/), and the NASA archive website, PDS (https://pds. nasa. gov/). UVI level 3x products are used in this study, L3bx (doi:10. 17597/ISAS. DARTS/VCO-00016,  Murakami et al. , 2018) , and the mean phase curve data are tabulated in supplementary Table  S2. Processed individual disk-integrated albedo values at 283 and 365 nm are available as supplementary data of Lee et al. (2020).
Acknowledgements The results in this paper were presented during the conference on the occasion of  Idun Reiten 's birthday in Trondheim in May 2017. We would like to thank the organizers of this conference, and dedicate this paper to  Idun Reiten. The first author would like to thank  François Dahmani  for interesting discussions on free groups and for pointing out reference [S77]. We are grateful to  Anna Felikson ,  Daniel Labardini-Fragoso ,  Pavel Tumarkin  and  Yu Zhou  for interesting discussions.
Acknowledgements This work was granted access to the  HPC resources of Aix-Marseille Université  financed by the project  Equip@Meso  ( ANR-10-EQPX-29-01 ) of the program Investissements d'Avenir supervised by the  Agence Nationale de la Recherche. This work was supported by project of ProLB software ( http://www. prolb-cfd. com ). Part of this research was supported by  ANR , Renault, Airbus and SafranTech by the  Industrial Chair Program ALBUMS  ( ANR-CHIND-18-ALBUMS ).
Changes in production data (weekly mortality rate, mean laying rate and mean egg weight) were analysed for significant changes over time using a linear regression model. The slope of the regression line was compared to zero, a positive slope indicating an increase with time, a negative slope a decrease with time. Laying rates and egg weights were assessed in relation to published standard %efficacy = X pre -X post X pre. 100 Data collected Units Study week -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 Mite traps ≥ 20 traps X a X b X b X b X b X X X b X X b X b X b X Treatment d House X X Observations production data for the breed of bird used on each farm  [22, 23]. Pre-and post-treatment behavioural observations were compared using a mixed linear model. The number of bouts (or % activity of hens) was the dependent variable; study phase (pre-or post-treatment) and, for the free-range farm, day and night observation point interactions were the main effects to be investigated; study week was the repeated factor and observation point the random factor.
Acknowledgements The authors would like to thank  Roland Bronneberg  and  Berrian Lammers  ( Avivet ) for conducting the mite counting,  Nadine Matlé  for monitoring the study,  Sabrina Fuhrmann  for conducting the data management and  Dr. Bill Ryan  ( Ryan Mitchell Associates, LLC ) for assistance with the manuscript. DE was supported by the  Spanish Ministry of Economy, Industry, and Competitiveness  (Grant Number  IJC2018-035105-I ).
Using Indian Demographic Health Survey (DHS) program data to assign children into these 4 categories, they found that 36. 3% of children had micronutrient deficiency without showing any sign of anthropometric failure. Including those children who also showed signs of anthropometric failure, more than 80. 3% of children did not meet the WHO standard for minimum acceptable diet (compared with 53. 8% who showed signs of anthropometric failure). By using this newly proposed typology, that study  13  showed that considering anthropometric measures only to estimate the extent of undernutrition does not capture the full burden and that many children with insufficient micronutrient intake remain "hidden," which leads to imprecise target groups for nutrition interventions. Our analyses for India showed very similar results (Table  1 ).
In this study, we extended the DAF framework introduced by Beckerman-Hsu et al  13  to 55 LMICs for which DHS data were available. We calculated country-specific typology patterns and derived an estimate of the magnitude of the true burden caused by anthropometric failure and micronutrient deficiency together among children aged 6 to 23 months. We also estimated how many children may be overlooked if the global health community continues to assess child undernutrition based on anthropometric failure alone.
Study Population and Sample Size Our analyses included children aged 6 to 23 months, which is in line with the WHO Indicators for assessing infant and young feeding practices. 17 We obtained nationally representative DHS data from 55 LMICs for 208 044 children aged 6 to 23 months who were the youngest child in their household and who lived together with their mother. 18 Of our sample of 208 020 children, 166 929 had height and weight measurements used to derive the z scores to identify anthropometric failure. Of these.
Outcomes Anthropometric Failure Children's anthropometry data (measured height and weight) were obtained from the DHS data. The WHO child growth reference standard z score was used to identify children with stunted growth (height-for-age z score <2), who were underweight (weight-for-age z score <2), and had muscle wasting (weight-for-height z score <2). Anthropometric failure was defined as a binary variable with anthropometric failure prevailing if a child had stunted growth, was underweight, had muscle wasting, or a combination of these failures.
