Efficacy of Purpureocillium lilacinum AUMC 10149 as biocontrol agent against root-knot nematode Meloidogyne incognita infecting tomato plant

Root-knot nematode Meloidogyne incognita is among the biotic factors which has greatly affected both the yield and the quality of the tomato crop. The egg parasitic nematode, Purpureocillium lilacinum (Pl) is considered as one of the most promising agents in controlling and overcoming this plant pathogen. The nematicidal effect of the native isolate Pl AUMC 10149 on second stage juvenile’s survival and egg hatching of M. incognita at different times of exposure was tested in vitro. The obtained data showed that Pl gave a maximum percentage of J2 mortality (97.6%) and egg hatching inhibition (79.8%) after 72 hours of exposure. The potentiality of Pl as well as Bio-Nematon to control M. incognita infecting tomato was conducted using different times of application in vivo. Nine treatments with five replicates were used for such bioagents compared with the nematicide Oxamyl. Each seedling was inoculated with 1000 J2s of nematode/pot and 10 mL of Pl (1x1010 CFU/mL) or Bio-Nematon spore suspension (1x108 CFU/mL) 10mL/pot. The results indicated that the most effective treatments in reducing nematode population, number of galls and egg masses of M. incognita in plant roots was performed with treatment by Pl pre-planting and post-infection with Pl (Rf 1.9) giving a significant enhancement in plant length (64.9%), fresh weight (72.52%) and shoot dry weight (163.41%) without negatively impacting environment. Therefore, the present study confirmed that using P. lilacinum AUMC 10149 can be used as a practical supplement to environmentally friendly disease management of root-knot nematodes in Egypt.

Digital Divide in Online Education During the COVID-19 Pandemic: A Cosmetic Course From the View of the Regional Socioeconomic Distribution

Objectives: During the pandemic, quarantine has led to the lockdown of many physical educational institutions. Thus, massive open online courses (MOOCs) have become a more common choice for participants. MOOCs are often flagged as supplemental methods to educational disparities caused by regional socioeconomic distribution. However, dissenters argue that MOOCs can exacerbate the digital divide. This study aimed to compare the participants' performance before and after the outbreak of COVID-19, analyze the impact of the epidemic on online education of cosmetic dermatology from the view of the regional socioeconomic distribution, and investigate whether MOOCs exacerbate the digital divide in the COVID-19 epidemic.Methods: The study was conducted in participants of the MOOC course Appreciation and Analysis of Cosmetics from January 2018 to December 2020. Based on the platform data and official socioeconomic statistics, correlation of multivariate analysis was used to determine the factors related to the number of total participants. A panel regression model and stepwise least squares regression analysis (STEPLS) were employed to further analyze the relationship between GDP, population, number of college students and number of total participants in different years in the eastern, central and western regions of China.Results: The number of total participants in 2020 surged 82.02% compared with that in 2019. Completion rates were generally stable in 2018 and 2019 before the COVID-19 pandemic and significantly decreased in 2020 after the outbreak of the pandemic. GDP was the most important socioeconomic factor that determined the total number of participants and it was positively related to the total number of participants before and after the outbreak of the pandemic. The number of college students was unrelated to the total number of participants before the epidemic, and after the outbreak of COVID-19 in 2020, the number became positively related in all regions of China.Conclusions: This study shows that the epidemic pushes more people to choose MOOCs to study cosmetic dermatology, and online education could exacerbate rather than reduce disparities that are related to regional and socioeconomic status in the cosmetic field in the COVID-19 pandemic.

PENGARUH AHH, IDG, DAN JP TERHADAP IPM DI INDONESIA

This study examined the influence of the Life Expectancy Rate, Gender Empowerment Index, and Population Number on the Human Development Index in Indonesia. This study used panel data with time- series data for 6 years from 2015 to 2020 and cross-section data for 5 provinces in Indonesia obtained from the Central Bureau of Statistics. The method of data analysis used was the Random Effect Model using Eviews 10. The results indicated that the life expectancy rate positively and significantly influenced the human development index, the gender empowerment index positively but insignificantly influenced the human development index, and the population negatively and insignificantly influenced the human development index. The researcher hopes that the government can improve the quality of human resources in the fields of health and education so that later the community can compete with other provincesKeywords:Human Development Index, Life Expectancy, Gender Empowerment Index, and Population

Determining the impact of digitalization on the economic security of trade

The modern system of relations between countries is being transformed with the spread of digitalization. Accordingly, there is a need to study the practical aspects of digitalization of trade as a major component of international relations. Therefore, this study aims to determine the impact of digitalization processes on the performance and economic security of trade. The main directions for the development of digitalization in trade were determined and the influence of digital technologies on the economic security of trade entities (enterprises) was investigated. The main components of the economic security of trade enterprises were identified. The main difficulties in the development of the digital economy were highlighted. The main directions for the development of digitalization of trade enterprises were determined. The list of factors that most influence the formation of trade turnover was substantiated: income of the population, number of trade workers, inventories, producer price indices, digital technologies (telecommunications, data processing, etc.). Methods of economic statistics (statistical observation, dynamic and structural analysis) were used to test the hypothesis of the relationship between informatization and economic security of trade enterprises. Methods of correlation and regression analysis were used to study the strength of the relationship between the volume of turnover and the factors that determine it. Based on the modeling, a statistically significant relationship was identified between the indicators of the volume of information and related services and trade volumes, which confirms the dependence of the economic security of trade enterprises on digitalization. The proposal to supplement the already existing methodology for assessing the economic security of the trade enterprise with indicators reflecting the impact of digital technologies was justified. The results of the study can be useful for adapting strategies for the development of trade enterprises in the context of the global digital ecosystem.

