dataesr/scientific-paragraphs-categorization huggingface dataset:
While we found very few striking evidence of the relations between personal identity, the work location, and the original corporate culture, we hope to be able to attain better results in future analyses. For the sector of activity, we decided to interview managers working in highly globalized industries such as automotive, aeronautics, or the mass production of household equipment. We chose to avoid service activities or small-sized companies, which may have quite a different approach to management or requirements. The interviews were transcribed and analyzed according to the grounded theory  (Corbin and Strauss 2008; Glaser 1978; Glaser and Strauss 1967) , using a Nvivo software. As we mentioned above, we analyzed only the information relating to agility, creativity, and innovation for this paper.
Evaluation of Quantities Related to Textiles Used for the Consumer Market in France The consumer textile products studied below are textile clothes and household linen, (focusing primarily on data for 2019). Footwear is excluded from the scope of this study. Market data are delivered by Refashion (previously ecoTLC), a French eco-organization that produces annual marketing statistics on textiles. In 2019, it recorded 548,430 tons of textile items in the market, including 427,512 tons of clothes and 120,918 tons of household linen sold to individuals in France. Those items sold are counted by value, by piece and by mass. The analysis of the quantities marketed in France and processed worldwide is based on the total mass of items sold. One of the difficulties of the study is the estimation of the quantities of textiles transformed in each country from the first stages of textile production until they reach the consumer market in France  [21].
In this context, two data sources are necessary beyond the data produced by Refashion. One part of the data concerns the French trades (importation and exportation) of the textile products; those originate from the customs administration. Additionally, another part of the data is those related to French production which is accessible in the European Prodcom database  [22]. This information is compiled annually by two French organizations: the IFM (Institut Français de la Mode) and the UIT (Union des Industries Textiles)  [21, 22]. The data produced by these organizations is commonly presented in value or quantity, and includes all imports and exports supplying (or supplied by) the French market. Figure  5  presents the quantities and aggregates the countries according to the main market shared used by French manufacturers.
Products placed on the market (French importation and production) are recorded after subtracting the number of products out of private sale, the ones intended for the professional market and image items. All remaining items are considered necessary to supply the French consumer market. Some of the items remain not sold, either because they are defective or because no one buys them in the stores  [21, 23]. Figure  6  presents the fate of textile products meant to be sold in France [Detailed data are available as Supplementary Materials Table  S1a-d]. Table  1. Distribution of articles by their intended fate in the French market. The quantities are expressed in tons, the breakdowns in percent (sources of sales data in France: Refashion; import/export, IFM ((Institut Français de la Mode) and UIT (Union des Industries Textiles); breakdown of the fate of articles: IFM and manufacturers)  [21, 23].
WTO export data are expressed in dollars. French import and export data are expressed in mass for calculating the CF. Conversion from values to quantities is achieved assuming a certain quantity transformed per dollar of exportation. This conversion factor depends on the textile productivity cost in the country concerned. Relative productivity values (i. e. , the amount of textile transformed per dollar spent) are calculated for the major textile exporting countries in the world. Productivity data presented in Figure  8  are extrapolated from two studies of the textile sector. In this case, one part is related to a comparative study of production costs for the textile sector produced by the UIT  [23]  and the other part is based on labor costs by country  [27, 28]. Productivity values allow the conversions of the exported value of textile, clothes and household linen (Figure  9 , left part) to exported quantities (Figure  9 , right part).
Acknowledgments: We thank the APV association for funding this project,  UNITEX  for project support and  The French Fashion Institute (IFM) ,  Refashion ,  UIT  and  La Fédération  for their valuable input during the project. In addition, contributions from companies  1083 ,  Balas-Textile ,  C2S ,  Chamatex ,  Denis & Fils ,  Dutelsa, EMC-Mouzon, Garnier-Thiebaut, Groupe Cheynet, Logoclub, Les, Moulinages Riotord, Les Tissages de Charlieu, Pagastic, Patine, Payen, Porcher Industries, Proverbio, Rocle ,  Verne & Clet  were decisive in carrying out this work. Thanks to  Lin Zhao  for modeling the LCA of the 17 textile articles. Thanks to  Nadine Riachy  for reviewing discussing and improving the article.
