Journal articles: 'Migration Patterns etc'

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Aswani, T. D., and Bhat Shivashankar. "Review of Literature Related to Labour Migration: Types, Causes, and Impacts." International Journal of Management, Technology, and Social Sciences (IJMTS) 7, no. 2 (2022): 191–224. https://doi.org/10.5281/zenodo.7003098.

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Purpose: Economies of migration have always been an important topic of research. Migration of labour has, undoubtedly, some impact on employment, labour market, rural development, social welfare, labour management, migrant networks etc. A good understanding of the labour force is imperative for framing appropriate labour market policies and inclusive economic growth policies. Analysing the extent, and trend of labour migration policies as they influence upon labour market and economic development of a country. Design/Methodology/Approach: Descriptive Research was used in this study, which is focused on secondary data sources. Secondary data is gathered through books, newspapers, journals, articles, and government websites. Findings: Migration has always been an important factor in population expansion and economic development, according to a thorough examination of the literature. People have moved across national and international borders in search of better lifestyles. Originality/Value: This paper considers the issues and impacts of labour migration on national development. It presents the trends, patterns and causes and impact of labour migration at the international, national and state levels of Kerala as discussed in the literature. Paper type: Review of Literature.

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Vermeulen, Willem R. J., Debraj Roy, and Rick Quax. "Modelling the Influence of Regional Identity on Human Migration." Urban Science 3, no. 3 (2019): 78. http://dx.doi.org/10.3390/urbansci3030078.

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Human migration involves the relocation of individuals, households or moving groups between geographical locations. Aggregate spatial patterns of movement reflect complex interactions among motivations (such as distance, identity, economic opportunities, etc.) that influence migration behaviour and determine destination choice. Gravity models and radiation models are often used to study different types of migration at various spatial scales. In this paper, we propose that human migration models can be improved by embedding regional identities into the model. We modify the existing human migration gravity model by adding an identity parameter based on three different sets of Dutch identity regions. Through analysis of the Dutch internal migration data between 1996 and 2016, we show that adding the identity parameter has a significant effect on the distance distribution. We find that individuals are more likely to move towards municipalities located within the same identity region. We test the impact of regional identity by comparing randomly spatially clustered and optimised identity regions to show that the effects we attribute to regional identity could not be attributed due to chance. Finally, our finding shows that cultural identity should be taken into account and has broad implications on the practice of modelling human migration patterns at large. We find that people living in Dutch municipalities are 3.89 times as likely to move to a municipality when it is located within the same historic identity region. Including these identity regions in the migration model decreases the deviation of the model by 10.7%.

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UTSU, Tokuji. "Seismicity Patterns and Long-Term Prediction of Large Earthquakes -Seismic Cycles, Gaps, Quiescence, Precursory Activities, Migration, Correlation, etc.-." Zisin (Journal of the Seismological Society of Japan. 2nd ser.) 50, appendix (1998): 73–82. http://dx.doi.org/10.4294/zisin1948.50.appendix_73.

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Askeyev, Oleg, Arthur Askeyev, Igor Askeyev, and Tim Sparks. "Significantly Earlier Spring Migration in Most Bird Species at the Eastern Limit of Europe." Animals 13, no. 19 (2023): 3031. http://dx.doi.org/10.3390/ani13193031.

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The first arrival dates of 31 species of migrant birds in the Tatarstan Republic of Russia were monitored for the 34-year period from 1989–2022. Trends in first arrival date were evaluated using regression against the year value. Patterns in arrival data with respect to species traits (habitat, migration distance, body weight, etc.) were evaluated using redundancy analysis. Relationships between first arrival dates and Tatarstan temperatures were also evaluated using regression methods of first-arrival date on monthly mean temperatures. Almost all (28 of 31) species revealed a significantly earlier migration arrival date; however, associations between arrival patterns and species traits were equivocal. Warmer temperatures were significantly associated with earlier arrival in 26 of the 31 species, but the relationship was insufficient to explain the average 11-day advance in species. For these species and in this location only the timing and location of arrival are well recorded; the exact wintering areas and migration routes, and the timing of these phases are less well understood. When these become better known, an investigation of the influence of environmental conditions (including temperature) on departure timing and passage timing and speed is recommended.

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Zambotti, G., W. Guan, and J. Gest. "VISUALIZING HUMAN MIGRATION TRHOUGH SPACE AND TIME." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 10, 2015): 155–61. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-155-2015.

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Human migration has been an important activity in human societies since antiquity. Since 1890, approximately three percent of the world’s population has lived outside of their country of origin. As globalization intensifies in the modern era, human migration persists even as governments seek to more stringently regulate flows. Understanding this phenomenon, its causes, processes and impacts often starts from measuring and visualizing its spatiotemporal patterns. This study builds a generic online platform for users to interactively visualize human migration through space and time. This entails quickly ingesting human migration data in plain text or tabular format; matching the records with pre-established geographic features such as administrative polygons; symbolizing the migration flow by circular arcs of varying color and weight based on the flow attributes; connecting the centroids of the origin and destination polygons; and allowing the user to select either an origin or a destination feature to display all flows in or out of that feature through time. The method was first developed using ArcGIS Server for world-wide cross-country migration, and later applied to visualizing domestic migration patterns within China between provinces, and between states in the United States, all through multiple years. The technical challenges of this study include simplifying the shapes of features to enhance user interaction, rendering performance and application scalability; enabling the temporal renderers to provide time-based rendering of features and the flow among them; and developing a responsive web design (RWD) application to provide an optimal viewing experience. The platform is available online for the public to use, and the methodology is easily adoptable to visualizing any flow, not only human migration but also the flow of goods, capital, disease, ideology, etc., between multiple origins and destinations across space and time.

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Chuvilin, Evgeny, Valentina Ekimova, Dinara Davletshina, Boris Bukhanov, Ekaterina Krivokhat, and Vladimir Shilenkov. "Migration of Salt Ions in Frozen Hydrate-Saturated Sediments: Temperature and Chemistry Constraints." Geosciences 12, no. 7 (2022): 276. http://dx.doi.org/10.3390/geosciences12070276.

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Migration of dissolved salts from natural (cryopeg brines, seawater, etc.), or artificial sources can destabilize intrapermafrost gas hydrates. Salt transport patterns vary as a function of gas pressure, temperature, salinity, etc. The sensitivity of the salt migration and hydrate dissociation processes to ambient temperature and to the concentration and chemistry of saline solutions is investigated experimentally on frozen sand samples at a constant negative temperature (−6 °C). The experiments show that the ambient temperature and the solution chemistry control the critical salt concentration required for complete gas hydrate dissociation. Salt ions migrate faster from more saline solutions at higher temperatures, and the pore moisture can reach the critical salinity in a shorter time. The flux density and contents of different salt ions transported to the samples increase in the series Na2SO4–KCl–CaCl2–NaCl–MgCl2. A model is suggested to account for phase transitions of pore moisture in frozen hydrate-saturated sediments exposed to contact with concentrated saline solutions at pressures above and below the thermodynamic equilibrium, in stable and metastable conditions of gas hydrates, respectively.

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Taisheva, Vasilya V. "Educational Migration in the Semantic Space of Political Science: a Review of Theoretical Approaches." RUDN Journal of Political Science 22, no. 3 (2020): 367–86. http://dx.doi.org/10.22363/2313-1438-2020-22-3-367-386.

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Among modern studies on the phenomenon of migration, of particular interest is the work studying and analyzing educational migration as one of the most popular and promising areas of migration. Despite numerous work devoted to the issue of educational migration, latter still remains the least studied migration category. In order to identify current trends and patterns of international educational migration and to trace development of theoretical constructions explaining migration process, author has conducted an analysis of more than 60 scientific publications (both theoretical and empirical studies) of foreign authors on the issues of consideration. Analysis of publications was carried out in context of a critical review of scientific theories and research concepts on educational migration. As the main theories, neoclassical theories of migration of macro (the concept of Push-Pull factors) and micro (the theory of human capital) level, transnational theory and theory of global knowledge were considered. As a result, author notes that educational migration studies are mostly aimed at studying economic aspects of migration, determinants and causes of migration, issue of highly qualified migration, processes of integration and adaptation of foreign students, new directions of student migration, transnational spaces and social migrant networks etc. Publications on the values and axiological aspects of educational migration are much less common. To sum up, based on results of the study, article reveals that vectors of educational migration studies are shaped by transformation occurring in the world and in the global educational environment that directly affects the nature of student migration flows.

