14 research outputs found
Quasi-static and Dynamic Behavior of Additively Manufactured Metallic Lattice Cylinders
Lattice structures have tailorable mechanical properties which allows them to
exhibit superior mechanical properties (per unit weight) beyond what is
achievable through natural materials. In this paper, quasi-static and dynamic
behavior of additively manufactured stainless steel lattice cylinders is
studied. Cylindrical samples with internal lattice structure are fabricated by
a laser powder bed fusion system. Equivalent hollow cylindrical samples with
the same length, outer diameter, and mass (larger wall thickness) are also
fabricated. Split Hopkinson bar is used to study the behavior of the specimens
under high strain rate loading. It is observed that lattice cylinders reduce
the transmitted wave amplitude up to about 21% compared to their equivalent
hollow cylinders. However, the lower transmitted wave energy in lattice
cylinders comes at the expense of a greater reduction in their stiffness, when
compared to their equivalent hollow cylinder. In addition, it is observed that
increasing the loading rate by five orders of magnitude leads to up to about
36% increase in the peak force that the lattice cylinder can carry, which is
attributed to strain rate hardening effect in the bulk stainless steel
material. Finite element simulations of the specimens under dynamic loads are
performed to study the effect of strain rate hardening, thermal softening, and
the failure mode on dynamic behavior of the specimens. Numerical results are
compared with experimental data and good qualitative agreement is observed.Comment: 20th Biennial Conference of the APS Topical Group on Shock
Compression of Condensed Matte
Plan estratégico de la alianza Delta Signal-Tesla 2021-2024
El presente trabajo, que considera los cambios de preferencias de productos y servicios que se vienen dando dentro del mercado automotriz, expone el plan estratégico y los planes funcionales de Delta Signal Corp., empresa de autopartes eléctricas, en el marco de fortalecer su cultura, inspiración y alcance, a fin de continuar innovando desde la convergencia de su mindset y la ejecución de su transformación. En ese sentido, el “gatillador” primigenio será ejecutar una alianza estratégica complementaria vertical, sin aporte de capital, con la empresa Tesla, líder en el desarrollo y producción de vehículos eléctricos. El marco temporal para este trabajo es para el periodo 2021-2024
Impacto de un canal alternativo del Banco de la Nación en el distrito turístico de Marcona, Ica
El presente trabajo titulado: “Impacto de un Canal Alternativo del Banco de la Nación en el Distrito Turístico de Marcona, Ica”, muestra los resultados de una identificación y descripción del canal Agentes Multired del Banco de la Nación, como oportunidad de convertirse en generador de ventajas competitivas para de manera confortable, viabilizar la transaccionabilidad monetaria de los visitantes y comercios cercanos a los recursos turísticos naturales y culturales del distrito turístico de Marcona, Ica; mediante la tecnología del dispositivo POS, resultando en nuevas oportunidades de negocio y mejores experiencias del servicio turístico; por ello considerando los resultados de la muestra utilizada, sometida a las técnicas desarrolladas en el presente trabajo se entiende que, el uso del Agente Multired está apalancando al cambio de vida de las personas y negocios locales, permitiendo un abanico de servicios con buena relación costo-beneficio, logrando un nuevo ecosistema económico, donde los turistas disponen de medios alternativos para disponer de su capacidad de adquisición para bienes y servicios que deseen. Asimismo el uso de los POS promueve la formalización de los operadores turísticos y comerciantes, como también las posibilidades de incrementar visitas a los atractivos turísticos. En ese sentido el Banco de la Nación viene proveyendo las condiciones (banca ancla), para que los comercios en el distrito de Marcona cuenten con Agentes Multired, ya que es una oportunidad como estrategia para la diversificación de medios de intercambio monetario, y contribuiría al desarrollo de los comercios aledaños a los recursos naturales y culturales de Marcona, posibilitaría un aumento en la tasa de permanencia y gasto del turista, resultando en una dinamización de la economía local, promoviendo la libre competencia y a largo plazo un desarrollo de la planta turística y económica de la ciudad
Satellite image analysis to study the variation of coastal profile due to coastal structures in Callao port
