Miracle-dz/UniFAR-FTUs huggingface dataset:
Comments on “The Solution of a Mathematical Model for Dengue Fever Transmission Using Differential Transformation

The mathematical model for dengue fever transmission studied by [1], has been re-investigated. The differential transformation method (DTM) is used to compute the semi-analytical solutions of the non-linear differential equations of the compartment (SIR) model of dengue fever. This epidemiology problem is well-posed. The effect of treatment as a control measure is studied through the growth equations of exposed and infected humans. The inadvertent errors in the recurrence relations (DTM) of equations for dengue disease transmission including initial conditions have been removed. Furthermore, the semi-analytic solutions of the model are obtained and verified with the built-in function AsymptoticDSolveValue of Wolfram Mathematica. It has been found that results obtained from the DTM are valid only for small-time t (t < 1.5), as t becomes large, the human population (exposed and recovered) and infected vector population become negative. DOI:10.46481/jnsps.2021. 170
Mispronunciation and Substitution of Mid-high Front and Back Hausa Vowels by Yorùbá Native Speakers

The mid short vowels: /e/ and /o/ are among the vowels shared between Hausa and Yorùbá but differ in Hausa mid-high long, front and back vowels: /e:/ and /o:/. The phonemic differences in the two languages have caused learning difficulties among the Yorùbá native speakers to achieve their second language learning desire and competence. Yorùbá-Hausa learners mispronounce certain disyllabic Hausa words due to the substitution of vowels in the first and second syllables. Thus, both lexical and grammatical meanings of the Hausa words are affected. This study examined the production of the 12 Hausa vowels by level 1 and level 3 students who were learning Hausa as a second language to determine if there was a significant difference in how level 1 and level 3 students pronounced the short and long mid-high, front and back Hausa vowels. 88 Yorùbá native speakers were recruited using purposive sampling. Twenty-four different wordlists extracted from Bargery's (1934) Hausa-English dictionary and prepared in carrier phrases were audio-recorded. It was a mixed-method, and the results were discussed within the theoretical framework of Flege and Bohn's (2020) Revised Speech Learning Model and Corder's (1967) 'Error Analysis Model'. The results of the Mann-Whitney U test revealed that participants in level 1 generally performed lower than level 3 participants in the pronunciation of mid-Hausa vowels due to substitutions. Such errors have pedagogical implication in learning Hausa as a second language, and if not addressed accordingly, the standard of Hausa will continue to fall at an undesirable and alarming rate.
Intraspecific diversity of Vigna subterranea accessions obtained from multinational sources

Bambara groundnut is a legume with balanced meal. The present study investigated agro-morphological diversity of 61 Bambara groundnut accessions whose passport data were from 21 countries. The Genetic Resources Centre (GRC), International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria provided the 61 accessions. The accessions were established in row plots of ten plants on the field at the Centre for Ecological studies, University of Port Harcourt, Nigeria. Seventeen quantitative and two qualitative traits were recorded from the sampling units for each accession. Descriptive and multivariate statistical analysis were employed on the 61 x 19 matrix mean data. Significant variation exists among the 61 accessions for the 19 descriptors. Mean genetic similarity among the 61 accessions was 0.78, the least (0.48) similarity was between TVSu1750 and TVSu250 and the highest (0.92) was between TVSu391 and TVSu415. TVSu1843 flowered earliest at 35 days. The 61 accessions were grouped into three main clusters. TVSu1964 and two accessions from Malawi (TVSu1748 and TVSu1750) in cluster III had high grain yield. Accessions in cluster II were significant for both vigour and grain yield. Striking uniformity and diversity existed among accessions from the same country. Genetic improvement in vigour and grain yield of Bambara groundnut is possible within each country.
Antioxidant activity of Capsicum frutescens and its effect on sensory and carcass traits of local chickens

