In this study, a simulation on management of battery temperature, which is a significant problem for electric vehicles, has been made. Battery temperatures can reach up to 50 oC if not checked during quick charging and discharging processes. Such situation shortens the lifetime of battery and also increases the temperature inside the cabin. More importantly, they can be dangerous. LMS Amesim software and WLTC driving cycle have been used for the simulation. Three battery packages have been used in simulations. Temperature of the battery have been checked at three different ambient temperatures (25 oC, 30 oC, 35 oC). During the test, it has been enhanced to keep the battery temperature below 35 oC under all conditions. Air-conditioner of the vehicle has been used to cool the batteries. When the temperature increased, the air-conditioner automatically checked the operating cycle of the compressor and cooled the batteries by means of constant air flow. In conclusion, the simulation has kept the battery temperature at desired level at ambient temperatures of 25 oC and 30 oC. At ambient temperature of 35oC, battery temperature increased up to 35.2oC.
In recent years, it is essential to discover safe and effective antibacterial drugs because of rising antibiotic-resistant bacteria. In traditional medicine, plant extracts including biological active components have been used for therapeutic purposes. We aimed to evaluate the antimicrobial properties of the aqueous seed extract of Momordica charantia (M.charantia) on 9 pathogenic bacteria. The antibacterial activity of the extract was assessed against strains using disc diffusion and broth microdilution tests. A total of 21 constituents were identified from M.charantia seeds. Alcohols, esters, aldehydes, monoterpenes, and monoterpenoids were found as the prevalent groups. The seed extract showed the greatest antimicrobial activity on B.subtilis and S.aureus with an inhibition zone diameter (IZD) value of 15.75±0.50 mm and 15.25±0.957 mm, respectively. The minimum inhibitory concentration (MIC) and the minimum bactericidal concentration (MBC) test results ranged from 12.5 to 100 (mg/mL). The seed extract of M.charantia could be used for the cure of bacterial infections as a new natural drug.
This numerical and statistical study deals with the evaluate the effects of forces and material types on safety factor and equivalent alternating stress of beams made of metal materials. Numerical calculations were performed by using ANSYS Workbench software. Design of analyzes based on different control factors was determined utilizing Taguchi L9 orthogonal array design consisting of two control factors consisting of three levels. The first and second control factors were chosen as applied force and material type, respectively. In the finite element modeling, beams with clamped-free boundary conditions were considered. Determination of optimal levels of all variable control factors was found using signal-to-noise ratio analysis. The contribution rate and significance level of all control factors on the safety factor and equivalent alternating stress were calculated utilizing analysis of variance. According to the results calculated from this study, the optimum results for safety factor and equivalent alternating stress of beams were obtained by using the first levels of all control factors. While the increase in the applied force values causes a decrease in the safety factor, it leads to an increase in the equivalent alternating stress.
In this study, pomegranate (Punica granatum L.) leaf extract and 2% (w/v) aqueous solutions isolated by SFE extraction and microwave extraction were used to create silver nanoparticles (AgNPs). The pomegranate was grown in Turkey's Eastern Black Sea region. AgNO3 solution (0.25, 0.5, and 1 mM) received separate additions of 0.1 and 0.2 mL extract before being microwave-irradiated. Ag nanoparticles made using green chemical techniques were characterized by UV-Visible, , XRD, TEM, Zetasizer and FT-IR. By analyzing the plasmon resonance absorption (SPR) spectra by the UV-Visible technique, the ideal circumstances were identified. The face-centered cubic crystalline silver nanostructures' lattice planes (111), (200), (220), and (311) show that the different Bragg reflection peaks occurred at 2 values of 38.1°, 44.3°, 64.6°, and 77.6°. The average particle size of Ag nanoparticles produced by microwave extraction in an aqueous medium was 86.020.5788 nm, the zeta potential was -140.777 mV, and the polydispersity index was 0.4050.224, according to the results of zeta-Sizer study. The UV-vis absorption spectra of the AuNP solutions, which were kept in a refrigerator, barely altered and remained constant for roughly 4-5 months.
