Infrastructure Integration Research Articles

FitMultiCell: simulating and parameterizing computational models of multi-scale and multi-cellular processes.

Biological tissues are dynamic and highly organized. Multi-scale models are helpful tools to analyse and understand the processes determining tissue dynamics. These models usually depend on parameters that need to be inferred from experimental data to achieve a quantitative understanding, to predict the response to perturbations, and to evaluate competing hypotheses. However, even advanced inference approaches such as approximate Bayesian computation (ABC) are difficult to apply due to the computational complexity of the simulation of multi-scale models. Thus, there is a need for a scalable pipeline for modeling, simulating, and parameterizing multi-scale models of multi-cellular processes. Here, we present FitMultiCell, a computationally efficient and user-friendly open-source pipeline that can handle the full workflow of modeling, simulating, and parameterizing for multi-scale models of multi-cellular processes. The pipeline is modular and integrates the modeling and simulation tool Morpheus and the statistical inference tool pyABC. The easy integration of high-performance infrastructure allows to scale to computationally expensive problems. The introduction of a novel standard for the formulation of parameter inference problems for multi-scale models additionally ensures reproducibility and reusability. By applying the pipeline to multiple biological problems, we demonstrate its broad applicability, which will benefit in particular image-based systems biology. FitMultiCell is available open-source at https://gitlab.com/fitmulticell/fit.

A Review on Urban Planning and Its Role in Managing Flood Risks

This review delves deep into the intricate relationship between urban planning and flood risk management, tracing its historical trajectory and the evolution of methodologies over time. Traditionally, urban centers prioritized defensive measures, like dikes and levees, with an emphasis on immediate solutions over long-term resilience. These practices, though effective in the short term, often overlooked broader environmental implications and the necessity for holistic planning. However, as urban areas burgeoned and climate change introduced new challenges, there has been a marked shift in approach. Modern urban planning now emphasizes integrated blue-green infrastructure, aiming to harmonize human habitation with water cycles. Resilience has become the cornerstone, ensuring cities can adapt to and swiftly recover from flooding events. Through meticulous spatial planning, land use regulations, and the integration of green infrastructure, urban planning has transformed cities into sustainable habitats. Yet, challenges abound, from rapid urbanization to socio-economic disparities that amplify vulnerabilities. Drawing lessons from successful strategies adopted in cities like Rotterdam, Singapore, and Portland, this review underscores the imperative of innovative thinking, community engagement, and adaptability. In conclusion, effective urban planning can indeed metamorphose flood challenges into opportunities for resilience, sustainability, and improved quality of life.

Implementation of innovative technologies in Kazakhstan: A case of the energy sector

The implementation of innovative renewable energy projects is designed to meet the growing electricity demand and reduce carbon dioxide emissions into the atmosphere. In order to avoid resource dependence of the economy and meet the demand for electricity in remote areas of Kazakhstan, the development of renewable energy sources is urgent. The purpose of this study is to analyze the effectiveness of the implementation of existing mechanisms for the implementation of innovative renewable energy projects through auctions. Moreover, it identifies their shortcomings and offers proposals for improvement. The analysis uses data from the Kazakhstan Bureau of National Statistics on renewable energy sources, namely alternative energy sources such as solar and wind power plants, excluding biogas. The methodology provides for the assessment of projects implemented through auctions for 2018–2021, taking into account such indicators as the dynamics of the number of wind and solar energy projects, their capacity, the percentage of auction price reduction for a specific year. The paper discusses the mechanism for conducting auctions of solar and wind electricity, which, through the auction organizer, connects authorized bodies and investors. The main indicators of auctions for individual years are noted, and the main shortcomings of this mechanism are identified. The analysis of barriers to innovative renewable energy project implementation revealed the presence of contradictions in the price regulation of renewable electricity, the lack of market pricing mechanisms, and the unpreparedness of the energy infrastructure for integration with renewable sources. AcknowledgmentThis research is funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant No. AP13268750).