Analizar la variación en las costas es crucial a nivel global, regional y local para responder a emergencias, proteger la economía costera y mitigar impactos del cambio climático. A nivel global, las imágenes satelitales son esenciales para delimitar zonas costeras con precisión, mientras que, a nivel regional, la actividad económica depende significativamente de estas áreas. Localmente, en el Callao, Perú, la pérdida de costa debido a fenómenos como "El Niño" subraya la necesidad de datos precisos y actualizados. El análisis de imágenes satelitales permite evaluar los cambios en el ancho del perfil costero debido a la influencia de estructuras costeras, enfocándose específicamente en el impacto del puerto del Callao. Este método ayuda a entender cómo estas infraestructuras alteran la dinámica costera y afectan la morfología de la playa en esa zona. En el presente estudio de investigación se llevó a cabo un análisis costero utilizando imágenes satelitales Copernicus Landsat 3. Se realizaron dos análisis distintos: uno con presencia de estructuras costeras y otro sin ellas. Se empleó el software ArcGIS, adquirido mediante una licencia universitaria, para procesar y analizar las imágenes de la costa del Callao durante los veranos de los años 2016, 2020 y 2024. Durante el análisis costero, se utilizaron diversas funciones del software, como polilínea, región, cortar y borrar, entre otras, para delimitar las áreas de erosión y sedimentación costera de cada año y compararlas con el año anterior. El proceso consistió en determinar inicialmente el ancho de la costa base, establecido en el año de menor extensión, y posteriormente analizar cómo variaba este ancho en años sucesivos. Se concluyó que la presencia de estructuras costeras contribuyó a reducir tanto la erosión como la sedimentación en aproximadamente 3.5 veces en comparación con la ausencia de estas estructuras. Además, se observó un aumento progresivo en el ancho de la costa debido a la sedimentación, la cual se mantuvo constante a lo largo de los años. Estos resultados sugieren la existencia de un fenómeno costero en la región del Callao que promueve la sedimentación.Analyzing variation in coastlines is crucial at global, regional and local levels to respond to emergencies, protect the coastal economy and mitigate the impacts of climate change. At a global level, satellite images are essential to accurately delimit coastal zones, while, at a regional level, economic activity depends significantly on these areas. Locally, in Callao, Peru, the loss of coastline due to phenomena such as "El Niño" underscores the need for accurate and up-to-date data. The analysis of satellite images allows evaluating changes in the width of the coastal profile due to the influence of coastal structures, focusing specifically on the impact of the port of Callao. This method helps to understand how these infrastructures alter coastal dynamics and affect the morphology of the beach in that area. In the present research study, a coastal analysis was carried out using Copernicus Lansad 3 satellite images. Two different analyzes were carried out: one with the presence of coastal structures and another without them. ArcGIS software, acquired through a university license, was used to process and analyze images of the coast of Callao during the summers of 2016, 2020 and 2024. During the coastal analysis, various software functions were used, such as polyline, region, cutting and erasing, among others, to delimit the areas of coastal erosion and sedimentation of each year and compare them with the previous year. The process consisted of initially determining the width of the base coast, established in the year of smallest extension, and subsequently analyzing how this width varied in successive years. It was concluded that the presence of coastal structures contributed to reducing both erosion and sedimentation by approximately 3.5 times compared to the absence of these structures. In addition, a progressive increase in the width of the coast will be observed due to sedimentation, which has remained constant over the years. These results suggest the existence of a coastal phenomenon in the Callao region that promotes sedimentation. A more thorough analysis is recommended to better understand these factors.Trabajo de Suficiencia ProfesionalODS 13: Acción por el climaODS 14: Vida submarinaODS 11: Ciudades y comunidades sostenible
Satellite image analysis to study the variation of coastal profile due to coastal structures in Callao port
