Combining several low-calorie sweeteners in a food is a common strategy for reducing caloric sweeteners. The effects of binary sweetener mixtures on sweetness enhancement and sweet–bitter taste receptor interactions,...
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With the tremendous increase in the photovoltaic (PV) power plants world-wide remarkable decreases in their installation prices per watt are attained mainly due to economic scale effect. This brings questioning to inc...
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A previous 2D ultrasound study (R.A. Malkin et al., 2001) suggested that there is relaxation of the myocardium after defibrillation. However, that 2D study could not measure activity occurring within the first 33 ms f...
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A previous 2D ultrasound study (R.A. Malkin et al., 2001) suggested that there is relaxation of the myocardium after defibrillation. However, that 2D study could not measure activity occurring within the first 33 ms following the shock. Thus, the objective of our study is to determine the left ventricular (LV) geometry during this period. Biphasic defibrillation shocks were delivered to seven dogs. 1D short-axis ultrasound images of the LV cavity were acquired, the boundary of the anterior and posterior endocardial walls was extracted and the distance between them computed from 32 ms before to 32 ms after the shock. The normalized mean pre- and post-shock slopes were 0.2 /spl plusmn/ 2.2 and 3.3 /spl plusmn/ 7.9 %/10 ms, respectively. The post-shock LV diameter slope is positive in the first 32 ms following both successful and unsuccessful defibrillation shocks (p<0.05). Therefore, our results confirm that the bulk of the myocardium is relaxing immediately after a defibrillation shock.
Climate change is becoming an increasingly significant issue in Africa, and the need for climate resilience assessment has intensified. Dar es Salam is one of Africa's emerging megacities. With a population of ove...
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Fluoroscopy is critical for real-time X-ray visualization in medical imaging. However, low-dose images are compromised by noise, potentially affecting diagnostic accuracy. Noise reduction is crucial for maintaining im...
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Many individuals now trade online utilizing trading software in the digital world. Binomo is one of Indonesia's most popular trading platforms. This is because some influencers made several promises to Binomo cust...
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Many individuals now trade online utilizing trading software in the digital world. Binomo is one of Indonesia's most popular trading platforms. This is because some influencers made several promises to Binomo customers. Since many customers were deceived, this case became quite popular. This study was executed to see how Indonesians felt about the Binomo application after the case went viral. The solution taken was in the form of sentiment analysis because there had been no previous research on sentiment analysis that discussed the Binomo case. The data was scanned using Netlytic tools, a cloud-based text and social network analyzer capable of identifying any talks on social media sites such as Twitter. The sentiment analysis of Binomo trading tweets by using the Multi-Perspective Question Answering lexicon utilized the KNIME tool. But unfortunately, the accuracy of sentiment analysis results is low. Furthermore, the Support Vector Machine technique is also being conducted. The Term Frequency-Inverse Document Frequency method is applied to perform feature extraction whilst the chi-square approach is utilized to identify features that are thought to be useful for inclusion in the classification process and to exclude features that are irrelevant to the target class. The obtained accuracy is 86%. The study proposes that words from the algorithm's outputs can be utilized to improve the quality of sentiment analysis using the lexicon. As an outcome of the algorithm, positive and negative terms are added to the lexicon, increasing the accuracy of sentiment analysis using the new vocabulary from 58.984% to 71.146%.
Background: Duchenne Muscular Dystrophy (DMD) is an X-linked recessive disorder with its primary insult on the skeletal muscle. Severe muscle wasting, chronic inflammation and fibrosis characterize dystrophic muscle. ...
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Background: Duchenne Muscular Dystrophy (DMD) is an X-linked recessive disorder with its primary insult on the skeletal muscle. Severe muscle wasting, chronic inflammation and fibrosis characterize dystrophic muscle. Here we identify dysregulated pathways in DMD utilizing a co-expression network approach as described in Weighted Gene Co-expression Network Analysis (WGCNA). Specifically, we utilize WGCNA's "preservation" statistics to identify gene modules that exhibit a weak conservation of network topology within healthy and dystrophic networks. Preservation statistics rank modules based on their topological metrics such as node density, connectivity and separability between networks. Methods: Raw data for DMD was downloaded from Gene Expression Omnibus (GSE6011) and suitably preprocessed. Co-expression networks for each condition (healthy and dystrophic) were generated using the WGCNA library in R. Preservation of healthy network edges was evaluated with respect to dystrophic muscle and vice versa using WGCNA. Highly exclusive gene pairs for each of the low preserved modules within both networks were also determined using a specificity measure. Results: A total of 11 and 10 co-expressed modules were identified in the networks generated from 13 healthy and 23 dystrophic samples respectively. 5 out of the 11, and 4 out of the 10 modules were identified as exhibiting none-to-weak preservation. Functional enrichment analysis identified that these weakly preserved modules were highly relevant to the condition under study. For instance, weakly preserved dystrophic module D2 exhibited the highest fraction of genes exclusive to DMD. The highly specific gene pairs identified within these modules were enriched for genes activated in response to wounding and affect the extracellular matrix including several markers such as SPP1, MMP9 and ITGB2. Conclusion: The proposed approach allowed us to identify clusters of genes that are non-randomly associated with the disease. Furthe
The rates at which endothelial and smooth muscle cells in vessel walls should consume oxygen during blood transport along the length of a microvascular network are highly controversial. We examined the arteriovenous d...
