Miracle-dz/UniFAR-FTUs huggingface dataset:
THE USE OF DAIRY BY-PRODUCTS IN PREPARING PROBIOTIC FERMENTED MILK DRINK FORTIFIED WITH CHICKPEA

The purpose of this study was to investigate the possibility of producing probiotic fermented milk drink from permeate which supplemented with different concentrations 0,1,2,3 and 4% of chickpea and 4,3,2 and 1% of skim milk powder using single culture of Bifidobacterium bifidum 1% with additives, natural strawberry pulp 20%, sucrose 5% and carboxy methyl cellulose 0.1%. Chemical, microbiological, sensory properties, amino acids, minerals and vitamin C content of the treatments were evaluated during storage at 5°C after 1,7 and 14 days. The results revealed that protein and ash contents of all treatments were significantly increased during storage, the pH values of all treatments significantly decreased, while the titratable acidity significantly increased (P >0.01) with increasing the amount of chickpea up to 4% throughout storage. Bifidobacterium count of the treatments containing 3 and 4% chickpea gave the highest counts of bacteria more than10 cfu/ml and the viable count of Bifidobacteria remained relatively constant during 14 days of storage, approxmatly 10 cfu/ml. Treatments supplemented with strawberry pulp and 3,4% chickpea respectively led to high increase in calcium, potassium, phosphorus,iron and zn compared with other treatments. All treatments were considered acceptable. Treatment containing 95% permeate,1% skim milk powder and 4% chickpea was the most preferable in sensory properties than others. The presence of Bifidobacterium bifidum in the produced fermented milk drink from permeate can be used as a probiotic dairy product and also, can be considered a good source of vitamin (C), essential amino acids , calcium and phosphorus.
Bacterial Succession in Karst Calcareous Soils
Derived from Different Development Stages
in Southwest China

It is known that soils derived from different parent materials drive the distinct bacterial community structures, however, the influence of soils derived from the same soil parent material in different development stages of karst on the microbial diversity are unknown. In this study, three calcareous soils (including yellow, red and black calcareous soils) derived from different development stages in karst shrub ecosystems were collected at five profile layers up to 100 cm deep, and were determined bacterial communities by using Illumina amplicon sequencing and quantitative polymerase chain reaction (qPCR) techniques. The results showed that Proteobacteria, Firmicutes, Acidobacteria, Chloroflexi, and Verrucomicrobia dominated the calcareous soils from karst shrub ecosystems. The relative abundances of Proteobacteria and Firmicutes increased with the increasing profile depth in three calcareous soils, while Acidobacteria and Verrucomicrobia were opposite. The diversities of bacterial communities in topsoil layers at 0~40 cm depths were higher than those of layers below 40 cm deep, but became similar at depths below 40 cm. The bacterial community structures differed among three calcareous soils, and were different between the surface layers and the other layers in all soils. The abundance and structure of bacteria was strongly related to soil organic carbon, suggesting their importance for carbon cycle. Path analysis showed that soil bacterial community structure can be directly influenced by calcareous soil type, and indirectly impacted by soil depths through soil properties. Our findings revealed that calcareous soil type was an important factor in determining soil bacterial community structure, and bacterial succession was closely related to the formation of calcareous soil in karst regions.
Characterization of carbohydrate fractions of cassava plant meal and its utilization by growing pigs