The randomized controlled trial was run in Baoshan Districta suburban district of Shanghai which covers an area of 424. 58 km 2 with a population of about 2 million at the beginning of 2018 according to the data from Shanghai Statistics Bureau. 11  In 2018, the district had 21,093 taxpaying households for whom the due date was December 31, 2018. According to the administrative records, out of these taxpayers, 1,742 taxpayers did not meet their 2018 tax obligations as of September 17, 2019. 12  The average tax obligation was around 4,412 RMB (618 USD). All these households were included in the study sample.
Comparison with the literature In this sub-section, we assess how the treatment effects of the current intervention compare to those estimated in the available literature. The underlying metadata comes from Antinyan and   Asatryan (2020) and covers 133 treatment effect estimates retrieved from 8 papers that study the impact of notifications (or nudges) on property tax payment. 21  The list of papers and the number of estimates is detailed in Table  4  below. Note: The list of papers that studies the impact of notifications on property tax compliance. The treatment in these papers is a notification sent to taxpayers on behalf of tax authorities through different channels (e. g. , letter, tax bill, text message) and the dependent variable is the extensive margin compliance to property taxes.
Acknowledgments We thank Tax Administration for allowing us to run the experiment and granting access to the administrative data. We also thank  Marie Claire Villeval ,  Alexis Belianin ,  Albrecht Bohne  and the audiences at  EBE (New York ),  SABE (Moscow ),  HSE (Moscow ),  ZEW (Mannheim) , and  TARC (Exeter)  webinars for helpful suggestions. Chenyixin provided excellent research assistance. The ethical committee of the  Renmin University of China  approved the experimental protocol of the study ( RUCecon-201909-1 ).
Literature search The most important scientific databases of references and abstracts on life sciences (PubMed, and ISI Web of Science Core Collection) were systematically searched (from database inception up to 11 April 2021). In this updated review, we used wider selection of search criteria than that used in a previous systematic review conducted by  Sluik et al. (2016a). Used search strings were: #1 "beverage" AND ("diet*" OR "food*" OR "lifestyle" ) AND ("wine" OR "beer" OR "spirits" OR "liquor") #2 "alcoholic beverages" AND ("preference" OR "choice") AND ("diet*" OR "nutr*"OR "food*" OR "lifestyle") # 3 "alcohol" AND ("preference" OR "beverage" OR "choice") AND ("diet*" OR "nutr*" OR "food*" OR "lifestyle") #4 ("wine" OR "beer" OR "spirits" OR "liquor") AND ("preference" OR "choice") AND ("diet*" OR "nutr*" OR "food*".
Acknowledgements: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Most authors are government delegates and/or experts to the  International Organization of Vine and Wine's (OIV) Commission IV Safety and Health. Although this work was initiated under the auspices of the  OIV  and its Consumption, Nutrition and Health expert group, the statements herein are the sole responsibility of the undersigned authors. The authors would like to acknowledge  Ionas Papasotiriou  for his support in the initial step of data curation.
Following a wellestablished approach used for studies of different types (e. g. Bouncken, Gast, Kraus, & Bogers, 2015; Vallaster, Kraus, Lindahl, & Nielsen, 2019) , a SLR focused above a certain quality level of publications in peer-reviewed academic journals with specific criteria chosen to be conducted hereafter. A stepwise research approach has been undertaken to ascertain a broad perspective for an in-depth understanding of the context  (Cook & West, 2012)  and linkages between DT and HC. The first step was the literature search through the EBSCO host databases 'Business Source Ultimate' and 'Business Source Complete' (see e. g. , Mas-Tur,  Kraus, Brandtner, Ewert, & Kürsten, 2020). Since digitalization in HC, understood as the use of information technology for processing and managing data, information, and processes, started to become popular in the early 2000s  (Agarwal et al.