Analizar la variación en las costas es crucial a nivel global, regional y local para responder a emergencias, proteger la economía costera y mitigar impactos del cambio climático. A nivel global, las imágenes satelitales son esenciales para delimitar zonas costeras con precisión, mientras que, a nivel regional, la actividad económica depende significativamente de estas áreas. Localmente, en el Callao, Perú, la pérdida de costa debido a fenómenos como "El Niño" subraya la necesidad de datos precisos y actualizados. El análisis de imágenes satelitales permite evaluar los cambios en el ancho del perfil costero debido a la influencia de estructuras costeras, enfocándose específicamente en el impacto del puerto del Callao. Este método ayuda a entender cómo estas infraestructuras alteran la dinámica costera y afectan la morfología de la playa en esa zona. En el presente estudio de investigación se llevó a cabo un análisis costero utilizando imágenes satelitales Copernicus Landsat 3. Se realizaron dos análisis distintos: uno con presencia de estructuras costeras y otro sin ellas. Se empleó el software ArcGIS, adquirido mediante una licencia universitaria, para procesar y analizar las imágenes de la costa del Callao durante los veranos de los años 2016, 2020 y 2024. Durante el análisis costero, se utilizaron diversas funciones del software, como polilínea, región, cortar y borrar, entre otras, para delimitar las áreas de erosión y sedimentación costera de cada año y compararlas con el año anterior. El proceso consistió en determinar inicialmente el ancho de la costa base, establecido en el año de menor extensión, y posteriormente analizar cómo variaba este ancho en años sucesivos. Se concluyó que la presencia de estructuras costeras contribuyó a reducir tanto la erosión como la sedimentación en aproximadamente 3.5 veces en comparación con la ausencia de estas estructuras. Además, se observó un aumento progresivo en el ancho de la costa debido a la sedimentación, la cual se mantuvo constante a lo largo de los años. Estos resultados sugieren la existencia de un fenómeno costero en la región del Callao que promueve la sedimentación.Analyzing variation in coastlines is crucial at global, regional and local levels to respond to emergencies, protect the coastal economy and mitigate the impacts of climate change. At a global level, satellite images are essential to accurately delimit coastal zones, while, at a regional level, economic activity depends significantly on these areas. Locally, in Callao, Peru, the loss of coastline due to phenomena such as "El Niño" underscores the need for accurate and up-to-date data. The analysis of satellite images allows evaluating changes in the width of the coastal profile due to the influence of coastal structures, focusing specifically on the impact of the port of Callao. This method helps to understand how these infrastructures alter coastal dynamics and affect the morphology of the beach in that area. In the present research study, a coastal analysis was carried out using Copernicus Lansad 3 satellite images. Two different analyzes were carried out: one with the presence of coastal structures and another without them. ArcGIS software, acquired through a university license, was used to process and analyze images of the coast of Callao during the summers of 2016, 2020 and 2024. During the coastal analysis, various software functions were used, such as polyline, region, cutting and erasing, among others, to delimit the areas of coastal erosion and sedimentation of each year and compare them with the previous year. The process consisted of initially determining the width of the base coast, established in the year of smallest extension, and subsequently analyzing how this width varied in successive years. It was concluded that the presence of coastal structures contributed to reducing both erosion and sedimentation by approximately 3.5 times compared to the absence of these structures. In addition, a progressive increase in the width of the coast will be observed due to sedimentation, which has remained constant over the years. These results suggest the existence of a coastal phenomenon in the Callao region that promotes sedimentation. A more thorough analysis is recommended to better understand these factors.Trabajo de Suficiencia ProfesionalODS 13: Acción por el climaODS 14: Vida submarinaODS 11: Ciudades y comunidades sostenible
From Bench to the Clinic: The Path to Translation of Nanotechnology-Enabled mRNA SARS-CoV-2 Vaccines
