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Academic literature on the topic 'SM-DCM'
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Journal articles on the topic "SM-DCM"
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Pereira, Guilherme G., Guilherme T. Goldfeder, Fernanda L. Yamaki, Valéria M. C. Oliveira, and Maria Helena M. A. Larsson. "Myocardial velocities obtained by pulsed tissue Doppler in English Cocker Spaniels with dilated cardiomyopathy and congestive heart failure." Pesquisa Veterinária Brasileira 36, no. 9 (September 2016): 851–56. http://dx.doi.org/10.1590/s0100-736x2016000900010.
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Abstract: Dilated cardiomyopathy (DCM) is characterized by systolic myocardial dysfunction which is identified by low myocardial velocities obtained by pulsed tissue Doppler (PTD). However, increased preload is known to increase myocardial velocities which could overestimate myocardial function and turn dysfunction characterization into a challenge in dogs with DCM and congestive heart failure. To test the hypothesis that increased preload could hamper identification of low myocardial velocities in dogs with DCM and congestive heart failure the present study prospectively evaluated 32 English Cocker Spaniel dogs, being 16 with clinical DCM and 16 healthy for control purpose. The PTD analysis of regional velocities were performed in both longitudinal and radial myocardial displacements and systolic (Sm), early (Em) and late diastolic (Am) velocities were obtained in left ventricular free wall (LVFW) and interventricular septum (IVS). Peak radial subendocardial and subepicardial Sm velocities were lower in DCM group compared to control (0.065±0.018 vs. 0.102±0.020m/s and 0.059±0.014 vs. 0.094±0.025m/s respectively; p<0.001). Peak longitudinal Sm velocities were lower in basal and medial portions of LVFW (0.093±0.034 vs. 0.155±0.034m/s and 0.091±0.033 vs. 0.134±0.037m/s respectively; p<0.001) and IVS (0.063±0.021 vs. 0.136±0.039 and 0.066±0.026 vs. 0.104±0.032m/s respectively; p<0.001). Most of diastolic velocities were not significantly different between groups, although advanced myocardial disease and dysfunction are expected in DCM group. Reduction in systolic basal and medial longitudinal myocardial velocities and in radial myocardial velocities was the most significant PTD findings. Increased preload did not represent a problem to evaluate systolic dysfunction by PTD in English Cocker Spaniels with DCM, but influence of preload on assessment of diastolic velocities should be better elucidated.
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Shuwang, Xinze, Jun Sun, Yuqiu Wei, and Congcong Guo. "Size-Fractionated Filtration Combined with Molecular Methods Reveals the Size and Diversity of Picophytoplankton." Biology 10, no. 12 (December 6, 2021): 1280. http://dx.doi.org/10.3390/biology10121280.
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In this study, flow cytometry (FCM) and size-fractionated filtration, together with high-throughput molecular sequencing methods (SM), were used to investigate picophytoplankton. A particle separation filter and a higher-throughput sequencing method were used to evaluate the composition of a euphotic zone of picophytoplankton—especially picoeukaryotic phytoplankton—in the Western Pacific, and the results of flow cytometry, which is a classic way to detect picophytoplankton, were used as a standard to evaluate the reliability of the results of the SMs. Within a water column of 200 m, six water depths (5, 25, 50, 113 (DCM), 150, and 200 m) were established. In order to further study the particle size spectra of the picophytoplankton, size-fractionated filtration was used to separate water samples from each water depth into three particle size ranges: 0.2–0.6, 0.6–1.2, and 1.2–2 μm. A total of 36 (6 × 3 × 2) samples were obtained through PCR amplification of the 18S rRNA V4 hypervariable region and 16S rRNA, which were biased toward phytoplankton plastids, and then high-throughput sequencing was performed. The estimation of the picophytoplankton diameter relied on forward scattering (FSC) through FCM. The estimation of the vertical distribution and diameter of the picophytoplankton using the SM was consistent with the results with FCM; thus, we believe that the estimation of picophytoplankton composition with the SM has value as a reference, although the size-fractionated filtration seemed to cause some deviations. In addition to Prochlorococcus and Synechococcus, the SM was used to evaluate the composition of picoeukaryotic phytoplankton, which mainly included Prymnesiophycea (Haptophyta) (38.15%), Cryptophyceae (Cryptophyta) (22.36%), Dictyochophyceae (Chrysophyta) (12.22%), and Mamiellophyceae (Chlorophyta) (3.31%). In addition, the SM also detected Dinophyceae (Dinoflagellata) (11.69%) sequences and a small number of Bacillariophyceae (Diatom) (1.64%) sequences, which are generally considered to have large particle sizes. The results of the SM also showed that the picoeukaryotic phytoplankton were not evenly distributed in the euphotic layer, and the vertical distributions of the different picoeukaryotic phytoplankton were different. An analysis of correlations with environmental factors showed that temperature was the main environmental factor controlling the vertical distribution of picophytoplankton.