Furthermore, to strengthen the inclusiveness of the sample of articles in this field, the databases Elsevier ScienceDirect and SpringerLink were also scanned according to the same keywords as mentioned above. The above search resulted in a total of 340 articles. Articles that did not fall under the conceptual criteria set earlier were then systematically excluded. In order to provide a quality threshold, we adopted the official German journal ranking "VHB-JOURQUAL 3" and considered only those articles that were released in journals ranked at a "C" level or higher ratings remained in the sample  (Bouncken et al. , 2015). We did not apply other quality criteria (e. g. , impact factor) or journal rankings (e. g. ABS). After this check, 198 articles were excluded due to low or non-ranking statuses of the journals they were published in.
g. Ireland, Germany, Italy (n = 2 for all), indicating emerging trends and actions by the EU. A total of 18 journals are represented, 2 and the journal with the highest number of accepted articles is 'Health Care Management Science' (n = 5 in 2004-2019). Such findings suggest that research into DT of HC remains rooted in the HC industry area and that the topic remains emergent. In order to get an understanding of the fields of research the crossfunctional topic is rooted in, the general publication subjects represented by the academic journals were also analyzed: For this purpose, the journal publication details from the respective online databases   where the articles were retrieved from were also included. Being a topic of high currency and rapid technology adoption, DT of HC is a subject of Business, Management and Marketing research, with 15 articles classified as Business and/or Management, three among them from journals solely publishing about Marketing topics.
Acknowledgments This work has been conducted as part of a PhD thesis project supported by the  Agricultural Transformation by Innovation (AGTRAIN) Erasmus Mundus Joint Doctorate Programme , funded by the  EACEA (Education, Audiovisual and Culture Executive Agency)  of the  European Commission. We acknowledge the financial support of the  University of Catania  ( WP1 -'Economic assessments of the sustainability of agri-food systems ' project), for the English Language Editing.
Financial data should be used in the financial field, and medical data should be used in the medical; however, the typology of the data does not necessarily correspond to the classification of the domains in which the data are used. The sharing of medical information for advertising purposes has become a social problem, partly because consent was not obtained  [11]. The rapid development of data analysis technology has enabled various uses of data, including some cases in which data usage cannot be socially accepted. It is difficult for digital platform operators to estimate the reputational risk of releasing new data utilization services. Therefore, an investigation of the relationship between the type of data utilization and social acceptability is necessary. Acceptance varies depending on the entity that utilizes the data.
Outcome favorability is assessed against the risk of data leakage and invasion of privacy. People's perceptions of risk and their relationship with their political beliefs also differ among nations. A study showed the links between perceived threats and political beliefs  [2]. This study is an analysis of the World Values Survey, a cross-national survey of social scientists. The results show that economic threats tend to be associated with leftist economic beliefs, violence-related threats tend to be associated with conservative beliefs, and there are few characteristics that can explain the differences among nations. The rapid development of data analysis technology can give rise to various new and unconventional patterns of data utilization in accord with a variety of national circumstances.
This raises many questions about whether AI and available data should be used to build resilient project schedules through both proactive and reactive strategies. In this preliminary work, we follow an exploratory approach to understand how AI techniques can be leveraged to bring resilience to project schedules. First, we conducted a literature review in order to identify the existent knowledge related to our research question. Based on a critical analysis of the literature, we conducted three brainstorming sessions over which we develop a conceptual framework that indicates how AI can be used in this field. The paper is decomposed into seven sections. Sections 2 and 3 give a brief overview of existing literature on uncertainty and resilience in project management, and especially project scheduling.
AI in Project Management and Scheduling Very recently, some surveys have been conducted in order to investigate the use of AI in project management  [35, 36, 37, 38]. The initial applications were mainly concerned with project information, project tasks, critical path method, and program evaluation and review technique where noticeably most of them are related to project scheduling  [39]. For instance, in  [39]  the authors stated that AI could be used to analyze large datasets to find patterns, trends, and problems that need attention, based on knowledge from previous projects. AI techniques could also be leveraged to monitor how the project is going and make changes to future activities if needed. As such, AI can be particularly useful in project scheduling, costing and risk management and can be deployed in both project planning and control, which is in harmony with the findings of the recent surveys presented in  [37, 38].