Abstract: At the core of gene therapy lies the use of viral vectors, engineered viruses serving as delivery vehicles to transport restorative genes into target cells. Therefore, the effect of 7 different rAAV serotypes and their different quantites was analysis here on human prostate cancer cell lines PC-3 and DU-145, which are hard to be transfected. PC-3 and DU-145 cell lines were infected with different multiplicity of infection (MOI) ratios of 7 rAAV serotypes, AAV 2/1, 2/2, 2/3, 2/5, 2/6, and 2/9, which were expressing the green fluorescent protein (GFP) transgene driven by the CMV promoter. The transduction efficiency was analyzed by fluorescent microscopy and flow cytometry. In addition, the cell viability of the infected cells was measured by Muse Cell Analyzer at the MOI of 10.000. rAAV 2/2 and rAAV 2/6 have the most significant ability to transduce PC-3 cells. Although rAAV 2/2 and rAAV 2/6 were also the most transducing serotypes in the DU-145 cell line, the transduction rates did not exceed 20% in this cell line. On the other hand, after viral infection, no difference in cell viability was observed in PC-3 cells compared to the mock group, while a significant decrease in viability was observed in DU-145 cells. This study determined the transduction efficiency of 7 different rAAV serotypes on human cancer cell lines. While rAAV 2/2 and rAAV 2/6 serotypes achieved more than 60% transduction efficiency in PC-3 cells, the transduction efficiency could not exceed 20% in DU-145 cells. Overall, this study demonstrated that rAAV 2/2 and rAAV 2/6 could mediate the expression of a transgene with a high transduction efficiency.
Recently several resources of sustainable and clean energy have been developed, such as solar panels, wind turbines, and others. The Solar Chimney Power Plant (SCPP), which is among those harnessing solar power where a stream of air is induced by adding heat through solar irradiation using the greenhouse effect, is rarely utilized for generating power. The hot air flows through the chimney under the effect of buoyancy force which in turn drives a vertical axis wind turbine. Although this technique is investigated by many reports, unfortunately, it is still in the laboratory phase. However, it might be an optimal solution for zones where operating other techniques is not efficient for various reasons. In this project, an SCPP prototype was built and tested in Anbar, a central province in Iraq. The impact of various design parameters on power generation was assessed. The experimental results prove the feasibility of SCPPs for generating electricity at low costs and the suitability of building SCPPs in countries technologically less developed with specific weather conditions and scarcity in water resources that are normally needed for cleaning solar panels, for example.
Reliable and efficient mixing in microfluidic systems is crucial for various applications such as molecular diagnostics, DNA hybridization, microreactors and nanoparticle synthesis. However, achieving adequate mixing at the microscale is challenging due to the fact that flow regime in microfluidics is laminar that is characterized by low Reynolds numbers. In an attempt to tackle this challenge, active and passive strategies have been utilized to enhance mixing. Passive techniques mainly rely on the interaction between fluid and channel geometry in order to extend the interface between the components of the fluid by inducing transversal flows. Passive methods have shown their simplicity over the active methods in microfluidics by simply controlling the channel geometry and flow configurations without involving any complex external forces and components. Based on this, our work presents a passive micromixer design with trapezoidal grooves placed at the bottom of the serpentine channels. The grooves induce periodic pressure drops along the channel which create staggered transversal vortices in orthogonal directions which disturbs the symmetries in the flow that results in stirring. These combined effects result in an enhanced mixing performance especially at higher flow rates. The results suggest that the design could be integrated into lab-on-a-chip systems to achieve enhanced mixing of biological or chemical components with reduced footprint, complexity and cost.
