29 research outputs found
Tres esculturas de Blas Molner en la ermita de Nuestra Señora de Montenegro
No full textEl hallazgo no de una, sino de tres esculturas inéditas, firmadas por el escultor valenciano
Blas Molner, ha dado pie a la redacción de este artículo, que pretende dar a conocer estas
interesantes obras de arte, difundiendo el quehacer de este artista, hasta ahora desconocido
para la escultura en Canarias del siglo XVIII.The find of three unplublished sculptures, signed up by Blas Molner, a valencian artist, has
been the stanting point to develope this article. This work tries to show up these interesting
pieces that would explain the labour of this artist in the Archipielago in the latest decades of
the XVIII century, now absolutely unknown
Supplemental Material, DS_10.1177_0022242918813308 - Lost in a Universe of Markets: Toward a Theory of Market Scoping for Early-Stage Technologies
No full textSupplemental Material, DS_10.1177_0022242918813308 for Lost in a Universe of Markets: Toward a Theory of Market Scoping for Early-Stage Technologies by Sven Molner, Jaideep C. Prabhu, and Manjit S. Yadav in Journal of Marketing</p
Michel Sittow's Maternal Grandfather and His Identification in Medieval Sources
No full text<p>In his benchmarking article of 1940 on Michel Sittow, historian Paul Johansen not only discussed the identity of the famous painter, but also surveyed his immediate family and kin, including Michel's maternal grandfather Olef Molner, who had probably arrived to Tallinn from Finland. The authors of this article will take a fresh look at Finnish and Tallinn late medieval sources in order to conduct an in-depth study of Olef Molner's life and activities and assess if Johansen's arguments were solid. The article will also shed new light on how close the socio-economic connections between Finland and Tallinn were in the Middle Ages and how the newcomers became part of various transgenerational networks.</p>Peer reviewe
Copulata circa VIII libros Physicorum Aristotelis cum textu iuxta doctrinam doctoris sancti Thomae de Aquino
No full textMit InhaltsverzeichnisKeine Titelseite, Titel gemäss ExplicitImpressum gemäss ISTCSignaturformel: a–b⁸, c⁶, d-e⁸, f⁶, g⁸, h⁶, i⁸, k⁶, l⁸, m⁶, n-o⁸, p⁶, q⁸, r⁶, s⁸, t⁶, u¹⁰Die Blätter a₁ und u₁₀ sind unbedrucktGetilgter handschriftlicher Besitzvermerk auf Blatt a₁ recto: "De libris fratris wernheri derfelden conventus basiliensis ordinis predicatorum"; teilweise getilgter handschriftlicher Schenkungsvermerk auf Blatt ij recto: "Mauritius Episcopius Bern[ensis] Jo. suo Huldrico D.D. 1538"; auf Blatt u₇ handschriftliche Lesenotiz: "finivi e[go] f[rater] gotf[re]d[us] libr[orum] phi[sicorum] a[n]no d[omi]ni 1491 F[er]ia 5ta i[n]f[ra] oct[ava] visita[ti]o[n]is
Resource Orchestration of 5G Transport Networks for Vertical Industries
No full textThe future 5G transport networks are envisioned to support a variety of vertical services through network slicing and efficient orchestration over multiple administrative domains. In this paper, we propose an orchestrator architecture to support vertical services to meet their diverse resource and service requirements. We then present a system model for resource orchestration of transport networks as well as low-complexity algorithms that aim at minimizing service deployment cost and/or service latency. Importantly, the proposed model can work with any level of abstractions exposed by the underlying network or the federated domains depending on their representation of resources.This work has been partially funded by the EU H2020 5G-Transformer Project (grant no. 761536)
Automatic detection of floating aquatic vegetation from remote sensing data.
