Group Relationship Mining of College Students Based on Predictive Social Network

With the rapid development of the Internet, social networks have shown an unprecedented development trend among college students. Closer social activities among college students have led to the emergence of college students with new social characteristics. The traditional method of college students’ group classification can no longer meet the current demand. Therefore, this paper proposes a social network link prediction method-combination algorithm, which combines neighbor information and a random block. By mining the social networks of college students’ group relationships, the classification of college students’ groups can be realized. Firstly, on the basis of complex network theory, the essential relationship of college student groups under a complex network is analyzed. Secondly, a new combination algorithm is proposed by using the simplest linear combination method to combine the proximity link prediction based on neighbor information and the likelihood analysis link prediction based on a random block. Finally, the proposed combination algorithm is verified by using the social data of college students’ networks. Experimental results show that, compared with the traditional link prediction algorithm, the proposed combination algorithm can effectively dig out the group characteristics of social networks and improve the accuracy of college students’ association classification.

Nitrogen dose and sowing density in pea (Pisum sativum L.) crops, to obtain higher yields in Barranca [Dosis de nitrógeno y densidad de siembra del cultivo de arveja (Pisum sativum L.), para obtener mayor rendimiento en Barranca]

The research deals with nitrogen doses and sowing densities in peas. The objective was to determine which nitrogen dose and planting density obtained the highest yield. The methodology is based on applied research; Therefore, the statistical model of the Completely Random Block Design was used, which consisted of 3 blocks and 6 treatments. The doses were applied at 17 days 1/2 N, 100% P2O5 and 100% K2O and 62 days after sowing 1/2 N, it was evaluated from sowing to harvest and the data were processed by analysis of variance of two factors and Duncan, took leaf samples for foliar analysis and determined the total amount of nitrogen used. It was determined that T5 stood out in stem length with 128.42 cm, commercial yield with 12.53 tn/ha, T4 in weight of pods with 620 g, number of pods per plant with 48, T6 in nitrogen concentration with 6.60 g/ 100 g of dry matter and T5 in the amount of nitrogen used with 154.3 kg/ha that obtained the highest yield. It is concluded that the higher dose of nitrogen and less distance that is T5 obtained higher performance exceeding by 24.52% in relation to T1.

Nutritional content, performance and ratooning ability of four sorghum genotypes

Sorghum is a grain plant that is a source of food, biofuel and feed, which can be produced using the techniques of ratoon cultivation. The objective of this study is to assess the nutrition content, the performance of the four sorghum genotypes and the vegetative characteristics of the sorghum ratoon. The research was carried out from December 2020 to July 2021 at the Ciawi Research Garden, the Livestock Research Institute. The study employed four treatments (genotype) and three replications of random block design. The range of protein content, crude fat crude fiber and ash in the four genotypes of sorghum was 7.91-9.30, 1.91-2.69, 33.41-37.57 and 8.25-9.11%, respectively. Genotype significantly affected P<0.05 on plant height, stem height, leaf width, internode length, flag leaf width and fresh weight, but not significantly different P>0.05 on leaf length, stem diameter and flag leaf length on the main plant. Genotype had no significant effect (P>0.05) on plant height, number of tillers, leaf length, leaf width and fresh weight of ratoons. It was concluded that the ability of ratoon in sorghum was not affected by the genotype of sorghum.

Canopy Cover Temperature & Drought Tolerance Indices in Durum Wheat (Triticum durum Desf.) Genotypes under Semi-arid Condition in Algeria

This experiment was carried out at Setif Agricultural Experimental Station in Algeria during 2017–2018 crop season using five cultivars (Triticum durum Desf.) to determine differences in the relationship between (CT and drought resistance indices values based on their difference in yielding under irrigated and non-irrigated conditions and sown in a random block design with three replications. Our study aim to determine differences in the relationship between CT and drought resistance indices values and grain yield GY under both conditions to evaluate the effect of canopy temperature in drought tolerance of durum wheat. Five durum wheat (Triticum durum Desf.) genotypes were studied based on their difference in yielding under irrigated and non-irrigated conditions in conception of a random block design with three replications. The following measurements were applied: GY, CT canopy cover temperature depression CTD and seven drought tolerance indices (HM-SSI-GMP-STI-YSI-MP-TOL). ANOVA showed that genotype effect and irrigation regime effect were highly and significantly on CT and CTD under both stressed (s) and watered (i) conditions. The interaction Genotype×irrigation regime was significant for CT and CTD. PCA showed that CTDs was related with HM, GMP, STI, and MP in indication of drought tolerance, where CTDi was related with TOL and SSI in indication of drought sensitivity. A negative correlation showed between CT and CTD, higher values ​​of CT compared to environmental temperature implies negative values ​​of CTD which indicates drought sensitivity; on the other hand, CT values ​​lower than environmental temperature implies positive CTD values ​​indicating drought tolerance.