Variable Renewable Energy Resources (VRES), especially wind and solar power, are known for their intermittent, uncertain, and low-energy-density nature. The increasing adoption of these stochastic sources presents irregularity in the net load in the power system network; therefore, it poses a challenge to the reliable operation of power systems. Consequently, there's an increasing need for power system flexibility to cope with VRES-related challenges. Flexibility planning will therefore be a crucial aspect for power system management, particularly as the penetration of VRES continues to rise. To reach this objective, the diversification of flexibility options emerges as a promising solution. Various strategies are prominent in the literature for enhancing power system flexibility to adapt to VRES variability. These include the utilization of flexible generators, adjusting load profiles through demand-side management, integrating energy storage systems and electric vehicle batteries, developing grid infrastructure, using surplus energy for various daily applications (e.g., heating), and the implementing of curtailment practices. Demand-side management and energy storage, for example, offer valuable flexibility by allowing consumers to adjust their consumption patterns to electricity supply and demand fluctuations. Additionally, flexible generation technologies like gas turbines and combined heat and power systems provide rapid responses, aiding grid balance during high VRES output variability periods. Overall, this paper provides an overview of power system flexibility, exploring the various flexibility resources available to VRES-related challenges. Finally, this paper emphasizes the importance of continued innovation in developing new flexibility solutions to meet the growing demand for sustainable and reliable power systems.
This article is about examining the solutions of the (3+1) conformal time derivative generalized q-deformed Sinh-Gordon equation. The integration method used to reach the solutions of the equation is the generalized exponential rational function method. In this article, the process of examining the solutions goes step by step, first the basic steps of the proposed method are given, then the reduction of the equation is examined, and then the solutions are obtained by applying the method. To perceive the physical phenomena, 2D and 3D graphical patterns of some of solutions obtained in this study are plotted by using computer programming. The worked-out solutions ascertained that the suggested method is effectual, simple and direct.
In this study, molecular structure, spectroscopic, and electronic features of 6-chloroquinoline were studied via experimental techniques of FT-IR, UV-Vis, 1H and 13C NMR and electronic structure theory calculations with DFT/B3LYP method and 6-311++G(d,p) basis set combination. The vibrational modes were assigned based on the potential energy distributions through the VEDA program. The gauge-invariant atomic orbital method was utilized to obtain nuclear magnetic resonance properties and chemical shifts and provided in comparison to the experimental data. Frontier molecular orbital properties and electronic absorption spectral properties, hence UV-Vis spectrum, were obtained by TD-DFT modeling. The chemical reactivity of the compound was explored based on frontier molecular orbital properties, molecular electrostatic potential surface characteristics, and atomic charge analysis. It has been achieved that the chlorine substitution significantly alters the reactive nature of quinoline moiety.
We describe here the first results of catalytic performance of in situ prepared [Pd(O2CCH3)2] / 1,3-bis(ferrocenylmethy)imidazolinium chloride involving a saturated imidazole ring were successfully employed to Suzuki cross-coupling reactions of different aryl bromides (bromobenzene, 2-bromobenzonitrile, 2-bromotoluene, p-bromobenzaldehyde, p-bromoacetophenone, p-bromoanisole, p-bromotoluene and p-bromobenzotrifluoride) with phenylboronic acid under the optimum conditions. Optimum conditions were choosed, as 24 h, 80 oC, K2CO3 as base, dioxane as solvent, 1,3-bis(ferrocenylmethy)imidazolinium chloride as auxiliary ligand. Under these optimum conditions, 2- bromobenzonitrile, p-bromoacetophenone and p- bromobenzaldehyde react with phenyl boronic acid in moderate yields 57%, 50%, and 46% respectively. Catalytic experiments showed that [Pd(O2CCH3)2] / 1,3-bis(ferrocenylmethy)imidazolinium chloride catalytic system was moderately effficent in the Suzuki cross coupling reaction of aryl bromides in dioxane.
