Modelling of rheological behaviour of macaíba pulp at different temperatures

ABSTRACT Fruit pulps undergo temperature variations during processing, leading to viscosity changes. This study aimed to analyse the rheological behaviour of macaíba pulp at different temperatures (10 to 50 ºC, with 5 ºC increments) and speeds (2.5 to 200 rpm, totalling 17 speeds). Experimental measurements were performed in a Brookfield viscometer, fitting the Ostwald-de-Waele, Mizrahi-Berk, Herschel-Bulkley, and Casson models to the experimental data of shear stress as a function of shear rate. Among the models used, the Mizrahi-Berk model (R² > 0.9656 and average percentage deviation - P ≤ 4.1%) was found to best fit the rheogram data. Macaíba pulp exhibited a non-newtonian behaviour and was characterised as pseudoplastic. It showed fluid behaviour indexes below unity under the studied conditions, with decreases in apparent viscosity as temperature and shear rate increased. Such behaviour could be described by the Arrhenius equation. The Mizrahi-Berk and Falguera-Ibarz models (R² > 0.99 and P ≤ 10%) best fitted the data and were used to represent the viscosity behaviour of macaíba pulp. The activation energy values of macaíba pulp ranged between 17.53 and 25.37 kJ mol-1, showing a rheological behaviour like other fruit pulps.

Distribution of the Beta-Casein Gene Variants in Three Cattle Breeds Reared in Benin

The beta-casein gene is one of the most functional genetic candidate that affect milk quality and composition traits. Among its variants, the A1/A2 are the most common. Therefore, the aim of this study was to identify the distribution of the Beta-casein gene variants (A1/A2) in three different cattle breeds in order to determine which of the breed produce a better milk for consumers’ health. 152 blood samples which comprises 72 (Muturu), 40 (Azawak) and 40 Girolando were used to carry out this study. Genomic DNA was extracted from the blood samples and each variant was subsequently amplified from the extracted DNA samples using an Allele-Specific PCR technique and then confirmed by running the PCR products on 1% agarose gel. The result showed that there were three genotypes (A1A1, A2A1 and A2A2) in the three breeds. The average percentage genotypic frequencies obtained from this study were 42.76%, 31.58% and 25.66% respectively for A1A1, A1A2 and A2A2 genotypes while the percentage allelic frequencies were 58% and 42% respectively for A1 and A2 allele. The genetic parameters of Azawak breed were higher than that of the other breeds, what implies that there was a higher polymorphism and genetic diversity in the Azawak breed in the beta-casein gene compare to the other breeds. The A2 beta-casein variant in milk has been found to be desirable for milk consumer’s health and nutrition. This study therefore showed that the Azawak breed provides a good potential for increasing this favorable allele through appropriate breeding techniques of cattle.

SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting

Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR model, which incorporates machine learning (ML) into the epidemiological SIR model. For each region, SIMLR tracks the changes in the policies implemented at the government level, which it uses to estimate the time-varying parameters of an SIR model for forecasting the number of new infections one to four weeks in advance. It also forecasts the probability of changes in those government policies at each of these future times, which is essential for the longer-range forecasts. We applied SIMLR to data from in Canada and the United States, and show that its mean average percentage error is as good as state-of-the-art forecasting models, with the added advantage of being an interpretable model. We expect that this approach will be useful not only for forecasting COVID-19 infections, but also in predicting the evolution of other infectious diseases.

Green Building Assessment In Shopping Buildings

<pre>Research on green building in terms of accounting science is still rare. This research aims to explore the benchmarks and criteria for green building in its application to multi-storey buildings and to contribute to increasing the efficiency of building operational costs.</pre><p>The method used in this research is through exploration of data from questionnaires collected using simple arithmetic techniques and graphic techniques in summarizing the observational data. The number of respondents who responded to the questionnaire that was run until this data was processed was 111 respondents.</p><p>The results of this study indicate that the application of green building benchmarks can be said to have been implemented because the average percentage of respondents who answered Yes was 58.4% or above the standardization used in this study, namely 57% (gold rank).</p><p>This research provides theoretical implications, which is able to strengthen the theory of the reliability of accounting. One of them is green accounting, which is the triple bottom line (planet, people and profit). In order that implementation of green building which has been applied only from the civil engineering condition of the building, the art of building architecture and the electrical engineering of the building, but now it has begun to be calculated regarding advantages and disadvantages similarly the benefit of the green building .</p><p>From a micro economics (organizational) point of view, this research contributes to educating property business and stakeholders that green building is not object that is expensive although is a solution for cost efficiency. People can distinguish the price of green buildings and ordinary buildings.</p>