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Bălan, Mariana, and Svitlana Bilan. "Recent Dimensions of Regional Migration." Journal of Intercultural Management 12, no. 4 (2020): 91–105. http://dx.doi.org/10.2478/joim-2020-0053.

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Abstract Objective: The purpose of this article is to make an analysis of the size and structure of migratory flows at regional and sub-regional level. Methodology: Descriptive statistical analysis was mainly used to visualize and synthesize information about the evolution of the structure and size of migratory flows in major regions of the world. Findings: The importance of contemporary migration is related not only to the number of migrants, but also to the fact that the migratory phenomenon has become global and takes on more and more diverse forms. People travel for various periods of time, but shorter. They adopt a pattern of circulatory migration, continue to maintain strong connections with where they left from or practice unregulated migration. Migration has become a defining feature of the modern global economy, and the main factors underlying its expansion are the processes of globalization, technical progress, the new economic order, etc. In 2019, the number of l migrants at world level reached 271.6 million, well above the values forecast by international bodies in recent years. In the last three decades, more developed regions have received 69 million international migrants, while less developed regions have received only 50 million. The highest migratory flows were recorded in high-income countries (98 million persons), and middle and low-income countries added only about 20 million persons to migrants’ stock (17 million and 3 million, respectively). Value Added: The paper presents an analysis of the size and structure of migratory flows at the regional level, providing a more detailed picture of migration, and presenting a different but complementary perspective of migrants and movements from different parts of the world. A comparative analysis of migrant flows at regional level and on large migration corridors is performed, but also of the structure by age groups and gender of regional migrants. Recommendations: The analysis of data on regional migration shows significant differences in migration patterns between regions. Greater recognition of regional migration patterns, variations and complexities can help shape strategic and sustainable responses of the migration policies. It is also necessary to pay attention to the regional dimensions and variations of international migration that may have critical implications for debates and regulations, especially (but not only) globally.

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Nikolić, Teodora. "Data sources on internal migration in Serbia from the aspect of spatial planning." Demografija, no. 21 (2024): 79–94. https://doi.org/10.5937/demografija2421079n.

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The spatial patterns of internal migration trace general socio-economic processes and thus represent one of the most important indicators of the diffusion of development within the territory. At the same time, internal migration flows represent a feedback loop for the increase of development disproportions. Considering that one of the main strategic objectives of spatial development in Serbia at all territorial levels (national, regional and local) is a more balanced distribution of the population, a broader and deeper insight into the extent and flows of internal migration can make an important contribution to spatial planning. Against this background, the study aims to identify various sources of statistical data and possible methodological solutions for conducting an analysis of internal migration in Serbia. The study utilises three different types of data provided by the Statistical Office of the Republic of Serbia, including: Population Census (migration characteristics of the population), Internal Migration statistics (immigration and emigration data based on changes of residence) and birth and death statistics (combined with population census data). The research results provide information on the advantages and disadvantages of using the above-mentioned data sources, e.g. data quality, availability, level of detail, etc. In addition, a comparative analysis carried out with all three data sources revealed on specific examples possible discrepancies in the results.

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NILUTPAL, DUTTA, BORDOLOI PRANTIK, KALITA NILAKSHI, and BORDOLOI AKANKHYA. "A STUDY ON POPULATION GROWTH OF ASSAM IN THE POST INDEPENDENCE PERIOD (1951-2011)." Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 42, no. 09 (2023): 78–85. https://doi.org/10.5281/zenodo.8337733.

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Abstract Assam, a state situated in the north eastern region of India is the gateway to the region of India having geographical area of about 78,438sq km. It shares about 2.4% of country’s landmass and providing shelter to 2.6% of India’s population as per census of 2011. Rapid growth of population is one of the biggest obstacle in the way of the economic development of the state. It influences various aspects of the development of the region like social development, health, education, national income etc. Rapidly changing pattern of the state’s population is a matter of concern in the present days. By realising the relevance of this matter. This paper highlights the trend of growth of state’s population during the post-independence period and how the population is spreading across different religions and the possible reasons behind such changing patterns. Tremendous inflow of migrants into the state has left it with the massive problem of population explosion and has contributed to the changing population pattern. This work also shows the relationship between total population and migration by estimating the marginal impact of intrastate and international migration on total population by using the multiple linear regression model.

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Sirkeci, İbrahim. "Migration From Turkey to Germany: An Ethnic Approach." New Perspectives on Turkey 29 (2003): 189–207. http://dx.doi.org/10.1017/s0896634600006166.

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Ülkemin ırmakları dışarı akarNeden bilmem can havliyle akar…(Cemal Süreya, 1988)(The rivers of my country are flowing outFrightened to death they flow, I know not why…)The growth in the numbers of asylum seekers to Western European countries over the past decade (Castles and Loughna, 2002) has underlined the significance of “political” and other non-economic factors in shaping migration flows, drawing attention to the inadequacy of theoretical explanations based on socio-economic differentials. The need to reassess earlier research on labor flows to take into account the existence of migrants obliged to flee from situations involving political persecution has become apparent, whether the migrants be directly or personally a target of persecution or whether they feel threatened by association for reasons of ethnicity, geography, etc. My main aim in this article is to raise the issue of the role of “Kurdish ethnicity” as one instance of such political forces in shaping migration flows from Turkey to Germany. During the 1970s and 1980s, research on patterns of migration between the two countries was almost exclusively concerned with the “incorporation of guest workers” into German labor markets and the contribution of their remittances to the Turkish economy.

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Korotayev, Andrey, and Julia Zinkina. "What does global migration network say about recent changes in the world system structure?" Journal for Multicultural Education 8, no. 3 (2014): 146–61. http://dx.doi.org/10.1108/jme-05-2014-0020.

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Purpose – The aim of this paper is to investigate whether the structure of the international migration system has remained stable through the recent turbulent changes in the world system. Design/methodology/approach – The methodology draws on the social network analysis framework – but with some noteworthy limitations stipulated by the specifics of data. Findings – The list of the most central nodes demonstrates remarkable stability over time, with the USA consistently occupying the first place and Russia and Germany stably entering the top-five (or even top-three ever since 1990). Centrality analysis also clearly demonstrates the emergence (in the 1970s) and development of the Gulf countries (particularly Saudi Arabia and UAE) as major migration destinations. Research limitations/implications – The results of the analysis present a mixture of evidence to support both the principles of the neoclassical migration theory, and some of its critiques, as the migration patterns are strongly influenced by historical links (such as colonial ties), geographical distance, cultural distance, etc. Defining the scope of influence of each of these factors lies beyond the scale of this paper. However, further application of social network analysis to studying the global migration network, in the authors ' opinion, has quite remarkable potential for contributing to this line of research. Originality/value – The paper views the specific features in the structure of the global migration network and their implications for world system studies.

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Gao, Jie, Chenlei Han, Tingyu Gao, Wenzhi Chang, Meng Huang, and Bo Qi. "Study on the diffusion characteristics of fault gases in oil-immersed transformers based on molecular dynamics." Journal of Physics: Conference Series 3043, no. 1 (2025): 012110. https://doi.org/10.1088/1742-6596/3043/1/012110.

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Abstract Under abnormal operating conditions, oil-immersed electrical equipment releases multiple characteristic gases whose dissolution-state migration characteristics critically influence gas distribution patterns within insulating oil, providing essential references for equipment condition monitoring. Contemporary research predominantly focuses on integrated approaches combining experimental testing and computational modelling, yet conventional experimental protocols remain constrained by high costs and operational complexity, particularly encountering technical limitations in molecular-level dynamic resolution. This study innovatively integrates molecular dynamics simulations with phase-field theory, systematically investigating migration patterns of seven typical fault gases (H2, CO, CO2, etc.) in liquid media through the construction of a multicomponent oil-gas system under the PCFF force field. Utilizing the mean square displacement method derived from Einstein’s diffusion theory, calculations reveal a significant positive correlation between gas diffusion coefficients and system-free volume. The diffusion rate hierarchy follows: H2 > CH4 > CO > C2H2 > C2H4 > C2H6 > CO2. Quantitative analysis demonstrates a negative correlation between molecular dynamics magnitude and free volume fraction, offering molecular-scale mechanistic interpretations for dissolved gas analysis (DGA) technology while establishing computational foundations for enhancing the predictive accuracy of DGA-based fault diagnosis models.

