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2,227 results for “markets”
Modelling input data for the case study of the paper "Uncertainty-Based Market-Clearing Models: A Comparative Analysis of the Dutch, French, and German Markets".
<p>This data package includes the modelling input data to replicate the results of the case study included in the paper "Uncertainty-Based Market-Clearing Models: A Comparative<br>Analysis of the Dutch, French, and German Markets". </p> <p>The case study models the Dutch, French and German day-ahead electricity markets, in which the existing capacities of electricity generation and upward- and downward reserve capacities are considered, in addition to 105 wind output realization scenarios for each simulation day. A detailed description of the case study is provided in the readme file.</p> <p>This supplementary data package includes the following files:</p> <p>- Meta Data – Netherlands.xlsx: Dataset containing the meta data for the Dutch case study</p> <p>- Meta Data – France.xlsx: Dataset containing the meta data for the French case study</p> <p>- Meta Data – Germany.xlsx: Dataset containing the meta data for the German case study</p> <p>- Readme.txt: Includes a detailed description of the data packages</p>
¿Libre de la maleza estatista? Assessing neoliberal promises and water markets in Chile
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APROXIMACIÓN A LAS CONTRIBUCIONES TEMÁTICAS SOBRE MARKETING DIGITAL
<p><span>La investigación tuvo como objetivo realizar una aproximación a las contribuciones temáticas sobre Marketing Digital (MD). Se trata de un estudio descriptivo con diseño documental, basado en la revisión bibliográfica realizado bajo los supuestos de la metodología cualitativa. Se utilizó la técnica de análisis de contenido teniendo como unidades de información 86 artículos científicos publicados en el período 2018-2020, registrados en la base de datos REDALYC. Las contribuciones temáticas resultantes enfatizan aspectos tales como: los factores que definen el comportamiento del cliente; la forma óptima de utilizar las tecnologías de información y comunicación, como vía para lograr la innovación en el marketing y en el contexto organizacional, de forma general; el impacto del MD en el cumplimiento de los requerimientos específicos de poblaciones ubicadas en sectores públicos y privados; así como, la gestión estratégica de recursos y capacidades en el área analizada. Como conclusión se destaca que el estudio de las contribuciones temáticas responde a la necesidad de conocer y comprender el alcance del MD en las organizaciones y sus implicaciones en el desempeño, así como su impacto en determinados tipos de organización.</span></p>
Global evolution of educational marketing in the digital age: A bibliometric analysis of its impact on student satisfaction
<p><span>Educational marketing has emerged as a crucial strategy to improve student satisfaction in an increasingly competitive and globalized academic environment. This bibliometric research aimed to analyze the evolution and trends in the scientific literature on educational marketing as a strategy for student satisfaction. A qualitative and descriptive approach with a non-experimental and longitudinal design was used. The study analyzed 201 documents extracted from Scopus, using bibliometric techniques implemented through VOSviewer and Bibliometrix. The results reveal an annual growth of 10.51% in scientific production, with significant contributions from the United States, United Kingdom, Australia and India, as well as a growing participation of Latin American countries. A core of specialized journals leading publication in this field was identified. Keyword co-occurrence analysis highlighted central themes such as higher education, e-learning and student satisfaction. The research shows an expanding interdisciplinary field, with approaches that address internationalization, the use of digital technologies and the personalization of educational services. It is concluded that educational marketing is an effective strategic tool to improve student satisfaction, retention and academic performance, highlighting the need to adapt these strategies to the rapid technological and social changes in the educational sector.</span></p>
Data and Code for "Genetic tracing of market wildlife and viruses at the epicenter of the COVID-19 pandemic"
<p>Please see the README.md file for a detailed description of each of the code and data files in this dataset.</p>
AI and Political Marketing: How Indonesian React to The Presidential Candidate AI-Generated Advertisement