This is the first study on the investigation of phenolic compounds of methanol extract (ME) of Sagina apetala and examination of its cell-based antioxidant and antibacterial activity against Staphylococcus aureus and Pseudomonas aeruginosa. The determination of phenolic compounds of ME was performed by LC-MS/MS and 25 main compounds were identified. For the cell-based antioxidant activity of ME, Vero cell line (Cercopithecus aethiops kidney epithelial, Monolayer) was used as the model cell line and ME was showed 61.22% cell viability. ME, also showed insignificant antibacterial activity against both gram-positive and gram-negative bacteria. In conclusion, this study in the species provides the basic data for future studies for the species.
Agro-wastes are recognised as a carbon-rich source, which can be converted into value-added products in sustainable development. In this study, the effect of pH, contact time, initial concentration, and ionic strength were evaluated in Methylene Blue (MB) adsorption by using an activated carbon obtained from pyrolysed almond (PAS) and walnut shells (PWS). The characterisation of PAS and PWS was conducted by SEM-EDX, FT-IR and BET analysis. The removal efficiency of 6 mg/L initial MB concentration improved from 10.6% to 50.42% for PAS, when the adsorbent dose was increased from 0.5 g to 3.5 g in 1 L dye solution. It also improved from 14.8% to 48.7% for PWS, when the adsorbent dose was increased from 0.5 g to 3.5 g. The adsorption fits well with the Freundlich isotherm model and the second-order kinetic model is more favourable. In the adsorption experiments using PWS, 48% removal efficiency was obtained in the absence of NaCl. Depending on the increasing NaCl concentration, the removal efficiencies showed a decrease. 36% removal efficiency was obtained for PWS when 2500 mg/L NaCl was used. In the adsorption experiments using PAS, 40% removal efficiency was obtained in the absence of NaCl. When 500 mg/L NaCl was used, the maximum removal efficiency improved to 48%. However, with the increase in ionic strength, removal efficiencies decreased to approximately 39%. This study revealed that PAS and PWS could be used effectively instead of commercial activated carbon, which also provides an advantageous option from an economic point of view.
In this study, ECH-PCCB structures were used for the first time as mini-column filling material in a FIA added to the AAS for the pre-concentration of cadmium ions. This method is simple, accurate and highly selective for pre-concentration of Cd(II) in water samples. Surface analysis of ECH-PCCB was performed by scanning electron microscopy. Elution of Cd(II) ions from the column was achieved with 0.1 mol L-1 EDTA. Some parameters affecting the pre-concentration of Cd(II) ions, such as sample loading time, sample flow rate, eluent type and concentration, pH, and interference ions were investigated. Under the optimized parameters, the enrichment factor was 23 and the detection limit of the method was 16 µg L-1 as a result of pre-concentration studies with ECH-PCCB.
Energy planning in a hydro power station (HPS) is essential for reservoir management, and to ensure efficient operation and financial usage. For robust energy planning, operators should estimate next day energy generation capacity correctly. This paper investigates use of a robust neural network model to estimate maximum next day energy generation capacity by using reservoir inflow rates for the previous four days, the current level of water in the reservoir, and the weather forecast for the Darıca-2 HPS in Ordu Province, Turkey. The generated energy in an HPS is directly dependent on the level of stored water in the reservoir, which depends on reservoir inflow. As the level of water in a reservoir varies during the year depending on climatic conditions, it is important to be able to estimate energy generation in an HPS to operate the HPS most effectively. This paper uses reservoir inflow data that has been collected daily during 2020 for the training phase of a neural network. The neural network is tested using a data set that has been collected daily during the first four months of 2021. Used neural network structure is called as LWNRBF (Linear Weighted Normalized Radial Basis Function) network, which is developed form of RBF network. In order to be able to be created valid model, LWNRBF network is trained with a two-pass hybrid training algorithm. After the training and testing stages, average training and testing error percentages have been obtained as 0.0012% and -0.0044% respectively.