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Sotek, Zofia. "Distribution patterns, history, and dynamics of peatland vascular plants in Pomerania (NW Poland)." Biodiversity: Research and Conservation 18, no. 1 (2010): 1–82. http://dx.doi.org/10.2478/v10119-010-0020-4.

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Distribution patterns, history, and dynamics of peatland vascular plants in Pomerania (NW Poland)Pomerania is rich in various peatlands (fens, transitional bogs, raised bogs, spring-water mires, etc.), which support many rare and threatened plant species. This study was aimed: (1) to determine the phytogeographic diversity of Pomeranian peatland vascular plants associated with the classesOxycocco-SphagneteaandScheuchzerio-Caricetea nigrae; (2) to attempt a reconstruction of the history of their postglacial migrations; and (3) to assess the dynamic trends of selected species. A database of records of 83 Pomeranian peatland plants was created, and cartograms of their distribution in Pomerania were made. Each taxon was briefly described, considering its distribution, phytocoenotic spectrum, and biological properties (e.g. pollination mode, diaspores dispersal). The phytogeographic analysis took into account geographic and directional elements, as well as mountain species found in Pomeranian peatlands. The plants' potential for colonization of new sites was assessed on the basis of Raunkiaer's life forms, modes of pollination and seed dispersal, and types of life strategies. As a result of numerical analysis and visual comparison of cartograms, 5 regional distributional types were distinguished: western, northern, eastern, all-Pomeranian, and disjunct. Within the eastern and all-Pomeranian types, which showed internal variation, several subtypes were distinguished. Most of the considered climatic variables (growing season length, temperature, and precipitation variables) were found to affect significantly the floristic variation of Pomeranian peatlands. The available palaeobotanical, palaeoclimatic, palaeoecological, and phytogeographic data, as well as original field research on the distribution of the taxa, allowed the formulation of hypotheses on the time and directions of their migration into Pomerania. Moreover, dynamic trends of selected species are analysed, and the decline of many peatland plant species in Pomerania is discussed.

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Emirhafizović, Mirza. "Ljudski kapital-obrazovanje-socijalna mobilnost izvan domovine na primjeru bosanskohercegovačkih migranata i njihovih potomaka u Austriji." Obrazovanje odraslih/Adult Education 14, no. 2 2014 (2014): 79–90. http://dx.doi.org/10.53617/issn2744-2047.2014.14.2.79.

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This paper discusses the general context of education for children from migrant families in a different school system and social environment in relation to the country of origin of their parents, and then analyzes the educational structure of migrants from Bosnia and Herzegovina (BiH) in Austria. Due to the existence of the immigration flow with a long tradition between BiH and Austria, the country of destination has a special place on the map of BiH diaspora. Taking into account the result of external migration, and this is a direct loss of (pro)creative potential, the migration of the working age population is also an outflow of human capital (acquired knowledge, skills and abilities). The analysis shows that the educational structure of migrants from Bosnia and Herzegovina largely reflects the patterns and motives of immigration to Austria (labour migration, exile, studying, family reunification, etc.), as well as their social background. Family characteristics and the age structure of migrants in BiH require consideration to be given to the current distribution of their offspring by types of schools. It is an issue of particular interest because the education is, in addition to labour market, the main area of structural integration into a host society, such as Austria.

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Makarov, Valery. "Agent-based modeling of social and economic impacts of migration under the government regulated employment." Economics and the Mathematical Methods 58, no. 1 (2022): 113. http://dx.doi.org/10.31857/s042473880018960-5.

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This article presents an approach to modelling the socio-economic impacts of migration using an agent-based model (ABM) of interactions between migrants and natives. The model also accounts for a regulatory function of government which is the centralized creation of new workplaces that differ in the level of ‘technological return’ (i.e. the labour productivity that depends on the sectoral belonging of the formed workplaces). The proposed approach is based on the previously developed model of interactions between migrants and native individuals. It is focused on studying the socio-economic impacts of migration in the system with a more complex regulatory function of the government, which creates low-technological and high-technological workplaces that are attractive for migrants and natives, respectively. The agent-government has two possible strategies of workplace creation: cluster-based workplace creation in areas with high concentration of migrants and natives and creation of uniform workplaces aimed at increasing multi-particle interactions between agents of different types, and reducing the level of population segregation. This study also investigates the processes of assimilation, which are subject to the level of segregation of the studied communities, public investment in education and integration, etc. The proposed model also considers the influence of various control parameters, in particular, the influence of the agents’ tolerance level on their location choice in a boundary neighbourhood, the influence of the agents’ education level on the job search area dimension, and other important characteristics reflecting the behavioural features of members of the studied communities. Socio-economic impacts of migration are studied under various scenario conditions, which include different patterns of agents’ behaviour belonging to the considered communities, the rate of new migrants’ inflow, the amount of government education expenditures, etc.

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Feng, Xiao, Lingbin Qi, Xiaoyu Xu, et al. "Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis." PeerJ 9 (April 7, 2021): e11045. http://dx.doi.org/10.7717/peerj.11045.

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Background Endometriosis is a common gynecological disease among women in their reproductive years. Although much effort has been made, the pathogenesis of this disease and the detailed differences between eutopic endometrial cells and ectopic endometrial cells are still unclear. Methods In this study, eutopic and ectopic endometrial cells were collected from patients with and without endometriosis and RNA sequencing was performed. The gene expression patterns and differentially expressed genes (DEGs) in eutopic and ectopic endometrial cells, as well as control endometrial cells, were analyzed using a weighted gene co-expression network analysis (WGCNA) and the DESeq2 package. The functions of significant genes were detected using Gene ontology (GO) enrichment analysis, and qRT-PCR validation was performed. Results The results indicated that eight gene modules were found among these three groups. They also indicated that the gene module, which is highly related to eutopic endometrial cells, was mainly enriched in cell adhesion, embryo implantation, etc., while the gene module related to ectopic endometrial cells was mainly enriched in cell migration, etc. The results of differential expression analysis were generally consistent with the WGCNA results through identified significant DEGs between different groups. These DEGs may play an important role in the occurrence of endometriosis, including the infertility associated gene ARNTL and PIWIL2, tissue remodeling gene MMP11, cell survival and migration gene FLT1, inflammatory response gene GNLY, the tumor suppressor genes PLCD1, etc. Further analysis suggested the function of adhesion is stronger in ectopic endometrial cells than in eutopic endometrial cells, while the ectopic endometrium may have a higher potential risk of malignant transformation than eutopic endometrium. Conclusions Overall, these data provide a reference for understanding the pathogenesis of endometriosis and its relationship with malignant transformation.

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Dennis, Benjamin, Gurubala Kotta, and Caroline Conley Norris. "Spatially Mapping Banks' Commercial & Industrial Loan Exposures: Including an Application to Climate-Related Risks." Finance and Economics Discussion Series, no. 2025-006 (January 2025): 1. https://doi.org/10.17016/feds.2025.006.

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The correlation of the spatial distribution of banking exposures with changes in spatial patterns of economic activity (e.g., internal migration, changes in agglomeration patterns, climate change, etc.) may have financial stability implications. We therefore study the spatial distribution of large U.S. banks' commercial and industrial (C&I) lending portfolios. We construct a novel dataset that augments FR Y-14Q regulatory data with borrower microdata for a more granular understanding of where banks' exposures are located by looking beyond headquarters to the location of facilities. We find that banks are exposed to almost all U.S. counties, with clustered exposure in certain geographies. We then use our dataset for a climate-related application by analyzing what fraction of C&I loans have been extended to firms that operate in areas vulnerable to physical risks, identifying, for example, counties where both (i) banks are highly exposed via their lending portfolios, and (ii) physical risks have historically resulted in large losses. Results of this kind can help inform risk management and be used to improve resilience to future stresses.

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Liu, Shu Liang, Guang Hui Sun, Yuan Yuan Huang, Bin Sun, Hong Di Zhang, and Yun Ze Long. "Fabrication and Formation Mechanism of Electrospun Spatially Defined Fibrous Patterning Structures on Conductive and Insulating Substrates." Key Engineering Materials 609-610 (April 2014): 842–48. http://dx.doi.org/10.4028/www.scientific.net/kem.609-610.842.

