bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the effect of silver nanoparticles and bio-polymer on modified Nigeria bentonite rheological properties
Authors: Okunoye K. W. , Ogundile O. P. , Adeyemo K. K. , Badmus F. O. , Arijaje T. E. , Ajayi S. O. 
Published: January 2021

Abstract
During drilling mud preparation, large quantities of imported Bentonite clay are consumed by activities to develop petroleum and underground natural resources. In this research, locally made Bentonite clay was used, its rheological properties were investigated and compared with the stipulated America petroleum institute (API) standard values. The raw bentonite obtained in Gombe state, Nigeria, was weighed, crushed, and prepared to remove the impurities at room temperature. The cake gotten was sundried and broken into powder. The clay’s swelling ability was studied using a design expert software to generate the combined ratio of 3.75g of clay, and 0.3g of sodium carbonate (Na2CO3) dispersed in a fixed volume of distilled water in a measuring cylinder for 24hours. The procedure was then repeated for other runs. The clay beneficiation was done by scaling up the optimal value obtained for both clay and Na2CO3. Beneficiated clay was impregnated with silver nanoparticles (Ag/NPs) acquired from the Department of Biology, Ladoke Akintola University of Technology. The food gum obtained from the market was peeled and pounded; the liquor extracted was sundried and reduced to a particle size of 0.12 μm. In determining the rheological properties, a viscometer (OFITE model 900 viscometer) was used. It was observed in this study that the local made Bentonite rheological properties like plastic and apparent viscosity, gel strength, and yield point were significantly improved at various temperatures of 23°C and 100°C when compared with API standard values. Similarly, the impregnation of beneficiated clay with Ag/NPs has no significant effect on the of the Gombe Bentonite clay’s rheological properties.
On the deterministic and stochastic model applications to typhoid fever disease dynamics
Authors: Ogunlade Temitope Olu , Ogunmiloro Oluwatayo Michael , Fatoyinbo Grace Ebunoluwa 
Published: January 2021

Abstract
A deterministic and stochastic model depicting typhoid fever spread in human host community is considered. The deterministic model is analyzed and found to be positively invariant, well – posed and meaningful in the sense of typhoid infection spread. Using the typhoid fever – absent equilibrium points, the control basic reproduction threshold (Rtyp
) of the model is obtained and the estimation yields Rtyp
≈ 0.744. This value implies that controls of vaccination, screening and treatment is effective enough to drive Rtyp
below unity, that is, the level of infection is not effective to cause a typhoid epidemic. Also, the deterministic model is changed into a stochastic model system and the mean and variance of the stochastic model are obtained. The existence and uniqueness of the stochastic model is discussed and the corresponding graphical description of the impact of some parameters against is Rtyp
plotted, while the stochastic simulations are done using the Euler - Maruyama numerical scheme coded in matlab to describe the behavior of each sub - population of human individuals of the model system.
Analysis and control measures for Lassa fever model under socio-economic conditions
Authors: Collins O C , Okeke J E 
Published: January 2021

Abstract
Lassa fever is one of the animal-borne diseases that is affecting people in some of the West Africa countries. A mathematical model for dynamics of Lassa fever is formulated. It is assumed that individuals in the population comprises of two socio-economic classes (lower and higher socio-economic class). The significant features of the model are determined and analyzed accordingly. The effects of the control measures such as treatment, external protection, and rodent control are determined and their epidemiological implications discussed.
Optimal portfolio of an investor in a financial market
Authors: Achudume Celestine , Ugbebor Olabisi O. 
Published: January 2021

Abstract
An investor seeks to diversify assets and optimal portfolio, which provide the maximum expected returns at a given level of risk. Optimal portfolio problems of an investor with logarithmic utility have been studied. However, there is scarce information on other utility functions, such as power utility function, which captures the concept of diversification of portfolios. This study was therefore designed to consider the general expected utility of an investor in the financial market. Ito’s integral where extended by the lofty properties of forward integral to diversify the investor’s portfolio. A filtration was built and used as a set of information for the investor. A semimartingale was used to enlarge the investor’s information. Matlab Mathematical software was used to compute the investors varying rates of return.
On the application of optimal control strategies to a generalized SVIR model
Authors: Oke M. O. , Ogunmiloro O. M. , Akinwumi C. T. , Ayinde S. O. , Ogunlade T. O. , Adebayo K. J. 
Published: January 2021