Transgressive variability in the number of ears of the main spike in F2 populations when crossing soft winter wheat varieties of different early maturity.

Aim. Determination of the degree and frequency of positive transgressions by the number of ears of the main spike in F2 populations created by crossing varieties of soft winter wheat of different maturity depending on the hydrothermal conditions of the year and selection of economically valuable biotypes for subsequent breeding work. Methods. Field, laboratory, mathematical and statistical. Results. In the majority of F2 populations, created by hybridization of soft winter wheat varieties of different vegetation periods, a significant form-making process took place in terms of the number of spikelets in the main spike. The experimental data obtained indicate a significant effect of matched pairs before hybridization and hydrothermal conditions of the year on the manifestation and formation of the number of spikelet’s in an ear F2. So, under the conditions of 2019, the majority of F2 populations for the number of spikelet’s in the main spike (17.4–21.5 pcs.) Significantly exceeded the parental forms. A positive degree (Td = 5.3–33.3 %) and the frequency of transgression (Tf = 3.3–96.7 %) were found in 85.7 % of the populations. In 2020, the average population number of spikelets in the main spike (15.0–18.6 pcs.) Was significantly less. When used in hybridization of early maturing varieties by the parent form, the decrease in the number of spikelets was 0.5–19.9 %. At the same time, for crossing mid-early, mid-ripening and mid-late varieties, the number of spikelets decreased by 2.8–28.9 %. Thus, it can be argued that populations in which early maturing varieties were the maternal form are less exposed to unfavorable conditions of the year. A positive degree (Td = 5.3–38.9 %) and the frequency of recombinants (Tf = 3.3–46.7 %), under the conditions of 2020, was established in 35 out of 42 F2 populations, which amounted to 83.3 %. Conclusions. The use of winter wheat varieties of different early maturity in hybridization in most cases contributes to the formation of F2 in populations and the selection of positive transgressive biotypes by the number of spikelets in the main spike. Conducted studies have established a significant effect of the parental forms used in hybridization and the hydrothermal conditions of the year on the formation of the number of spikelets in the main spike in F2 populations of soft winter wheat. Populations where the early maturing varieties were the maternal form are characterized by a more stable manifestation of the number of spikelets in the main spike. The decrease in the number of spikelets in 2020 compared to 2019 was 0.5–19.9 % for 2.8–28.9 % in populations obtained by hybridization of mid-early, mid-ripening and mid-late varieties. In years with contrasting hydrothermal conditions, hybrid populations F2 were identified, which formed more than the average F2 number of spikelets in the main spike and had high rates of the degree and frequency of positive transgressions, namely: Mironovskaya early / Kolchuga; Kolchuga / Stolichnaya; Shchedraia niva / Vidrada; Antonovka / Stolichnaya.

Migration trends in the Arctic zone of Russia in 2012-2019

The study focuses on long-term migration in the Arctic zone of the Russian Federation. The Arctic migration trends are very different from those observed in the rest of the Russian Federation. All attractive Arctic territories are washout ones, which means that people do not stay there forever. Migration trends in the Arctic are understudied, almost all demographic studies with a few exceptions have been carried out by regions of the Russian Federation. The analysis was based on the data from the Rosstat Database of indicators by municipal formations. We used indicators of population number, number of arrivals and departures by flows (migration in total, inter-regional, intra-regional, international) and by 69 municipalities that make up the Arctic zone of the Russian Federation. The purpose of the study is to show heterogeneity of the Arctic municipal formations and to develop a typology of the territories. The paper singles out the correlation between migration preferences of young people aged 15-19 years and the access to a university in the municipality. In general, the Arctic is unattractive for young people, and even the access to a university does not correlate with migration growth in all cities, except for Arkhangelsk. We have discovered which territories are the most attractive for different age groups of migrants. This information is important for territorial development strategies. Based on the research results, we can identify several important trends: concentration of population in big multi-profile cities, depopulation of inter-city territories, symmetry of economic and migration attractiveness of the region, relative stability of already developed territories with rather favorable natural and climatic conditions.

