Computational studies for the effective electrical conductivity of copper powder filled LDPE/LLDPE composites حسب Singh, R. P.

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Electrochemical reduction of carbon dioxide to hydrocarbons حسب Shawabkeh, Reyad

"…Global accumulation of CO2 in the atmosphere has become a significant environmental challenge in the past twodecades. …"
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Delay-Aware Scheduling and Resource Optimization with Network Function Virtualization حسب Qu, Long

"…We consider VNF transmission and processing delays and formulate the joint problem of VNF scheduling and traffic steering as a mixed integer linear program. Our objective is to minimize the makespan/latency of the overall VNFs' schedule. …"
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Is It Time We Changed How We Measure Length of Stay for Hip and Knee Arthroplasty? حسب McCulloch, Robert

"…Patient length of stay (LOS) for lower limb arthroplasty is a frequently quoted outcome measure. However, the use of mean values in days is prone to being skewed by outliers. …"
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Influence of Ag nanoparticles on state of the art MnO2 nanorods performance as an electrocatalyst for lithium air batteries حسب Awan, Zahoor

"…The first discharge curve of 5 wt% Ag MnO2 sample reached a maximum capacity of 3500 mAhg-1 at 2.0 V with a current density of 0.1 mA cm−2 with a plateau between 2.7 and 2.6 V. …"
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Low electro-synthesis potentials improve permselectivity of polymerized natural phenols in biosensor applications حسب Monti, Patrizia

"…Polymers were obtained by means of constant potential amperometry, instead of cyclic voltammetry, in order to achieve multiple polymerizations, hence decreasing the time of realization and variability. …"
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Optimization Of The Electronic And Optical Properties Of Tio2 For Clean Fuel Production حسب Fadlallah, Mohamed

"…However, the long-standing bottleneck is the fact that TiO2 is a wide band gap semiconductor, limiting its activation to the deep-blue and ultraviolet spectral region that contains but a small fraction (5%) of the incident solar energy. …"
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Superior non-invasive glucose sensor using bimetallic cuni nanospecies coated mesoporous carbon حسب Radwan, Ahmed Bahgat

"…The findings show an excellent response time of 4 s and linear range detection from 0.005 to 0.45 mM with a high electrode sensitivity of 11.7 ± 0.061 mA mM cm−2 in a selective medium…"
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Serum Magnesium and Cognitive Function Among Qatari Adults حسب Al-Ghazali, Kateba

"…Cognitive function was determined by measuring the mean reaction time (MRT) based on a computer-based, self-administered test. Multivariable linear regression was used to examine the relation between serum magnesium concentrations and cognitive function. …"
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Experimental results and modelling of corrosion-damaged concrete beams strengthened with externally-bonded composites حسب Elghazy M.

"…The FE models were able to capture the non-linear behavior of the strengthened beams. The interfacial bond stress-slip models at the fabric/matrix and composite/concrete interfaces and the number of composite layers had the most significant impact on the predicted response of the strengthened beams whereas the corrosion level, modeled as a reduction in the steel reinforcement cross-section, showed a slight effect on their performance. …"
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REVISITING THE IMPACT OF COMPETITION ON INDIVIDUAL AND SYSTEMIC BANKING STABILITY: EVIDENCE FROM DUAL BANKING SYSTEM حسب ERNANINGSIH, INDRIA

"…However, our results reveal a non-linear relationship between competition and systemic risk. …"
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Analysis of ferrite nanoparticles in the flow of ferromagnetic nanofluid حسب Muhammad N.

"…Magnetic dipole in presence of ferrites nanoparticles plays a vital role in controlling the thermal and momentum boundary layers. …"
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Assessment of the Impact of Anthropogenic Evolution and Natural Processes on Shoreline Dynamics Using Multi-Temporal Satellite Images and Statistical Analysis حسب Balakrishnan, Perumal

"…In general, there were more land gains than losses throughout the study period, and the shoreline increased by twice its previous length. The field survey confirmed the presence of sandy and rocky beaches, as well as a shoreline with protective structures such as natural limestone rocks and concrete reinforcement.…"
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Modeling and optimization of the crushing behavior and energy absorption of plain weave composite hexagonal quadruple ring systems using artificial neural network حسب Gowid S.

"…Within this paper, Artificial Neural Network (ANN) based models have been developed, optimized and compared using the Mean Squared Error (MSE) performance function, with the objective to precisely predict the high non-linear crushing behavior of the CHQRS at different angle configurations, as well as to optimize its internal hexagonal angle for a maximum energy absorption capability. …"
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Multi-generation energy system based on geothermal source to produce power, cooling, heating, and fresh water: Exergoeconomic analysis and optimum selection by LINMAP method حسب Khanmohammadi, Shoaib

"…Multi-criteria optimization indicates that using the Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) method based on suggested design variables, can reduce the unit cost of the product to 0.107 US$/kWh, and the exergy efficiency can be increased up to 15.86%.…"
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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Almomani F.

"…An ANN model consists of three layers, 15 neutrons and 260 epochs accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…"
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Optimal Proactive Resource Allocation at the Extreme Edge حسب El Khatib, Rawan F.

"…However, resource allocation in such environments typically follows a reactive approach, which can lead to increased delay and wasted resources. …"
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Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke حسب Al-Ali, Afnan

"…We compared our model's performance with conventional ANFIS and other machine learning techniques, including Support Vector Regressor (SVR), shallow Neural Networks, and Linear Regression. * Inputs: Real data about ischemic stroke represented by clinically relevant features. * Output: An innovative model for more accurate and efficient prediction of the second infarction growth after the first CT scan. * Results: The model achieved commendable statistical metrics, which include a Root Mean Square Error of 0.091, a Mean Squared Error of 0.0086, a Mean Absolute Error of 0.064, and a Cosine distance of 0.074.…"
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An optimized algorithm for optimal power flow based on deep learning حسب Qinggang, Su

"…The non-linear differential–algebraic equation and complex transient stability are determined using the deep neural network. …"
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Relationship between Asymmetry Indices, Anthropometric Parameters, and Physical Fitness in Obese and Non-Obese High School Students حسب Haddad, Monoem

"…Grouping participants based on body fat percentage had a significant effect on the AIs (p < 0.05) of the CMJ and YBT. …"
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