Abstract
In this paper, a deterministic optimal control problem involving a Susceptible - Vaccinated - Infected - Recovered (SVIR) epidemic model is considered. The optimal control problem is characterized using the Pontryagin’s maximum principle involving three control strategies namely, social mobilization, screening and sanitation. The derived optimality system is numerically solved using the forward - backward Runge - Kutta fourth order method via the computational software matlab. The numerical simulations depict that each of the control strategy has its significance in minimizing the spread of diseases, but the optimal combination of these controls are more effective in stemming the emergence and spread of an epidemic.
On a jump-diffusion process driven by the asymmetric Laplace distribution for stock price models
Authors: Adeosun Mabel Eruore , Ugbebor Olabisi Oreofe 
Published: January 2021

Abstract
In this paper, a generalized jump-diffusion process driven by the Asymmetric Laplace (AL) Distribution for stock price modeling was proposed. The probability density function was derived for the dynamics of the log-returns when the random process of the jump amplitude obeys the AL distribution. Based on the derived density function, a Lévy-Khintchine formula for the process was obtained, which proved useful for the computation of moments of the process. Hence, the Asymmetric Laplace jump diffusion model can be useful for modelling of stock price processes with empirical features like discontinuous paths, asymmetry and high peaks found in the empirical distribution of most financial data.
Stock price prediction using machine learning on least-squares linear regression basis
Authors: Emioma C. C. , Edeki S. O. 
Published: January 2021

Abstract
Predicting the future of a stock price is a difficult task due to the high level of randomness in the movement of prices. This research aims to use a machine-learning algorithm to estimate the closing stock price of a dataset to help aid in the prediction of stock prices leading to higher accuracy in prediction. The intention of the model is for it to be used as a day trading guide. The algorithm being used is called the least-squares linear regression model. It takes in a dependent variable, in this case, would be our closing price of the stock and an independent variable, which is the day each stock price was recorded.
Study of antioxidant activities, acceptability, and shelf life prediction of Ciplukan (Physalis angulata L.) juice drinks
Authors: Luthfiyanti R , Iwansyah A C , Rahayu Y , Achyadi N S 
Published: January 2021

AbstractAntioxidants are free radical scavenger compounds that can reduce or prevent the adverse effects of reactive oxygen species and reactive nitrogen species (ROS/RNS). This study aims to study the antioxidant activity, acceptability, and shelf life of fruit extract drinks and ciplukan buds (Physalis angulataL.). The experimental design used factorial completely randomized design (FCRD), with two factors, namely the ratio of juice extracts and ciplukan buds (a) and stabilizer concentrations (b), three replications. The organoleptic analyzed by hedonic test, antioxidant activity by DPPH method, and total phenolic contents, total flavonoid contents and alkaloid using each of the Folin-Ciocalteau, aluminum chloride and gravimetric methods. The estimated shelf life is calculated using the Arrhenius method at 28°C for 28 days. The results showed that the ratio of fruit extracts and buds (a) affected the preference for taste, aroma, and color attributes. The interaction between juice extract ratio with a bud (a) and stabilizer concentration, (b) influences antioxidant activity, color attributes, and viscosity. The best ciplukan drink samples based on organoleptic calculations are juice with fruit extracts with buds 15:1 and stabilizer concentration of 0.1% (a3b1) and fruit extracts with buds 20:1 and stabilizer concentration of 0.1% (a4b1). The highest total phenolic and flavonoid contents obtained sample code a3b1, while the highest alkaloid content from code sample a4b1. Based on the estimated shelf life of total microbes, ciplukan bud extract has a shelf life of 9 months at 28°C.
Optimization process for ethylene glycol production using the Pareto solution
Authors: Sulaiman M S , Rohman F S S , Aziz N 
Published: January 2021