Temporal analysis on spectral reflectance of clove vegetation based on landsat 8 imagery

This study aims to analyze temporally the spectral reflectance of clove vegetation using Landsat 8 multitemporal imagery data in Buleleng district, Bali. The analysis method uses the conversion of raw data from Landsat 8 images to the spectral reflectance value at the Top of Atmosphere (TOA). This conversion scales back the pixel values ??of the Landsat 8 image in the visible spectrum, namely bands 2, 3, 4 and infrared bands 5, 6, and 7 into percentage units. The temporal analysis technique is carried out by grouping the time series of Landsat 8 image data for 1 period, in 2015, into 4 quarterly groups based on the acquisition time, namely Quarter I (January, February, March), Quarter II (April, May, June), Quarter III (July, August, September) and Quarter IV (October, November, December). The results showed that the graph pattern of the average percentage of spectral reflectance in each quarter was the same and in the infrared spectrum was greater than the visible spectrum. The average value of the largest spectral reflectance was found in the second Quarter which was acquired by band 5 of 28.143%, while the smallest in the first Quarter which was acquired by band 2 was 2.503%.

Investigating the level of functional preparedness of selected Tehran hospitals in the face of biological events: a focus on COVID-19

Purpose This study aims to evaluate the functional readiness of selected hospitals in Tehran in the face of biological events focusing on the Coronavirus. Design/methodology/approach The current study is a cross-sectional, descriptive-analytical study, with the research population consisting of four hospitals in Tehran (Ministry of Health, Social Security, Azad and Military University). This study used data collection tools, standardized functional preparedness tools for hospitals using a biological approach and a standardized checklist of biological event preparations for the American Hospital Association. Interviews with the incident and disaster committee director and observation of each hospital’s existing documents, were used to collect data, which was then analyzed using SPSS-16 software. Findings According to the results, the average percentage of total hospital preparedness in biological events is 36.9%. With 53.3%, the selected military hospital has the most preparation, whereas the Ministry of Health has the lowest preparation with 28.3%. Surge capacity management and communication had the most remarkable preparedness rate of 68.75% (adequate preparedness), biological consultants, meeting management and post-disaster recovery had the lowest preparedness rate of 0% (extremely weak preparedness). Practical implications The average functional preparedness of selected hospitals in Tehran was assessed at an insufficient level in this study. Given the recurrence of disease waves, these results are helpful in increasing hospital preparedness for impending events. Improving preparedness in most areas, especially in post-disaster recovery seems necessary. Originality/value Given the COVID-19 pandemic, it is important to assess hospitals’ readiness to increase capacity and respond to this scourge. Few studies have been done in this field in the world. This study investigates this issue in the capital of Iran. The finding of this study suggest authorities’ attention to this issue and the creation of severe and prompt solutions and measures and the use of military hospital experiences to improve biological threat preparedness.

Analysis of the effect of the MBKM Internship Program and Certified Independent Study (MSIB) on university performance Universitas 17 Agustus 1945 Surabaya

Universitas 17 Agustus 1945 Surabaya as one of the leading private campuses in Indonesia has a high commitment to improving the quality of higher education. One of the efforts of the Universitas 17 Agustus 1945 Surabaya in improving the quality of higher education is through the development and improvement of every aspect of activities that refer to the Higher Education Main Performance Indicators (KPI) that have been set by the Ministry of Education and Culture. The activity program that refers to the Main Performance Indicators (IKU) is the Merdeka Learning Campus Merdeka (MBKM) activity program, which has been well implemented by the Universitas 17 Agustus 1945 Surabaya since 2019. However, in an effort to continuously improve the MBKM program, analysis is needed an in-depth look at readiness and the impact obtained at the level of study programs, faculties, and universities. One of the MBKM programs that refers to the KPI and needs to be analyzed is the Certified Independent Study & Internship MBKM program. On this basis, this study conducted an in-depth analysis of the readiness and impact of the MBKM Internship & Certified Independent Study program at the Universitas 17 Agustus 1945 Surabaya. Based on the results obtained, the level of readiness of the Universitas 17 Agustus 1945 Surabaya in supporting the MBKM program is quite good with an average percentage of readiness above 50%. In measuring the impact of MBKM, it is found that the MBKM policy, Internship Program and Independent Studies greatly affect the performance of the Universitas 17 Agustus 1945 Surabaya significantly with an impact effect of 75.4%.