The effect of saga milk (Adenantera pavonina, L.) and yogurt starter culture concentration on process of yogurt

This study was aimed to obtain the formulation of saga milk (Adenanthera pavonina, L), with cow’s milk and yogurt starter culture concentration which is optimal in the manufacturing of yogurt-based saga milk. The analysis carried out periodically (0, 2, 4, 6 hrs after incubation time) was on the change of pH value, total acids concentration, and lactic acid bacteria (LAB), as well as the preference test of the product only on the finale product. The material used in this study were saga milk, cow’s milk and commercial yogurt starter culture consist of Lactobacillus acidophilus, Bifidobacterium, and Streptococcus thermophilus. This experiment design was random block design, factorial pattern (3×3). Factor a is the concentration of starter culture consisting of three levels by 3% (a1), 4% (a2), 5% (a3), and formulation of saga milk compared to cow’s milk (b) with the ratio of 40:60 (b1), 50:50 (b2), 60:40 (b3), this experiment replicated three times. The result showed that with more cow’s milk and yogurt starter culture concentration, the pH of yogurt decreased, which was accompanied by increased acidity. Although LAB in products with a starter culture 3% and 4% were slightly lower than in products with 5% starter but not significant (p = 0.05). The addition of the starter culture increased the acceptance of panelists. The addition of saga milk, up to 60%, provides results that can still be accepted with the addition of coco-pandan syrup by panelists. The preferred saga yogurt has a white color like cow’s milk, with sufficient viscosity and an acceptable taste

Empirical dependence of the probability of blocks rotations on the diffusion coefficient in a cellular automaton with a Margolus neighbourhood

The paper considers a cellular automaton approach to modeling physical processes, in particular, the diffusion of pulsed periodic gas discharges in plasma. An attempt to determine the dependence of the probability of the block rotation on the diffusion coefficient for a cellular automaton diffusion model with a Margolus neighborhood is describe. Some features of the tensor approach to the implementation of random block cellular automata are described. The results of computer experiments are presented. The analysis of this results indicates that the data from the literature sources differ from the data obtained during the experiment.

Impact of soil treatment with alkaline zinc carbonate on the quantity and quality of maize (Zea mays L.) yield

Our research conducted at the Department of Soil Management was aimed at investigating whether maize (Zea mays L.) would respond to a supply of zinc as a micro-element. We expected an increased yield and/or improvements in certain quality factors, such as a greater oil and starch contents. Soil fertilization experiments were performed with a basic zinc-carbonate active agent, under field conditions, in brown forest soil with clay illuviation, in a random block arrangement. Four iterations of the experiments were done in the vicinity of Zimány village in South-West Hungary. Maize served as our test crop. In 2010 we tested the first-year impact of the active agent, while in 2011 we evaluated its retard effect. In 2010 each of the examined quality attributes showed most improvement in response to the 100 kg ha-1 treatment, which corresponded to the largest dose applied in the study. Out of the examined yield elements the average values of the cob mass and the unfertilized cob length were greatest in 2011, because of the 25 kg ha-1 treatment, the lowest dose in the experiment, while with respect to the grain/cob ratio the 50 kg ha-1 treatment was found the most effective.

Botanical and mineral composition of dominant wild forages for feeding of dairy goats in Payakumbuh Region

The objectives of this study were (i) to identify the diversity of forages that are usually consumed or fed to the dairy goats, (ii) to assess the mineral composition of dominant forages concerning the soil mineral status of growing areas. Eight dairy goat farms surveyed and collected forage samples to define the diversity and dominant forages used to feed the goat. Samples of three dominant forages (Asystasia gangetica, Axonopus compressus, and Panicum maximum) and soils were then collected in five different areas where the farmers usually derived the forages (banana plantation, idle lands, riverbanks, roadside, and rice field edge). Plant samples were collected by using a plate meter used for the calculation of botanical composition. Fresh samples were then chopped, dried, and then ground in meal form before analysis for dry matter (DM), and minerals of Ca, P, Mg, K, Na, and S. The same minerals were analyzed for soil samples. Data were subjected to analysis of variance (ANOVA) in a completely randomized design of 5x3 consisting of 3 plant species and five growing areas as replications. Data were statistically analyzed using correlation and variance analysis in Random Block Design (RBD). Results showed of the total about 45 types of plants commonly consumed by goats, there were three dominant species, i.e., P. maximum (38.60%), A. gangetica (24.23%), and A. compressus (17.23%). The Ca content of forages highly correlated with the Ca in the soils, while magnesium in the forage was negatively correlated with the magnesium in the soil. It was concluded that the dominant forages were found a good source of Ca and Mg but deficient phosphorus.

VARIATION IN GROWTH AMONG NINE BOSNIAN HERZEGOVINIAN PROVENANCES OF SILVER FIR (Abies alba Mill)

UDK: 630*232:582.475(497.6) Provenance experiments with forest trees provide valuable information about the growth and adaptability of population, often transferred from remote geographical regions and various climate conditions. This study researches the growth of nine provenances of silver fir from the area of its natural distribution in Bosnia and Herzegovina. The experiment was established in the year 1991 in the form of a random block system with 5 repetitions. For planting, we used five-year-old seedlings (2/3), and planting spacing was 2x2 m. Each Silver fir provenance was included with 320 plants. Measurement results in the 28th year of age show the existence of variations between silver fir provenances in characteristics; mean height, mean diameter and average tree volume. Silver fir provenance from Bosanski Petrovac showed the best results. The mean height of this Silver fir provenance at the age of 28 was 9.1 m, while the mean diameter was 11.9 cm. Provenances that show the lowest growth (8.1 m) were from Pale, Olovo-Klis and Konjic. Silver fir provenance from Konjic has the lowest mean diameter (10.7 cm). In all provenances, we have had a culmination of height increment in age between 20 and 25 years. Variation between tested silver fir provenances for examined characteristic “mean height” was larger (four groups of population) compared to examined characteristic “mean diameter” (two groups of population). Volume of mean tree (0.062m3) and assortment (111.33 m3/ha) in Bosanski Petrovac provenance was larger than spreadsheet values for the first yield class for Central Europe conditions. The trial shows that silver fir in Bosnia and Herzegovina is variable on the local level due to specific micro-habitual conditions in which it grows.