Mendeley Data Showcase

This dataset and code enable the estimation of the outputs reported in the RUM-DFT model. It includes 20 simulated choice datasets representing the information search process and the RUM-DFT-ISP.R script to replicate the RUM-DFT-ISP values reported in the paper. Additionally, the dataset provides the complete Swiss Metro data and the corresponding code to replicate the outputs of the empirical case study. If you use this dataset or code in your research, we kindly request that you cite the corresponding paper. Nova, G., Guevara, C. A., Hess, S., & Hancock, T. O. (2025). A random utility maximisation model considering the information search process. Transportation Research Part B: Methodological, 199, 103264. For any questions or additional information, please contact us at g.n.nova@tudelft.nl

Raw data files for the manuscript "Characterization of serotonin-5-HTR1E signaling pathways and its role in cell survival" published in The FASEB Journal, DOI: 10.1096/fj.202300128R. 5-Hydroxytryptamine receptor 1E (5-HTR1E) is reported to activate cyclic AMP (cAMP) and extracellular-signal related kinases (ERK) pathways via its ligands and binding partners, but the detailed mechanism underlying the serotonin-induced 5-HTR1E signaling is still not known. In the present study, we determined the cellular regulators of ERK and cAMP signaling pathways in response to serotonin-induced 5-HTR1E activation in 5-HTR1E overexpressing HEK293 cells. We found that Pertussis Toxin (PTX) treatment completely reversed the effect of serotonin-5-HTR1E mediated signaling on cAMP and ERK pathways, confirming the involvement of a Gái-linked cascade. We also observed that GBg and Gq were not associated with 5-HTR1E activation, while blocking protein kinase A (PKA) inhibited ERK signaling only, and had no effect on cAMP. Additionally, serotonin-stimulated ERK1/2 phosphorylation was similar in 5-HTR1E overexpressing, B-arrestin-deficient HEK293 cells and is solely dependent on G protein signaling. siRNA mediated gene knockdown studies in SH-SY5Y cells revealed that the inhibition of 5-HTR1E reduced the expression of cMyc, Cyclin D1, Cyclin E and BCL2 genes which are related to cell cycle regulation and survival. MTT assays showed that 5-HTR1E knockdown in SHSY-5Y and U118 cells inhibited cell survival significantly. In addition to the signaling mechanism, we also performed RNA-seq analysis in 5-HTR1E overexpressing HEK293 cells and found that 5-HTR1E can regulate the expression of Receptor activity modifying protein 1 (RAMP1), Nuclear receptor 1 (NR4A1) and other Cyclin genes. These findings indicate that serotonin interaction with 5-HTR1E receptor simultaneously activates cAMP and ERK pathway in HEK293 cells and its expression is important for cell survival.

This study utilized a 9-day diary design with 168 Chinese high school students. Variables include daily measures of attributional stability, learning crafting, competence need satisfaction, and baseline achievement goals.

Below is a brief description of each supplementary dataset. For more details, please see the Materials and Methods section of the manuscript here: https://doi.org/10.1101/2023.06.05.543769. Dataset S1: LC-MS/MS based protein quantification of the “Control IP”, 5 distinct “single RBP IPs” and “Pooled IP targeting 10 RBPs” (see STAR Methods for details), related to Figure S2. Dataset S2: LC-MS/MS based protein quantification of the “HEK293T total lysate” and the supernatants after the “Control IP”, 5 distinct “single RBP IPs” and “Pooled IP targeting 10 RBPs” (see STAR Methods for details), related to Figure S2. Dataset S3: LC-MS/MS based protein quantification of the “Control IP” and “Pooled IP targeting 39 RBPs” (see STAR Methods for details), related to Figure S1. Dataset S4: LC-MS/MS based protein quantification of the HEK293T total lysates generated either from “Control (Solvent)”- or “Torin1”-treated cells (see STAR Methods for details), related to Figure 7 and Table S6. Dataset S5: LC-MS/MS based protein quantification of the 4EBP1 IP from HEK293T lysates generated either from “Control (Solvent)”- or “Torin1”-treated cells (see STAR Methods for details), related to Figure S7. Dataset S6: LC-MS/MS based protein quantification of the IgG IP and V5 IP from HEK293T lysates (see STAR Methods for details), related to Figure S2.

