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2021 ◽  
Vol 14 (4) ◽  
pp. 192-198
Author(s):  
Zubairul Islam ◽  
Sudhir Kumar Singh ◽  
Saroj Ahirwar

The study aimed to examine the change in the concentration of nitrogen dioxide due to the lockdown amid the COVID-19 pandemic in India at the district level using Sentinel-5P TROPOMI. The spatio-temporal characteristics of the tropospheric column NO2  concentration during 45 days of the lockdown were compared with the same days of 2019. Further, to model spatially varying relationships of NO2 during the lockdown period, it was given as a dependent variable whereas NO2 during the pre-lockdown period was considered as an independent variable. Results show that the mean NO2 concentration was reduced from 0.00406 mol/m2 before the lockdown (2019-03-25 to 2019-05-10) to 0.0036 mol/m2 during the lockdown period (2020-03-25 to 2020-05-10). The maximum decline of NO2 concentration was observed in Gautam Buddha Nagar and Delhi. This indicates the high level of atmospheric pollution due to the excess use of fuel in human activities. The results of the Ordinary Least Squares (OLS) method show a strong positive relationship between both variables. Positive standard residuals indicate that the concentration of NO2 has reduced more than expected as per the OLS model. The z-score (24.11) was obtained from spatial autocorrelation. It indicates that residuals are highly clustered and there is less than a 1% likelihood that this clustered pattern could be a result of a random chance. The highest decrease was observed in districts/urban agglomerations of Gautam Buddha Nagar (-40%), Delhi (-37%), Greater Bombay (-31%), Hyderabad (-29%), Faridabad (-29%), Bangalore Urban (-28%), Gandhinagar (-27%), Chennai (-27%) and Gurgaon (-26%) respectively.


2021 ◽  
Vol 4 (3) ◽  
pp. 655-672
Author(s):  
Surono Surono ◽  
Rika Juwita ◽  
Ruslan Abdul Ghofur ◽  
Erike Anggraini

This research aims to analyze the differences in the performance of Islamic stock mutual funds and conventional stock mutual funds in forming an optimal portfolio using the Sharpe and Treynor models. Purposive sampling was used in determining the data sample which was then analyzed using the descriptive method with a comparative study during the period January 2018 to December 2019. Hypothesis testing used a different test to determine the difference between the two using the SPSS Application Tool. The results showed that the calculation of the performance of stock mutual funds using the Sharpe method, both Islamic and conventional stock mutual funds, there was no significant difference. Likewise, the results of the calculation of the performance of stock mutual funds using the Treynor method show that there is no difference between the performance of Islamic stock mutual funds and conventional stock mutual funds. This is one proof of the development of the Islamic economy in Indonesia, especially in the capital market, so that Islamic mutual funds can compete with conventional mutual funds.


2021 ◽  
Vol 1 (2) ◽  
pp. 54-66
Author(s):  
M. Hamdani Santoso

Data mining can generally be defined as a technique for finding patterns (extraction) or interesting information in large amounts of data that have meaning for decision support. One of the well-known and commonly used association rule discovery data mining methods is the Apriori algorithm. The Association Rule and the Apriori Algorithm are two very prominent algorithms for finding a number of frequently occurring sets of items from transaction data stored in databases. The calculation is done to determine the minimum value of support and minimum confidence that will produce the association rule. The association rule is used to produce the percentage of purchasing activity for an itemset within a certain period of time using the RapidMiner software. The results of the test using the priori algorithm method show that the association rule, that customers often buy toothpaste and detergents that have met the minimum confidence value. By searching for patterns using this a priori algorithm, it is hoped that the resulting information can improve further sales strategies.


2021 ◽  
Vol 55 (6) ◽  
Author(s):  
Saranya S N ◽  
Thirumarimurugan M

The proposed work is focused on the tuning of the latent-heat storage of a PCM with MWCNT encapsulation for a chiller system in the milk-pasteurization process using an RSM-based predictive Smith controller. The PCM was synthesized using sodium polyacrylate and MWCNT particles, encapsulated in spherical balls stored in the IBT (ice bank tank of the chiller unit). Experimental work is conducted on the heat-transfer characteristics of the chiller unit with servo-operated flow-control valves based on the central composite design of experiments. The system is cascaded using a PID controller with a Smith predictor to stabilize the latent temperature of milk cooling in the chiller system. The system is considered to be a first-order transformation with the rise and settling time. The plant model is obtained, using the response-surface method based on the transfer function to minimize the error derivatives of the chiller system. Results of the proposed method show a robust performance in keeping the PCM temperatures and bacterial-growth value stabilized, allowing a less drastic control compared to the cascade-model predictive control.