Anomaly Detection in a Smart Microgrid System Using Cyber-Analytics: A Case Study

Smart microgrids are being increasingly deployed within the Department of Defense. The microgrid at Marine Corps Air Station (MCAS) Miramar is one such deployment that has fostered the integration of different technologies, including 5G and Advanced Metering Infrastructure (AMI). The objective of this paper is to develop an anomaly detection framework for the smart microgrid system at MCAS Miramar to enhance its cyber-resilience. We implement predictive analytics using machine learning to deal with cyber-uncertainties and threats within the microgrid environment. An autoencoder neural network is implemented to classify and identify specific cyber-attacks against this infrastructure. Both network traffic in the form of packet captures (PCAP) and time series data (from the AMI sensors) are considered. We train the autoencoder model on three traffic data sets: (1) Modbus TCP/IP PCAP data from the hardwired network apparatus of the smart microgrid, (2) experimentally generated 5G PCAP data that mimic traffic on the smart microgrid and (3) AMI smart meter sensor data provided by the Naval Facilities (NAVFAC) Engineering Systems Command. Distributed denial-of-service (DDoS) and false data injection attacks (FDIA) are synthetically generated. We show the effectiveness of the autoencoder on detecting and classifying these types of attacks in terms of accuracy, precision, recall, and F-scores.

Integration of government accounting system reform and university infrastructure consolidation based on type two fuzzy sets

Abstract Type II fuzzy set can innovate the accounting method of infrastructure consolidation and integration work. Based on this, this paper constructs a new and feasible accounting system for the integration of government accounting systems and university infrastructure. The specific application is that any point on the financial subordination domain and its corresponding subordination interval constitutes a type two fuzzy set, and the fuzzy set is used as the object for modeling. Using the interval type-two fuzzy set for word calculation, the result of the calculation is output by the decoder and sorted, and the value of the accounting account amount can be derived. The mutual subset measure between the input interval type II fuzzy set and the rule antecedent interval type II fuzzy set is used to check the accounting bills of the rule activation interval and to verify the performance of its use in the capital consolidation work of S universities. The experimental results show that after transferring the balance of $4,982,600 for prepaid construction and $4,956,200 for prepaid provisioning to the prepaid account on the basis of ensuring the consistency of the output KM algorithm, the balance of the account becomes $9,938,800. This result shows that the type II fuzzy set saves 42% of the arithmetic cost for this transfer of university infrastructure accounts, and contributes to the realization of the government accounting system reform and the improvement of financial management of the integration of university infrastructure accounts.

Characterization of electricity demand based on energy consumption data from Colombia

<span lang="EN-US">The development of dynamic energy distribution grids to optimize energy resources has become very important at the international level in recent years. A very important step in this development is to be able to characterize the population based on their consumption behaviour. However, traditional consumption meters that report information at a monthly rate provide little information for in-depth analysis. In Colombia, this has changed in recent years due to the implementation and integration of advanced metering infrastructure (AMI). This infrastructure allows to record consumption values in small time intervals, and the available data then allows for the execution of many analysis mechanisms. In this paper we present an analysis of the electricity demand profile from a new dataset of energy consumption in Colombia. A characterization of the users demand profiles is presented using a k-means clustering procedure. Whit this customer segmentation technique we show that is possible identify customer consumption patterns and to identify anomalies in the system. In addition, this type of analysis also allows to assess changes in the consumption pattern of users due to social measures such as those resulting from the coronavirus disease (COVID-19) pandemic.</span>

Electrifying Carbon Capture by Developing Nanomaterials at the Interface of Molecular and Process Engineering.

ConspectusCarbon capture is an indispensable step toward closing the anthropogenic carbon cycle. However, the large-scale implementation of conventional thermochemical carbon capture technologies is hindered by their low energy efficiency, limited sorbent stability, and complexity in infrastructure integration. A mechanistically different alternative, commonly known as electrochemically mediated carbon capture (EMCC), has garnered increasing research traction over the past few years and relies on electrochemical stimuli instead of thermal or pressure swings for the capture and release of carbon dioxide (CO2). Compared to conventional methods, EMCC can be operated under mild conditions driven by intermittent renewable energy sources and has a flexible design to meet the multiscale demands of carbon capture, offering a potentially sustainable, energy-efficient, and cost-effective solution to CO2 concentration from dilute mixtures or the ambient environment.Nanomaterials have played a crucial role in carbon capture research. For instance, nanoporous materials can provide increased free volumes, surface areas, and active sites for carbon capture through physical or chemical adsorption from the gaseous phase. In contrast, EMCC relies on chemical absorption via acid-base interactions using solubilized CO2 in electrolytes. Therefore, most EMCC sorbents and mediators explored so far have been developed as molecules rather than nanomaterials. In recent years, our team has been focusing on electrifying the carbon capture processes at the molecular, materials, and process levels. We seek to address the most pressing issues associated with EMCC, either in fixed-bed or flow systems, that prevent their practical use. These issues include parasitic reactions with molecular oxygen, insufficient electrode capacity utilization, sorbent crossover, etc. To address these problems, there is an urgent need to develop rationally designed nanomaterials at the interface of molecular electrochemistry and device engineering. This Account provides an overview of recent progress on developing new chemistries and engineering batch/continuous processes for EMCC. We discuss the limitations of current EMCC technology and emphasize why nanomaterials are critical for electrifying carbon capture. First, we introduce the design principles for EMCC sorbents based on redox-active organic CO2 carriers and discuss metrics for their performance evaluation. Second, we showcase how molecular design can tackle problems of sorbent solubility, oxygen stability, and electrolyte compatibility in EMCC. Third, we discuss the early results of nanomaterials as solid sorbents in fixed-bed systems, nonswelling membranes for flow systems, and high-surface-area gas-liquid contactors. Finally, building on the foundation we established through our prior work, we offer perspectives on future directions for nanomaterials to help address the challenges in EMCC.

