576 research outputs found
Open Systems in Classical Mechanics
Span categories provide a framework for formalizing mathematical models of
open systems in classical mechanics. The categories appearing in classical
mechanics do not have pullbacks, which requires the use of generalized span
categories. We introduce categories \LagSy and \HamSy that respectively
provide a categorical framework for the Lagrangian and Hamiltonian descriptions
of open classical mechanical systems. The morphisms of \LagSy and \HamSy
correspond to such open systems, and composition of morphisms models the
construction of systems from subsystems. The Legendre transformation gives a
functor from \LagSy to \HamSy that translates from the Lagrangian to the
Hamiltonian perspective.Comment: 31 page
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection
The quality and richness of feature maps extracted by convolution neural
networks (CNNs) and vision Transformers (ViTs) directly relate to the robust
model performance. In medical computer vision, these information-rich features
are crucial for detecting rare cases within large datasets. This work presents
the "Scopeformer," a novel multi-CNN-ViT model for intracranial hemorrhage
classification in computed tomography (CT) images. The Scopeformer architecture
is scalable and modular, which allows utilizing various CNN architectures as
the backbone with diversified output features and pre-training strategies. We
propose effective feature projection methods to reduce redundancies among
CNN-generated features and to control the input size of ViTs. Extensive
experiments with various Scopeformer models show that the model performance is
proportional to the number of convolutional blocks employed in the feature
extractor. Using multiple strategies, including diversifying the pre-training
paradigms for CNNs, different pre-training datasets, and style transfer
techniques, we demonstrate an overall improvement in the model performance at
various computational budgets. Later, we propose smaller compute-efficient
Scopeformer versions with three different types of input and output ViT
configurations. Efficient Scopeformers use four different pre-trained CNN
architectures as feature extractors to increase feature richness. Our best
Efficient Scopeformer model achieved an accuracy of 96.94\% and a weighted
logarithmic loss of 0.083 with an eight times reduction in the number of
trainable parameters compared to the base Scopeformer. Another version of the
Efficient Scopeformer model further reduced the parameter space by almost 17
times with negligible performance reduction. Hybrid CNNs and ViTs might provide
the desired feature richness for developing accurate medical computer vision
model
Refugees Hosting Other refugees: Endurance and Maintenance of Care in Ouzaii (Lebanon)
This article examines the socio-spatial mechanisms that emerge when refugees host other refugees. It argues that there is an underlying social infrastructure of care that impacts the refugees’ choice of destinations and modes of survival. When refugees host other refugees from close networks of relatives and neighbours, they create their own spatial clusters. In the process, the social infrastructure of care offers one mode of security to vulnerable refugees. Care as a concept and an approach is related to ideas of endurance and maintenance. It facilitates multiple dimensions, from space, to affection and to the everyday. It is able to reconfigure a life possible, life-enduring and a life meaningful in an urban setting. We focus on Ouzaii in Beirut, Lebanon. Ouzaii has been a destination for multiple displaced groups over different periods of time. Ouzaii currently hosts an approximate 10,000 Syrian refugees. They chose Ouzaii as their destination after they were helped by existing refugees who offered shelter and access to jobs. The resultant socio-spatial practices, flourishing businesses and leisurely facilities are evidence of successful social networks that form an infrastructure of care. They also play a role in the reconstitution of Ouzaii itself.
We conclude with reflections on how urban informality may offer refugees an alternative right to the city while allowing them to escape the gaze of the humanitarian-aid apparatus that can signify their vulnerability by reducing them to only being aid recipients. Instead, they form protective socio-spatial networks that have proved to be powerful in sustaining their livelihoods, guarding them from possible social discrimination or political threats
An offside soccer detection system using ontology and deep learning
Nowadays, the Soccer events detection domain has become a more critical issue that attracts many researchers due to the enormous volume of available soccer video data worldwide. Consequently, it was a complicated task to recognize events using the video object detection process. This challenge leads us to propose an approach based on deep learning supplied by the ontology paradigm. This article develops a soccer offside detection system divided into two parts: applying deep learning algorithms to extract both visual and audio low-level features like balls, players, referee whistle sound, Etc. The second one considers these results and runs some ontology SWRL rules to identify events like offside or not offside players. Our final experiments demonstrate that the proposed approach reached better results than the other ones in the state-of-the-art. 
EPRL Sliding Mode Flight Controller with Model-based Switching Manifold of a Quad-Rotor UAV
Presentación realizada en el marco Proyecto PINV18-765: Vehículos aéreos no tripulados en aplicaciones para la agricultura de precisión para el monitoreo de cultivos agrícolas. Cuyo objetivo general fue: el Estudio, investigación, análisis y validación experimental de, por un lado, avanzadas estrategias de control de vuelo de vehículos no tripulados (UAV) y, por otro, de algoritmos de procesamiento de imágenes obtenidas por el UAV, orientada al análisis de cultivos agrícolas enfocado al desarrollo del sector agropecuario.CONACYT - Consejo Nacional de Ciencias y TecnologíaPROCIENCI
Olefin Metathesis by Group VI (Mo, W) Metal Compounds
Olefin metathesis is an important reaction not only in petroleum chemistry but also in fine chemistry. Professors Grubbs, Schrock, and Chauvin obtained the Nobel Prize in 2005 for the development of this reaction (determination of the mechanism and synthesis of homogeneous catalysts). This reaction can be described as the redistribution of carbon chains of olefins via a breaking of their C═C double bonds. It is catalyzed by metal carbenes and the catalytic cycle passes through a metallacyclobutane. The purpose of this chapter is to give an overview of catalysts based on tungsten or molybdenum active for this reaction. Numerous tungsten and molybdenum organometallic complexes displaying a carbene functionality were synthesized. Some of them are highly active in olefin metathesis. Industrially, tungsten oxide on silica is used as a precursor of the propene production by olefin metathesis of but-2-ene and ethylene. However, the active sites are not well known but they can be modeled by grafting, via surface organometallic chemistry, perhydrocarbyl complexes of molybdenum or tungsten on oxide surfaces. After a review of the complexes used in homogeneous catalysis, a review of the industrial catalysts and their models will be given
Luminal leptin inhibits L-glutamine transport in rat small intestine: involvement of ASCT2 and B0AT1.