Developing English Pronunciation through Animation and YouTube Videos

Using multimedia inside the English as a foreign language (EFL) lassroom has been anticipated by several researchers and educators recently as a new necessary component of language learning. This is ascribed on the one hand to the continuous advancements in the new technological devices that might be used in presenting the various types of multimedia inside the classroom, and, on the other hand, to the fact that learners have started to acquire new modes of cognitive learning preferences due to their excessive daily use of these devices. This study investigates the appropriateness and practicality of using some animated or dynamic graphs and YouTube movies in teaching the pronunciation of English to Iraqi-Arabic learners of English as a foreign language. The two groups of the subjects who participated in this case study were taught using two different methods of teaching with and without using multimedia. Unlike those who were part of the control group, subjects belonging to the experimental group performed much better in their posttest results (62.31% of the experimental group average percentage and 47.09% of the control group average percentage).

Parametric estimation of supplier's plant construction costs

Cost engineers of buying enterprises perform detailed product cost calculations of externally manufactured components. The aim of these calculations is to determine what a product should cost and to support purchasing functions in fact-based negotiations. While product cost engineers have deep knowledge in the calculation of direct cost, they need support in the calculation of supplier´s indirect cost categories. The calculation of industrial rent, which is expressed in annual cost per m² of occupied plant building floor space can be improved by providing accurate construction cost estimates. Construction costs are strongly impacting the calculation of supplier´s annual building depreciation, which is a crucial cost driver for the determination of the industrial rent. Academic literature is actually not providing an accurate and suitable cost model for product cost engineers, which is estimating construction cost per m² depending on different industrial building categories and alternative supplier plant locations. The paper aims to close this gap by applying linear regression analysis on a set of European construction cost data considering two industrial building categories: “warehouses/basic factory units” and “high-tech factories”. By regressing construction cost against construction labor rates within different supplier plant locations it was possible to form suitable and accurate parametric regression functions with R² values between 0.74 and 0.88. Next to high R² values acceptable mean average percentage errors between 7.45% and 11.77% could be realized by comparing estimated with observed construction cost. The estimation of industrial construction costs based on the paper´s results can be used to improve the calculation of industrial rent, which is one cost element, that has to be covered within product cost engineer´s Should Cost Calculations.

PENGEMBANGAN BUKU CERITA BERGAMBAR SEBAGAI MEDIA PEMBELAJARAN

DEVELOPMENT OF PICTURE STORY BOOKS AS LEARNING MEDIA Windi [email protected] UniversityABSTRACTThe background of this research is that the level of the education unit which is considered the basis for the cultivation of knowledge is at the elemntary school. Education pursued in basic education will be the foundation for the next education process. This study aims to develop a picture book of “Batu Belah Batu Betangkup” and to find out the feasbility of the picture story book. This picture book product is made using the cup studio paint application. The research method used is the 4D model consisting of four stages, namely difine, design, development, and dessiminate. Data collection was carried out using a questionnaire, the research instrument used had gone through a validation process with a validator. The type of data generated is quantitative data which is analyzed using the assessment criteria guidelines to determine the quantity of the product. Validation results from experts state that the pictorial story book product “Batu Belah Batu Betangkup” developed by the researher is very suitable for use. Expert assessment of product design with an average percentage pf 88,91% with a very feasible category, assessment of linguists with an average percentage of 95,8% with a very decent category, and field users based on the product with an average percentage of 95,83% and language assessment with an average percentage of 95,5% in the very feasible category and the student response product frial obtained 91,5% with the very good category.