2021 ◽  
Vol 15 (4) ◽  
pp. 697-708
Author(s):  
Khozin Mu'tamar ◽  
Janson Naiborhu ◽  
Roberd Saragih

In this article, we present a control design on a SIRD model with treatment in infected individuals. The SIRD model with treatment is obtained from literature study and the parameter model is obtained  from covid-19 daily case in the Riau province using the Particle Swarm Optimization method. The control design is carried out based on the backstepping method combined with feedback linearization based on input and output (IOFL). The SIRD model which is a nonlinear system will be transformed into a normal form using IOFL. Each variable is then stabilized Lyapunov using virtual control which at the same time generates a new state variable. This stage will be carried out iteratively until the last state variable is stabilized using a real control function. This control function is then applied to the SIRD model using the inverse of IOFL transformation. The simulation results compared with the Pontryagin Minimum Principle (PMP) method show that by selecting the appropriate control parameters, backstepping obtains better control performance which is a smaller number of infected populations.


Author(s):  
Li Zhang ◽  
Deping Wang ◽  
Honglu Yu

Abstract We effectively fabricated Titanium dioxide nanoparticles that were protein-coated. Bovine serum albumin (BSA), lysozyme proteins, zein, and collagen have been used to coat titanium dioxide-aryl nanoparticles of the form TiO2-NPs. However, in both cases, no catalysts or other stabilising agents were used. These images of TiO2-NPs fabricated using the green method show high crystallinity. It is a malignant colorectal tumour with dysfunctional cellular processes that cause colorectal cancer cells. It is hoped that studies employing SW1417 cells would give mechanistic ideas on the specifics of the amplification in cancers. This was done by flow cytometry utilising and laser confocal fluorescence microscopy (LCFM) on the SW1417 colorectal cell line. Of the protein-coated Titanium dioxide nanoparticles fabricated green methods, BSA@TiO2-NPs were the most readily absorbed. Of all TiO2-NPs, lysozyme@TiO2-NPs fabricated by the chemical reduction technique were the most effectively internalised by SW1417 cells out of TiO2-NPs types.


2021 ◽  
Vol 412 ◽  
pp. 49-72
Author(s):  
R. Leticia Corral Bustamante ◽  
Antonino H. Pérez ◽  
Alfredo L. Márquez

A new approach to evaluate the Newtonian flow between concentric rotating spheres is introduced in this paper. A general analytic solution to the problem is deduced using a perturbation method that takes into account the primary and secondary flows produced between the spheres, as well as an alternative analytical method. In order to exemplify the results of the previous analysis, six particular cases were studied. The results of the perturbation method show that under certain circumstances the secondary flow is no negligible, as is usually considered, but it is comparable to the value of the primary one. While the analytical method allows us to simulate the flow with results very similar to those of other authors.


2021 ◽  
Vol 15 (3) ◽  
Author(s):  
A. Menchynska ◽  
T. Manoli ◽  
L. Tyshchenko ◽  
O. Pylypchuk ◽  
A. Ivanyuta ◽  
...  

The paper presents a study of the quality parameters of fish pastes and confirms their value as food products with optimised nutritional and biological characteristics. Sensory evaluation of fish pastes has shown that the samples developed have higher consumer properties compared with the control sample. The results of the profile analysis by the flavour method show that the paste Ikrynka is the closest to the ideal taste profile. The findings on the chemical composition characterise fish pastes as products with high nutritional value due to the significant content of proteins and lipids. The paste Ikrynka contains 12.68% of proteins, and the paste Zakusochna 13.43%, which is at the level of the control sample (13.05%). The mass fraction of lipids in the experimental samples exceeds the control: in the paste Ikrynka, the lipid content is 40.06%, in Zakusochna, it is 36.64%, and in the control sample, the proportion of lipids is 11.41%. The results of studying the amino acid composition of proteins show that in the test samples, all essential amino acids are present. They are well-balanced, which indicates their high biological value and makes the pastes easily assimilated by the human body. The study of the fatty acid composition of lipids present in the fish pastes shows that in the samples developed, polyunsaturated fatty acids predominate: their share in the paste Zakusochna is 44.23%, and in Ikrynka, 48.42%. By the ratios of the fatty acids С18:2:С18:1, С18:2:С18:3, and ω6:ω3, both samples of pastes are equivalent to ideal fat, which indicates high biological effectiveness of lipids in fish pastes. It has been found that the pastes Ikrynka and Zakusochna are high in vitamin E (1.83 mg/100 g and 1.64 mg/100 g respectively) due to a significant amount of vegetable oil in their composition. Ikrynka contains quite a lot of carotenoids (3.47 mg/100 g) due to the presence of carrots in its composition. The results of studying the mineral composition show that the samples of pastes developed are a source of zinc