This research was carried out to evaluate the carbohydrate fractions of Cassava Plant Meal (CPM) and its utilization by growing pigs. CPM was prepared from milled sun-dried unpeeled cassava tuber plus leaves plus tender stems mixed in ratio 2.5:1. The proximate and carbohydrate fractions of CPM were determined. The CPM was included in the diets of growing pigs to replace maize at 0 %, 25 %, 50 %, 75 % and 100 % levels corresponding to T1, T2, T3, T4 and T5, respectively. Twenty growing crossbred (Large White x Hampshire) pigs (10 .0 + 0.5 Kg) were used for the growth trial which lasted eight weeks. The proximate composition showed that CPM had 9.77 % crude protein, 5.35 % crude fibre, 3.38 % ether extract, 4.40 % ash and 65.70 % nitrogen free extract. The starch content of CPM was 1.91 % while the non-starch polysaccharides were 22.32 % for neutral detergent fibre, 10.96 % for acid detergent fibre, 4.15 % for lignin, 11.36 % for hemicelluloses and 6.81 % for cellulose. The final body weight, average daily gain and feed to gain ratio were higher in pigs fed all the CPM diets (p >0.05). However, daily feed intake of the pigs increased (p <0.05) with increasing levels of CPM in the diets. It can be concluded based on the findings in this study that CPM was low in starch, higher in soluble non starch than insoluble non starch polysaccharide with proximate values similar to that of maize. Also, CPM could replace maize completely in the diets of growing pigs without any deleterious effects on the growth response. The inclusion of CPM to replace maize could also lead to reduction in feed cost per kilogram gain of growing pigs
CORPORATE GOVERNANCE ON CONGLOMERATES POLLITICALLY CONNECTED

The paper aims to explain literature review and phenomenon about relationship between political connection and commissioner board effectiveness with conglomerates performance listed at Indonesia Stock Exchange. Strong political connections on conglomerates in Indonesia become an indication of poor corporate governance. Many officials active and non-active sitting as commissioners board on conglomerates indicated that political connections with the authorities in order to obtain benefit political connections among various facilities, such as the ease of access to funding, access gained government procurement contracts, obtaining large subsidies and waivers tax rates, access to the licensing trade, security guarantees on investment companies and other conveniences. They ignore good corporate governance which the board of commissioners as monitoring functions for management act as a political rent-seeking. Based on literature study and phenomenon, this paper result a model about the relationship of political connection and commissioners board effectiveness with conglomerates performance.
A machine learning based approach to classify autism with optimum behavior sets

Machine Learning based behavioural analytics emphasis the need to develop accurate prediction models for detecting the risk of autism faster than the traditional diagnostic methods. Quality of prediction rely on the accuracy of the supplied dataset and the machine learning model.To improve accuracy of prediction, dimensionality reduction with feature selection is applied to eliminate noisy features from a dataset. In this work an ASD diagnosis dataset with 21 features obtained from UCI machine learning repository is experimented with swarm intelligence based binay firefly feature selection wrapper. The alternative hypothesis of the experiment claims that it is possible for a machine learning model to achieve a better classification accuracy with minimum feature subsets.Using Swarm intelligence based single-objective binary firefly feature selection wrapper it is found that 10 features among 21 features of ASD dataset are sufficient to distinguish between ASD and non-ASD patients.The results obtained with our approach justifies the hypothesis by producing an average accuracy in the range of 92.12%-97.95% with optimum feature subsets which is approximately equal to the average accuracy produced by entire ASD diagnosis dataset.
Texton Based Segmentation for Road Defect Detection from Aerial Imagery

Road defect especially potholes and road cracks is caused by insufficient pavement thickness, insufficient drainage, failures at utility trenches and castings, and pavement defects and cracks that left unmaintained and unsealed [1]. Potholes grow from cracks on the road surface into several inches of widths or depths. Road defect can damage vehicles tires, wheels, and suspensions. In a highway, it can cause serious accidents. Therefore, the government releases an online complaint system that utilizes information system and GPS technology.
An index based approach to identify and prioritize critical areas for reclamation using SWAT model