Refuelling tests of a hydrogen tank for heavy-duty applications

A transition towards zero-emission fuels is required in the mobility sector in order to reach the climate goals. Here (green) renewable hydrogen for use in fuel cells will play an important role, especially for heavy duty applications such as trucks. However, there are still challenges to overcome regarding efficient storage, infrastructure integration and optimization of the refuelling process. A key aspect is to reduce the refuelling duration as much as possible, while staying below the maximum allowed temperature of 85 °C. Experimental tests for the refuelling of a 320 l type III tank were conducted at different operating conditions and the tank gas temperature measured at the front and back ends. The results indicate a strongly inhomogeneous temperature field, where measuring and verifying the actual maximum temperatures proves difficult. Furthermore, a simulation approach is provided to calculate the average tank gas temperature at the end of the refuelling process.

Moving green infrastructure planning from theory to practice in sub-Saharan African cities requires collaborative operationalization

Researchers increasingly consider the systematic integration of green infrastructure (GI) concepts in urban planning as an essential approach to tackle significant current and future challenges. Cities in sub-Saharan Africa (SSA) face rapid urbanization, unregulated land-use practices, and poor enforcement of policies. These cities struggle to address the depletion and degradation of existing GI that increases their vulnerability to climatic hazards that threaten ecosystem integrity, and compromise human health. This paper draws on a review of policy documents, semi-structured interviews with metro officials, and cross-sector focus group discussions to explore ways to operationalize GI spatial planning and design on the ground. Through a case study of the City of Tshwane Metropolitan Municipality, South Africa, which takes a public-private co-development approach, we investigate the uptake of GI planning principles, the challenges, and local proposals for GI applications. In conjunction with the literature, we discuss the alternatives at hand. The local policy documents reflected many planning principles anchored in the Global North literature. Together with public and private partners, we co-developed four locally informed GI objectives: environmental protection, safety, joint ownership, and collaborative governance. We co-identified local planning principles and three strategies for operationalizing GI planning, including working with conventional planning, greater flexibility and creativity, and cross-sectoral collaboration. The findings suggest that collaborative strategies that allow greater access and the active, diverse use of GI could provide much-required cross-sectoral care and management. The real challenge is the establishment of such participatory partnerships as mechanisms to consolidate diverse priorities and co-develop technical and financial alternatives.

Identifying and Modeling the Factors That Affect Bicycle Users’ Satisfaction

The parameters that affect bicyclists’ satisfaction are of vital importance when it comes to determining the reasons that endure bicycle usage in an urban environment. This research refers to the factors that affect bicycle users’ satisfaction with the existing infrastructure in the Municipality of Thessaloniki, Greece. Bicycle dependence in Thessaloniki is relatively limited when it is compared to other European cities with similar topological and demographic characteristics. This article aims to determine the most suitable measures that policymakers should implement to enhance bicycle infrastructure. The data collection process was realized through an online questionnaire survey addressed to the bicycle organizations and groups that are situated in Thessaloniki. Inferential statistical analysis investigated the dependency between the perceived satisfaction and the perceived level of safety of cyclists. Ordinal and multinomial logistic regressions were applied to identify the significant problems that influenced cyclists’ satisfaction, as well as the most important improvement measures suggested by the survey participants. The findings revealed that the lack of safety and urban integration of bicycle infrastructures were the statistically significant issues affecting users’ satisfaction. The development of a safe, integrated, and interconnected bicycle network area emerges as a priority to increase cyclists’ satisfaction and daily bicycle trips in cities with low bicycle culture.