<p><span>The integration of Artificial Intelligence (AI) into political campaigns, particularly through social media, has revolutionized voter behavior influencing mechanisms. This research explores the impact of AI-generated content on public decision-making in the context of the 2024 Indonesian presidential elections, focusing on the Prabowo-Gibran pair. Drawing upon selective exposure theory, the study investigates how perceived source slant, perceived source bias, and perceived effects of opponents' news diet influence political participation likelihood. Through a quantitative survey of 150 Indonesian citizens active on social media, the study reveals significant positive correlations between perceived source slant, bias, and political participation likelihood. The findings underscore the pivotal role of AI-generated content in shaping political engagement and suggest implications for enhancing voter mobilization strategies in the digital age. </span></p>
Impact of Generation Z on Pharmaceutical Marketing, Sales, and Compliance - Full Panel Discussion
<p>This video captures the full panel discussion on the impact of Generation Z on pharmaceutical marketing, sales, and compliance. The panel features insights from industry experts, marketing strategists, compliance officers, and Gen Z doctors, discussing the challenges and opportunities in engaging with this demographic. Key themes include digital engagement, value-driven marketing, ethical considerations, and the adoption of emerging technologies.</p>
DNA metabarcoding authentication of Ayurvedic herbal products on the European market raises concerns of quality and fidelity
<p>Ayurveda is one of the oldest systems of medicine in the world, but the growing commercial interest in Ayurveda based products has increased the incentive for adulteration and substitution within this herbal market. Fraudulent practices such as the use of undeclared fillers and use of other species of inferior quality is driven both by the increased as well as insufficient supply capacity of especially wild plant species. Developing novel strategies to exhaustively assess and monitor both the quality of raw materials and final marketed herbal products is a challenge in herbal pharmacovigilance. Seventy-nine Ayurvedic herbal products sold as tablets, capsules, powders and extracts were randomly purchased via e-commerce and pharmacies across Europe, and DNA metabarcoding was used to assess the ability of this method to authenticate these products. Our analysis reveals that only two out of 12 single ingredient products contained only one species as labelled, eight out of 27 multiple ingredient products contained none of the species listed on the label, and the remaining 19 products contained 1 to 5 of the species listed on the label along with many other species not specified on the label. The fidelity for single ingredient products was 67 %, the overall ingredient fidelity for multi ingredient products was 21 %, and for all products 24 %. The low level of fidelity raises concerns about the reliability of the products, and detection of threatened species raises further concerns about illegal plant trade. The study highlights the necessity for quality control of the marketed herbal products and shows that DNA metabarcoding is an effective analytical approach to authenticate complex multi ingredient herbal products. However, effort needs to be done to standardize the protocols for DNA metabarcoding before this approach can be implemented as routine analytical approaches for plant identification, and approved for use in regulated procedures.</p>
IEEE-30 energy system data of multi-period market with intertemporal constraints
<p>This is the dataset that is used for the original article: "Locational marginal pricing in multi-period AC OPF environment"</p> <p>The dataset consists of the following files</p> <ul> <li>Case1.zip</li> <li>Case2.zip</li> <li>Case3.zip</li> <li>case_modifications.py</li> <li>data_spec.py</li> <li>OPF_formulation.pdf</li> </ul> <p>Multiperiod AC OPF is given in OPF_formulation.pdf. Modifications of traditional IEEE 30-node case are given in case_modifications.py</p> <p>The case files incorporate input and output multiperiod AC OPF and LMP decomposition data in csv and pickle formats. Data structure of case files is given in data_spec.py.</p> <p>For python users pickle files are given. Nevertheless, python environment is not required. Specification can be read as a text file. All necessary data are repeated in csv format.