Erosion by water leads to considerable impacts on natural ecosystems and is accelerated in regions with high land use changes. In this study, through applying the K-means clustering approach on the output of SWAT model, the critical areas with respect to water erosion for Farsan Basin was prioritized for Best Management Practices (BMPs). Based on the results of SWAT model, three pollutant indicators were developed: i) contaminat Load per Unit Area Impact Index (LUAII), ii) contaminates Concentrating Impact Index (CII) and iii) the contaminat Load Impact Index (LII). The basin was divided into 26 sub-basins and according to the clustering results; the southern sub-basins which are situated on sloped areas (more than 25 degrees) were classified as high priority areas for management practice based on all indices. Sub-basins that are located in west, south west and south east have medium priority. These sub-basins are very sensitive to land use change including decreasing rangeland and increasing farming area. Among all sub-basins, those which are placed around two major streams are in stable condition because of low slope and low land use change. Finally, using the results of pollution indicators, we showed it was possible to reduce sediment and nutrient waste through implementing best management methods.
Implementation of Green Marketing Strategies and Green Purchase Behavior as Efforts to Strengthen the Competitiveness of MSMEs in Indonesia

The contribution of UMKM business actors is considered quite significant for the development of the economic structure, however, the UMKM sector players must still manage their strategies so that this contribution can continue to grow. To achieve sustainability and continue to make a positive contribution, MSMEs must have a business strategy and competitive power that are relevant to market conditions. The discussion about environmentally friendly products is increasingly being discussed. The high people's willingness to buy environmentally friendly products illustrates that more and more consumers are starting to become aware of environmental conservation and minimize environmental pollution due to the consumption of certain products. This is considered as an opportunity, companies try to respond positively and encourage companies to do innovative things by introducing new business strategies known as green marketing strategies. Researchers will try to see how green marketing strategies influence the trust of green customers, then how green marketing strategies and green customer trust affect green purchase intention and green purchase behavior in the MSME sector, especially in the type of handmade environmentally friendly Indonesian products. This study used the PLS (Partial Least Square) data analysis method using the SmartPLS version 3. The respondents in this study were 350 respondents spread across several regions of Indonesia. The technique of distributing questionnaires used the snowball sampling method. The research result states that green marketing strategies, green customers, and green purchase intention have a very big influence in shaping the behavior of purchasing environmentally friendly products for green consumers.
Inferring population structure and genetic diversity of the invasive alien Nootka lupin in Iceland

Polar and subpolar regions are known for their particular vulnerability and sensitivity to the detrimental effects of non-indigenous species, which is well exemplified by the Nootka lupin (Lupinus nootkatensis) spread in Iceland. Since understanding the population and ecological genetics of invasive alien species offers hope for counteracting harmful biological invasions, the objective of the present study was to investigate interspecific variation in L. nootkatensis in Iceland in relation to a native population in Alaska. Moreover, we aimed to assess whether internal transcribed spacer 2 (ITS2) has sufficient phylogenetic applicability for a large-scale screening of the genetic diversity of a non-indigenous population of this species. This study, which is the first attempt to investigate the genetic diversity of the Nootka lupin in Iceland, included plant samples from eight locations in Iceland and one in Alaska. The analyses included genotyping by sequencing of the 417-nucleotide fragment of the 5.8S ribosomal RNA, ITS2 and part of the large subunit ribosomal RNA (GenBank MT026578-MT026580, MT077004). The main findings showed the presence of five previously unexplained single-nucleotide polymorphisms (SNPs); however, their discriminatory power for Icelandic populations was relatively low, since polymorphism information content (PIC) values ranged from 0.0182 to 0.0526, with average heterozygosity 0.0296. Concomitantly, analysis of multilocus genotypes (MLG) revealed sufficient differences in MLGs variants and their frequency to form genotypic patterns unique for Alaskan and Icelandic populations, revealing an internal genetic structure of the studied group. The proposed SNP panel needs to be supplemented with other nuclear and organellar markers.
Incorporating student voice in course development