2021 ◽  
Vol 5 (2) ◽  
pp. 485
Author(s):  
Christina Christina ◽  
Sri Tiatri ◽  
Pamela Hendra Heng

Reading readiness is one of the skills given to early childhood through playing while learning. Kindergarten children are given assignments in the form of worksheets and the teacher will ask those children to read and then mention the words back on their worksheet. If the learning system to read like this were practiced repeatedly, the child will get bored. Reading readiness can be done through telling stories and using flash cards. One of the behaviors that show the child is in the reading readiness stage is when a child who is able to use spoken language to express an object. This can be realized through the show and tell method, which is a method that provides opportunities for children to learn new things through storytelling and listening to stories from their friends. This study aims to see the application of the show and tell method on reading readiness of kindergarten children. Participants in this study were 16 TK B students in PAUD FL which were divided into two groups, namely EG (Experiment Group) and CG (Control Group). Participants will be provided with an adapted Reading Readiness Assessment test kit and an Expressive Vocabulary Test as additional analysis given at the beginning and end of the study. The data analysis used an independent sample t-test which resulted that the method show and tell was ineffective for the reading readiness of kindergarten children (t = 1,678; p = 0.114) but the method show and tell was effective in increasing the number of children’s word to describe something (t = 4.961; p = 0.001) and children's vocabulary (t = 4,797; p = 0.002). Kesiapan membaca merupakan salah satu keterampilan yang diberikan kepada anak usia dini melalui kegiatan bermain sambil belajar. Anak TK diberikan tugas dalam bentuk lembar kerja dan meminta anak untuk membaca lalu menuliskan kembali kata yang ada pada lembar kerja tersebut. Apabila sistem belajar membaca seperti ini dilakukan berulang, maka anak akan merasa jenuh. Kesiapan membaca dapat dilakukan dengan cara bercerita, mendongeng dan penggunaan media flash card. Salah satu perilaku yang menunjukkan anak berada dalam tahap kesiapan membaca adalah anak mampu menggunakan bahasa lisan untuk menceritakan suatu objek. Hal ini dapat diwujudkan dalam metode tunjukkan dan ceritakan, yaitu metode yang memberikan peluang bagi anak untuk belajar hal baru melalui kegiatan bercerita dan mendengarkan cerita teman sekelompoknya. Penelitian ini bertujuan untuk melihat efektivitas penerapan metode tunjukkan dan ceritakan terhadap kesiapan membaca anak TK. Partisipan pada penelitian ini adalah 16 murid TK B di PAUD FL yang dibagi menjadi dua kelompok, yaitu KE (Kelompok Eksperimen) dan KK (Kelompok Kontrol). Partisipan akan diberikan alat tes Reading Readiness Assessment yang telah diadaptasi serta Expressive Vocabulary Test sebagai analisis tambahan yang diberikan pada awal dan akhir penelitian. Analisis data menggunakan uji beda yang menunjukkan hasil bahwa metode tunjukkan dan ceritakan tidak efektif terhadap kesiapan membaca anak TK (t = 1.678; p = 0.114) namun metode tunjukkan dan ceritakan efektif untuk meningkatkan jumlah kata anak (t = 4.961; p = 0.001) dan jumlah kosakata anak (t = 4.797; p = 0.002).


Polymers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3674
Author(s):  
Kuen Hee Eom ◽  
Seokhyeon Baek ◽  
Il Kim

Synthetic polypeptides prepared from N-carboxyanhydrides (NCAs) of α-amino acids are useful for elucidating the relationship between the primary structure of natural peptides and their immunogenicity. In this study, complex copolypeptide sequences were prepared using a recently developed technique; specifically, the random copolymerization of l-alanine NCA with NCAs of l-glutamic acid 5-benzylester (Bn-Glu NCA), S-benzyl-cysteine (Bn-Cys NCA), O-benzyl-l-serine (Bn-Ser NCA), and l-phenylalanine (Phe NCA) was performed using N-heterocyclic carbene (NHC) catalysts. The NHC-initiated Ala NCA/Bn-Glu NCA and Ala NCA/Bn-Cys NCA copolymerization reactions achieved 90% conversion within 30 min. The reactivity ratio values estimated using the Kelen and Tüdos method show that poly(Bn-Glu-co-Ala) and poly(Bn-Cys-co-Ala) have random repeating units with rich alternating sequences, whereas poly(Bn-Ser-co-Ala) and poly(Phe-co-Ala) contain a larger proportion of Ala-repeating units than Bn-Ser and Phe in random placement.


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