Abstract
In this work, ε -constraint approach within ASPEN Plus environment is used to generate the Pareto solutions for two objectives: maximize productivity and minimize energy consumption, for the ethylene glycol production. Each point of Pareto solutions consists of different optimal temperature and hydrogen flowrate values, which lead to distinct amount of energy consumption and ethylene glycol product rate. These solutions give flexibility in evaluating the trade-offs and selecting the most suitable operating policy. The most satisfactory optimum and trade-off of both objectives is determined. The optimum value for ethylene glycol production and energy consumption are 109.92 kmol/hr and 11227860.10 kJ/hr, respectively, while the trade-off values are 18.02 kmol/hr and 10903846.2 kJ/hr, respectively. The comparison between multi-objective optimization and single-objective optimization concludes that a high benefit against disadvantages is achieved by implementing multi-objective optimization. The difference between multi-objective optimization and single-objective optimization for ethylene glycol production and energy consumption are –5.65 kmol/hr and 17526931.8 kJ/hr, respectively.
Application of feed forward neural network model to predict the limiting current of tin magneto electrodeposition
Authors: Sudibyo  , Aziz N , Wijaya A , Fathona R S 
Published: January 2021

Abstract
Predicting the value of Tin Magneto electrodeposition (MED) is very important since the optimum mass transport occurred at the limiting current. The MED limiting current able to detect using electroanalytical chemistry, but this method is expensive; it needs some method, which able to predict the limiting current of tin MED. However, predicting the limiting current under magnetic field effect is more complicated due to the highly nonlinear characteristic and complicated of its multiple inputs single-output (MISO) system. The nonlinear model that able to predict the limiting current of tin MED is Artificial Neural Networks (ANNs). One of the ANNs which able to simulate the Multiple-Input-Single-Output (MISO) model is the Feed Forward Neural Network (FFNN). In this work, MISO FFNN will model a matrix data set with six variable inputs and one output. The data was obtained from the results of the experiments using electroanalytical chemistry. The output of this model is the limiting current of tin MED, meanwhile, the inputs are by the concentration of tin (Sn2+) in the electrolyte (C), viscosity(v), diffusion coefficient (D), area of the electrode (A), the number of electroactive species (n) and magnetic field strength (B). To get the best model, the performance of FFNN was tested with three variations of the algorithm (Levenberg-Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient) and ten variations of the number of neurons (10, 15, 20, 25, 30, 35, 40, 45 and 50). The best model obtained for this MISO FFNN model is which uses the Levenberg-Marquardt algorithm and the highest number of neurons (50 neurons).
Fe-Cr pillared clay as catalysts for the ethanol to gasoline conversion
Authors: Widjaya Robert R , Saridewi Nanda , Putri Alda A , Rinaldi Nino , Dwiatmoko Adid A 
Published: January 2021

Abstract
Bentonite is a clay mineral type of montmorillonite that can be used as a catalyst. The use of bentonite as a catalyst has weaknesses, namely small surface area, pore volume and low thermal stability, so it is necessary to modify the structure. Modification of bentonite structure carried out in this research used the pillarization method (Pillared Clay or PILC) with the addition of Fe and Cr metals to form Cr/PILC, Fe/PILC, and Fe-Cr/PILC catalysts. The PILC catalysts can be used as a catalyst in the ethanol to gasoline conversion processess for alternative fuels. The XRD result shows that the pillarization process with the addition of Fe and Cr metals was succeeded so it can increase the interlayer spacing by 22,03 Å, 15,79 Å, and 15,85 Å on the Cr/PILC, Fe/PILC, and Fe-Cr/PILC catalysts. The SAA result shows an increase in surface area and pore volume in the Cr/PILC, Fe/PILC, and Fe-Cr/PILC catalysts structure. The presence of Brønsted acid type is indicated through the absorption peaks at 1515-1640 cm−1 and Lewis acid type at 1435-1470 cm−1 from the FTIR result. The TGA result shows an increase in thermal stability on the Cr/PILC, Fe/PILC, and Fe-Cr/PILC catalysts. The Fe-Cr/PILC catalyst shows the best activity results on the ethanol to gasoline conversion process with the acquisition of percent conversion and selectivity by 43.30% and 87.15% respectively.
The dispersion pattern of PM10 and SO2 on Highway Kuin Utara and Kuin Selatan Banjarmasin City based on GIS spatial model
Authors: Prasetia H , Annisa N , Riduan R , Setyowati E R , Tasfiyati A N , Maryana R 
Published: January 2021

