56 research outputs found
A PLL-based multirate structure for time-varying power systems harmonic/interharmonic estimation
This paper describes a phase-locked-loop (PLL)-based power systems harmonic estimation algorithm, which uses an analysis filter bank and multirate processing. The filter bank is composed of bandpass filters. The initial center frequency of each filter is purposely chosen to be equal to harmonic frequencies. However, an adaptation strategy makes it possible to track time-varying frequencies as well as interharmonic components. A downsampler device follows the filtering stage, reducing the computational burden, especially because undersampling operations are performed. Finally, the last stage is composed of a PLL estimator which provides estimates for amplitude, phase, and frequency of the input signal. The proposed method improves the accuracy, computational effort, and convergence time of the previous harmonic estimator based on cascade PLL configuration
Ongoing monkeypox virus outbreak, Portugal, 29 April to 23 May 2022
Up to 27 May 2022, Portugal has detected 96 confirmed
cases of monkeypox. We describe 27 confirmed
cases (median age: 33 years (range: 22–51); all males),
with an earliest symptom onset date of 29 April.
Almost all cases (n = 25) live in the Lisbon and Tagus
Valley health region. Most cases were neither part of
identified transmission chains, nor linked to travel or
had contact with symptomatic persons or with animals,
suggesting the possible previously undetected
spread of monkeypox.info:eu-repo/semantics/publishedVersio
The impact of the metabotropic glutamate receptor and other gene family interaction networks on autism
Although multiple reports show that defective genetic networks underlie the aetiology of autism, few have translated into pharmacotherapeutic opportunities. Since drugs compete with endogenous small molecules for protein binding, many successful drugs target large gene families with multiple drug binding sites. Here we search for defective gene family interaction networks (GFINs) in 6,742 patients with the ASDs relative to 12,544 neurologically normal controls, to find potentially druggable genetic targets. We find significant enrichment of structural defects (P≤2.40E-09, 1.8-fold enrichment) in the metabotropic glutamate receptor (GRM) GFIN, previously observed to impact attention deficit hyperactivity disorder (ADHD) and schizophrenia. Also, the MXD-MYC-MAX network of genes, previously implicated in cancer, is significantly enriched (P≤3.83E-23, 2.5-fold enrichment), as is the calmodulin 1 (CALM1) gene interaction network (P≤4.16E-04, 14.4-fold enrichment), which regulates voltage-independent calcium-activated action potentials at the neuronal synapse. We find that multiple defective gene family interactions underlie autism, presenting new translational opportunities to explore for therapeutic interventions
Assessment of plasma chitotriosidase activity, CCL18/PARC concentration and NP-C suspicion index in the diagnosis of Niemann-Pick disease type C: A prospective observational study
Background: Niemann-Pick disease type C (NP-C) is a rare, autosomal recessive neurodegenerative disease caused by mutations in either the NPC1 or NPC2 genes. The diagnosis of NP-C remains challenging due to the non-specific, heterogeneous nature of signs/symptoms. This study assessed the utility of plasma chitotriosidase (ChT) and Chemokine (C-C motif) ligand 18 (CCL18)/pulmonary and activation-regulated chemokine (PARC) in conjunction with the NP-C suspicion index (NP-C SI) for guiding confirmatory laboratory testing in patients with suspected NP-C. Methods: In a prospective observational cohort study, incorporating a retrospective determination of NP-C SI scores, two different diagnostic approaches were applied in two separate groups of unrelated patients from 51 Spanish medical centers (n = 118 in both groups). From Jan 2010 to Apr 2012 (Period 1), patients with =2 clinical signs/symptoms of NP-C were considered ''suspected NP-C'' cases, and NPC1/NPC2 sequencing, plasma chitotriosidase (ChT), CCL18/PARC and sphingomyelinase levels were assessed. Based on findings in Period 1, plasma ChT and CCL18/PARC, and NP-C SI prediction scores were determined in a second group of patients between May 2012 and Apr 2014 (Period 2), and NPC1 and NPC2 were sequenced only in those with elevated ChT and/or elevated CCL18/PARC and/or NP-C SI =70. Filipin staining and 7-ketocholesterol (7-KC) measurements were performed in all patients with NP-C gene mutations, where possible. Results: In total across Periods 1 and 2, 10/236 (4%) patients had a confirmed diagnosis o NP-C based on gene sequencing (5/118 4.2%] in each Period): all of these patients had two causal NPC1 mutations. Single mutant NPC1 alleles were detected in 8/236 (3%) patients, overall. Positive filipin staining results comprised three classical and five variant biochemical phenotypes. No NPC2 mutations were detected. All patients with NPC1 mutations had high ChT activity, high CCL18/PARC concentrations and/or NP-C SI scores =70. Plasma 7-KC was higher than control cut-off values in all patients with two NPC1 mutations, and in the majority of patients with single mutations. Family studies identified three further NP-C patients. Conclusion: This approach may be very useful for laboratories that do not have mass spectrometry facilities and therefore, they cannot use other NP-C biomarkers for diagnosis
Efeitos anestésicos da administração intranasal ou intramuscular de cetamina S+ e midazolam em pomba-rola (Streptotelia sp.)