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Besides the conductive patterning substrate, spatially well-defined microfibrous architectures can also be electrospun by using an insulating topographically structured collector (e.g.a nylon fabric). In both cases, it is proposed that the formation of the electrospun microfibrous patterns can be ascribed to the re-distribution of static electric field whenever collectors with different topography are introduced. Moreover, a series of simulation of the static electric field for various collectors (e.g.flat Al foil, conductive and insulating patterned substrates) have been systematically made to illustrate the formation mechanism, respectively. Our results are considered to warrant further scientific understanding on the formation of electrospun microfibrous patterning constructs, and helpful for easy generation of spatially defined architectures which have applications in a variety of areas such as tissue engineering, cell adhesion, proliferation and migration,etc.

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Prodhan, Shamima, Bivuti Bhushan Sikder, and Mahbuba Nasreen. "Impacts and Challenges Associated With Shrimp Cultivation in Parulia Union, Satkhira, Bangladesh: an Empirical Study." Journal of the Asiatic Society of Bangladesh, Science 45, no. 1 (2019): 55–69. http://dx.doi.org/10.3329/jasbs.v45i1.46570.

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This paper offers an overview of an empirical study conducted at Parulia union in Satkhira district, Bangladesh on unplanned shrimp culture, practiced by masses that ultimately led to serious environmental degradation and socioeconomic consequences such as salinity intrusion, decline in water and soil qualities, reduction in agricultural productions, decrease in cattle production, migration, and human health hazards. The real scenarios give evidences of the impacts of imposed shrimp cultivation and the associated challenges faced by the communities including reduction in cultivable land area (59.8%), increase of Gher area (48.0%), increase of soil salinity (74.5%), reduction in vegetable production (67.6%), reduction in agriculture farming (67.6%), reduction in freshwater fish culture (63.7%), impacts on livelihood patterns and reduction in local varieties of crops, fruit trees, and plants. Major challenges identified by the respondents are: reduction in soil quality (41.2%), reduction in water quality (38.2%), social problems (20.6%), problems in getting safe drinking water (19.6%), landlessness (35.3%), migration (34.4%), outbreak of common diseases (19.6%) etc. Urgency of a national policy framework addressing the issue holistically is of grave importance to solve the problem. Asiat. Soc. Bangladesh, Sci. 45(1): 55-69, June 2019

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Wilkosz, Anna. "Refugees or illegal migrants? A comparative study of Polish media discourse on Ukrainian war refugees and the Polish-Belarussian border crisis." Studia Linguistica Universitatis Iagellonicae Cracoviensis 142, no. 1 (2025): 29–55. https://doi.org/10.4467/20834624sl.25.004.21087.

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This paper aims to compare and contrast the discursive representations of migrants in the context of the ongoing migration crisis on the Polish-Belarusian border and the surge of Ukrainian refugees into Poland post-February 2022. The author chose 60 articles from the official TVP Info website using the keywords refugee, migrate, immigrants, etc. Informed by Critical Discourse Analysis, the research drew on social actor theory (van Leeuwen 2009), as well as Systemic Functional Analysis (Halliday and Matthiessen 2014). The results reveal that there are significant differences in the depiction of Ukrainian refugees versus migrants encamped on the Polish-Belarusian border. The Ukrainians were portrayed as individuals with distinct and poignant narratives, whereas for the description of migrants from the border, abstract nouns were used, presenting them as a homogeneous and threatening collective. Agentivity patterns also proved to vary depending both on the context and the time of publication of the article. The earlier articles presented the migrant as a passive patient of other agent’s actions, while the more recent ones displayed some instances of their agency. The paper may serve as a springboard for further studies on the issue of migration in Polish media discourse.

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Wang, Zihan, and Yanguang Chen. "Exploring Spatial Patterns of Interurban Passenger Flows Using Dual Gravity Models." Entropy 24, no. 12 (2022): 1792. http://dx.doi.org/10.3390/e24121792.

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Geographical gravity models can be employed to quantitatively describe and predict spatial flows, including migration flows, passenger flows, daily commuting flows, etc. However, how to model spatial flows and reveal the structure of urban traffic networks in the case of missing partial data is still a problem to be solved. This paper is devoted to characterizing the interurban passenger flows in the Beijing–Tianjin–Hebei region of China using dual gravity models and Tencent location big data. The method of parameter estimation is the least squares regression. The main results are as follows. First, both the railway and highway passenger flows can be effectively described by dual gravity models. A small part of missing spatial data can be compensated for by predicted values. Second, the fractal properties of traffic flows can be revealed. The railway passenger flows follow the gravity scaling law better than the highway passenger flows. Third, the prediction residuals indicate the changing trend of interurban connections in the study area in recent years. The center of gravity of the spatial dynamics has shifted from the Beijing–Tianjin–Tangshan triangle to the Beijing–Baoding–Shijiazhuang axis. A conclusion can be reached that the dual gravity model is an effective tool for analyzing spatial structures and dynamics of traffic networks and flows. Moreover, the model provides a new approach to estimating the fractal dimensions of traffic networks and spatial flow patterns.

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Abramov, Vladimir I., and Dmitry S. Evdokimov. "Application of agent-based approach to analyze migration flows taking into account epidemiological situation caused by the COVID-19." Market economy problems, no. 3 (2020): 49–58. http://dx.doi.org/10.33051/2500-2325-2020-3-49-58.

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Subject/topic. The paper is devoted to the analysis of trends related to migration rates in Russia during the spread of the new COVID-19 infection. Objectives. The purpose of this work is to study the experience of using the agent-based approach in modeling migration processes taking into account the epidemiological situation. Methodology. The research uses general scientific methods: economic analysis, ex-pert assessments, synthesis, deduction, induction, analogy, modeling, classification, historical and logical analysis. Results. Migration component is one of the main aspects in the demographic processes for each state. Various factors influence its estimated indicators but there are certain patterns and trends, such as seasonality, political situation in the world, living conditions in a particular country. The importance of this socio-demographic process remains unchanged. In Russia a new concept of state migration policy has been created for a period up to 2025. However, its implementation is complicated by the current epidemiological situation in the world. The spread of COVID-19 forced the country's borders to close which had a serious impact on migration flows. Due to the epidemiological situation migrants are forced to look for new jobs and change the usual routes that they used to move to other countries in order to earn money. In the Russian Federation the number of unemployed has increased and the process of ousting migrants from the labor market has intensified. The spread of the virus around the world has facilitated political decisions related to the return of Russians to their homeland. Thus, the social and political aspects of the consequences of the pandemic have seriously influenced the socio-demographic processes in the world. Conclusions. The specifics of assessing migration flows implies the use of software and analytical systems to study the general trend of migration including during special periods (economic crises, large-scale outbreaks of epidemics, etc.). The active use of agent-based models which recreates the system under study, as close to reality as possible, can help in solving problems related to the search, analysis, and forecasting of ways to solve acute problems as-sociated with changes in internal and external migration flows. Scope of the results. The results of the study can be applied for further research in the field of migration processes using agent-based modeling as well as in the process of improving migration policy in Russia with the development of global threats caused by the epidemiological situation in the world.

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Mondal, Bhaswati. "Commuting patterns of workers in a village of Barddhaman district, West Bengal." Space and Culture, India 3, no. 1 (2015): 48. http://dx.doi.org/10.20896/saci.v3i1.140.

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Commuting helps to keep balance between residence and workplace of workers. With growing accessibility and connectivity, the importance of commuting is increasing all over the world. It is becoming a major substitute to migration. In commute-studies, commute-pattern is an important chapter. It highlights commuters’ directions of movement, distance they cover, modes of transport they use, the time they take to commute, etc. Unlike the urban-based commute pattern, commute pattern in rural areas are relatively an under-researched issue. In fact, traditionally rural people are thought to carry a sedentary lifestyle. Using primary data, this study aims to explore the commute patterns of rural workers located in the village of Gandharbapur of Barddhaman district of West Bengal, India. All the commuters were found to be engaged in non-farm work. Commuters stem from two major groups. One group of commuters is accumulated farm-income induced. They possess sufficient agricultural land. Investing their surplus farm-income, they have established non-farm works. The second group of commuters is poverty-driven. They are landless poor or are marginal farmers and to escape poverty, they have slipped into these works. Located beyond the suburban area (Memari being the nearest town), most commuters commute to nearby rural areas. Due to non-availability of public transport, women commute less than men do. Regular-paid government employees commute longer than other workers commute. The article concludes with a summary of findings and recommendations for further research.