</p> <p>Step 1 are to define LMPs of limited energy resources or storage resources that are formed by actual marginal resources from all time periods (first LMP definition in fig. 6 in the paper).</p> <p>Step 2 are to define all other LMPs at price-taking nodes (second LMP definition in fig. 6 in the paper).</p> <p>The following interrelation between Lagrange multipliers, LMP components, and price-bonding factors holds true:</p> <pre>assert np.max(np.abs(output_ramp.sensitivities.dot(output_ramp.offer_gen_data.price).tolist() - output_ramp.ramping_gen_data.price)) < 1e-2 if output_pt_step1.components.shape[0]: step1_pf_filter = (~output_pf.is_limited_energy) & (~output_pf.is_storage) assert np.max(np.abs(output_pt_step1.components.node_price - (output_pt_step1.components.f + output_pt_step1.components.tc_sum + output_pt_step1.components.vc_sum))) < 1e-2 assert (output_pt_step1.components.f - output_pt_step1.w_f.dot(output_pf.node_price[step1_pf_filter])).abs().max() < 1e-2 assert (output_pt_step1.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price[step1_pf_filter]) for w in output_pt_step1.w_tc_list), axis=1 ).sum(axis=1)).abs().max() < 1e-2 assert np.max(np.abs(output_pt_step2.components.node_price - (output_pt_step2.components.f + output_pt_step2.components.tc_sum + output_pt_step2.components.vc_sum))) < 1e-2 assert (output_pt_step2.components.f - output_pt_step2.w_f.dot(output_pf.node_price)).abs().max() < 1e-2 assert (output_pt_step2.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price) for w in output_pt_step2.w_tc_list), axis=1 ).sum(axis=1) ).abs().max() < 1e-2</pre> <p> </p>
Data for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China
<p>This dataset is created for National carbon footprint estimations of an electrified internet of energy with circular economy under future EV market share prediction in China.</p> <p>The dataset includes the energy demand for buildings of each province in China, the Centralized and Distributed PV-battery system design of each province in China, The EV and ICEV carbon emission comparison of each province in China, the electricity price in China, The Carbon footprint and NPV calculation of current and future building-transportation system in China.</p>
Dataset Questionnaire Green Marketing Mix, Green Awarness, and Green Purchase
<p>The following dataset is a dataset from a study that investigated green marketing mix, green awareness, and green purchase intention in the context of electric vehicle in Indonesia.</p>
Supplementary data: model results for "Labor market evolution is a key determinant of global agroeconomic and environmental futures"
<p>This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "<strong>Labor market evolution is a key determinant of global agroeconomic and environmental futures</strong>".</p> <p>The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: <a href="https://github.com/realxinzhao/paper-nc2024-LandBasedCDR-GCAM" target="_blank" rel="noopener">realxinzhao/paper-nc2024-LandBasedCDR-GCAM</a>.</p> <p>In addition, the data were used for generating results used in the paper. See more information at <a href="https://github.com/realxinzhao/paper-nfood2024-AgLaborEvolution-DisplayItems" target="_blank" rel="noopener">realxinzhao/paper-nfood2024-AgLaborEvolution-DisplayItems</a>.</p>
Market Basket Analysis
<p>Test</p>
Appendix for 'Current Trends of Digital Marketing in the Indian Pharmaceutical Industry'
<p>This appendix provides supplementary materials for the research paper titled <em>"Current Trends of Digital Marketing in the Indian Pharmaceutical Industry."</em> It includes detailed survey questions, statistical analyses, reliability and validity reports, and comparisons of digital marketing strategies between Indian and multinational pharmaceutical companies.</p>
Não há fumaça sem fogo: o consumo de cigarros eletrônicos implicaçoes para o marketing social
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Orientação estratégica de marketing de valor para o consumidor e sociedade
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Marketing social e desinformação em saúde digital: análise bibliométrica de uma década de pesquisas
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Ids of Tweets including ZeroWaste from Twitter for A Case of Marketing Segmentation tool in Social Networks Research
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Acceso á saúde para a população de rua: o papel das políticas públicas e do marketing social
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Marketing social e Misinformation no MCMV
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.