This study determined the antioxidant activity of Capsicum frutescens powder and its effect on sensory and carcass characteristics of local chickens fed with either cotton seed cake or sunflower seed diets for thirty seven days. The birds were randomly assigned to four dietary treatments (0, 1.1, 2.2 and 4.4%) of C. frutescens powder. For cotton seed cake diets, 15 birds were replicated thrice per treatment whereas the replication was twice for sunflower seed cake diets. The antioxidant activity scores based on 1,1-diphenyl-2-picryl-hydrazyl (DPPH•) radical scavenging activity at concentrations 100, 200, 400, and 500 µg/ml were 17.1, 20.8, 29.8, and 33.3%, respectively. Further, sunflower diets with 2.2% inclusion level increased carcass yield with respect to heart weight (4 g, p=0.01), proventriculus weight (4.25 g, p=0.02) and intestine weight (82.5 g, p=0.01). In contrast, no improvement but negative effects were observed when C. frutescens was included in cotton seed cake diets. Furthermore, results showed that none of the inclusion levels of C. frutescens had an effect on texture, taste, juiciness and overall acceptability of chicken meat. This study suggests that the carcass yield of local chicken can be improved through including C. frutescens at a level of 2.2% in diets constituted with sunflower seed cake. Key words: Flavor, taste, texture, performance, sunflower.
Regeneration of Hemidesmus indicus (L.) R. Br. using in vitro nodes: an alternative method for efficient multiplication of shoots

In vivo nodes of Hemidesmus indicus (L.) R. Br. induced healthy multiple shoots with branching in our earlier studies and thus in the present study, potency of in vitro nodes to regenerate shoots was evaluated. In vitro nodes were excised from eight-week-old shoots and placed in Murashige and Skoog’s (MS) medium fortified with sucrose (3%) and different concentrations of 6-benzyladenine (BA) and kinetin (Kn). After eight weeks, optimum of 5.42 ± 0.36 shoots with 100% response were regenerated in medium supplemented with BA (10 μM) and Kn (5 μM). These healthy shoots were placed in full, half and quarter strengths of liquid MS medium fortified with sucrose (1%) and α-naphthaleneacetic acid (NAA, 1-25 μM) for rooting. Among all the strengths of MS medium, full strength MS medium having 8 μM NAA formed maximum of 3.42 ± 0.55 roots (91.67% response) within four weeks. The protocol is in continuation with earlier study and it was confirmed that a single in vivo nodal explant can regenerate around 385 healthy elongated shoots within 4 months, which will help in mass-propagation of the species.
Different sources of phosphorus fertilizers and soil amendments affected the phosphorus and cadmium content in soil, roots and seeds of maize (Zea mays L.)

Received : 15/04/2020 Accepted : 01/02/2021 Phosphorus (P) fertilizers contain cadmium (Cd) as a contaminant at levels varying from trace amounts to high levels and therefore, can be a major source of Cd to agricultural systems. This study was designed to assess the impact on application of Eppawala rock phosphate (ERP) and triple super phosphate (TSP) as P fertilizers and different soil amendments on P and Cd uptake in maize (Zea mays L.). The field trial was carried out at Field Crop Research and Development Institute at Mahailluppallama, Sri Lanka. A randomized complete block design was employed with three replicates as ERP and TSP separately applied with arbuscular mycorrhizal fungi (AMF) and three types of amendments (biochar, compost and dolomite) and the control without adding P fertilizers. Phosphorus content and Cd content of soil, maize roots and seeds were quantified. Results revealed that available soil Cd and total accumulated root and seed Cd amounts were significantly higher in TSP added treatments with and without amendments compared with ERP added soil. Considering soil available P, root and seed P, there was no significant difference observed in different treatments of TSP and ERP added treatments. A similar phenomenon was also observed in growth and yield parameters with both fertilizers added and with the added amendments. There was no colonization of AMF in maize roots in TSP applied soil while 25-60% of colonization was recorded with ERP. Synthetic fertilizer (TSP) must have inhibited the AMF colonization and thereby increasing the Cd content in maize seeds. AMF colonization increased with comparatively low soil available P in ERP added treatments. The results revealed that TSP could be effectively substituted by ERP as a source of P for maize soils. The addition of AMF, compost and biochar further increased the effect.
HIGHER EDUCATION AS A DRIVER OF THE DIGITAL ECONOMY DEVELOPMENT