Discussion and Conclusions Markedly, the application of AI to project scheduling relies on the availability of large historical datasets and project information. AI-enabled predictive and prescriptive analytics can be jointly used in this case to generate more accurate predictions and support decisions related to scheduling. We built upon the gap identified in literature related to the scarcity of works studying resilience in project schedules. We define a conceptual framework to emphasize the value AI techniques can contribute to build better resilient project schedules. This represents a first step in a large exploratory approach we aim to create in the field. This preliminary work will lay the ground for a more ambitious research that aims at the development and the adoption of intelligent project scheduling tools combining AI and optimization techniques.
The manageable toxicity profile of obinutuzumab (GA101; G) alone or with chemotherapy in first-line (1L; fit and non-fit) and relapsed/refractory (R/R) patients with chronic lymphocytic leukaemia (CLL) was established in the primary analysis of the Phase IIIb GREEN trial (Clinicaltrials. gov: NCT01905943). The final analysis (cut-off, 31 January 2019) is reported here. Patients received G (1000 mg) alone (G-mono; fit and non-fit patients) or with chemotherapy [fludarabine and cyclophosphamide (FC; fit patients); chlorambucil (non-fit patients); bendamustine (any patient)]. Study endpoints were safety (primary) and efficacy (secondary). Subgroup analyses were performed on prognostic biomarkers in 1L CLL. Overall, 630 patients received 1L and 341 received R/R CLL treatment. At the final analysis, no new safety signals were observed [Grade ≥ 3 adverse events (AEs): 1L 82Á7%, R/R 84Á5%; serious AEs: 1L 58Á1%, R/R 62Á5%].
The GREEN trial (NCT01905943) is a safety study of G, alone or in combination with chemotherapy, in a broad population of CLL patients. 25, 26 It was mandated by regulatory authorities following the approval of G in CLL; the primary safety analysis has been published previously. 27 Here, we report the final safety and efficacy analysis from the overall GREEN population, with 18 months additional follow-up. The potential value of prognostic biomarkers (IGHV, cytogenetic abnormalities and CD38 expression) in 1L and R/R patients was also evaluated.
Statistics The GREEN study was non-comparative with no formal statistical testing and no power calculation. The final analysis was performed at the end of the study, which was 30 months after enrolment of the last patient, or sooner, if one of the following was documented for all treated patients: withdrawal from the study, loss to follow-up, death or study termination (data cut-off 31 January 2019). Safety analyses were based on the safety population (patients who received ≥1 dose of study treatment). Efficacy analyses were performed in the intent-to-treat (ITT) population (all enrolled patients, regardless of whether they received treatment). Time-to-event variables (PFS, OS and TTNT) were presented graphically using KaplanÀMeier plots, and by prognostic markers. Patient-reported outcome endpoints were summarised at baseline and over time.
Acknowledgements The authors wish to thank the GREEN study investigators, coordinators, nurses, patients and their families. The authors also thank  Sara Prada of Clinipace, USA  for provision of statistical analysis. The GREEN study is sponsored by  F. Hoffmann-La Roche Ltd. Third-party medical writing assistance under the direction of  Stephan Stilgenbauer  was provided by  Louise Profit and Lynda McEvoy of Ashfield MedComms , an  Ashfield Health company , and was funded by  F. Hoffmann-La Roche Ltd.
Western blot analysis Protein lysates were prepared with cell lysis buffer 10× (Cell Signaling Technology) and protein concentrations were determined by BCA TM protein assay (Pierce). Equal amounts of proteins were resolved on 12% polyacrylamide gel and transferred to a nitrocellulose or PVDF membrane (TurboBlot; Biorad). After membrane saturation, the blots were incubated with the respective antibody followed by an anti-rabbit or anti-mouse peroxidase-conjugated secondary IgG antibody (Table  S1 ) and revealed with an enhanced chemiluminescence detection method (Western Lightning Chemiluminescence Reagent Plus; Perkin Elmer). Quantification of protein expression was performed by densitometry using Image Lab software (Biorad). Phosphorylation of protein expression was normalized using total protein expression by calculating the ratio of the phosphorylated protein level to their total protein level counterparts.