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Partigöç, N. S., and Ç. Tarhan. "SPATIAL CHANGES OF LAND USE PATTERN IN GUZELBAHCE DISTRICT (IZMIR)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 405–11. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-405-2018.

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Abstract. The primary issues related the spatial organization of urban settlements are based on the development of density and land use decisions leading due to the market mechanisms. The current spatial land use pattern of cities have emerged depending various factors such as the migration movements increased rapidly from the 1950s, the rapid and uncontrolled urbanization, the pressures of rent directing the market mechanisms, etc. This urbanization process also has accompanied many problems as the insecure construction for disasters, dense and solid urban texture, various weaknesses or deficiencies of urban infrastructure. As a consequence of the evaluation for social facility areas (gaps in urban area, open and green areas, etc.) as “potential investment areas”, the loss of solid &amp;ndash; void ratio and dense built-environment have been experienced in urban centres and also urban development directions. The main aim of this study is to examine the spatial effects of land use decisions between the years of 2002 &amp;ndash; 2017 under the influence of the Law 6360 in terms of urban planning discipline. These spatial variations related land use pattern are determined using Google Earth and Geographical Information Systems (GIS). According to the results, it is clearly understood that current land use patterns in Guzelbahce district have changed significantly in 15-years period. The results of analyses related the case area which the urban sprawl has seen are discussed and a variety of policies have been developed.

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Ter Borg, Meerten B. "Vrijzinnigen hebben de toekomst." Religie & Samenleving 5, no. 3 (2010): 197–208. http://dx.doi.org/10.54195/rs.13060.

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The Future is for the liberals. In this essay the author tries to demonstrate that a liberal attitude is adequate to tackle the problems of the 21st century. The future is characterized by means of a number of trends that already exist, for instance: environmental problems, the shortage of basic materials, the shifts in the power structure, the ongoing globalization, the patterns of migration, etc. The way in which people choose to cope with these trends is, in all cases, dependent on their worldview. Here, the concept of liberalism is introduced. It is defined as an attitude that is, on the one hand, strictly focused on firm values and norms, but is, on the other hand, open towards alternatives. The first characteristic protects the worldview against relativism and anomy and the like; the second makes sure that it is flexible enough to adapt to the changing world.

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Sonaji, Devkar Bhausaheb. "The Changing Demographics of Jalna: Implications for Urban Planning." International Journal of world Geology, Geography, Agriculture, forestry and Environment Sciences 1, no. 2 (2024): 13–16. https://doi.org/10.5281/zenodo.15017675.

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Abstract This research paper investigates the evolving demographic profile of Jalna and its implications for urban planning in the region. Over the past few decades, Jalna has experienced significant demographic shifts characterized by population growth, changes in age distribution, and migration patterns. These changes have been influenced by factors such as urbanization, economic development, and social dynamics. The paper analyzes the impact of these demographic trends on urban infrastructure, housing needs, transportation systems, and social services. It also explores the challenges and opportunities presented by the changing demographics and provides recommendations for integrating demographic considerations into future urban planning initiatives in Jalna. Chhatrapati Shivaji Maharaj Trade Complex and Bazaar Samiti located on the north side of Jalna town has a large number of traders from Vidarbha and Jalna town as well as Jalna surrounding area and the number of houses is also increasing due to the increase in population in this area. The total population constitute, 147,029 males and 138,485 females —a sex ratio of 942 females per 1000 males. 38,834 children are in the age group of 0–6 years, of which 20,338 are boys and 18,496 are girls. The average literacy rate stands at 81.80% with 201,829 literates. Maharashtra’s Jalna is one of the biggest hubs of steel industry in Central India. However, the town in Marathwada has been hit by the economic slowdown in a multitude of ways. Clouds of stress are over the sky of opportunity in Jalna. The history of the city’s steel industry can provide a better perspective to the current situation. The steel business started with one set up in 1964. The then pioneer in the steel industry had direct business. But the steel industry has not been witnessing a steep downfall in growth like other industries. Recently released data about eight core sectors shows that the steel industry is down from 8.9% in July 2018 to 5% in July 2019. However, it being a mega industry, its slowdown comes at a huge price for the economy.

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Duffau, Hugues. "A Personalized Longitudinal Strategy in Low-Grade Glioma Patients: Predicting Oncological and Neural Interindividual Variability and Its Changes over Years to Think One Step Ahead." Journal of Personalized Medicine 12, no. 10 (2022): 1621. http://dx.doi.org/10.3390/jpm12101621.

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Diffuse low-grade glioma (LGG) is a rare cerebral cancer, mostly involving young adults with an active life at diagnosis. If left untreated, LGG widely invades the brain and becomes malignant, generating neurological worsening and ultimately death. Early and repeat treatments for this incurable tumor, including maximal connectome-based surgical resection(s) in awake patients, enable postponement of malignant transformation while preserving quality of life owing to constant neural network reconfiguration. Due to considerable interindividual variability in terms of LGG course and consecutive cerebral reorganization, a multistage longitudinal strategy should be tailored accordingly in each patient. It is crucial to predict how the glioma will progress (changes in growth rate and pattern of migration, genetic mutation, etc.) and how the brain will adapt (changes in patterns of spatiotemporal redistribution, possible functional consequences such as epilepsy or cognitive decline, etc.). The goal is to anticipate therapeutic management, remaining one step ahead in order to select the optimal (re-)treatment(s) (some of them possibly kept in reserve), at the appropriate time(s) in the evolution of this chronic disease, before malignization and clinical worsening. Here, predictive tumoral and non-tumoral factors, and their ever-changing interactions, are reviewed to guide individual decisions in advance based on patient-specific markers, for the treatment of LGG.

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Tancher, Victor, and Valentyna Pliushch. "Transfiguration of Moral Values Foundations in Contemporary Societies." International Relations: Theory and Practical Aspects, no. 5 (May 22, 2020): 266–75. https://doi.org/10.31866/2616-745x.5.2020.203720.

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The  article  deals  with  changing  processes  in  moral  values  foundations and trends in  contemporary societies, focusing on their current  state and  specific features often referred to as postmodern. These processes include such phenomenon as divergence between morality and ethics, where the latter comes into conflict with traditional moral standards in professional communities. New behavioural patterns and goals overpass the boundaries of the earlier established norms and customs. Normative morality is replaced by ethos of certain communities, “tribes” and gender groups. Prominent proponents of the postmodern sociological theory (J. Baudrillard, Z. Bauman, S. Lash, M. Maffesoli) emphasize on the factor of relativity in ideological orientations,  which  can  lead  to  “values  chaos”,  where  rationalization  of  social relations, sociality, and progress are substituted by sensual irrationality, individualization, ingress, etc. New research is required to define new human values hierarchy (or transfiguration) of contemporary societies. These tendencies are relevant to present-day Ukrainian society in terms of its processes and specific features   such   as   “hybrid”   morality,   migration,   domestic   culture,   and   youth subcultures, etc.

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Bartonička, Tomáš, Nikola Miketová, and Pavel Hulva. "High Throughput Bioacoustic Monitoring and Phenology of the Greater Noctule Bat (Nyctalus lasiopterus) Compared to Other Migratory Species." Acta Chiropterologica 21, no. 1 (2019): 75. https://doi.org/10.5281/zenodo.13458315.

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(Uploaded by Plazi for the Bat Literature Project) Conventional monitoring tools are seldom effective for studying the ecology of rare and elusive mammals. In the present study, we use automated ultrasound detectors to provide information about seasonal activity of the greater noctule bat (Nyctalus lasiopterus), the largest and one of least known European bats. We selected localities within Central Europe with diverse geomorphological contexts, including rivers of different sizes and mountain passes. The study demonstrates the capability of the automatic recording approach to achieve bioacoustic discrimination of this species, but also pointed to the persistent need of integrating results from automatic classification software applications with the feedback from manual approaches. The high throughput capacity of the assay proved to be efficient, and the regular occurrence of the species was identified at two localities. These locations are associated with two known and intensely used migratory corridors of winged animals going through Vltava River valley and Červenohorské Saddle in Jeseníky mountains, as illustrated also by the activity patterns of other migratory species. Together with the occurrence of spring and autumn peaks in activity, these findings are in concordance with the plesiomorphic condition in pipistrelloid bats, showing also migratory behavior, and represent further indirect evidence of migration of the greater noctule. This pattern could be facilitated by the trophic niche of the species, involving predation of migrating songbirds. Differences in phenology of migratory species observed at particular sites likely mirror position of the locality in relation to migration flyways, seasonal and geographic variation in prey availability and energy demands etc. Further application of bioacoustic monitoring and other tools is necessary to obtain detailed information about the range and movement ecology of the species in higher latitudes.