A via intranasal é uma boa alternativa por ser indolor e de fácil aplicação em aves. O objetivo deste estudo foi avaliar os efeitos anestésicos da associação de cetamina S+ e midazolam pela via intranasal (IN) em comparação com a via intramuscular (IM) em pombos. Foram utilizados 12 pombos alocados em dois grupos com 15 dias de intervalo, os quais receberam: grupo IM: 20 mg/kg de cetamina S+ associada a 3,5 mg/kg de midazolam pela via intramuscular (musculatura do peito); e grupo IN, mesmo protocolo, porém, pela via intranasal. Os parâmetros avaliados foram: período de latência, tempo de duração em decúbito dorsal, tempo total de anestesia, tempo de recuperação e efeitos adversos. Para a análise estatística, empregou-se o teste de Wilcoxon, com as diferenças consideradas significativas quando P<0,05. O período de latência obtido foi de 30 [30-47,5] e 40 [30-50] segundos para IM e IN, respectivamente. O tempo de duração de decúbito dorsal foi de 59 [53,25-65] e 63 [37-71,25] minutos para IM e IN, respectivamente, sem diferenças significativas entre os grupos. Com relação à duração total de anestesia, foi observada diferença significativa, com 88 [86,25-94,5] e 68 [53,5-93] minutos para os grupos IM e IN, respectivamente. O tempo de recuperação foi mais curto no grupo IN (15 [4,25-19,5]) comparado ao IM (32 [28,25-38,25] minutos). Dois animais de cada grupo apresentaram regurgitação na fase de recuperação. Conclui-se que a administração de cetamina S+ e midazolam pela via intranasal é um método aceitável de administração de fármacos e produz anestesia rápida e eficaz em pombos
Digital System For Detection And Classification Of Electrical Events
This paper describes an algorithm to detect and classify electrical events related to power quality. The events detection is based on monitoring the statistical characteristics of the energy of the error signal, which is defined as the difference between the monitored waveform and a sinusoidal wave generated with the same magnitude, frequency, and phase as the fundamental sinusoidal component. The system novel feature is the event recognition based on a neural network that uses the error signal as input. Multi-rate techniques are also employed to improve the system operation for on-line applications. Software tests were performed showing the good performance of the sytem. © 2005 IEEE.54175420Arrillaga, J., Watson, N.R., Bollen, M.H.J., Power quality following deregulation (2000) Proc. of the IEEE, 88 (2), pp. 246-261. , FebDugan, R.C., McGranaghan, M.F., Beaty, H.W., (1996) Electrical Power Systems Quality, , McGraw-HillPoisson, O., Rioual, P., Meunier, M., Detection and measurement of power quality disturbances using wavelet transform (2000) IEEE Trans. on Power Delivery, 15 (3), pp. 1039-1044Ibrahim, W.R.A., Morcos, M.M., Artificial intelligence and advanced mathematical tools for power quality applications: A survey (2002) IEEE Trans. on Power Delivery, 17 (2), pp. 668-673Santoso, S., Grady, W.M., Powers, E.J., Lamoore, J., Bhatt, S.C., Characterization of distribution power quality events with fourier and wavelet transforms (2000) IEEE Trans. on Power Delivery, 15 (1), pp. 247-254Ribeiro, M.V., Duque, C.A., Romano, J.M.T., An improved method for signal processing and compression in power quality evaluation (2004) IEEE Trans. on Power Delivery, 19 (2), pp. 464-471Ramos, F.R., Ribeiro, M.V., Romano, J.M.T., Duque, C.A., On signal processing approach for event detection and compression applied to power quality evaluation (2002) Proc. of the IEEE 10th International Conference on Harmonic and Quality of Power, pp. 133-138Lippmann, R.P., A critical overview of neural network pattern classifiers (1991) IEEE workshop on Neural Network for Signal Processing, pp. 266-275Santoso, S., Powers, E., Grady, W.M., Parsons, A.C., Power quality disturbance waveform recognition using wavelet-based neural classifier-part 1: Theoretical foundation (2000) IEEE Trans. on Power Delivery, 15 (1), pp. 222-228Santoso, S., Powers, E., Grady, W.M., Parsons, A.C., Power quality disturbance waveform recognition using waveletbased neural classifier-part 2: Application (2000) IEEE Trans. on Power Delivery, 15 (1), pp. 229-23
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