The purpose of the current study is to analyze the impact of higher education and universities on the dynamics of the digital economy. The authors hypothesized to distinguish three components (educational, research, innovation) in the digital economy development. Within this article, the results of using index and cluster analysis methods to determine the impact of the educational component on the processes of digital economy development in Ukraine at the macroeconomic and meso-economic levels are presented. The special attention is put on the educational component because the higher educational institutions concentrate intellectual capital of the country, as well as prepare future specialists for the needs of digital economy. Moreover the universities’ scientists make an impact on digital economy development by conducting research and transferring their results technological innovations, information and communicational technologies, etc.) into the real economy. During the research, main problems of digital economy development, determined by the poor quality of educational services, insufficient commercialization of university research results in the real economy, are identified. The authors conclude that solving the identified problems requires synchronization of interests and establishing a long-term partnership between universities, business, the state and the public. Importance of optimizing the state regulatory influence on economic entities in the context of digitalization of the national economy is emphasized. In particular, it is proposed to group the set of measures of state regulation into three vectors, namely: neutral-encouraging (support of positive dynamics of intensive development), incentive-providing (resource and information support of development processes) and initiative-mentoring (motivation and coordination of development processes).
SciConceptMiner: A system for large-scale scientific concept discovery

Scientific knowledge is evolving at an unprecedented rate of speed, with new concepts constantly being introduced from millions of academic articles published every month. In this paper, we introduce a self-supervised end-to-end system, SciConceptMiner, for the automatic capture of emerging scientific concepts from both independent knowledge sources (semi-structured data) and academic publications (unstructured documents). First, we adopt a BERT-based sequence labeling model to predict candidate concept phrases with self-supervision data. Then, we incorporate rich Web content for synonym detection and concept selection via a web search API. This two-stage approach achieves highly accurate (94.7%) concept identification with more than 740K scientific concepts. These concepts are deployed in the Microsoft Academic production system and are the backbone for its semantic search capability.
Presence and Importance of Oxidative Stress Parameters in Malignant Mammary Gland Tumors in Dogs

This study aimed to evaluate the presence of oxidative stress based on lipid peroxidation and the DNA damage markers malondialdehyde (MDA) and 8-hydroxy-2’-deoxyguanosine (8-OHdG) in canine mammary gland carcinomas using immunohistochemistry techniques. A total of ten malignant and six normal canine mammary tissue samples were evaluated. The specimens were fixed in 10% buff ered formaldehyde solution, processed routinely, embedded in paraffin wax, sectioned at 5 μm, stained with hematoxylin and eosin, examined under a light microscope, and photographed to detect histopathological changes. For immunohistochemistry, the avidin-biotin-peroxidase method was performed. All canine mammary gland tumors were immunopositive for MDA and 8-OHdG expression. There was a statistically significant increase in MDA and 8-OHdG expressions in the tumor group compared to the control group. Based on this study data, in the context of oxidative stress, it is proposed that lipid peroxidation and reactive oxygen species (ROS)-induced DNA damage are significantly associated with canine mammary gland tumor development. In addition, antioxidants may be useful in the treatment of canine mammary gland tumors.
Profiles and Characteristics of Balinese Cattle Breeders in The Covid-19 Era in The Village of Ayunan Badung, Bali

This study aims to determine the characteristics and profiles of Balinese cattle breeders in Ayunan Village during the Covid-19 pandemic. The method used is a survey method using primary data and secondary data. Sampling was carried out by using a purposive sampling questionnaire to 40 Balinese cattle breeders in Ayunan Village and who have experienced raising cattle for more than three years. The results showed that 77.5% of farmer respondents were in the productive age range, and 22.5% were in the age range over 64 years. Young and fertile breeders generally have a high level of education, so they tend to adopt innovation and technology more quickly. Experience increased respondents for 21 years to 30 years (35%). Long enough farming experience shows that the respondent breeders have adequate knowledge and skills in raising cattle. The education of the respondents 2.5% has no formal education, 25% has an elementary education, 12.5% has a junior high school education and 50% has a high school education, and 10% has tertiary education. Farmers' education level tends to influence thinking power and acceptance of innovation and technology. The average number of respondents' livestock ownership is 2.6 heads due to several factors, including limited forage or 20% of feed, because the determinant of business capital is 42.5% and cultivated as a side business of 37.5%. The majority of respondents who breeders have the main job as farmers / agricultural laborers 60%, only 5% of respondents who breeders have the main job as breeders.
Active teaching and learning methodologies: today's in health education