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Bartonička, Tomáš, Nikola Miketová, and Pavel Hulva. "High Throughput Bioacoustic Monitoring and Phenology of the Greater Noctule Bat (Nyctalus lasiopterus) Compared to Other Migratory Species." Acta Chiropterologica 21, no. 1 (2019): 75. https://doi.org/10.5281/zenodo.13458315.

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(Uploaded by Plazi for the Bat Literature Project) Conventional monitoring tools are seldom effective for studying the ecology of rare and elusive mammals. In the present study, we use automated ultrasound detectors to provide information about seasonal activity of the greater noctule bat (Nyctalus lasiopterus), the largest and one of least known European bats. We selected localities within Central Europe with diverse geomorphological contexts, including rivers of different sizes and mountain passes. The study demonstrates the capability of the automatic recording approach to achieve bioacoustic discrimination of this species, but also pointed to the persistent need of integrating results from automatic classification software applications with the feedback from manual approaches. The high throughput capacity of the assay proved to be efficient, and the regular occurrence of the species was identified at two localities. These locations are associated with two known and intensely used migratory corridors of winged animals going through Vltava River valley and Červenohorské Saddle in Jeseníky mountains, as illustrated also by the activity patterns of other migratory species. Together with the occurrence of spring and autumn peaks in activity, these findings are in concordance with the plesiomorphic condition in pipistrelloid bats, showing also migratory behavior, and represent further indirect evidence of migration of the greater noctule. This pattern could be facilitated by the trophic niche of the species, involving predation of migrating songbirds. Differences in phenology of migratory species observed at particular sites likely mirror position of the locality in relation to migration flyways, seasonal and geographic variation in prey availability and energy demands etc. Further application of bioacoustic monitoring and other tools is necessary to obtain detailed information about the range and movement ecology of the species in higher latitudes.

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Bartonička, Tomáš, Nikola Miketová, and Pavel Hulva. "High Throughput Bioacoustic Monitoring and Phenology of the Greater Noctule Bat (Nyctalus lasiopterus) Compared to Other Migratory Species." Acta Chiropterologica 21, no. 1 (2019): 75. https://doi.org/10.5281/zenodo.13458315.

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(Uploaded by Plazi for the Bat Literature Project) Conventional monitoring tools are seldom effective for studying the ecology of rare and elusive mammals. In the present study, we use automated ultrasound detectors to provide information about seasonal activity of the greater noctule bat (Nyctalus lasiopterus), the largest and one of least known European bats. We selected localities within Central Europe with diverse geomorphological contexts, including rivers of different sizes and mountain passes. The study demonstrates the capability of the automatic recording approach to achieve bioacoustic discrimination of this species, but also pointed to the persistent need of integrating results from automatic classification software applications with the feedback from manual approaches. The high throughput capacity of the assay proved to be efficient, and the regular occurrence of the species was identified at two localities. These locations are associated with two known and intensely used migratory corridors of winged animals going through Vltava River valley and Červenohorské Saddle in Jeseníky mountains, as illustrated also by the activity patterns of other migratory species. Together with the occurrence of spring and autumn peaks in activity, these findings are in concordance with the plesiomorphic condition in pipistrelloid bats, showing also migratory behavior, and represent further indirect evidence of migration of the greater noctule. This pattern could be facilitated by the trophic niche of the species, involving predation of migrating songbirds. Differences in phenology of migratory species observed at particular sites likely mirror position of the locality in relation to migration flyways, seasonal and geographic variation in prey availability and energy demands etc. Further application of bioacoustic monitoring and other tools is necessary to obtain detailed information about the range and movement ecology of the species in higher latitudes.

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39

Bartonička, Tomáš, Nikola Miketová, and Pavel Hulva. "High Throughput Bioacoustic Monitoring and Phenology of the Greater Noctule Bat (Nyctalus lasiopterus) Compared to Other Migratory Species." Acta Chiropterologica 21, no. 1 (2019): 75. https://doi.org/10.5281/zenodo.13458315.

Full text

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(Uploaded by Plazi for the Bat Literature Project) Conventional monitoring tools are seldom effective for studying the ecology of rare and elusive mammals. In the present study, we use automated ultrasound detectors to provide information about seasonal activity of the greater noctule bat (Nyctalus lasiopterus), the largest and one of least known European bats. We selected localities within Central Europe with diverse geomorphological contexts, including rivers of different sizes and mountain passes. The study demonstrates the capability of the automatic recording approach to achieve bioacoustic discrimination of this species, but also pointed to the persistent need of integrating results from automatic classification software applications with the feedback from manual approaches. The high throughput capacity of the assay proved to be efficient, and the regular occurrence of the species was identified at two localities. These locations are associated with two known and intensely used migratory corridors of winged animals going through Vltava River valley and Červenohorské Saddle in Jeseníky mountains, as illustrated also by the activity patterns of other migratory species. Together with the occurrence of spring and autumn peaks in activity, these findings are in concordance with the plesiomorphic condition in pipistrelloid bats, showing also migratory behavior, and represent further indirect evidence of migration of the greater noctule. This pattern could be facilitated by the trophic niche of the species, involving predation of migrating songbirds. Differences in phenology of migratory species observed at particular sites likely mirror position of the locality in relation to migration flyways, seasonal and geographic variation in prey availability and energy demands etc. Further application of bioacoustic monitoring and other tools is necessary to obtain detailed information about the range and movement ecology of the species in higher latitudes.

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Hu, Wentao, Weiwei Pei, Lin Zhu та ін. "Microarray Profiling of TGF-β1-Induced Long Non-Coding RNA Expression Patterns in Human Lung Bronchial Epithelial BEAS-2B Cells". Cellular Physiology and Biochemistry 50, № 6 (2018): 2071–85. http://dx.doi.org/10.1159/000495052.

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Background/Aims: TGF-β1 mediated radiation-induced bystander effects (RIBE) have been linked with malignant transformation and tumorigenesis. However, the underlying mechanisms are not fully understood. Methods: To reveal new molecules of regulatory functions in this process, lncRNA microarray was performed to profile both lncRNA and mRNA expression patterns in human lung bronchial epithelial BEAS-2B cells treated with TGF-β1 at a concentration measured in the medium conditioned by directly irradiated BEAS-2B cells. The potential functions of the differentially expressed lncRNAs were predicted by GO and KEGG pathway analyses of their co-expressed mRNAs. Cis- and trans-regulation of the lncRNAs were analyzed and the interaction networks were constructed using Cytoscape. qRT-PCR was conducted to validate the results of microarray profiling. CCK-8 assay was employed for functional validation of 3 identified lncRNAs. Results: 224 lncRNAs were found to be dysregulated, among which 6 lncRNAs were chosen for expression validation by qRT-PCR assay. Pathway analyses showed that differentially expressed lncRNAs are highly correlated with cell proliferation, transformation, migration, etc. Trans-regulation analyses showed that the differentially expressed lncRNAs most likely participate in the pathways regulated by four transcriptional factors, FOS, STAT3, RAD21 and E2F1, which have been identified to be involved in the modulation of oncogenic transformation, cell cycle progression, genomic instability, etc. lnc-THEMIS-2 and lnc-ITGB6-4, predicted to be regulated by STAT3 and E2F1 respectively, were found to rescue the decrease of cell viability induced by TGF-β1 treatment. Conclusion: Our findings suggest that the differentially expressed lncRNAs induced by TGF-β1 play crucial roles in the oncogenic transformation and tumorigenesis, which provide a better understanding of the underlying mechanisms related to tumorigensis induced by LD/LDR radiations.

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Avdashkin, Andrey A. "Mobilized Laborers from Central Asia in the Urals in the Days of the Great Patriotic War of 1941–45: Characterizing Archival Sources and Rethinking the Points of View." Herald of an archivist, no. 4 (2023): 1056–66. http://dx.doi.org/10.28995/2073-0101-2023-4-1056-1066.