This paper explores how students start to become co-constructors of their curriculum on a BA Hons SENDI course, using Loe’s model of relational proximity (2016) to inform this dialogue. Focused discussion groups served to clarify students’ expectations of course delivery and whether the course was meeting their expectations. This provided positive change to participants involved in the research process, encompassing student academic voice to enable a more co-constructed curriculum. Evidence of this was established whilst interrogating formative and summative feedback data which identified the strengths and challenges within a 12-month period. Results of this study include students feeling more settled and supported and being able to voice options to achieve change. The combination of guest lectures, work experiences and external trips helped to enhance understanding of course content and how to implement knowledge into real life experiences. Students have a more positive experience of the course and the use of student voice will continue to be incorporated in future course developments.
Analysis of bacterial community in membrane-separation bioreactors by fluorescent in situ hybridization (FISH) and denaturing gradient gel electrophoresis (DGGE) techniques

The bacterial communities of membrane-separation bioreactors (MBR) fed with raw sewage were analyzed by a pilot scale study. The community was analyzed by both Fluorescent in Situ Hybridization (FISH) and PCR-DGGE (polymerase chain reaction-denaturing gradient gel electrophoresis) techniques. Five rRNA targeted group specific oligonucleotide probes showed that the alpha- and beta- subclasses of proteobacteria were the most dominant groups among them. The identification of ammonia-oxidizing bacteria in MBR was confirmed by three probes: NEU, Nsv 443 and Nso 190. Mostly the ammonia-oxidizers were found in groups and present in the form of clusters or aggregates. The ratio of NEU/EUB was estimated by double hybridization and image analysis techniques as 6%. The Nitrobacter sp. was also identified inside the MBR with the help of a NIT3 probe and they were also found to be present in the form of a cluster. Usually the clusters formed by the Nitrobacter sp. were smaller than those of ammonia-oxidizing groups. After numerical analysis on the band pattern of DGGE, it was found that the MBR bacterial communities were different from that of conventional activated sludge (CAS) communities with dissimilarity indexes more than 0.6. The diversity of the microbial community was estimated by the Shannon-Weaver index of general diversity. It was found that the value of the diversity index for the CAS process was 1.61 while those for two MBR processes were 1.68 and 1.59.
Research Summary of Socialized Q & A Community under the Background of Computer Information Technology

The emergence of Web2.0 technology and the development of social media provide technical support for the establishment of social Q & A community. The rise and vigorous development of social Q & A community has also caused a wave of research on social Q & A community by scholars at home and abroad. Through reading the relevant literature at home and abroad, the author found that the research results of scholars at home and abroad mainly focused on the platform, technology, questions, answers and users.
Mass Transfer Modeling of CO2 Absorption into Blended Aqueous MDEA–PZ Solution

In this research, the rate of CO2 absorption into methyl diethanolamine–piperazine (MDEA–PZ) solution was investigated. To model the mass transfer flux in the reactive absorption processes, the dimensionless parameters of the process were obtained using the Buckingham Pi theorem and considering the effective parameters in mass transfer. The CO2 mass transfer flux in the reactive absorption process depends on the mass transfer parameters of both the liquid and gas phases. Based on the dimensionless parameters obtained, a correlation is proposed to calculate the mass transfer flux of acidic gases in MDEA–PZ solutions. The mass transfer flux in the reactive absorption process is modeled based on the four laws of chemical equilibrium, phase equilibrium, mass balance, and charge balance. Experimental data from the literature were used to determine the constants of the derived correlation as a function of dimensionless parameters. In the provided correlation, the effects of dimensionless parameters including film parameter, CO2 loading, ratio of diffusion coefficients in the gas–liquid phase, CO2 partial to total pressure, and film thickness ratio as well as factors such as temperature, the number of free amines in the solution, the partial pressure of CO2, on the CO2 mass transfer flux were investigated. According to the results, the absorption rate decreases with increasing CO2 loading and film parameter, and the mean absolute deviation is about 3.6%, which indicates the high accuracy of the correlation.
Explaining to different audiences the new definition and experimental realizations of the kilogram