Objective: To identify and describe the active teaching and learning methodologies and the change in the health teaching movement. Method: This is a bibliographic review, of a descriptive character and qualitative approach, carried out in Health Sciences databases, including the Scientific Electronic Library Online (SciELO), Latin America and the Caribbean in Health Sciences Literature (LILACS) and BDENF (Nursing Database) through the Virtual Health Library. The search and collection of data occurred in no first semester of 2019. Results: Methodologies based on problems and projects, Learning Methodology based on Projects, Bloom's Taxonomy and Delphi Method, Mobile Applications can be considered the current active methodologies in the teaching-learning process. Conclusion: The role of the teacher, as a facilitator in the teaching-learning process, is fundamental to adapt to the new demands, to open up to the new pedagogical practices, to accept the challenges that the education of today and the future impose. DESCRIPTORS: Vocational Education; Health Education; Education Personnel.
Destination Decision Model for Cruising Taxis Based on Embedding Model

In Japan, taxi is one of the popular transportations and taxi industry is one of the big businesses. However, in recent years, there has been a difficult problem of reducing the number of taxi drivers. In the taxi business, mainly three passenger catching methods are applied. One style is "cruising" that drivers catches passengers while driving on a road. Second is "waiting" that waits passengers near by the places with many requirements for taxies such as entrances of hospitals, train stations. The third one is "dispatching" that is allocated based on the contact from the taxi company. Above all, the cruising taxi drivers need the experience and intuition for finding passengers, and it is difficult to decide "the destination for cruising". The strong recommendation system for the cruising taxies supports the new drivers to find passengers, and it can be the solution for the decreasing the number of drivers in the taxi industry. In this research, we propose a method of recommending a destination for cruising taxi drivers. On the other hand, as a machine learning technique, the embedding models that embed the high dimensional data to a low dimensional space is widely used for the data analysis, in order to represent the relationship of the meaning between the data clearly. Taxi drivers have their favorite courses based on their experiences, and the courses are different for each driver. We assume that the course of cruising taxies has meaning such as the course for finding business man passengers (go around the business area of the city of go to main stations) and course for finding traveler passengers (go around the sightseeing places or big hotels), and extract the meaning of their destinations. We analyze the cruising history data of taxis based on the embedding model and propose the recommendation system for passengers. Finally, we demonstrate the recommendation of destinations for cruising taxi drivers based on the real-world data analysis using proposing method. Keywords—Taxi industry, decision making, recommendation system, embedding model.
The Effect of Blended Learning Based on The Problem-Based Learning Model Assisted by Puzzle Media on The Critical Thinking Skills of Fifth Grade Students on Ecosystem Themes

The low competence of natural Science caused by using a learning model that is less than optimal makes it difficult for students to understand the learning material. This study aims to analyze the effect of blended learning based on a problembased learning model assisted by puzzle media on the critical thinking skills of fifth-grade students on the ecosystem theme of SDN 03 Pegundan. This type of research is an experimental study using a pre-experimental design in the form of a onegroup pretest-posttest design. The number of samples in this study was all students of class V SDN 03 Pegundan, totaling 26 students using saturated sampling type. Data collection in this study was obtained through interviews, tests, and documentation. The data analysis technique in this research is quantitative statistical data analysis techniques. This study obtained t-test results obtained t count > t table, 8.829> 1.706 and the results of hypothesis testing which stated that there was an effect of learning motivation, the regression test, the result was 62.1%. Based on the results of this analysis, it can be concluded that there is an effect of blended learning based on a problem-based learning model assisted by puzzle media on the critical thinking skills of fifth-grade students on the ecosystem theme of SDN 03 Pegundan.
Particulate fouling