No full textThe Copernicus program is an Earth observation component of the European Union Space Program. One of the missions inside the program is Sentinel-2 with 2 satellites orbiting around the earth. The two satellites, Sentinel-2A and Sentinel-2B, can provide images in 13 different bands with a resolution of up to 10 m per pixel. Bands range from infrared through the visible spectrum to short wave infrared. The program, with its policy of free access, allows scientists and researchers to obtain data for several research fields such as cropland, glacier or lake monitoring. In this work we focus our attention on water quality monitoring. During the study of several lakes in the Spanish territory, patches of an invasive species were found floating in the water. Finding out when, where and why these plants appear is of great interest for researchers and environmental managers. Its detection is a manual process through the use of common remote-sensing indexes such as Normalized Difference Vegetation Index and water segmentation. The problem of this approach is its robustness out of the parameters under different locations and settings. The use of vegetation indices requires an adequate atmospheric correction, as well as the implementation of the index that is most useful for each case study. This work proposes an automatic search system for these forms of life with a small amount of labelled training data. By applying self-supervised learning, we are able to generate a model which can be fine-tuned with little data providing similar accuracy as other works in the same field. The model without fine-tuning provides image retrieval capabilities without the need of manual selection of visual features
Remote Sensing Tools for Monitoring Marine Phanerogams: A Review of Sentinel and Landsat Applications
No full textSeagrasses play a pivotal role in maintaining marine ecosystems, supporting biodiversity, and preventing sediment loss during storms. Their capacity for photosynthesis and growth is linked to light availability in the continental shelf waters. Satellite platforms such as Landsat (USGS) and Sentinel (ESA) provide accessible imagery for the monitoring of these submerged plants. This study employed the PRISMA methodology to conduct a systematic review of the literature, with the objective of identifying articles focused on these seagrasses and their detection via satellite imagery. The identified methodologies included the use of vegetation and water indices, which were validated through empirical observations, as well as supervised classification algorithms, such as Random Forest, Maximum Likelihood, and Support Vector Machine. These approaches were applied to Mediterranean and other coastal regions, revealing changes in seagrass cover due to anchor damage in tourist areas and trawling scars that resemble plough marks. Such tools are vital for informing management actions, such as the implementation of restrictions on anchoring and bottom trawling, in order to protect these vulnerable ecosystems. By enabling targeted interventions, this approach facilitates the preservation of seagrass meadows, which are also critical for carbon sequestration and the sustainability of marine habitats
Rehabilitation of urban beaches on the Mediterranean coast in Valencia (Spain) observed by remote sensing.
No full textBeaches, as ecosystems of high ecosocial and biodiversity importance, are threatened by human activities such as city development and port construction. This study used satellite imagery (Landsat 5, Landsat 8, and Sentinel-2) to detect a significant reduction of 70% in the beach areas of El Saler and La Garrofera (Valencia, Spain) from 170 ha in the 1990s to 43 ha in the year 2022. This process has occurred in parallel with the successive expansion of the Port of Valencia, a modifying agent of marine sedimentation in the region. In addition, encouraging results have been observed in the rehabilitation efforts in different periods. The latest work in the autumn of 2023 has improved the beach area to 112 ha. In this context, remote sensing emerges as an essential tool to monitor these ecosystems, which are important for both human welfare and biodiversity conservation, as well as to allow for monitoring during ecological restoration
Estimating water transparency using Sentinel-2 images in a shallow hypertrophic lagoon (the Albufera of Valencia, Spain).
No full textWater transparency, a crucial environmental indicator, was assessed during fieldwork via Secchi disk depth (ZSD) measurements. Three optical models (R490/R560, R490/R705, and R560/R705) were explored to establish a robust algorithm for ZSD estimation. Through extensive field sampling and laboratory analyses, weekly data spanning 2018 to 2023 were collected, including water transparency, temperature, conductivity, and chlorophyll-a concentration. Remote sensing imagery from the Sentinel-2 mission was employed, and the images were processed using SNAP 9.0 software. The R560/R705 index, suitable for turbid lakes, proved to be the most optimal, with an R2 of 0.6149 in calibration and 0.916 during validation. In contrast, the R490/R705 and R490/R560 indices obtained R2 values of 0.2805 and 0.0043 respectively. The algorithm calibrated in the present study improved the pre-existing algorithm, with an NRMSE of 17.8% versus 20.7% of the previous one for estimating the Secchi disk depth in the Albufera de Valencia, highlighting the importance of developing specific algorithms for specific water body characteristics. The study contributes to improved water quality assessment and resource management, underscoring the value of remote sensing in environmental research