Abstract. Different options were discussed before reaching the final agreement on the new definitions of the SI units, effective from 20 May 2019, especially with regard to the kilogram, now defined in terms of the numerical value of the Planck constant ( h ). Replacing the artefact definition of the kilogram with a new one based on the mass of a particle, or the atomic mass constant ( mu ), would have been preferable for ease of understanding, among other reasons. In this paper we discuss some limitations of teaching to different audiences what a kilogram is in the redefined International System of Units (SI), including realizations of the new definition.
Internet Addiction, Sleep Quality and Depression among Undergraduate Medical Students in Nepal

Introduction: The virtual life of internet has taken away the real-life experiences. Prevalence of internet addiction, poor sleep quality and depression is increasing worldwide. Medical education is grooming in Nepal, but the evidence on, internet addiction, quality of sleep and depression in undergraduate medical students in Nepal is lacking. Objective: To find out the prevalence of internet addiction, poor sleep quality and depression among undergraduate medical students and to measure the associations of poor sleep quality, internet addiction and depression with selected variables. Methods: A descriptive cross sectional, questionnaire-based survey was carried out among 506 undergraduate medical students enrolled from first year to final year at two medical colleges in Lalitpur and Birgunj in Nepal. The data were collected using Young’s 20-item Internet Addiction Test (IAT), Patient Health Questionnaire-9 (PHQ-9) and Pittsburgh Sleep Quality Index (PSQI). Both descriptive (frequency, percentage) and inferential statistics (Chi-square test) were used to analyze data in SPSS vs20. Results: The proportion of participants meeting criteria for poor sleep quality was 42.29%, internet addiction was 39.33% and depression was 16.60%. There was significant association of poor sleep quality with age (p<0.001), tobacco use (p<0.001), sexually active behaviour (p<0.001) and academic performance (p<0.001). Similarly, there was significant association of internet addiction with age (p<0.001), sex (p<0.001), sexually active behaviour (p<0.001) and academic performance (p<0.001). Likewise findings also revealed that there was significant association of depression with age (p=0.001), sex (p<0.001), year of study (p<0.001), sexually active behaviour (p=0.035) and academic performance (p=0.011) Conclusion: The study findings reveal a high prevalence of poor sleep quality, internet addiction and depression in undergraduate medical students from Nepal. Furthermore, the findings suggest that sleep quality, internet addiction and depressive symptoms are associated with age, sex, sexually active behavior, tobacco use, year of study and academic performance. So, to lower the burden of depressive symptoms, enhance the quality of sleep and reduce the addiction of internet among undergraduate students, educational institution can play a vital role by considering these associated factors.
The implementation of balinese folflore-based civic education for strengthening character education

The objective of this study is to analyse the affectivity of satua (Balinese folklore)-based character education in the instructions of civic education in primary schools in Buleleng Regency, Bali. This study used the experimental design in testing the affectivity of folklore-based instructions in the competency and character of primary school students. The instruments used to collect data in this study were questionnaires, test of learning outcomes, score inventory and self-evaluation. The questionnaire was designed to find out the feasibility of folklore-based instructions. The test on learning outcomes was used to find out their scores. The data analysis used the multivariate analysis of variance. The results of the study indicated that a) learning using Balinese folklore is better than conventional learning in students’ civic knowledge, b) learning using Balinese folklore is better than conventional learning in students’ attitude and c) learning using Balinese folklore is better than conventional learning in students’ skills.
Big Data and Social Media Qualitative Research Methodology

The paper demonstrates and evaluates a methodology for conducting big data and social media research using qualitative methods. Large-scale databases of customer-generated content in social media have captured scientific attention, producing an abundance of valuable information. However, only a few studies have used a qualitative approach to analyze big data. This paper presents the step by step process of managing big data and qualitative analyses integrating computational approaches. It is based on a study of dental tourism in Thailand as a case example to validate as well as to highlight the advantages and limitations of the methodology