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Montalbo, Francis Jesmar Perez, and Alexander Arsenio Hernandez. "Classifying Barako coffee leaf diseases using deep convolutional models." International Journal of Advances in Intelligent Informatics 6, no. 2 (July 12, 2020): 197. http://dx.doi.org/10.26555/ijain.v6i2.495.
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This work presents the application of recent Deep Convolutional Models (DCM) to classify Barako leaf diseases. Several selected DCMs performed image classification tasks using Transfer Learning and Fine-Tuning, together with data preprocessing and augmentation. The collected dataset used totals to 4,667. Each labeled into four different classes, which included Coffee Leaf Rust (CLR), Cercospora Leaf Spots (CLS), Sooty Molds (SM), and Healthy Leaves (HL). The DCMs were trained using the partial 4,023 images and validated with the remaining 644. The classification results of the trained models VGG16, Xception, and ResNetV2-152 attained overall accuracies of 97%, 95%, and 91%, respectively. By comparing in terms of True Positive Rate (TPR), we found that Xception has the highest number of correct classifications of CLR, VGG16 with SM, and CLS, while ResNetV2-152 with the lowest TPR for CLR. The evaluated results indicate that the use of Deep Convolutional Models with an adequate amount of data, proper fine-tuning, preprocessing, and transfer learning can yield efficient classifiers for identifying several Barako leaf diseases. This work primarily contributes to the growing field of deep learning, specifically for helping farmers improve their diagnostic process by providing a solution that can automatically classify Barako leaf diseases.
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Nagrale, Mr Ashish. "Implementation of Single-Phase Differential Mode Inverter with Constant Input Power for PV System." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1659–66. http://dx.doi.org/10.22214/ijraset.2022.40087.
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Abstract: A buck-boost ac-ac converter with inverting and non-inverting operations is proposed. The non-inverting operation activity can be utilized to remunerate voltage hang, and altering activity can be utilized to repay voltage swell. Along these lines, the proposed converter as a unique voltage restorer is equipped for making up for both voltage hang and swell in a wide range. It’s essential exchanging cell is a unidirectional buck circuit, inferable from which it has no shoot-through concerns. It accomplishes safe substitution without utilizing RC snubbers or delicate recompense techniques. Further, it tends to be actualized with power MOSFETs without their body diodes directing, and for current freewheeling outside diodes of good converse recuperation highlights can be utilized to limit the opposite recuperation issues and significant. Keywords: Buck-Boost Converter, CCM, DCM, SM Controller Photovoltaic, Hysteretic Controller, MATLAB.
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Giona, Fiorina. "PEDIATRIC MASTOCYTOSIS: AN UPDATE." Mediterranean Journal of Hematology and Infectious Diseases 13, no. 1 (October 29, 2021): e2021069. http://dx.doi.org/10.4084/mjhid.2021.069.
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Mastocytosis is a rare clonal disorder, characterized by excessive proliferation and accumulation of mast cells (MC) in various organs and tissues. Cutaneous mastocytosis (CM), the most common form in children, is defined when MC infiltration is limited to the skin. Systemic mastocytosis (SM), the most common form in adults, is characterized by MC proliferation and accumulation in organs, such as bone marrow, lymph nodes, liver and spleen (1). Genetic aberrations, mainly the KIT D816V mutation, play a crucial role in the pathogenesis of mastocytosis, resulting in enhancing MC survival and subsequent accumulation in organs and tissues (2,3). CM includes 3 forms: solitary mastocytoma, maculopapular cutaneous mastocytosis (MPCM) and diffuse cutaneous mastocytosis (DCM). In the majority of children with CM, skin lesions regress spontaneously around puberty; unfortunately, in a few cases, it is not a self-limiting disease (4). Even if SM occurs occasionally, all children with mastocytosis require planned follow-up over time. Children with mastocytosis often suffer from MC mediator-related symptoms, the most common of which is itching, often triggered by rubbing the lesions. Management of pediatric mastocytosis is mainly based on strict avoidance of triggers. Treatment with H1 and H2 histamine receptor blockers on demand, and the availability of epinephrine auto-injectors for the patients to use in case of severe anaphylactic reactions are recommended.