During the last decades, the use of nanotechnology in medicine has effectively been translated to the design of drug delivery systems, nanostructured tissues, diagnostic platforms, and novel nanomaterials against several human diseases and infectious pathogens. Nanotechnology-enabled vaccines have been positioned as solutions to mitigate the pandemic outbreak caused by the novel pathogen severe acute respiratory syndrome coronavirus 2. To fast-track the development of vaccines, unprecedented industrial and academic collaborations emerged around the world, resulting in the clinical translation of effective vaccines in less than one year. In this article, we provide an overview of the path to translation from the bench to the clinic of nanotechnology-enabled messenger ribonucleic acid vaccines and examine in detail the types of delivery systems used, their mechanisms of action, obtained results during each phase of their clinical development and their regulatory approval process. We also analyze how nanotechnology is impacting global health and economy during the COVID-19 pandemic and beyond
The Singapore national precision medicine strategy
Precision medicine promises to transform healthcare for groups and individuals through early disease detection, refining diagnoses and tailoring treatments. Analysis of large-scale genomic-phenotypic databases is a critical enabler of precision medicine. Although Asia is home to 60% of the world's population, many Asian ancestries are under-represented in existing databases, leading to missed opportunities for new discoveries, particularly for diseases most relevant for these populations. The Singapore National Precision Medicine initiative is a whole-of-government 10-year initiative aiming to generate precision medicine data of up to one million individuals, integrating genomic, lifestyle, health, social and environmental data. Beyond technologies, routine adoption of precision medicine in clinical practice requires social, ethical, legal and regulatory barriers to be addressed. Identifying driver use cases in which precision medicine results in standardized changes to clinical workflows or improvements in population health, coupled with health economic analysis to demonstrate value-based healthcare, is a vital prerequisite for responsible health system adoption.Agency for Science, Technology and Research (A*STAR)Ministry of Health (MOH)National Medical Research Council (NMRC)National Research Foundation (NRF)We thank all investigators, staf members and study participants of the contributing cohorts and studies: (1) the HELIOS study at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; (2) the GUSTO study jointly hosted by the National University Hospital, KK Women’s and Children’s Hospital, the National University of Singapore and the Singapore Institute for Clinical Sciences, the Agency for Science Technology and Research (A*STAR); (3) the SEED cohort at the Singapore Eye Research Institute; (4) the MEC, National University of Singapore; (5) the PRISM cohort; and (6) the TTSH Personalised Medicine Normal Controls cohort. We also thank the National Supercomputing Centre, Singapore (https://www.ncss.sg) for computation resources. The SG10K_Health project is funded by the Industry Alignment Fund (Pre-Positioning) (IAF-PP, H17/01/a0/007); the project made use of participating study cohorts supported by the following funding sources: (1) the HELIOS study by grants from a Strategic Initiative at Lee Kong Chian School of Medicine, the Singapore MOH under its Singapore Translational Research Investigator Award (NMRC/STaR/0028/2017) and the IAF-PP (H18/01/a0/016); (2) the GUSTO study by the Singapore National Research Foundation under its Translational and Clinical Research Flagship Program and administered by the Singapore MOH’s National Medical Research Council Singapore (NMRC/TCR/004-NUS/2008, NMRC/ TCR/012-NUHS/2014) with additional funding support available through the A*STAR and the IAF-PP (H17/01/a0/005); (3) the SEED study by NMRC/CIRG/1417/2015, NMRC/CIRG/1488/2018 and NMRC/OFLCG/004/2018; (4) the MEC by individual research and clinical scientist award schemes from the Singapore National Medical Research Council (including MOH-000271-00) and the Singapore Biomedical Research Council, the Singapore MOH, the National University of Singapore and the Singapore National University Health System; (5) the PRISM cohort study by NMRC/CG/ M006/2017_NHCS, NMRC/STaR/0011/2012, NMRC/STaR/0026/2015, the Lee Foundation and the Tanoto Foundation; and (6) the TTSH cohort study by NMRC/CG12AUG2017 and CGAug16M012. This research is also supported by the National Research Foundation Singapore under its NPM program Phase II funding (MOH-000588) and administered by the Singapore MOH’s National Medical Research Council