L-glutamine is the primary metabolic fuel for enterocytes. Glutamine from the diet is transported into the absorptive cells by two sodium-dependent neutral amino acid transporters present at the apical membrane: ASCT2/SLC1A5 and B(0)AT1/SLC6A19. We have demonstrated that leptin is secreted into the stomach lumen after a meal and modulates the transport of sugars after binding to its receptors located at the brush border of the enterocytes. The present study was designed to address the effect of luminal leptin on Na(+)-dependent glutamine (Gln) transport in rat intestine and identify the transporters involved. We found that 0.2 nM leptin inhibited uptake of Gln and phenylalanine (Phe) (substrate of B(0)AT1) using everted intestinal rings. In Ussing chambers, 10 mM Gln absorption followed as Na(+)-induced short-circuit current was inhibited by leptin in a dose-dependent manner (maximum inhibition at 10 nM; I(C50) = approximately 0.1 nM). Phe absorption was also decreased by leptin. Western blot analysis after 3-min incubation of the intestinal loops with 10 mM Gln, showed marked increase of ASCT2 and B(0)AT1 protein in the brush-border membrane that was reduced by rapid preincubation of the intestinal lumen with 1 nM leptin. Similarly, the increase in ASCT2 and B(0)AT1 gene expression induced by 60-min incubation of the intestine with 10 mM Gln was strongly reduced after a short preincubation period with leptin. Altogether these data demonstrate that, in rat, leptin controls the active Gln entry through reduction of both B(0)AT1 and ASCT2 proteins traffic to the apical plasma membrane and modulation of their gene expression
Leptin regulates sugar and amino acids transport in the human intestinal cell line Caco-2
Aim: Studies in rodents have shown that leptin controls sugars and glutamine entry in the enterocytes by regulating membrane transporters. Here, we have examined the effect of leptin on sugar and amino acids absorption in the human model of intestinal cells Caco-2 and investigated the transporters involved.
Methods: Substrate uptake experiments were performed in Caco-2 cells, grown on plates, in the presence and the absence of leptin and the expression of the different transporters in brush border membrane vesicles was analysed by Western blot.
Results: Leptin inhibited 0.1 mM α-methyl-D-glucoside uptake after 5 or 30 min treatment, and decreased SGLT1 protein abundance in the apical membrane. Uptake of 20 µM glutamine and 0.1 mM phenylalanine was also inhibited by leptin, indicating sensitivity to the hormone of the Na+-dependent neutral amino acid transporters ASCT2 and B0AT1. This inhibition was accompanied by a reduction of the transporters expression at the brush-border membrane. Leptin also inhibited 1 mM proline and β-alanine uptake in Na+ medium at pH 6, conditions for optimal activity of the H+-dependent neutral amino acid transporter PAT1. In this case, abundance of PAT1 in the brush-border membrane after leptin treatment was not modified. Interestingly, leptin inhibitory effect on β-alanine uptake was reversed by the PKA inhibitor H-89 suggesting involvement of PKA pathway in leptin´s regulation of PAT1 activity.
Conclusion: These data show in human intestinal cells that leptin can rapidly control the activity of physiologically relevant transporters for rich-energy molecules, i.e D-glucose (SGLT1) and amino acids (ASCT2, B0AT1 and PAT1)
Use of Hemagglutinin Stem Probes Demonstrate Prevalence of Broadly Reactive Group 1 Influenza Antibodies in Human Sera.
A better understanding of the seroprevalence and specificity of influenza HA stem-directed broadly neutralizing antibodies (bNAbs) in the human population could significantly inform influenza vaccine design efforts. Here, we utilized probes comprising headless, HA stabilized stem (SS) to determine the prevalence, binding and neutralization breadth of antibodies directed to HA stem-epitope in a cross-sectional analysis of the general population. Five group-1 HA SS probes, representing five subtypes, were chosen for this analyses. Eighty-four percent of samples analyzed had specific reactivity to at least one probe, with approximately 60% of the samples reactive to H1 probes, and up to 45% reactive to each of the non-circulating subtypes. Thirty percent of analyzed sera had cross-reactivity to at least four of five probes and this reactivity could be blocked by competing with F10 bNAb. Binding cross-reactivity in sera samples significantly correlated with frequency of H1H5 cross-reactive B cells. Interestingly, only 33% of the cross-reactive sera neutralized both H1N1 and H5N1 pseudoviruses. Cross-reactive and neutralizing antibodies were more prevalent in individuals >50 years of age. Our data demonstrate the need to use multiple HA-stem probes to assess for broadly reactive antibodies. Further, a universal vaccine could be designed to boost pre-existing B-cells expressing stem-directed bNAbs
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