Abstract
The transportation sector primarily causes urban air pollution in Indonesia and has a significant role in environmental emissions. Emissions resulting from vehicles are particulate matter, SO2, CO2, CO, HC, and NOx. The concentration and dispersion of PM10 and SO2 from the activity of the traffic on the roads Kuin Utara and Kuin Selatan, Banjarmasin City, observed in this study. The dispersion model of the concentration of PM10 and SO2 from traffic activity using GIS Spatial Models has been conducted. Research has been carried out for two days as representing weekend and weekdays at the three stations. After modeling and mapping the highest value for the concentration of PM10 on the weekend, it was obtained at station three, which was 167.3 μg.m−3. The highest level of PM10 on weekdays was achieved at station 3 with an amount of 236.3 μg.m−3. Based on modeling, the highest level SO2 on weekdays reached in station 3, which was 423 µg.m−3.
The stability study of electrolytic conductivity synthetic wastewater
Authors: Herwahyu Krismastuti Fransiska Sri 
Published: January 2021

Abstract
The accurate and traceable measurement of electrochemical parameters, such as electrolytic conductivity, in water environment is crucial for water quality monitoring. This can be achieved by the use of metrological traceable certified reference material produced according to ISO 17034. It requires stability test of the reference material candidate as part of the certification for a new reference material. This study is focused on monitoring of the stability of electrolytic conductivity synthetic wastewater, as an example of complex solution containing high concentration of ions. The stability study is focused on the material of the packaging bottle, the shelf-life duration and the high temperature representing a shipping condition. The results demonstrate that the electrolytic conductivity synthetic wastewater is stable for all the conditions tested, but the synthetic wastewater packaged in glass bottle has longer shelf-life. The results confirmed that the synthetic wastewater has potential to be developed as a certified reference material.
Potential of carbonized rice husk as a filter media rain garden to decrease the turbidity of water and Coli bacteria in the Stormwater Runoff. a review of current research
Authors: Annisa N , Prasetia H , Sholihah Q 
Published: January 2021

Abstract
The rapid development of physical infrastructure and infrastructure activities in several metropolitans in Indonesia, followed by industrial, transportation, construction, trade, and office canters, have had an impact on the environment. Such facilities cause a reduction in a green open space. The existence of high rainfall causes uncontrolled stormwater run-off. As a result of the massive floods that frequently happen. The problem that often found that stormwater run-off tends to result in high turbidity and pollution of Coli bacteria, so processing of the treatment is necessary. One of the methods of maintaining the quality of water can use rain gardens that can be made in a run-off water source, by using carbonized rice husk filters. This research method was carried out with the technique of literature review, such as national and international journals, books, websites, and other documents related to the topic of study. Based on the results of the study, carbonized rice husks were able to decrease turbidity and Coli bacteria with decent removal efficiency approaching 90%. The carbonized rice husk becomes an alternative for the media filter rain garden to decrease the value of turbidity and the number of Coli bacteria, as it has large pores and has a content of high Silica (Si).
Quality of physicochemical and sensory of mushroom (Pleurotus ostreatus) chicken nuggets with carrageenan and konjac as hydrocolloids
Authors: Setiaboma W , Kristanti D 
Published: January 2021

Abstract
Nuggets are mostly made of meat however reducing meat in meat product impact on characterization products. The present study was to investigate the effect of various hydrocolloids (carrageenan and konjac) on the physicochemical characteristic of chicken mushroom nuggets. Four formulations of mushroom chicken nuggets were N0 (non-hydrocolloid), N1 (sodium tripolyphosphate -STPP), N2 (konjac), and N3 (carrageenan). All nuggets were evaluated for moisture content, ash content, color, texture, pH, cooking loss, and sensory evaluation. The moisture content was less than 60 %. The cooking loss and texture of the nuggets was affected (P<0.05) additional of hydrocolloids. The N3 increased cooking loss (11.34) and hardness (1360.14 N). The sensory attributes were not influenced of the additional hydrocolloids. This current study indicated that N2 could be potential as thickener in mushroom chicken nuggets caused the pH value, cohesiveness, and chewiness of N2 were similar (P>0.05) to N1.
Artocarpanone isolated from Artocarpus heterophyllus heartwoods enhances cytotoxic effect of cisplatin against H460 and MCF-7 cell lines
Authors: Septama Abdi Wira , Nik Mat Daud Nik Nurul Najihah 
Published: January 2021