Dietary Failure Children's dietary data were based on a 24-hour recall in the DHS surveys. Children's consumption of the following 8 food groups was collected: (1) grains, roots, and tubers; (2) legumes and nuts; (3)   dairy products (milk, yogurt, cheese); (4) flesh foods (meat, fish, poultry, and liver/organ meats); (5)   eggs; (6) vitamin A-rich fruits; (7) vegetables; and (8) breast milk. We defined dietary failure as a binary variable, assigning the outcome yes if the child's dietary intake did not meet the minimum dietary requirements as defined by the WHO classification from 2017, which required an intake of a minimum of 5 of 8 different food categories. 17 As recommended by the DHS,  18  food categories with answers such as "do not know" or that were missing individual data points were assigned an outcome of no.
Statistical Analysis We cross-tabulated anthropometric and dietary failures yielding 4 potential outcomes: DFO, AFO, BF, and NF. We calculated the prevalence of DAF. For each respective DAF category, we calculated the prevalence of DAF on national levels for all 55 LMICs. Additionally, we estimated the burden, in terms of total number of children, of each DAF category by using United Nations population data from 2018 for children aged 0 to 5 years for these 55 countries. Given that DHS is a nationally representative data set, we extrapolated the share of children aged 6 to 23 months (30. 3%) from children aged 0 to.
Limitations Our study had 2 sources of data limitations. First, given that the dietary data were self-reported by mothers based on a 24-hour recall, the innate nature of the data was subject to some measurement error. However, DHS data on dietary intake have been found to be appropriate for the population level. 22 Second, our estimates may have been biased by survey nonresponse and missing data for specific survey items or countries. However, given that we obtained complete nutrition and anthropometric data for approximately 80% of all children in the sample for 55 of the 60 countries that conducted the standard DHS surveys in the past 10 years (data from Afghanistan, Philippines, Jordan, Indonesia, and Madagascar were missing), any bias is expected to be small.
Acknowledgements We thank  Gergely Endrődi ,  Eduardo Fraga , and  Norberto Scoccola  for helpful discussions. This work is supported by the  Leverhulme Trust  under grant no  RPG-2018-153. A. S. acknowledges support by the  Science & Technology Facilities Council (STFC)  in the form of an  Ernest Rutherford Fellowship. The work of N. K. is supported by the  ERC  Consolidator.
The damping is also reasonably well assessed. As expected, the loss in the laminated glass is much lower than that of the PVB (whose the real and imaginary part are almost equal in the ranges of the eigen frequencies and of the temperatures of the experiments). It is worth mentioning that the experimental data are acquired during short-time dynamic tests performed with a limited number of oscillations. This procedure is to be preferred to purely harmonic tests with a large number of cycles. Indeed, in that case, a drift in the response appears due to the self-heating of the PVB induced by the viscous dissipation. Actually, such a drift has been observed during a few experiments performed with a large number of cycles. The thermodissipation coupling in the PVB has been confirmed by the thermal camera measurement.
Driving Characteristics and Charging Profiles People have different attitudes and living styles, and therefore, they differ in their driving patterns, which significantly affects the spatial-temporal distribution of the charging load (e. g. , EV battery). However, the EV charging load profiles vary and depend mainly on the type of charging preferences, EV user habits, and energy consumption rates. In  [34]  the driving data for different users are analyzed in time and space dimensions to understand driving patterns of different populations, grouped by age as a demographic attribute. The daily driving distance is the factor to compare the behavior of different EV users. The U. S. National Household Travel Survey dataset, as in  [34] , shows the daily driving distance and where the elderly drive for a short distance.
PV-Powered EV Charging Stations Power Flow Management The EV charging station considered in this paper is PV-powered including stationary storage and public grid connection, modeled using MATLAB/Simulink R2015b as illustrated in Figure  3. Where PV MPPT p is the PV power in maximum power point tracking (MPPT) mode, PV p is the PV power, G p is the public grid power, S p is the stationary storage power, EVs D p the EVs total demand power, and EVs p is the total EVs power. The public grid can absorb or supply power. The capacitor C represents a common DC bus, where the components of the charging station are coupled through their dedicated converters. PV sources are connected to the DC bus through the DC/DC converter to extract the MPPT power. The stationary storage is needed to construct the DC microgrid and it is connected through a reversible DC/DC converter.
PV-Powered EV Charging Stations Power Flow Management The EV charging station considered in this paper is PV-powered including stationary storage and public grid connection, modeled using MATLAB/Simulink R2015b as illustrated in Figure  3. For delivered and accepted power of 1. 8 kW, the time required is more than 24 h to charge 80% and around 3 h to charge 10% of EV battery capacity. On the other hand, the time required is around 1 h to charge 80% and around 6 min to charge 10% of EV battery capacity, for delivered power of 100 kW and accepted power of 50 kW. Thus, a 10% increase of charge, e. g. , 5 kWh, is possible with reasonable charging time depending on delivered/accepted power. Therefore, the EV charging load profile must be built to increase PV benefits for PV-powered EV charging stations.