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The rates at which endothelial and smooth muscle cells in vessel walls should consume oxygen during blood transport along the length of a microvascular network are highly controversial. We examined the arteriovenous distribution of oxygen consumption by a microvesselwallexposed to circumferentialwallstress and fluid shear stress. A model of retinal microcirculation in which a network that branched dichotomously at every bifurcation depended on both a flow conservation law and a modified Murray's law with a diameter exponent of 2.85 was used. Oxygen consumption was calculated from the integration of the number of branches multiplied by the consumption rates of the endothelial and smooth muscle cells per branch unit. The oxygen consumption by all of the microvessel walls was only about 1.9% of the totaloxygen consumption throughout the microvascular network, including the surrounding tissues. This result suggests that the oxygen that had diffused across the microvessel walls was mainly consumed by the surrounding tissues. Also, based on the circumferential and shear stresses, the microvascular flow and pressure control system is presumably designed to optimize the vessel tone of the arteriolar network so that the microcirculation can accommodate material exchange.
The aim of the present study was to perform a detailed morphological analysis of an injectable platelet rich fibrin after combination with two different particulate hydroxyapatite-based granules, a porous zirconia blo...
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The aim of the present study was to perform a detailed morphological analysis of an injectable platelet rich fibrin after combination with two different particulate hydroxyapatite-based granules, a porous zirconia block, and laser-textured zirconia or titanium surfaces. Blood samples were harvested from three participants to prepare the flowable injectable PRF in contact or not with particulate hydroxyapatite (Hap), bone mineral granules (DBBM), porous zirconia blocks, laser-textured titanium or zirconia surfaces. Optical and scanning electron microscopy (SEM) were used to evaluate the fibrin network density, fibrin fibers’ diameter, blood cells, and the interaction of PRF with the biomaterials. Histomorphometry of the flowable PRF was also performed using the hematoxylin–eosin staining protocol. Specimens were independently evaluated by two blinded and well-trained researchers in histomorphometry and microscopy. Particulate Hap and DBBM shown different morphological aspects by SEM analyses since DBBM revealed macro- and micro-scale pores while Hap revealed a dense structure. Hydroxyapatite and DBBM granules were entirely embedded by the fibrin-network in the presence of leukocytes and blood platelets. The zirconia porous structured was filled with PRF and its components. Also, the laser-structured zirconia or implant surfaces were entirely coated with the PRF fibrin network embedding leukocytes and blood platelets. Laser-textured titanium surfaces revealed macro- and micro-scale irregularities that increase the surface area and retention of the injectable PRF. Histomorphometric analyses revealed complementary details on the distribution of lymphocytes, red blood cells, and fibrin associated with platelet aggregation. The flowing and viscosity of an injectable platelet rich fibrin provided an agglomeration of synthetic or xenogeneic particulate bone substitutes and the coating of porous zirconia and textured implant surfaces as inspected by scanning electron microsc
Gold nanobowls (AuNBs) of ~5 nm in diameter grown on multiwalled carbon nanotubes (MWCNT) were successfully synthesized via galvanic replacement of silver nanoparticles (AgNPs). A 3-fold Raman signal enhancement of MW...
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Gold nanobowls (AuNBs) of ~5 nm in diameter grown on multiwalled carbon nanotubes (MWCNT) were successfully synthesized via galvanic replacement of silver nanoparticles (AgNPs). A 3-fold Raman signal enhancement of MWCNT was observed when Au replacement with Ag approached to completion. Moreover, AuNBs can be readily released from CNT surface via sonication with 1-octanethiol (OT). Our current method demonstrates a novel technique on producing smallest dimension of AuNBs so far simply achieved in wet chemical process.
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