The parafree Leibniz algebras are a special class of Leibniz algebras which have many properties with a free Leibniz algebra. In this note, we introduce the structure of parafree Leibniz algebras. We survey the important results in parafree Leibniz algebras which are analogs of corresponding results in parafree Lie algebras. We first investigate some properties of subalgebras and quotient algebras of parafree Leibniz algebras. Then, we describe the direct sum of parafree Leibniz algebras. We show that the direct sum of two parafree Leibniz algebras is a Leibniz algebra. Furthermore, we prove that the direct sum of two parafree Leibniz algebras is again parafree.
During Covid-19, there has been a requirement of a distributed architecture for contact-less and available smart application which deploys in personal mobile devices. However; the single-layer architecture of the other similar applications in the literature, has not been met the user requirements according to the preliminary tests. Moreover, the conventional ones offer a high-cost architecture. To overcome these challenges; Software as a service (SaaS) has been more preferred for the integration of distributed applications in the cloud market in a cost-efficient way. Therefore; we propose an Attendance as a Service; i.e. new multi-layered system which includes such technologies as QR code, face recognition and fingerprint to meet the reliability and contact-less performing. In the performance evaluation, the proposed system serves with lower delay and higher scalability when compared to conventional ones. It has been observed that the multi-layered structure provides 8 milliseconds of gain in delay compared to the traditional one and overcomes the students' inability to attendance due to server density.
The Atom-bond-connectivity index ABC of a graph G is determined by d_i and d_j. In this paper, sharp results for the general ABC index which has chemical applications are found using different methods. These new results for ABC inex are investigated in terms of its edges, its vertices and its degrees. In particular, some relations for general ABC index is obtained involving different topological indices; Randic index, Zagreb index, Harmonic index and Narumi-Katayama index. Indeed, general ABC index are improved by the help of the maximum annd minimum degrees.
Machine learning (ML) is a prominent and extensively researched field in the artificial intelligence area which assists to strengthen the accomplishment of classification. In this study, the main idea is to provide the classification and analysis of ML and Ensemble Learning (EL) algorithms. To support this idea, six supervised ML algorithms, C4.5 (J48), K-Nearest Neighbor (KNN), Logistic Regression (LR), Support Vector Machine (SVM), Naive Bayes (NB) and One Rule (OneR) in addition the five UCI Datasets of ML Repository, are being applied that demonstrates the robustness and effectiveness of numerous approaches. In this paper, a voting-based ensemble classifier has been proposed along with two base learners (namely, Random Forest and Rotation Forest) to progress the performance. Whereas, for analytical procedures, significant parameters have been considered: Accuracy, Area under Curve (AUC), recall, precision, and F-measure values. Hence, the prime objective of this research is to obtain binary classification and efficiency by conducting the progress of ML and EL approaches. We present experimental outcomes that validate the effectiveness of our method to well-known competitive approaches. Image recognition and ML challenges, such as binary classification, can be solved using this method.
Understanding of plastic deformation mechanisms and/or microstructural changes of metals and alloys at elevated temperatures makes possible to control their hot working behavior and final mechanical properties. The aim of the present work is to optimize the conditions to achieve maximum ductility in terms of initial grain size, process temperature and deformation rate. In this study, the OFHC (oxygen-free high conductivity) copper samples of different initial grain sizes (25, 50, 100 and 150 μm) were subjected to tensile tests at temperatures 300, 405, 500 and 700 °C (0.42 - 0.75 Tm) and cross-head speeds of 1, 2, 5, 10, 20 and 50 mm/min (strain rates of 5.6x10-4 - 2.8x10-2 s-1). Experimental results indicated that particular conditions (initial grain size of 50 µm; 700 °C of working temperature and 5.6x10-3 s-1 of strain rate) should be provided in terms of process temperature and deformation rate depending upon initial grain size for dynamic recrystallization and also maximum ductility.