Precision Medicine: Tailoring Therapies for Individual Patient Needs

Precision medicine is a novel paradigm in healthcare that refers to a revolutionary method of customising medicinal therapies for specific individuals. The present study delves into the development, obstacles, and many uses of precision medicine, emphasising its crucial function in transforming healthcare for patients. Precision medicine has come a long way since the groundbreaking success of the Human Genome Project, thanks to advances in genome sequencing technology and computer power. Important elements of this strategy include focused medicines, personalised diagnostics, and genetic profiling, with the goal of maximising therapeutic effectiveness and minimising side effects. Implementing precision medicine presents a number of challenges, from the necessity for a strong infrastructure for data interpretation and clinical integration to ethical issues relating to patient data protection.
 The influence of precision medicine is seen across several fields, most notably oncology, where tailored treatments that are emerging as a result of genetic sequencing of tumours are revolutionising cancer treatment. Furthermore, pharmacogenomics clarifies how genetic differences affect drug response, opening the door to customised treatment regimens. Interestingly, precision medicine plays a part in uncommon diseases as well, providing specialised care based on genetic discoveries.
 The assessment emphasises the necessity of teamwork in overcoming obstacles and realising precision medicine's full potential. It is still critical to address healthcare inequities, make sure regulatory frameworks keep up with changing technology, and develop a workforce that is skilled in genetic interpretation. A new age of healthcare marked by precise and personalised therapies that maximise patient outcomes is anticipated as precision medicine develops further.

Effects of recycling on polystyrene shape memory polymers for in-situ resource utilization

One-way, thermoplastic shape memory polymers (SMPs) used as actuators for self-folding origami are typically single-use materials that would be decommissioned upon completion of mission objectives. As a result, there exists an abundance of unutilized, single-use SMP waste. In-situ resource utilization (ISRU) and recycling offer solutions for the use and integration of sustainable SMP material infrastructures on Earth and for long-duration space missions. Unfortunately, mechanical recycling causes degradation of material properties. Therefore, it is imperative to quantify the effects of recycling on SMP properties. Herein, we utilize a thermo-mechanical recycling method applied to polystyrene SMPs. After recycling, we conduct Fourier transform infrared spectroscopy, differential scanning calorimetry, and dynamic mechanical analysis to investigate changes to the chemical structure, viscoelastic properties, and shape recovery response of the polymer. The results indicate negligible changes to the viscoelastic and shape recovery properties of the recycled material from one to six recycling sequences (extrusions) when compared to the non-recycled material. The most evident form of deterioration occurred in the physical appearance of the material. Otherwise, the shape recovery performance and thermo-mechanical properties remained consistent after recycling. Therefore, the recovery characteristics (recovery ratio, recovery time, and actuation stress) do not change significantly after six recycling sequences, making this material viable for ISRU applications in space environments.

A data-assimilative modeling investigation of Gulf Stream variability

An advanced data-assimilative ocean circulation model is used to investigate Gulf Stream (GS) variability during 2017–2018. The modeling system applies a strong-constraint, 4D variational data assimilation algorithm. It assimilates satellite-based sea surface height and sea surface temperature measurements and in situ temperature and salinity profiles. Model skill assessment metrics along with comparisons of GS position and GS's three-dimensional mean kinetic energy with historical observations are applied to validate the data-assimilative model. The resulting time- and space-continuous ocean state estimates are used to diagnose eddy kinetic energy conversion and cross-stream eddy heat and salt fluxes over the two-year study period. The processes leading to kinetic energy conversion are primarily due to GS meanders. Significant inverse energy cascading (EKE→MKE and EKE→EPE) can occur during GS-eddy interactions, particularly during onshore intrusions or offshore meanderings of the GS. Throughout the two-year study period, the cross-stream eddy heat and salt fluxes off Cape Hatteras were predominantly positive (onshore). Both GS offshore meandering (occurring 44% of the time and associated with shelf/slope water export) and GS intrusion (occurring 56% of the time) contribute to onshore heat and salt transport. Improved understanding of these processes and dynamics requires strong integration of an advanced observational infrastructure that combines remote sensing; fixed, mobile, and shore-based observing components; and high-resolution data assimilative models.

