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Este conjunto de datos muestra los proyectos creados por estudiantes de Diseño Gráfico de la Universidad de Santander. En resumen es la producción creada por los estudiantes.

This dataset includes fNIRS and demographic data for 30 9-month-old infants of mothers with severe mental illness (SMI) and 30 control infants. Experiment 1 studies neural responses to voice and non-voice sounds. Experiment 2 studies neural responses to a semantically neutral sentence ('Dogs are sitting by the door') pronounced with angry, happy, and neutral prosody. In the Non-neural data, group 1 is CAPRI and group 2 is non-CAPRI. Participant order is the same across files.

This dataset originates from a real-world footwear manufacturing warehouse and provides a comprehensive foundation for benchmarking research in warehouse order-picking operations. Data was collected via SQL queries on the company’s Warehouse Management System (WMS), resulting in diverse formats such as CSV files, CAD layouts, and Python scripts. The dataset includes geometric representations of the warehouse layout, with Cartesian-mapped storage locations, aisles, and central depots, detailed product classifications, storage positions, picking wave information, and routing paths. It supports evaluating various storage strategies, including Random, Class-Based, Dedicated, and Hybrid configurations, enabling the analysis of their impact on order-picking efficiency. Temporal data captures operational trends, including timestamps and operator-specific performance, offering insights into workflow efficiency and workload balancing. Anonymization and randomization techniques were applied while retaining realistic operational patterns to preserve confidentiality. This dataset is highly versatile and suitable for developing optimization algorithms for picker routing, order batching, wave generation, and intralogistics, as well as for advancing automation and robotics research through navigation-specific data for autonomous guided vehicles (AGVs) and robotic systems. This dataset significantly contributes to warehouse logistics research and operational optimization by supporting a wide range of applications.

Original data of this paper

This pack of replication materials contains (i) Stata data file Compiled_Data.dta; (ii) Stata do file data_analysis.do; (iii) Mathematica notebook Calculations.nb containing computations for Section 4.2.2 of the paper; (iv) zTree programs Sequential_3.ztt, Sequential_1_2.ztt, Sequential_2_1.ztt and Sequential_1_1_1.ztt corresponding to the 4 treatments in the experiment; (v) Experimental instructions for treatment (1,1,1). The data was collected in the XSFS Lab at Florida State University in 2018-2019. A detailed description of the experiment is available in our article "Contests with sequential moves: An experimental study" forthcoming in the Journal of the Economic Science Association. A working paper version is available online at https://arxiv.org/abs/2409.06230

Investigación en proceso. A partir de las condiciones de los procesos educativos maximizadas en pandemia, surge la necesidad de incorporar el uso de las tecnologías digitales en el proceso de enseñanza y de aprendizaje para transformar positivamente el aprendizaje, fortalecer habilidades digitales y competencias específicas que conlleven a mejorar la calidad de vida en la población intervenida. Se investigarán alternativas de solución a través de la categorización de estrategias de enseñanza que vinculen desde el diseño instruccional las TEP y el aprendizaje ubicuo en procesos de enseñanza-aprendizaje orientado específicamente al desarrollo de las competencias ciudadanas según los estándares del Ministerio de Educación Nacional. Con esta investigación aplicada de enfoque mixto dirigida a estudiantes en instituciones de educación básica y media, se obtendrá información mediante grupos focales, pruebas pretest y postest, para diagnosticar el estado de las competencias ciudadanas, su desarrollo a partir de la vinculación de las TEP desde las ecologías del aprendizaje y la incidencia del diseño instruccional. De esta manera y alrededor de las competencias específicas, se busca aportar un diseño instruccional desde las ecologías de aprendizaje, que oriente nuevas posibilidades para fortalecer la práctica pedagógica con la incorporación de TEP a la enseñanza, capitalizar las habilidades digitales de los estudiantes y contribuir a la calidad de los procesos educativos.

TCO analysis heat pumps

Data for K. Nakazawa et al. manuscript "On-ground Detection of An Upward Multi-pulse TGF Distant from an Ascending Stepped Leader".

Contienes la base de datos de artículos relacionados con la innovación académica y la inclusión de las lúdicas en procesos de enseñanza aprendizaje de temas relacionados con la ingeniería.

Nonketotic hyperglycinemia (NKH) is a rare autosomal recessive (AR) inherited disorder of amino acid metabolism known as glycine encephalopathy. Clinical manifestations arise as a result of enzyme deficiency involved in glycine degradation. Currently, there is no suitable treatment method available to change the prognosis of NKH; existing treatments aim to prevent and eliminate the accumulation of glycine in the body. MicroRNAs (miRNAs) are small non-coding RNAs that function as transcriptional and post-transcriptional regulators of gene expression. The growing significance of miRNAs in cellular mechanisms offers new horizons in deciphering the genotype-phenotype correlations in diseases, and assists in the early diagnosis, prognosis, and treatment options. Although their potential, the miRNAs involvement in NKH is yet to be elucidated. Here we report that comparative profiling of the small RNA sequencing data generated from diagnosed clinical samples. We conducted multi-step bioinformatics analysis to predict, annotate, and characterize candidate miRNAs for their cellular targets, associated pathways, and contribution to the disease mechanism. In our study, nine known miRNAs are identified to be associated with NKH using at least two different tools. Our study is the first to demonstrate altered miRNA profiles in cases where the expression of AMT and GLDC genes is reduced. We further demonstrated the alteration in miRNA levels in cases where the expression of AMT and GLDC genes is reduced. We hope that the candidate miRNAs could serve as a specific and robust biomarker for early diagnosis of NKH.