80 research outputs found

    Fano Resonances in Electronic Transport through a Single Electron Transistor

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    We have observed asymmetric Fano resonances in the conductance of a single electron transistor resulting from interference between a resonant and a nonresonant path through the system. The resonant component shows all the features typical of quantum dots, but the origin of the non-resonant path is unclear. A unique feature of this experimental system, compared to others that show Fano line shapes, is that changing the voltages on various gates allows one to alter the interference between the two paths.Comment: 8 pages, 6 figures. Submitted to PR

    Thermodynamics of Dipolar Chain Systems

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    The thermodynamics of a quantum system of layers containing perpendicularly oriented dipolar molecules is studied within an oscillator approximation for both bosonic and fermionic species. The system is assumed to be built from chains with one molecule in each layer. We consider the effects of the intralayer repulsion and quantum statistical requirements in systems with more than one chain. Specifically, we consider the case of two chains and solve the problem analytically within the harmonic Hamiltonian approach which is accurate for large dipole moments. The case of three chains is calculated numerically. Our findings indicate that thermodynamic observables, such as the heat capacity, can be used to probe the signatures of the intralayer interaction between chains. This should be relevant for near future experiments on polar molecules with strong dipole moments.Comment: 15 pages, 5 figures, final versio

    Structural characterisation of neutrophil glycans by ultra sensitive mass spectrometric glycomics methodology

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    Neutrophils are the most abundant white blood cells in humans and play a vital role in several aspects of the immune response. Numerous reports have implicated neutrophil glycosylation as an important factor in mediating these interactions. We report here the application of high sensitivity glycomics methodologies, including matrix assisted laser desorption ionisation (MALDI-TOF) and MALDI-TOF/TOF analyses, to the structural analysis of N- and O-linked carbohydrates released from two samples of neutrophils, prepared by two separate and geographically remote laboratories. The data produced demonstrates that the cells display a diverse range of sialylated and fucosylated complex glycans, with a high level of similarity between the two preparations

    Detecção molecular e anålise filogenética de vírus respiratório sincicial bovino (BRSV) em swabs e tecido pulmonar de bovinos adultos

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    O vĂ­rus respiratĂłrio sincicial bovino (BRSV) Ă© um dos agentes etiolĂłgicos de pneumonias em bovinos jovens. Poucos estudos foram realizados visando Ă  detecção do agente em amostras coletadas de animais adultos, e em especial de bovinos assintomĂĄticos. No entanto, presume-se que as infecçÔes ocorridas nestes grupos possam ocorrer em sua maioria de forma assintomĂĄtica e este seria um mecanismo importante para manutenção do BRSV nos rebanhos. No presente estudo, o objetivo foi realizar uma anĂĄlise da prevalĂȘncia de infecçÔes assintomĂĄticas pelo BRSV em pulmĂ”es (n=68) e swabs nasais (209) coletados de bovinos adultos coletadas em frigorĂ­ficos da regiĂŁo Sul e Sudeste respectivamente, no sentido de detectar por intermĂ©dio de reação da polimerase em cadeia qual a taxa de animais infectados em populaçÔes de animais adultos onde nĂŁo ocorram sinais clĂ­nicos da infecção. As amostras positivas Ă  RT-PCR (6) foram posteriormente submetidas ao corte com enzimas de restrição (REA) e sequenciamento para caracterização genĂ©tica do gene F (2 das amostras). Todas as amostras se enquadram no subgrupo B de BRSV, o grupo circulante no Brasil conforme estudos anteriores. Os resultados obtidos demonstram que o BRSV pode estar presente em amostras obtidas de animais sadios, reforçando a hipĂłtese de que infecçÔes subclĂ­nicas fazem parte do mecanismo de manutenção do vĂ­rus nos rebanhos

    Neuroimaging-based classification of PTSD using data-driven computational approaches: a multisite big data study from the ENIGMA-PGC PTSD consortium

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    Background: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. Methods: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. Results: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for D-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. Conclusion: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.Stress-related psychiatric disorders across the life spa

    Vascular Remodeling in Health and Disease

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    The term vascular remodeling is commonly used to define the structural changes in blood vessel geometry that occur in response to long-term physiologic alterations in blood flow or in response to vessel wall injury brought about by trauma or underlying cardiovascular diseases.1, 2, 3, 4 The process of remodeling, which begins as an adaptive response to long-term hemodynamic alterations such as elevated shear stress or increased intravascular pressure, may eventually become maladaptive, leading to impaired vascular function. The vascular endothelium, owing to its location lining the lumen of blood vessels, plays a pivotal role in regulation of all aspects of vascular function and homeostasis.5 Thus, not surprisingly, endothelial dysfunction has been recognized as the harbinger of all major cardiovascular diseases such as hypertension, atherosclerosis, and diabetes.6, 7, 8 The endothelium elaborates a variety of substances that influence vascular tone and protect the vessel wall against inflammatory cell adhesion, thrombus formation, and vascular cell proliferation.8, 9, 10 Among the primary biologic mediators emanating from the endothelium is nitric oxide (NO) and the arachidonic acid metabolite prostacyclin [prostaglandin I2 (PGI2)], which exert powerful vasodilatory, antiadhesive, and antiproliferative effects in the vessel wall

    Nanophononics: state of the art and perspectives

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    RFID Systems: A Survey on Security Threats and Proposed Solutions

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    Abstract. Low-cost Radio Frequency Identification (RFID) tags affixed to consumer items as smart labels are emerging as one of the most per-vasive computing technology in history. This can have huge security im-plications. The present article surveys the most important technical se-curity challenges of RFID systems. We first provide a brief summary of the most relevant standards related to this technology. Next, we present an overview about the state of the art on RFID security, addressing both the functional aspects and the security risks and threats associated to its use. Finally, we analyze the main security solutions proposed until date
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