Acknowledgements The experimental work was performed in the  Europlanet 2020 RI framework , which has received funding from the  European Union 's  Horizon 2020 research and innovation programme  under grant agreement No  654208. O. P. acknowledges a postdoctoral fellowship from the  Centre National d'Études Spatiales (CNES)  for funding. S. M. P. is supported by  Université Grenoble Alpes (IRS IDEX/UGA ). P. B. and O. P. acknowledge funding from the  European Research Council  under grant  SOLARYS (77169 ). This work has been supported by the  Italian Space Agency (ASI)  through grant  ASI I/004/12/2. We thank  Frédéric Charlot  for assisting with the SEM.
Data availability All laboratory spectra are available in the Cold Surfaces Spectroscopy Facility (CSS) on SSHADE  51, 52. Global colour maps of Ceres used in Fig. 1  that were derived from Dawn framing camera images are available at https://doi. org/10. 5281/zenodo. 4251217. Dawn VIR calibrated (level 1b) data used in Fig. 2  are from the HAMO orbit (cycle 2) and are available at https://sbn. psi. edu/pds/resource/dawn/dwncvirL1. html.
Introduction: Patients with acromegaly have substantially reduced quality of life (QoL). This study evaluated QoL in patients with acromegaly treated with lanreotide autogel. Material and methods: This was a prospective, non-interventional, observational, multi-centre study conducted in Poland (NCT02396966). We included patients with acromegaly, who received treatment with lanreotide autogel 120 mg for ≥ 3 months and < 3 years. Patients were assessed approximately every 4-5 months for two years (six visits). QoL was measured with the Acromegaly Quality of Life Questionnaire (AcroQoL). Results: Of 152 patients enrolled from November 2014 to May 2018 in 37 centres, 24 were excluded due to major protocol deviations. The results are reported for the study population (n = 128). At baseline, the median [95% confidence interval (CI)] time from diagnosis was 3.
Statistical analysis No inferential statistical analyses were planned or performed. All data are presented descriptively overall and by subgroups. The enrolled population was defined as all participants who signed an informed consent form. The study population included participants without major protocol deviations. As the primary endpoint, the AcroQoL total score, AcroQoL dimensions, and subdimensions scores were calculated per visit in the study population. The total AcroQoL score was obtained by adding scores from 22 items with the following formula: [(X -22)/(110 -22)] × 100 with higher scores indicating better QoL  [6]. Secondary endpoints included the control of clinical symptoms, hormonal control, treatment satisfaction, and AcroQoL scores by subgroups. It was planned to enrol 150 patients because this sample size was deemed necessary to describe QoL in the following subgroups: controlled/ uncontrolled disease, with/without prior radiotherapy, with/ without prior surgery.
Participants We included adult patients (aged > 18 years) with acromegaly, who had received treatment with lanreotide autogel 120 mg for ≥ 3 months and < 3 years. Exclusion criteria were as follows: active participation in any interventional or any other non-interventional acromegaly clinical study or any medical or psychological condition that compromised the ability to give informed consent. Participants were withdrawn if lanreotide autogel 120 mg was stopped or interrupted (i. e. changed for another lanreotide dose or to another SSA). Because this was a non-interventional study, no other withdrawal criteria were specified. Participants were free to withdraw consent at any time. Data were collected up to the time of withdrawal. All patients signed informed consent before enrolment. The study was approved by local Ethics Committees at each study site.
Total AcroQoL scores (A), physical dimension (B), psychological dimension (C), psychological appearance subdimension (D), and psychological personal relations subdimension (E). Data are presented as means [95% confidence interval (CI)] • • • • • • • • Change from V1 to V6: 1. 21 (95%CI: -1. 39, 3. 82) patients or nodular goitre in over 83% of patients. Furthermore, there was no change in the presence of other comorbidities in more than 67% of patients. Regarding lanreotide administration and dosing, 84% of patients in the study population did not change injection frequency from baseline to the end of the study, 63% of patients received lanreotide autogel once every 28 days, 12% once every 42 days, and 9% once every 56 days. No shift in the mode of injection (i. e. self-injection or injection by healthcare professionals) was observed in the study population.
The main components and measuring devices of the experimental rig are also illustrated. The combustion chamber is divided into two compartments. It can be equipped with ten K-type thermocouples inserted into the chamber centre to monitor the variation in flame and maximum temperatures. Table  1  summarizes specific positions of the used thermocouples (TC1-TC6). The temperature profiles were recorded every second by a Graphtec data logger. In the experiments, the composition and temperatures of the combustion gases were measured in-situ at the combustion chamber outlet. Before analysing the flue gas, the apparatus was calibrated. All emission profiles were recorded in the steady state zone. The gas analyser used (Kimo KIGAZ 500) incorporates infrared and electrochemical measurement techniques.