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KANWAR, SHEFALI, MANOJ K. SHARMA, BIRBIKRAM SINGH, RAJ K. GUPTA, and WALTER GREINER. "DECAY OF 202Pb* FORMED IN 48Ca+154Sm REACTION USING THE DYNAMICAL CLUSTER-DECAY MODEL." International Journal of Modern Physics E 18, no. 07 (August 2009): 1453–67. http://dx.doi.org/10.1142/s0218301309013725.
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The decay of compound nucleus 202 Pb *, formed in entrance channel reaction 48 Ca +154 Sm at different incident energies, is studied by using the dynamical cluster-decay model (DCM) where all decay products are calculated as emissions of preformed clusters through the interaction barriers. The calculated results show an excellent agreement with experimental data for the fusion-evaporation residue cross-section σ ER together with the fusion-fission cross-section σ FF (taken as a sum of the energetically favored symmetric [Formula: see text] and near symmetric A=65–75 plus complementary fragments), and the competing, non-compound-nucleus quasi-fission cross-section σ QF where the entrance channel is considered not to loose its identity (and hence with preformation factor P0=1). The interesting feature of this study is that the three decay processes (ER, FF and QF) are quite comparable at low energies, ER being the most dominant, whereas at higher energies FF becomes most probable followed by ER and QF. The prediction of two fission windows, the symmetric fission (SF) and the near symmetric fission (nSF) whose contribution is more at lower incident energies, suggests the presence of a fine structure effect in the fusion-fission of 202 Pb *. This result is attributed to the shell effects (magic shells) playing effective role in the fragment preformation yields for 48 Ca +154 Sm reaction at lower excitation energies, giving rise to "shoulders", to an otherwise Gaussian FF mass distribution, responsible for the QF process. As a further verification of this result, absence of "shoulders" (hence, the QF component) in the decay of 192 Pb * due to 48 Ca +144 Sm reaction is also shown to be given by the calculations, in agreement with experiments. The only parameter of the model is the neck-length ΔR which shows that the ER occurs first, having the largest values of ΔR, and the FF and QF processes occur almost simultaneously at lower incident energies but the FF takes over QF at higher incident energies. In other words, the three processes occur in different time scales, QF competing with FF at lower incident energies.
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Izogo, Ernest Emeka, and Mercy Mpinganjira. "Digital content marketing consumption motives in the age of social media: an investigation of relational and monetary outcomes." Aslib Journal of Information Management, January 27, 2023. http://dx.doi.org/10.1108/ajim-07-2022-0347.
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PurposeAlthough digital content marketing (DCM) research and industry-wide expenditure is growing very rapidly owing to the positive outcomes associated with this new pull marketing strategy, research has not completely mapped how DCM activities can be optimized in the social media brand community context. This paper seeks to understand how social media DCM activities can be optimized to achieve greater relational and monetary outcomes for different products.Design/methodology/approachA structural equation modeling procedure was used to analyze 416 survey responses obtained from members of Facebook brand communities in South Africa.FindingsThe results reveal that social media DCM consumption motives exert significant differential effects on both relational and monetary marketing outcomes in search and experience product contexts while also demonstrating the mechanism through which social media DCM consumption motives lead to contributing social media engagement behaviors.Practical implicationsThe study findings call for the need for firms to understand the motives that drive the consumption of DCM in social media brand communities. Specifically, marketers of search products should deploy more of hedonic contents such as images while simultaneously keeping highly textual DCM to a minimum in Facebook brand communities as this works better for experience products. Finally, more authentic SM-DCM activities that effectively address the authenticity SM-DCM consumption motive can result from the DCM activities of social media opinion leaders and genuine consumer–brand interactions in the context of Facebook brand communities.Originality/valueThis paper broke new grounds in three unique directions in terms of: (1) the relative salience of SM-DCM consumption motives in enhancing WTP and different aspects of SMBE; (2) the contextual influence of product type on SM-DCM activities optimization and (3) the mechanisms that underlie the effects of SM-DCM consumption motives on contributing SMBE in the Facebook brand community context.