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The article describes archival documents on the issue of lifestyle of the mobilized laborers’ from the Central Asian military district in the Urals in the days of the Great Patriotic War, which were deposited in the fonds of central and regional archives. The author examines cognitive potential and possible limitations of using these materials to study mass waves of Central Asian migration in the Soviet era from new angles of ethnicity, social organization of mobilized laborers, etc. He addresses such subjects as relations between mobilized laborers, peculiarities of their social organization, their behavior patterns under critical conditions, difficulties of medical support due to cultural and language barriers, etc. The source base is materials from the Russian State Archive of Socio-Political History (RGASPI), in particular, from the fond of the State Defense Committee (fond 644). A considerable layer of useful data is contained in the Chelyabinsk State Archive of the Chelyabinsk Region (OGACHO), in the fonds of the Magnitogorsk City Committee (fond P-234), the Chelyabinsk Regional Committee (fond P-288), the Party Committee of the Chelyabinsk Tractor Plant (fond P-124), and the Health Committee (fond R-1595). There is not enough space to describe all archival fonds containing valuable information, attention is focused only on major documents collections. Although most studied documents describe the considered phenomenon in quantitative terms, opportunities have been found for shifting research optics to anthropological subjects. Thoughtful work with new historiography on the topic of socialist construction in Central Asia in the 1920s–30s and practices of managing ethno-cultural diversity in the Soviet Union in the 1920s–40s allows the author to interpret known sources from a new angle, incorporating them into broader contexts. It is necessary to expand the source base, to attract new archival documents, materials from periodicals, and memoirs. On this basis, various waves of migration can be incorporated into a wider pattern of movements that connected the Urals and the Asian regions in the 20th–21st centuries. Such formulation of research questions seems productive and relevant in the context of growing need for historical reconstruction of labor migration from Central Asia.

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Kurchikov, A. R., R. I. Timshanov, and E. A. Ustimenko. "ADAPTATION OF THE METHOD OF CHROMATOGRAPHIC ANALYSIS OF GASOLINE TO ACHIEVE PURPOSES OF GEOCHEMICAL PROSPECTING FOR OIL AND GAS." Oil and Gas Studies, no. 6 (January 20, 2019): 16–23. http://dx.doi.org/10.31660/0445-0108-2018-6-16-23.

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Geochemical survey is commonly applied during geological exploration to predict petroleum potential of large areas and to estimate the content of traps identified by the results of seismic survey. C1-C6 hydrocarbon concentrations in samples of surface and subsurface air, soil, snow, water, etc. are used as predictive indicators. At the exploration stage the capabilities of geochemical methods can be significantly expanded by comparing the content of gasoline hydrocarbons in samples of formation fluids and in samples of near-surface sediments. The method of chromatographic analysis of gasolines Chromatec Gazolin has been adapted for sample analysis. The taken measures to increase the sensitivity allowed us to register individual hydrocarbons C1-C10 in concentrations up to 0,01 ppb, which is obviously lower than their background content in the oil prospect areas. The revealed patterns are used in the geological interpretation of geochemical distributions based on theoretical ideas about the subvertical migration of hydrocarbons from the reservoir to the surface.

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Habieva, Zaira, Ayna Salamova, and Kislyakov Alexey. "Economics of Biotechnological Processes in Sustainable Development." BIO Web of Conferences 57 (2023): 01002. http://dx.doi.org/10.1051/bioconf/20235701002.

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The growth of the world’s population and its concentration in large cities increases the pressure on ecosystems and infrastructure, which can be offset by the introduction of “smart” technologies in the urban environment. The increase in life expectancy generates demand for technologies, products, services that provide an active lifestyle, the growth of “age” employment (“silver economy”), high-tech healthcare and personalized medicine. The need to solve food problems stimulates the development of agro- and food biotechnologies, the introduction of new technologies for the industrial production of agricultural raw materials and food products. The consequences of the demographic transition, migration processes and social inequality increase the risks of new epidemics, the return of disappeared infections and, accordingly, the demand for quality and affordable medical services. Changing values, lifestyles, digitalization of society entail the transformation of consumption patterns (economy of sharing, greening, etc.). Under the influence of ICT and their convergence, globalization and digitalization will also cover the field of education, strengthening its interdisciplinary nature.

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Zhao, Dan, Weida Wu, Wenqi Zhang, Fang Yu, and Qian Sun. "Toward Sustainable Land Management: Improving Ecological Risk Assessment by Incorporating Temporal–Spatial Activities of Protected Birds." Sustainability 17, no. 5 (2025): 1948. https://doi.org/10.3390/su17051948.

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While methodologies for health risk assessment at contaminated sites are well established, ecological risk assessment remains in its exploratory stages. To explore suitable methods for evaluating the ecological risks of soil pollution, this study selected ten protected birds as risk receptors and evaluated the ecological risks posed by lead (Pb), arsenic (As), and total petroleum hydrocarbons (TPHs) at a petrochemical-contaminated site using a tiered approach. In the first tier, the risks of pollutants in soil and water were preliminarily evaluated based on existing ecological risk screening values, environmental quality standards, etc. The results indicated that pollutants in the soil and water at certain sampling points required attention. In the second tier, the ecological risks of multi-pathway exposure were assessed using the quotient method. This study improved the traditional exposure calculation model, which relied solely on bird body weight, by incorporating an exposure frequency adjustment coefficient. This coefficient accounts for the global activity patterns of birds, including the types of their activities (overwintering, breeding, migration, etc.) on the site, the temporal patterns of their activities, and the proportion of the site area relative to their annual activity range. Due to the low exposure frequency of birds on the site, ranging from 7.8 × 10−11 to 9.69 × 10−7, the total exposure levels of birds were relatively low and their risk quotients were below 1, indicating an acceptable level. This study demonstrates the rationality and feasibility of a tiered ecological risk assessment method based on an improved pollutant exposure model for birds, laying the foundation for developing soil pollution ecological risk assessment methodologies and standards in China and other countries while also supporting comprehensive and effective risk management and sustainable utilization of land.

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Liu, MengYang, MingJun Li, and XiaoYang Zhang. "The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents." Computational Intelligence and Neuroscience 2022 (June 6, 2022): 1–10. http://dx.doi.org/10.1155/2022/5653942.

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Deep learning is a branch of machine learning that uses neural networks to mimic the behaviour of the human brain. Various types of models are used in deep learning technology. This article will look at two important models and especially concentrate on unsupervised learning methodology. The two important models are as follows: the supervised and unsupervised models. The main difference is the method of training that they undergo. Supervised models are provided with training on a particular dataset and its outcome. In the case of unsupervised models, only input data is given, and there is no set outcome from which they can learn. The predicting/forecasting column is not present in an unsupervised model, unlike in the supervised model. Supervised models use regression to predict continuous quantities and classification to predict discrete class labels; unsupervised models use clustering to group similar models and association learning to find associations between items. Unsupervised migration is a combination of the unsupervised learning method and migration. In unsupervised learning, there is no need to supervise the models. Migration is an effective tool in processing and imaging data. Unsupervised learning allows the model to work independently to discover patterns and information that were previously undetected. It mainly works on unlabeled data. Unsupervised learning can achieve more complex processing tasks when compared to supervised learning. The unsupervised learning method is more unpredictable when compared with other types of learning methods. Some of the popular unsupervised learning algorithms include k-means clustering, hierarchal clustering, Apriori algorithm, clustering, anomaly detection, association mining, neural networks, etc. In this research article, we implement this particular deep learning model in the marketing oriented asset allocation of high level accounting talents. When the proposed unsupervised migration algorithm was compared to the existing Fractional Hausdorff Grey Model, it was discovered that the proposed system provided 99.12% accuracy by the high level accounting talented candidate in market-oriented asset allocation.

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Liu, MengYang, MingJun Li, and XiaoYang Zhang. "The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents." Computational Intelligence and Neuroscience 2022 (June 6, 2022): 1–10. http://dx.doi.org/10.1155/2022/5653942.