Farmers were selected randomly. Interviewers used the questionnaire translated to Arabic, Turkish or French. For data evaluation, the responses to qualitative questions were standardized by a coding procedure. Responses to open questions were linguistically analysed and coded according to their concurrence of meanings. In Morocco, 110 questionnaires were conducted in the Kenitra region (north of Rabat, close to an urban region, farmers shift from cereals to vegetables), 100 in the Sefrou region (Middle Atlas, long tradition of early flowering fruit orchards), 100 in the Settat region (semi-arid, tradition of cereal monocultures) and 97 in Errachidia (traditional oasis with small, diverse fields and date palm), 407 in total. In Turkey, we did a total of 253: 44 in Isparta province (Mediterranean region with fruit orchards), 174 in Konya (Central Anatolia Region growing cereals, fruits and vegetables) and 35 in Ankara province (Central Anatolia Region; vegetables and stone fruits).
Acknowledgements We acknowledge funding by The  German Federal Ministry for Economic Collaboration and Development (BEAF  [ 81182268]; ITAACC [81197814 ]) and the  Federal Ministry for the Environment, Nature Protection and Nuclear Safety  within the  International Climate Initiative  ( IKI [17_IV_065 ]), the collaboration with the  NGO African Innovation Services (AFRIS)  and the support by  Dr. Axel Ssymank  concerning identification of syrphids.
Acknowledgements The authors thank  Salomé Parent  for her participation to the first tests using the nano-indenter from ALEMNIS. This work partially pertains to the  French Government program  " Investissements d' Avenir" (LABEX INTER-ACTIFS, Reference   ANR-11-LABX-0017-01 ). This work has been partially supported by « Nouvelle Aquitaine» Region  and by  European Structural and Investment Funds  (ERDF Reference: P- 2016-BAFE-94/95 ).
Objective: Psychomotor abnormalities are relevant symptoms in the clinical presentation of schizophrenia, and assessing them could facilitate monitoring. New technologies can measure psychomotor activity objectively and continuously, but evidence on the topic is scarce. Our aim is to systematically review the existing evidence about eHealth tools for assessing psychomotor activity in patients diagnosed with schizophrenia. Method: We performed a systematic search of the PubMed and Embase databases and identified 15 relevant articles on eHealth tools for assessing psychomotor activity in schizophrenia. Results: eHealth devices accurately assessed psychomotor activity and were well accepted. Abnormalities in psychomotor activity helped differentiate between different subtypes of schizophrenia.
Search strategy We conducted a systematic literature search in the PubMed and Embase databases whose final search date was January 21st, 2020. There were no restrictions regarding publication date, although only publications in English or Spanish were selected for review. For the search strategy, we used combinations of three groups of terms: one group to refer to eHealth, another for psychomotor variables, and a third focusing on schizophrenia diagnosis. The following search terms were used (in any field): ((ehealth OR mhealth OR technology OR actigraph OR phone OR app OR virtual reality OR video game OR videogame OR wearables OR computer) AND (psychomotor OR movement OR motor OR mobility OR physical activity) AND (schizophrenia OR psychosis OR psychotic OR schizophrenic)). The references of included studies were also screened.
Other eHealth tools Three of the reviewed studies used mobile apps, either alone or in combination with actigraphy. Barnett et al. followed 17 adults diagnosed with schizophrenia for 3 months, using passively collected smartphone data on mobility and social activity to predict relapses. They found that behavioral abnormalities were 71% higher at the moment of relapse than during periods of stability. 18 Kluge et al. used a combination of Ecological Momentary Assessment (EMA) and actigraphy to measure motor activity and explore its association with apathy. They found that objectively measured motor activity was a better correlate of apathy than daily activities subjectively assessed through EMA. They also found that alterations detected by actigraphy had different neurobiological correlates than those detected by EMA.
COURTS ON PAPER: WHAT ARE THE USES OF THE ALMANAC? The functional character of the almanac can be seen in the practicality of its format. Most almanacs were only around 17 x 10 cm, with a thickness increasing from 3 to 5 cm 56  as the administrative staff grew -and was thus easily transportable (fig. 5 ). Most included an index at the end of the volume to allow the reader to use it quickly and easily. In addition, the current collections of several State libraries Germany bear witness to the conservation practices of the almanacs in the Early Modern period. At that time, they constituted practical databases to be used by officials of the court 57. It is interesting to note that several copies of the Bavarian almanacs dating from the 1730s (i. e. , before the publication of a yearbook) and bearing the exlibris of the Royal Library of Munich, include handwritten lists of chamberlains at the end of the volume.