• Define particulate fouling in membrane systems • Define and apply fouling indices for assessing particulate fouling • Present and discuss the basic equations governing particulate fouling at constant pressure and at constant flux • Present, discuss and apply the prediction model of particulate fouling in reverse osmosis and ultrafiltration systems • Understand the theoretical background of fouling indices and fouling prediction as well as the assumptions involved and weaknesses of these indices
Constraint and Unconstraint of Vector Autoregressive Model; Using GDP Growth Rate of Agriculture, Industries, Building/Construction, Whole-Sale/Retail and Services in Nigeria

In this research, multivariate Time Series was adopted to model the Gross Domestics Product (GDP) growth rate of Nigeria on five (5) variables namely: Agriculture, Industries, Building/construction, Wholesales/Retails trade and Services The data was collected from National Bureau of Statistics, range quarterly from 1985 to 2017, a total of 33years. Real (R) software was used as a tool to analyze the model. The data were grouped into 10 pairs of 2 parameter variables, 10 pairs of 3 parameters variables, 5 pairs of 4 parameters variables, and the complete 5 parameter variables. In each group, the best model was selected and Lag's using Akaike Information Criteria, then the unconstrained (vector autoregressive) AIC of the model was compared with that of constrained (simplified vector autoregressive) AIC model. The unconstraint models with AIC values (-11.973, -17.1111, -22.1823, and 25.8996) at lag (5) was compared with that of constraint models with AIC values of (-12.5116, -17.5298, -22.2894 and -25.9916), the outcome showed that constraint models performed better than unconstraint models.
Scaling of average receiving time and average weighted shortest path on weighted-crystal network

In this paper, we focus on a network with even nodes named the weighted-crystal network, which is different from the regular iterative rules. By employing the self-similarity of the crystal network, we study and calculate the average receiving time (ART) and average weighted shortest path (AWSP) after dividing the network into n + 1 blocks. In particular, we pay attention to the hexagon crystal network in order to obtain exact results. The obtained scaled results show that ART grows linearly or sublinearly with the iterative and increases with the weight factor r. Meanwhile, the results of AWSP indicate that AWSP exhibits a sublinear dependence on the network order when r = 1. Otherwise, AWSP tends towards constants when 0 < r < 1.
Investigating the influence of a cyclist on crowd behaviors on a shared road

This study investigated the influence of a cyclist on crowd behaviors on a shared road. A series of mixed traffic experiments of a cyclist and a crowd of pedestrians were conducted in a circular wide track under different densities and moving directions. The influence of the cyclist on the fundamental diagram of pedestrians showed a clear difference under unidirectional and bidirectional scenarios. The cyclist restricted the pedestrian flow evidently in the unidirectional flow, while in bidirectional flow, a critical density around 0.9 ped m−2 was observed, where the restriction on the motion of the crowd was not noticeable unless the critical density was reached. The speed of the cyclist also depended on the relative moving direction, but the discrepancy became negligible when the following effect was eliminated. The lane formation was quantitatively analyzed with Otsu’s method. The results showed that the formed lanes were more concentrated in bidirectional flow than unidirectional flow. When two lanes were formed, the distances between the lanes were larger in unidirectional flow. These differences could be explained by the cognition difference of pedestrians in mixed traffic under unidirectional and bidirectional scenarios. It was observed that a major effect of the cyclist on the crowd behavioral mechanism was the generation of backward propagated density waves. A Y-shaped pattern for the formation of high-density clusters was discovered, which implied that stable high-density clusters were likely to form as the forward propagated and backward propagated density waves merged. Moreover, in bidirectional flow, the generated backward propagated density wave could also promote the fading of stable high-density clusters by reducing the heterogeneity of density distribution. Our study helps to achieve a better understanding and modeling of the dynamics of pedestrian–cyclist in mixed traffic.