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1. How do environmental stressors influence migration? A meta-regression analysis of environmental migration literature

   https://doi.org/10.4054/DemRes.2024.50.2  

   Zhou, Shuai; Chi, Guangqing (January 2024, Demographic Research)

   Background: The amount of literature on environmental migration is increasing. However, existing studies exhibit contradictory results. A systematic synthesis of the environment–migration relationship is much needed. Objective: This study summarizes research findings, calculates the effect sizes of environmental stressors, identifies publication bias, and investigates heterogeneous environmental effects on migration. Methods: We collected 3,380 estimates from 128 studies published between 2000 and 2020 to explore the environment–migration relationship and performed weighted instrumental variable regression to unveil the heterogeneous environmental effects on out- and net migration. Results: The majority of environmental stressors were not important predictors of out- and net migration. Among the results showing environmental impacts on migration, 58% and 68% reported that environmental stressors increased out- and net migration, respectively, while 58% reported that environmental stressors decreased in-migration. The overall environmental impact on migration was small; however, disaster-related stressors showed a medium effect, and rapid-onset stressors had a stronger impact than slow-onset ones. Multivariate meta-regression analyses demonstrated that environmental stressors were more likely to trigger internal migration than international migration and that developed countries were less likely to experience out-migration. Rapid-onset environmental stressors did not increase out-migration but played an important role in decreasing net migration toward environmentally stressed areas. Meanwhile, we also found a publication bias toward studies showing a positive relationship between environmental stressors and migration in the previous environmental migration literature. Conclusions: Environmental stressors may affect migration; however, the environmental effect depends on migration measurements, environmental stressors' forces and rapidity, and the context in which migration takes place. Contribution: This study contributes to migration studies by synthesizing and validating the environment–migration relationship and enhancing our understanding of how and under what circumstances environmental stressors may affect migration. 

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2. A Multiscalar Consideration of the Athabascan Migration

   https://doi.org/10.1017/aaq.2020.34  

   Doering, Briana N.; Esdale, Julie A.; Reuther, Joshua D.; Catenacci, Senna D. (July 2020, American Antiquity)

   Después de vivir miles de años en el sub-árctico, evidencia lingüística y genética sugiere que hace aproximadamente 1.000 años, los Atabascanos del Norte migraban al sur oeste de los Estados Unidos. Antropólogos han surgido que esta migración, y varias transiciones conductuales in situ asociadas, fueron causados por una erupción volcánica que diezmó manadas de caribú. Sin embargo, después de esta erupción, parece que populaciones regionales se aumentó al mismo tiempo que esta transición, un cambio demográfico que pudo haber llevado un aumento en la territorialidad, la demanda de recursos, y la especialización económica. Basándose en las síntesis existentes de las dinámicas culturales en la región, analices de materiales excavados, y los paisajes de Alaska y el Yukón, esta investigación muestra que la transición Atabascana representó un cambio hacia una especialización en la recolección de salmón y la caza del caribú. Este cambio estaba asociado con un aumento general en la amplitud de la dieta, indicando una transición conductual que está más coherente con un cambio demográfico gradual. Además, esta transición conductual ya hubiera comenzado antes que la erupción volcánica en 1150 cal BP, lo cual sugiere que la inmigración al suroeste era causada por presión demográfica y no la erupción volcánica. En suma, esta investigación elabora las dinámicas complejas de resiliencia y adaptación en grupos cazadores-recolectores y proporciona un modelo comprobable para explicar otras migraciones prehistóricas. 

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3. A Case for Granularity Aware Page Migration

   https://doi.org/10.1145/3205289.3208064  

   Ryoo, Jee Ho; John, Lizy K.; Basu, Arkaprava (January 2018, ICS)
4. A continental system for forecasting bird migration

   https://doi.org/10.1126/science.aat7526  

   Van Doren, Benjamin M.; Horton, Kyle G. (September 2018, Science)

   Billions of animals cross the globe each year during seasonal migrations, but efforts to monitor them are hampered by the unpredictability of their movements. We developed a bird migration forecast system at a continental scale by leveraging 23 years of spring observations to identify associations between atmospheric conditions and bird migration intensity. Our models explained up to 81% of variation in migration intensity across the United States at altitudes of 0 to 3000 meters, and performance remained high in forecasting events 1 to 7 days in advance (62 to 76% of variation was explained). Avian migratory movements across the United States likely exceed 500 million individuals per night during peak passage. Bird migration forecasts will reduce collisions with buildings, airplanes, and wind turbines; inform a variety of monitoring efforts; and engage the public. 

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5. Lateral Migration of Cancer Cells in a Microchannel

   https://doi.org/10.1115/dmd2024-1096  

   Akerkouch, Lahcen; Le, Trung B; Haage, Amanda (April 2024, American Society of Mechanical Engineers)

   Abstract This work presents the development of a novel approach to model cancer cell dynamics in microcirculation. The proposed numerical model is based on a hybrid continuum-particle approach. The cancer cell model includes the cell membrane, nucleus, cytoplasm and the cytoskeleton. The Dissipative Particle Dynamics method was employed to simulate the mechanical components. The blood plasma is modeled as a Newtonian incompressible fluid. A Fluid-Structure Interaction coupling, leveraging the Immersed Boundary Method is developed to simulate the cell's response to flow dynamics. The model is applied to resolve the transport of cancer cells with realistic morphologies in microcirculatory flows. Our results suggest that the controlling of oscillatory flows can be utilized to induce specific morphological shapes and the surrounding fluid patterns, allowing full manipulation and control of the cell. Furthermore, the intracellular and extracellular dynamics response of the cancer cell is intrinsically linked to their shape, in which certain morphologies displayed strong resistance to the fluid-induced forces and the ability to migrate in various directions. Our computational framework provides new capabilities for designing bioengineering devices for cell manipulation and separation. 

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