Abstract

Artocarpus heterophyllus has been used as a folk medicine in Asian countries. Flavonoid possessed a wide-range of therapeutic compounds for the treatment of several diseases including cancer prevention. Artocarponanone is s flavonoid isolated from the heartwoods of A. heterophyllus. This study was undertaken to investigate the interaction of natural compound and commercial anticancer, cisplatin against two cancer cell lines. MTT assay was performed to determine the cytotoxic effect of the combination. Isobologram analysis was used to predict the interaction of combination against cancer cell lines. The effect of this combination was then confirmed using AO/PI staining method. It showed that artocarpanone demonstrated cytotoxic effect against H460 and MCF-7 cell lines with IC50 values of 16.88 and 23.34 µg/mL, respectively. While cisplatin exhibited the cytotoxic effect against H460 and MCF-7 cell lines with IC50 values of 12.95 and 10.29 µg/mL. The combination of these compounds produced the synergistic effect on MCF-7 cell lines with a combination index (CI) of 0.09 and 0.13, respectively. Fluorescence microscope using AO/PI staining showed that the combination caused the morphological change of cancer cell lines and lead to necrosis and apoptosis. This result indicated that artocarpanone may enhance the cytotoxic effect of cisplatin against H460 and MCF-7 cell lines.
Inhibition activity of α-glucosidase enzyme, phenolic content and toxicity of Mara (Macaranga tanarius (L.) Mull. Arg) Leaf
Authors: Megawati  , Hariyanti  , Pebriani Resta , Fajriah Sofa 
Published: January 2021

Abstract
Previous studies have shown that mara leaves (Macaranga tanarius (L) Mull. Arg) can be used as medicinal plants because they have antibacterial and anti-inflammatory activity. Compounds containing flavonoids, tannins, saponins. But there is still little research on mara leaves as inhibition α-glucosidase. The purpose of this study was to determine the antidiabetic activity by the α-glucosidase method and its toxicity by the BSLT method and the results of fractionation. This test can be done by looking at the IC50 values obtained from linear regression analysis. Whereas the acute toxicity test uses BSLT (method of Shrimp Lethality Test). Using concentrations of 1000 ppm, 500 ppm, 100 ppm and 10 ppm. At each concentration using 10 larvae Artemia salina Leachand analyzed mortality. LC50 values were obtained from linear regression of mortality percentages and log doses. The results of this study prove the ethyl acetate fraction of Macaranga tanarius (L) Mull. Arg leaves has a high value inhibition activity that is 0.74 μg/mL and is non-toxic so it can be considered as inhibition α-glucosidase.
Investigation of the potential covid-19 inhibitor from Cassia alata and Dendrophthoe petandra using computational approach
Authors: Ernawati Teni , Angelina Marissa , Dewi Rizna Triana , Fajriah Sofa , Rokip  
Published: January 2021

AbstractCOVID-19 is a recent coronavirus outbreak caused by SARS-CoV-2 beginning in early December 2019 in Wuhan China raising global health problems. The SARS coronavirus main peptidase (SARS-CoV M(pro)) plays an essential role in the life-cycle of the virus and is a primary target for the development of anti-SARS agents. Also, the viral 3-chymotrypsin-like cysteine protease 3 (3CLpro) enzyme controls coronavirus replication and is essential for its life cycle. Therefore, herein, we performed in silico virtual screening of the compounds fromCassia alataandDendrophthoe petandrasuch as; aloe-emodin, emodin, kaempferol, quercetin and quercitrin against SARS-CoV-2 Mproand also 3CLprothrough molecular docking approach using Autodock 4.2, with the Lamarckian Genetic Algorithm. The binding energies obtained from the result of molecular docking of SARS-CoV-2 Mproand also 3CLproquercetin, kaempferol and aloe-emodin appeared to have the best potential to act as COVID-19 inhibitors.