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1 decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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461
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
Published 2018“…Results indicate that: 1) the proposed adaptive single modality compression scheme outperforms conventional compression methods by 13.24% and 43.75% reductions in distortion and processing time, respectively; 2) the proposed adaptive multiple modality compression further decreases the distortion by 3.71% and 72.37% when compared with the proposed single modality scheme and conventional methods through leveraging inter-modality correlations; and 3) adaptive multiple modality compression demonstrates its efficiency in terms of energy consumption, computational complexity, and responding to different network states. …”
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462
Docosahexaenoic Acid, a Key Compound for Enhancing Sensitization to Drug in Doxorubicin-Resistant MCF-7 Cell Line.
Published 2023“…In addition, it led to an increase in doxorubicin accumulation and triggered apoptosis by arresting the cell cycle at the G2/M phase. Other observed effects included a decrease in the multi-drug resistance (MDR) carrier P-glycoprotein (P-gp) and TG2, a tumor survival factor. …”
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463
Inhibition of p90 ribosomal S6 kinase potentiates cisplatin activity in A549 human lung adenocarcinoma cells
Published 2020“…The combination of cisplatin and BI-D1870 also resulted in the inhibition of LC3 II to LC3 I expression when compared to BI-D1870. …”
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464
7-O-methylpunctatin, a novel homoisoflavonoid, inhibits phenotypic switch of human arteriolar smooth muscle cells
Published 2019“…MP also attenuated adhesion of THP-1 monocytes to microVSMCs, abolished FBS-induced expression of MMP-2, MMP-9, and NF-?…”
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465
Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
Published 2020“…Reported accuracy and F1 score have reached both 100% for the WHITED dataset, 99.79% and 99.76% for the REDD dataset, and up to 99.41% and 98.93% for the ACS-f2 dataset, respectively. …”
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466
Impact of the COVID-19 pandemic on sexually transmitted infection testing and diagnosis in Lebanon: A retrospective chart review
Published 2024“…Post-COVID-19 onset, a total of 1350 VCT services and 406 medical consultations were provided, an overall 45 % decrease compared with pre-COVID-19 onset. The prevalence pre-COVID-19 onset of HIV, syphilis, HBV, and HCV was 0.8 %, 0.3 %, 0.2 %, and 0.1 %, respectively, and post-COVID-19 onset 1.2 %, 0.7 %, 0.3 %, and 0.3 %, respectively. …”
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467
Intercalation of ionic liquids into bentonite: Swelling and rheological behaviors
Published 2016“…The results from particle sizes and Zeta potential measurements have shown that bentonite intercalated with IL-1 and IL-2 are the most effective in decreasing the overall repulsive forces and increasing the attractive forces on the bentonite surface. …”
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468
Does pharmacist-supervised intervention through pharmaceutical care program influence direct healthcare cost burden of newly diagnosed diabetics in a tertiary care teaching hospita...
Published 2016“…Results Friedman test identified significant differences in direct healthcare cost of test 1 (p < 0.001) and test 2 (p < 0.001) groups patients. …”
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469
Demographic characteristics, laboratory features and complications in 346 cases of brucellosis: A retrospective study from Qatar
Published 2024“…Preventive measures and community awareness particularly among high-risk groups will help in decreasing the prevalence of the disease and its aftereffects.…”
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473
Environment Degradation and Economic Growth in the Qatar Economy: Evidence from a Markov Switching Equilibrium Correction Model
Published 2016“…This variable is employed as second proxy of environment quality measures. This data set used is a quarterly data and covers the period 1975Q1 to 2007Q4 for variables used for ecological footprint equation and covers the periods 1980Q1 to 2010Q4 for the CO2 emissions equations variables. …”
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Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
Published 2024“…This study proposes a stacked model by integrating Extra tree and XGBoost (eXtreme Gradient Boosting) regressor to precisely relate the sensitivity of the ZnO-based sensor to the nanocomposite's chemistry, H2 concentration, and temperature. The model's accuracy is superior to that of conventional artificial neural networks, achieving outstanding prediction results with mean absolute error (MAE) = 0.11, mean squared error (MSE) = 0.31, mean absolute percentage error (MAPE) = 1.14%, and R-squared (R2) = 0.9994 based on 208 actual sensor sensitivities. …”
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