This dataset contains three speed profiles and three power profiles. speed_profile_R1_4kW.csv and speed_profile_R2_4kW.csv are speed profiles of a conventional boat, and their corresponding power profiles (power_profile_R1_4kW.csv and power_profile_R2_4kW.csv) are estimated for a 4 kW Torqeedo electric boat using a database model. Similarly, power_profile_R3_1kW.csv is a power profile estimated for a 1.1 kW Torqeedo electric boat based on its datasheet.

The aim of the study was to examine technology acceptance in the telemedicine-supported rehabilitation of patients with metabolic syndrome. We conducted a questionnaire survey among patients participating in a 3-month complex rehabilitation program during the preparatory week (T1) and at the final medical examination (T2). The data were processed using PLS-SEM modeling and cluster analysis, which allowed us to establish a model of behavioral intention related to technology use and to cluster patients according to their attitudes. The files contain raw data for cluster analysis and PLS-SEM modelling.

oogle Trends (GT) serves as a resource for tracking changes in search interest over time by employing a measure known as Relative Search Volume (RSV). RSV indicates the popularity of a search term in all Google searches within a specified region or time frame. The data is standardised according to region and time, then scaled from 0 to 100, with 100 representing peak interest for that term. Users may tailor the analysis by search term, location, period, category, and search type. The results are anonymous and open-source, enabling objective comparisons of public interest across different times and locations

This data is used in the study "Spatial Patterns of Access to Public EV Charging in Maricopa County, Arizona". It includes the comprehensive Maricopa county .csv datafile, the City of Phoenix .csv datafile, the R script used for regression analysis, and the ArcGIS file used for the development of the spatial components of this research. The data also consists of a step by step GIS steps guide used to develop spatial variables (not all variables are used in the final version of the manuscript). The contributors are not associated with or responsible for any future recreations, modifications, or derivative versions of this dataset. Note: The PCD measure was created by taking into account factors specific to Maricopa County and the State of Arizona. Buffer sizes will vary for other regions or could be developed using sensitivity analysis.

This repository contains supplementary materials related to the study "𝐒𝐮𝐫𝐯𝐞𝐲 𝐨𝐧 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐁𝐫𝐚𝐳𝐢𝐥𝐢𝐚𝐧 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐢𝐞𝐬: 𝐏𝐫𝐨𝐟𝐢𝐥𝐢𝐧𝐠 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐦𝐮𝐥𝐭𝐢𝐯𝐚𝐫𝐢𝐚𝐭𝐞 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐚 '𝐍𝐞𝐰 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬' 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡". The dataset, figures, exported results, and analysis scripts are included to ensure full transparency and reproducibility of the research findings.

O presente material refere-se a um Subconjunto Terminológico da CIPE® voltado ao cuidado de pessoas com síndrome metabólica, estruturado e validado como parte da tese de doutorado intitulada: “Subconjunto Terminológico da CIPE® para pessoas com síndrome metabólica: base conceitual para a Teoria de Médio Alcance do Cuidado no Contexto de Risco Cardiovascular” (Universidade Federal da Paraíba, 2019) do autor Nuno Damácio de Carvalho Félix. O objetivo do material é subsidiar a prática clínica de enfermagem na Atenção Primária à Saúde, promovendo a padronização terminológica por meio de enunciados diagnósticos/resultados e intervenções de enfermagem. A metodologia da pesquisa baseou-se em um estudo de métodos múltiplos, dividido nas seguintes etapas: análise conceitual dos termos “risco cardiovascular” e “síndrome metabólica”; estruturação do subconjunto terminológico conforme os preceitos da CIPE® versão 2017; validação de conteúdo com especialistas em enfermagem, resultando na aceitação de 55 diagnósticos/resultados e 169 intervenções; e aplicação clínica com 22 adultos diagnosticados com síndrome metabólica, acompanhados na Atenção Primária à Saúde, realizada entre os anos de 2018 e 2019, após aprovação ética (CAAE 97979918.3.0000.5188 / Parecer nº 2.994.892).