Flow cytometric analysis Cell apoptosis was assessed using an APC-conjugated Annexin V labeling detection kit coupled to flow cytometry and BD FACSDIVA TM software (BD Bioscience). For normal hematopoiesis analyses, BM cells were obtained by crushing tibias, femurs and hip with a pestle and mortar. Filtered single cell suspensions were incubated in Fc block and then stained with antibodies. For NSG analyses, following incubation with Fc block, unfractionated BM cell suspensions were stained with lineage markers containing biotin-conjugated anti-CD4, anti-CD5, anti-CD8a, anti-CD11b, anti-B220, anti-Gr-1 and anti-Ter119 antibodies together with APC-conjugated anti-c-Kit. When applicable, to distinguish hCD45 AML xenotransplant cells from mCD45 recipient mice cells, FITC-conjugated anti-hCD45 and APC-Cy7-conjugated anti-mCD45 antibodies were included in the antibody cocktail described above.
For MV4-11 hematopoietic engraftment, NSG mice were conditioned with intraperitoneal injections of busulfan (Pierre Fabre) at 20 mg/kg/day for 2 days, and then injected intravenously with 10 6 MV4-11 luciferase-transduced cells (10 6 cells/100 μL) at day 0. At day 7, engraftment was analyzed by whole bioluminescent imaging (BLI) before treating mice with vehicle or quizartinib (5 mg/kg/day body weight) or gilteritinib (30 mg/kg/day body weight) by daily oral gavage for 7 days. At day 14 and day 20, mice were injected intraperitoneally with firefly luciferase substrate D-luciferin (150 mg/kg) before imaging using a photon bioimager and M3Vision software (Biospace Lab).
Statistical analyses All analyses were performed using GraphPad Prism software. Unless otherwise indicated, data are presented as the mean ± standard error of the mean. Statistical significance was calculated using the Student's t-test unless otherwise stated. Differences with p values < 0. 05 were considered statistically significant with *, p < 0. 05; **, p < 0. 01; ***, p < 0. 001; NS, nonsignificant.
In that setting, ability of Gilteritinib to inhibit AXL could be a leverage to eradicate FLT3-mutated AML clones but could also help to target FLT3 wild-type AML clones shielded by their microenvironment since AXL resistance to chemotherapy is encountered beyond FLT3-ITD AML cells. These data strongly support current clinical trials associating chemotherapy and Gilteritinib. A. Patient-derived xenografts (PDX) were generated by retro-orbital injections of 10 6 viable primary AML cells in NSG mice previously conditioned. When levels reached at least 10% human AML cells (CD33 + CD45 + ), the mice were sacrificed and bone marrow cells were collected, pooled, and cryopreserved. Two batches of AML PDX cells were generated. The engraftment in each mouse was assessed every 10 days by intrafemoral puncture analyzed by flow cytometry to measure hCD45 chimerism.
Acknowledgements We thank  Mrs. Bernadette De Buhan  and her family for their generous support. This work was supported by grants from  Ligue contre le cancer (Comité des Pyrénées-Atlantiques). We thank the  Cytometry Facility, Vectorology Facility, Cell'Oxia and Animals Facility A2 of the FRTransBioMed, Bordeaux University. P. -Y. D. was a recipient of the  SIRIC Brio  for research fellowship for one year, then the  MD-PhD program  from the  University Hospital of Bordeaux  for two years. We also acknowledge the  Centre de Ressources Biologiques Cancer, Bordeaux Biothèques Santé  ( BB-0033-00036 ) at  Bordeaux University Hospital  for providing biological material.
Transcriptomic analysis On day 50, 1000 CD45. 1 or LNGFR 1 CD4 1 T cells were sorted twice from lymph nodes (using a flow cytometer [SH800; Sony Biotechnology]) directly into 5 mL of lysis buffer. Smart-seq2 libraries for ultra-low-input RNA sequencing (RNA-seq) were prepared as described previously. 17, 18 Samples were sequenced on an Illumina NextSeq500 system, using the 2-3 25-bp read option. Transcripts were quantified using the Broad Technology Labs computational pipeline. 19 Normalized reads were further filtered and analyzed using Multiplot Studio in GenePattern software (https://www. genepattern. org/modules/docs/Multiplot/2) and R Studio (version 1. 2. 5019, RStudio Team 2020; PBC, Boston, MA; http://www. rstudio. com/). To reduce noise, only genes with a coefficient of variation between biological replicates ,0.