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Cao, Yalei, Jianjun Wang, Yangchao Liao, and Lihua Tang. "A Comprehensive Dynamic Continuous Model of Piezoelectric Stack Energy Harvesters under Arbitrary Excitation Considering Electrodes and Protective Layers." Journal of Physics D: Applied Physics, July 27, 2023. http://dx.doi.org/10.1088/1361-6463/aceb01.
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Abstract Piezoelectric stack energy harvesters, by virtue of the higher mechanical-to-electrical energy conversion capability in the d33 mode, have been used widely in various fields, such as railway system, roadway system, and human motion. Dynamic continuous models (DCMs) of piezoelectric stack energy harvesters can more accurately reflect the electromechanical behavior but are difficult to be established due to complex coupling between layers, particularly in the presence of arbitrary loads. The existing models often only considered harmonic excitations and often ignored electrodes and protective layers for simplicity. This paper proposed a comprehensive dynamic continuous model (DCM) of piezoelectric stack energy harvesters considering the electrodes and protective layers, which can be used to study the electromechanical performance of the energy harvester under both harmonic excitation and arbitrary excitation. Comparisons of the developed generic DCM with the analytical model (AM) based on piezoelasticity theory (a dynamic continuous model which only considers the harmonic excitation)and the simplified model (SM) (a static continuous model which ignores inertia force of piezoelectric stack) are presented, with good agreements. Furthermore, the experiment results of two shapes of piezoelectric stacks, including tube and circular, are used to further confirm the reliability of the proposed model. In addition, effects of the electrode and protective layers on the dynamic properties are analyzed and discussed.
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Choi, Eui-Young, Sung-Ai Kim, Chi-Young Shim, Se-Jung Yoon, Byoung Ho Lee, Byoung Wook Choi, Jong-Won Ha, Se-Joong Rim, and Namsik Chung. "Abstract 1978: Patterns of Late Gadolinium Enhancement are Associated with Ventricular Stiffness in Patients with Advanced Non-Ischemic Dilated Cardiomyopathy." Circulation 116, suppl_16 (October 16, 2007). http://dx.doi.org/10.1161/circ.116.suppl_16.ii_427.
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Background: In patients with advanced systolic heart failure, restriction of left ventricular (LV) filling or mechanical dyssynchrony rather than lower ejection fraction (EF) is more associated with poor prognosis. However, structural determinants of these parameters have not been fully studied. Objectives: We investigated whether patterns of late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) affect the ventricular mechanics and fillings in patients with non-ischemic dilated cardiomyopathy (DCM). Methods: Patients with markedly reduced systolic function (LVEF <35%) due to longstanding (> 6 months) non-ischemic DCM underwent CMR after comprehensive echo-Doppler evaluations. Intraventricular synchrony index was measured by standard deviation of time to peak longitudinal contractions (Ts-SD) in 12 LV segments. Patients with significant aortic regurgitation or atrial fibrillation were excluded. Results: Patients (n=49) could be divided into three groups according to LGE patterns as non-LGE group (n=18), non-midwall LGE group (n=13) and midwall LGE group (n=18). There were no differences in clinical characteristics, LV dimension, LVEF and Ts-SD among three groups. However, in terms of LV longitudinal mechanics, midwall LGE group was associated with higher E/Em and lower Am and Sm. Moreover, diastolic LV stiffness index (Ed), defined as E/Em/stroke volume (ml), was significantly higher in midwall LGE group compared with non-LGE group (0.85±0.51 vs. 0.41±0.21, p=0.002), and non-midwall LGE group (0.85±0.51 vs. 0.46±0.31, p=0.008). Conclusions: Presence and patterns of LGE is associated with ventricular filling and stiffness in advanced non-ischemic dilated cardiomyopathy.