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A manuscript Device involving Cannabidiol within Quelling Hepatocellular Carcinoma by simply Inducting GSDME Primarily based Pyroptosis.
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Global parent depart in surgical professions: distinctions based on girl or boy, regional locations and surgery occupation phases.
This dataset describes the biodegradation of polychlorinated biphenyl (PCB) congeners by Paraburkholderia xenovorans LB400 in absence and presence of PCB-contaminated sediment slurry, over time [1]. In absence of sediment, PCBs were extracted from aqueous bioreactors by liquid-liquid extraction (LLE) with hexane. AZD7545 In presence of sediment, the extraction method used was a modification of U.S. EPA Method 3545 [3]. Sediment slurry samples were extracted from bioreactors using pressurized fluid extraction (Accelerated Solvent Extractor; Dionex ASE-200) with equal parts acetone and hexane. GC-MS/MS triple quadrapole technology in multiple reaction monitoring mode (MRM) was used for identification and quantification of 209 PCBs as 174 chromatographic peaks. Samples were processed in batches of five along with one method blank per batch. All materials used in sample extraction had either been triple rinsed with solvent (methanol, acetone, and hexane) or combusted overnight at 450 °C to prevent background PCB contamination. Results from the method blanks were used to determine the limit of quantification (LOQ) as the upper limit of the 95% confidence interval (average mass plus two times the standard deviation). PCB congener masses were corrected for surrogate recoveries less than 100%. The PCB concentration dataset was dichotomized at the threshold of the congener specific LOQ. Concentrations of congeners below the LOQ were treated as zero. During analysis, PCB concentration data was filtered to include only congeners belonging to the commercial PCB mixture, Aroclor 1248. LOQ corrected data can inform future experimental design and be reused by other researchers for further analysis and / or interpretive insights.This article provides experimental data describing the cell wall protein profiles of stems and leaves of Brachypodium distachyon at two different stages of development. The cell wall proteomics data have been obtained from (i) stem internodes at young and mature stages of development, and (ii) leaves at young and mature stages of development. The proteins have been extracted from purified cell walls using buffers containing calcium chloride (0.2 M) or lithium chloride (2 M). They have been identified by LC-MS/MS and bioinformatics. These data allow deepening our knowledge of these cell wall proteomes. They are a valuable resource for people interested in plant cell wall biology to understand the roles of cell wall proteins during the growth of vegetative organs.A data set was generated comprising currently available competitive and allosteric human protein kinase inhibitors confirmed by X-ray crystallography. This data set has been used to systematically explore structural relationships between these types of inhibitors with different mechanisms of action. A major finding of this study has been that these different inhibitor types frequently displayed structural relationships and essentially represented a structural continuum [1]. Use of the data set is not limited to the inhibitor-centric exploration of structural relationships. The collection of kinase inhibitors with structurally confirmed distinct mechanisms of action can also be used, for example, to aid in structure-based drug design or the search for new allosteric kinase inhibitors.The study examined the relationship between environmental attitude, environmental subjective norm, environmental perceived behavioural control, and school headteachers' environmental responsive behaviour. The population of the study consists of primary school headteachers in the northern region of Malaysia who are attached to the Ministry of Education (MoE), Malaysia. An online survey was used to collect the data of the study from 167 sampled respondents. While Theory of planned behaviour underpinned the study, the researcher employed explanatory, descriptive, and hypothesis testing quantitative strategies to explain the relationship. Smart PLS 3.0 and SPSS 21 were equally used to analyse the data. The result of the data analysis revealed that environmental attitude, environmental subjective norm, and environmental perceived behavioural control significantly influence school headteachers' environmental responsive behaviour.This data article describes the dataset of the International COVID-19 Impact on Parental Engagement Study (ICIPES). ICIPES is a collaborative effort of more than 20 institutions to investigate the ways in which, parents and caregivers built capacity engaged with children's learning during the period of social distancing arising from global COVID-19 pandemic. A series of data were collected using an online survey conducted in 23 countries and had a total sample of 4,658 parents/caregivers. link2 The description of the data contained in this article is divided into two main parts. The first part is a descriptive analysis of all the items included in the survey and was performed using tables and figures. The second part refers to the construction of scales. Three scales were constructed and included in the dataset 'parental acceptance and confidence in the use of technology', 'parental engagement in children's learning' and 'socioeconomic status'. The scales were created using Confirmatory Factor Analysis (CFA) and Multi-Group Confirmatory Analysis (MG-CFA) and were adopted to evaluate their cross-cultural comparability (i.e., measurement invariance) across countries and within sub-groups. This dataset will be relevant for researchers in different fields, particularly for those interested in international comparative education.The datasets presented here were partially used in "Formulation and MIP-heuristics for the lot sizing and scheduling problem with temporal cleanings" (Toscano, A., Ferreira, D., Morabito, R., Computers & Chemical Engineering) [1], in "A decomposition heuristic to solve the two-stage lot sizing and scheduling problem with temporal cleaning" (Toscano, A., Ferreira, D., Morabito, R., Flexible Services and Manufacturing Journal) [2], and in "A heuristic approach to optimize the production scheduling of fruit-based beverages" (Toscano et al., Gestão & Produção, 2020) [3]. In fruit-based production processes, there are two production stages preparation tanks and production lines. AZD7545 This production process has some process-specific characteristics, such as temporal cleanings and synchrony between the two production stages, which make optimized production planning and scheduling even more difficult. Thus, some papers in the literature have proposed different methods to solve this problem. To the best of our knowledge, there are no standard datasets used by researchers in the literature to verify the accuracy and performance of proposed methods or to be a benchmark for other researchers considering this problem. link3 The authors have been using small data sets that do not satisfactorily represent different scenarios of production. Since the demand in the beverage sector is seasonal, a wide range of scenarios enables us to evaluate the effectiveness of the proposed methods in the scientific literature in solving real scenarios of the problem. The datasets presented here include data based on real data collected from five beverage companies. We presented four datasets that are specifically constructed assuming a scenario of restricted capacity and balanced costs.The COVID-19 pandemic has forced Higher Education Institutions (HEI's) to rethink the teaching approach taken. In response to this emergency state, Moroccan universities switched to the e-learning approach as an alternative to face-to-face education. At this level the assessment of e-learning systems success becomes a necessity. This data article aims to identify e-learning systems success determinants during the COVID-19 pandemic. The data was collected from students of the Moroccan Higher Education Institutions. The research data are collected via an on a self-administered online questionnaire, from a sample of 264 university students. The responses are collected from students of 12 Moroccan universities and 31 Moroccan educational institutions. The data were analyzed using a structural equation modeling method under the Partial Least Squares approach (PLS-SEM). AZD7545 Data analysis was performed using SmartPLS 3 software. Universities managers can use the dataset to identify key factor to enhance e-learning system success.Electronic health record patient portals allow patients to access their own health data online and interact with the healthcare team. Many studies have focused on use of patient portals in the outpatient setting. link2 Relatively less is known about use of patient portals for hospitalized patients. The data in this article include analysis of patient portal activation and utilization for adults hospitalized in 2018 at an academic medical center in a Midwestern state in the United States. Activation was assessed by percentage of patients who had activated their patient portal by the time of data review. Utilization of the patient portal was determined by whether patients or their legal proxies accessed one or more reports from diagnostic testing ordered during inpatient encounter(s) in 2018. The data include 826,843 diagnostic tests on 40,640 unique patients. Patient characteristics include sex, age, whether outpatient diagnostic tests were also performed in 2018, preferred language (English or non-English), health insurance status (private, public, or uninsured), self-declared race (White or non-White), and whether there was a legal proxy for the patient. Association of these covariates with patient portal activation and utilization were analyzed.The data presented in this article examine the relationship between the subcomponents of emotional intelligence (emotional perception and expression, emotional facilitation of thinking, emotional understanding and emotional management) and the stages of change (pre-contemplation, contemplation, action and maintenance). The final data were obtained from 429 Malaysian inmates (374 male and 55 female) recruited from eight Malaysian prisons in four different zones. The two instruments used were the Self-Rated Malaysian Emotional Intelligence Scale (SRMEIS) and the University Rhodes Island Change Assessment Scale (URICA). link2 Both instruments underwent expert validation through construct and test-retest validity. The researcher randomly distributed a total of 550 questionnaires, of which 429 were accepted and 121 were rejected due to missing data and outliers, resulting in 78% of participants providing data that could be used in the analyses. All participants were informed of the confidentiality of their data, and their participation was voluntary. SPSS and Excel files are provided as supplementary material.This data article comprises data to investigate the non-linear dynamic behavior of the CEA-beam benchmark structure subjected to one stochastic broadband excitation. link3 link3 Experiments have been performed on the CEA-CESTA laboratory. The data provided include the input Power Spectral Density for four levels of excitation and the associated output nonlinear dynamic behavior of the CEA-beam benchmark structure. All the results from this data will help researchers and engineers in proper analysis of hardening effect and the enlargement of the response peak due to one stochastic broadband excitation, as well as the presence of harmonics. One of the main original contributions is to share the data sets to give the opportunity to researchers for testing and validating analytical or numerical models of a nonlinear beam with non-ideal boundary conditions and subjected to one stochastic broadband excitation. This Data in Brief article is an additional item directly alongside the following paper published in the Communications in Nonlinear Science and Numerical Simulation (CNSNS) journal T.
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