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Deep learning is a branch of machine learning that uses neural networks to mimic the behaviour of the human brain. Various types of models are used in deep learning technology. This article will look at two important models and especially concentrate on unsupervised learning methodology. The two important models are as follows: the supervised and unsupervised models. The main difference is the method of training that they undergo. Supervised models are provided with training on a particular dataset and its outcome. In the case of unsupervised models, only input data is given, and there is no set outcome from which they can learn. The predicting/forecasting column is not present in an unsupervised model, unlike in the supervised model. Supervised models use regression to predict continuous quantities and classification to predict discrete class labels; unsupervised models use clustering to group similar models and association learning to find associations between items. Unsupervised migration is a combination of the unsupervised learning method and migration. In unsupervised learning, there is no need to supervise the models. Migration is an effective tool in processing and imaging data. Unsupervised learning allows the model to work independently to discover patterns and information that were previously undetected. It mainly works on unlabeled data. Unsupervised learning can achieve more complex processing tasks when compared to supervised learning. The unsupervised learning method is more unpredictable when compared with other types of learning methods. Some of the popular unsupervised learning algorithms include k-means clustering, hierarchal clustering, Apriori algorithm, clustering, anomaly detection, association mining, neural networks, etc. In this research article, we implement this particular deep learning model in the marketing oriented asset allocation of high level accounting talents. When the proposed unsupervised migration algorithm was compared to the existing Fractional Hausdorff Grey Model, it was discovered that the proposed system provided 99.12% accuracy by the high level accounting talented candidate in market-oriented asset allocation.

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Manandhar, Achut, Alex Fischer, David J. Bradley, et al. "Machine Learning to Evaluate Impacts of Flood Protection in Bangladesh, 1983–2014." Water 12, no. 2 (2020): 483. http://dx.doi.org/10.3390/w12020483.

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Impacts of climate change adaptation strategies need to be evaluated using principled methods spanning sectors and longer time frames. We propose machine-learning approaches to study the long-term impacts of flood protection in Bangladesh. Available data include socio-economic survey and events data (death, migration, etc.) from 1983–2014. These multidecadal data, rare in their extent and quality, provide a basis for using machine-learning approaches even though the data were not collected or designed to assess the impact of the flood control investments. We test whether the embankment has affected the welfare of people over time, benefiting those living inside more than those living outside. Machine-learning approaches enable learning patterns in data to help discriminate between two groups: here households living inside vs. outside. They also help identify the most informative indicators of discrimination and provide robust metrics to evaluate the quality of the model. Overall, we find no significant difference between inside/outside populations based on welfare, migration, or mortality indicators. However, we note a significant difference in inward/outward movement with respect to the embankment. While certain data gaps and spatial heterogeneity in sampled populations suggest caution in any conclusive interpretation of the flood protection infrastructure, we do not see higher benefits accruing to those living with higher levels of protection. This has implications for Bangladesh’s planning for future and more extreme climate futures, including the national Delta Plan, and global investments in climate resilient infrastructure to create positive social impacts.

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Kauffman, Erle G., and Bradley B. Sageman. "Biological patterns in sequence stratigraphy; Cretaceous of the Western Interior Basin, North America." Paleontological Society Special Publications 6 (1992): 158. http://dx.doi.org/10.1017/s2475262200007188.

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High-resolution stratigraphic analysis of Cretaceous strata in the Western Interior Basin (WIB) of North America has allowed definition of numerous disconformity-bounded, eustatically and/or tectonically driven sequences and their systems tracts at 2nd- through 4th-order scale, as well as 5th- to 7th-order climate-induced cycles. Integrated event chronostratigraphy and biostratigraphy allow detailed regional tracing and facies analysis of these sequences, leading to three-dimensional modeling of facies evolution. Whether driven by relative sealevel changes or smaller scale climate cycles, Cretaceous sequences and their bounding disconformities reflect dynamic changes in many factors which moderate biological systems (e.g. sealevel and paleobathymetric changes, changes in current velocity and in erosion/sedimentation rates and patterns, watermass temperature and chemistry, etc). Predictable biological responses (patterns) to varying environmental conditions and different systems tracts are expected in sequence stratigraphy. Once defined within well-studied systems, these patterns can then be used as an independent tool for sequence stratigraphic analysis. To date, our research has focused on the development of paleobiological criteria which aid in the recognition of sequence stratigraphic frameworks, especially in basinal facies where sequence boundaries and systems tracts may be subtly defined in the physical stratigraphy. Such criteria may include the identification of sequence boundaries and other omission surfaces by punctuated character displacement in evolutionary series, by condensation or omission of biostratigraphic zones, by mixed or time-averaged community elements and biozones, and by selective colonization by firm substrate-dependent benthic communities. Gradients within and between systems are characterized by different community composition, biofacies, taxonomic and community diversity patterns, adaptive bauplans among resident taxa, taphonomic signatures, and bioevents that allow predictive biological characterization in sequence stratigraphy. Once established and correlated, sequence stratigraphic systems among different basins provide a chronostratigaphic and environmental framework within which the regional dynamics of ancient populations and communities can be evaluated, leading to the analysis and modeling of relationships between sealevel changes and biogeographic migration patterns, and the rates and patterns of evolution and extinction.

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Chouhan, Bhanu Priya, and Monika Kannan. "Impacts of Urbanization on Land Use Pattern and Environment: A Case Study of Ajmer City, Rajasthan." Asian Review of Social Sciences 8, no. 1 (2019): 87–91. http://dx.doi.org/10.51983/arss-2019.8.1.1514.

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The world is undergoing the largest wave of urban growth in history. More than half of the world’s population now lives in towns and cities, and by 2030 this number will swell to about 5 billion. ‘Urbanization has the potential to usher in a new era of wellbeing, resource efficiency and economic growth. But due to increased population the pressure of demand also increases in urban areas’ (Drakakis-Smith, David, 1996). The loss of agricultural land to other land uses occasioned by urban growth is an issue of growing concern worldwide, particularly in the developing countries like India. This paper is an attempt to assess the impact of urbanization on land use and land cover patterns in Ajmer city. Recent trends indicate that the rural urban migration and religious significance of the place attracting thousands of tourists every year, have immensely contributed in the increasing population of city and is causing change in land use patterns. This accelerating urban sprawl has led to shrinking of the agricultural land and land holdings. Due to increased rate of urbanization, the agricultural areas have been transformed into residential and industrial areas (Retnaraj D,1994). There are several key factors which cause increase in population here such as Smart City Projects, potential for employment, higher education, more comfortable and quality housing, better health facilities, high living standard etc. Population pressure not only directly increases the demand for food, but also indirectly reduces its supply through building development, environmental degradation and marginalization of food production (Aldington T, 1997). Also, there are several issues which are associated with continuous increase in population i.e. land degradation, pollution, poverty, slums, unaffordable housing etc. Pollution, formulation of slums, transportation congestion, environmental hazards, land degradation and crime are some of the major impacts of urbanization on Ajmer city. This study involves mapping of land use patterns by analyzing data and satellite imagery taken at different time periods. The satellite images of year 2000 and 2017 are used. The change detection techniques are used with the help of Geographical Information System software like ERDAS and ArcGIS. The supervised classification of all the three satellite images is done by ERDAS software to demarcate and analyze land use change.

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Karabuva, Željko. "The Role of Media in Shaping Public Perception of Immigrants." Fluminensia 33, no. 1 (2021): 143–67. http://dx.doi.org/10.31820/f.33.1.14.

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Immigration has become one of the most important topics in the political debate and the public media for the last decade. This study analyzes the patterns of words that the press uses to describe immigration and immigrants. We will focus on conceptual metaphors and their linguistic manifestations in the British, American and Croatian mainstream newspapers. This study attempts to gain an understanding of the strategic use of conceptual metaphors to construct and shape the context of the immigration discourse. The cognitive theory is outlined (see Lakoff &amp; Johnson 1980, Kövecses 2002, Goatly 2007, Barcelona 2000, Croft et al. 2004) and applied to the immigration discourse as found in the public media (see Wodak 2015, van Dijk 2000, Cunningham-Parmeter 2012, Musolff 2015, Drulak 2006, etc.). The results of the analysis of a representative data of immigration metaphors show that a small set of 'conceptual frames' underlies the perception of immigrants. Several competing metaphors have been identified: immigrant=alien, migration=water, flood, immigration=movement/journey, etc. These metaphors are constantly repeated in different discourses that revolve around the concept of immigration. This study empirically attempts to identify how the media formulates its views about the migrants. In exploring the phenomenon of immigration we have used an interdisciplinary approach, combining qualitative and quantitative research methods, including socio-political and linguistic perspectives. The outcome of this research may provide the relevant source for future research to measure media’s role in shaping and defining public opinion about immigration issues.

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Journal articles on the topic 'Migration Patterns etc'

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