Multi-membrane search algorithm

This research proposes a new multi-membrane search algorithm (MSA) based on cell biological behavior. Cell secretion protein behavior and cell division and fusion strategy are the main inspirations for the algorithm. In order to verify the performance of the algorithm, we used 19 benchmark functions to compare the MSA test results with MVO, GWO, MFO and ALO. The number of iterations of each algorithm on each benchmark function is 100, the population number is 10, and the running is repeated 50 times, and the average and standard deviation of the results are recorded. Tests show that the MSA is competitive in unimodal benchmark functions and multi-modal benchmark functions, and the results in composite benchmark functions are all superior to MVO, MFO, ALO, and GWO algorithms. This paper also uses MSA to solve two classic engineering problems: welded beam design and pressure vessel design. The result of welded beam design is 1.7252, and the result of pressure vessel design is 5887.7052, which is better than other comparison algorithms. Statistical experiments show that MSA is a high-performance algorithm that is competitive in unimodal and multimodal functions, and its performance in compound functions is significantly better than MVO, MFO, ALO, and GWO algorithms.

Characteristics and Influencing Factors on the Hollowing of Traditional Villages—Taking 2645 Villages from the Chinese Traditional Village Catalogue (Batch 5) as an Example

With the rapid development of urbanization and modernization, the population of traditional villages migrates into surrounding areas, causing the hollowing of traditional villages. The disintegration of China’s traditional village means the loss of historical memory and cultural characteristics of ethnic regions, seriously endangering the country’s cultural heritage. To better understand the hollowing phenomenon, this study analyzed 2645 villages from the Chinese traditional village catalogue (Batch 5) and evaluated different village attributes, including location, household registration, permanent population, number of traditional buildings, cultural relics, historical buildings, and non-heritage representative projects. We constructed an evaluation index system and used the entropy weight method, comprehensive evaluation method, and correlation analysis method to quantitatively assess the characteristics and influencing factors of hollowing among traditional Chinese villages. The main results are as follows: ① The hollowing index was above 0.5; most traditional villages have entered the stage of high hollowing. ② The traditional villages with hollowing index above 0.9 comprised 92%, and those between 0.8 and 0.9 made up 6%. Those with hollowing index at intervals 0.7–0.8, 0.6–0.7, and 0.5–0.6 accounted for 0.98%, 0.30%, and 0.11%, respectively. ③ Population hollowing is the fundamental cause of traditional village hollowing. In more than 99% of traditional villages, the population hollowing index was greater than 0.7. ④ More than 99% of traditional villages have a building hollowing index greater than 0.4, and more than 92% of the villages had a per capita number below 0.1. ⑤ The cultural hollowing rate for most traditional villages was very high. The cultural hollowing index for more than 99% of traditional villages was greater than 0.7. This study provides references for government administrators and scholars in rural revitalization and traditional village hollowing governance.

Gajahwong River Continuous Flow Simulation by Using Soil Moisture Accounting (SMA) of HEC HMS

Gajahwong River is located in the southern part of Java Island, Indonesia, specifically on Daerah Istimewa Yogyakarta. Gajahwong River has an important role along the area where its discharge is used especially for irrigation water supply. Other factors stressing Gajahwong basin’s water supply purpose are population number rise and land cover change that influence river streamflow in the whole year. Hence, a continuous flow simulation was conducted to analyze Gajahwong River water availability to supply its requirement. The Soil Moisture Accounting (SMA) module of HEC-HMS was employed to simulate the continuous flow of Gajahwong River, particularly in Wonokromo Outlet. The continuous flow was simulated from the year 2012 until 2015 based on observed discharge data availability. Comparison between simulated and observed discharge was quantified by using R2, Nash-Sutcliffe efficiency and PBIAS statistic value. The statistic above parameter values yielded a value of 0.90, 0.58, and 2.02%, respectively for daily time series simulation.

Development of an Information System for Monitoring Attractiveness of Municipalities in the Republic of Bashkortostan

At present, most regions of the Russian Federation are experiencing an increase in migration flows, which has a significant impact on the overall decline in population. At the same time most of them have already developed regional migration policies containing basic guidelines for migration regulation. One of such regions is the Republic of Bashkortostan, where in the recent period the number of active population taking part in both intraregional and external migration has increased significantly. At the same time, the spatial mobility of the population has an impact on the social and economic development of territories. These circumstances lead to increased attention on the part of regional authorities in state regulation improvement. In this connection, the main goal of the paper is to develop an information system for monitoring the attractiveness of municipalities of the Republic of Bashkortostan using geoinformation technologies. The conceptual model “Informational system of attractiveness monitoring of municipalities of the Republic of Bashkortostan” is presented during the research, in which units of visualization, parametric analysis and spatial scaling are described. An algorithm information system was also developed which describes its functionality, such as: assessment of the level of migration attractiveness of the territory, zoning the territory according to the level of migration attractiveness; editing and search of data; scenario prediction of the level of migration activity of the population (number of departures, number of arrivals, migration growth); visual representation of the direction of migration flows; reporting. With the help of this tool, the forecast of the level of attractiveness of the municipalities of the Republic of Bashkortostan is made taking into account the realization of the regional program “Complex development of monocities”. The information system for monitoring the attractiveness of municipalities of the Republic of Bashkortostan can serve as a scientific and methodological basis for state migration policy improvement. The information system for attractiveness monitoring of municipalities of the Republic of Bashkortostan can serve as a scientific and methodological basis for the improvement of state migration policy.