Blast resisting responses and upgrading technology for an underground structure subjected to external explosions

Underground structures are widely constructed as the key parts of lifeline system with synthetic functions in modern society. Simultaneously, the integration of blast-resisting infrastructures and civil underground structures has attracted increasing attention. Therefore, this study investigated the blast-resisting mechanism of underground structures under conditions of surface and subsurface explosion. Then, a series of upgrading approaches for underground structures subjected to external explosion are compared and investigated through the isolation technology, Strain-Hardening Cementitious Composites (SHCC) technology, and partially encased composite structures technology. The obtained results showed that the developed blast-resisting evaluation framework can effectively quantify the multi-performance of the entire underground structure subjected to the external explosions, given the formation of an evaluation database of comparative performances between variant explosion cases to distinguish the component vulnerable to blast locations. Dealing with any possible top-surface explosion and penetrating blast, the proposed isolated column, SHCC column, and partially encased composite column-based methods can effectively protect the vulnerable column, at the same time reducing the dynamic responses near the explosion center. Considering the stochastic property of the explosion, the integration upgrading approach using the SHCC isolated column is suggested for the underground structure subjected to both explosion and earthquake in practice.

Carbon-Neutral ESG Method Based on PV Energy Generation Prediction Model in Buildings for EV Charging Platform

Energy prediction models and platforms are being developed to achieve carbon-neutral ESG, transition buildings to renewable energy, and supply sustainable energy to EV charging infrastructure. Despite numerous studies on machine learning (ML)-based prediction models for photovoltaic (PV) energy, integrating models with carbon emission analysis and an electric vehicle (EV) charging platform remains challenging. To overcome this, we propose a building-specific long short-term memory (LSTM) prediction model for PV energy supply. This model simulates the integration of EV charging platforms and offer solutions for carbon reduction. Integrating a PV energy prediction model within buildings and EV charging platforms using ICT is crucial to achieve renewable energy transition and carbon neutrality. The ML model uses data from various perspectives to derive operational strategies for energy supply to the grid. Additionally, simulations explore the integration of PV-EV charging infrastructure, EV charging control based on energy, and mechanisms for sharing energy, promoting eco-friendly charging. By comparing carbon emissions from fossil-fuel-based sources with PV energy sources, we analyze the reduction in carbon emission effects, providing a comprehensive understanding of carbon reduction and energy transition through energy prediction. In the future, we aim to secure economic viability in the building energy infrastructure market and establish a carbon-neutral city by providing a stable energy supply to buildings and EV charging infrastructure. Through ongoing research on specialized models tailored to the unique characteristics of energy domains within buildings, we aim to contribute to the resolution of inter-regional energy supply challenges and the achievement of carbon reduction.

A new low‐cost and low‐power industrial internet of things infrastructure for effective integration of distributed and isolated systems with smart grids

AbstractInternet of Things (IoT) has recently become one of the fast‐growing technologies in the world. Integrating existing systems with smart grids still represents a significant challenge arising from the massive cost of upgrading the infrastructure. This paper provides an IoT infrastructure solution based on a newly designed low‐cost microcontroller‐based IoT remote terminal unit (RTU) to integrate new, old, and conventional sites of existing grids with smart grids. The IoT RTU supports Wi‐Fi communication and includes digital/analog inputs and outputs besides the advantage of serial data transmission standard RS‐485 as an industrial field communication (IFC). The Modbus communication protocol is utilized as a serial industrial protocol that can be interfaced over the RS‐485 standard. The advantage of having an IFC protocol integrated into the IoT infrastructure enables to link any supported device and publish the required data to the cloud, besides the ability to add smart metering technologies, which allows Advanced Metering Infrastructure (AMI) in these areas. IoT‐enabled Supervisory Control and Data Acquisition (SCADA) system is integrated with the proposed IoT infrastructure for its advantages of remote monitoring and control. The proposed IoT infrastructure is characterized by proper data security and low power consumption. The IoT infrastructure is simulated with an existing real application for proof of concept, and the results are discussed for different case studies.

Economic appraisal and strategic analysis of the onion industry in the Philippines

This research undertakes a comprehensive evaluation of the economic dynamics within the onion industry, concentrating specifically on the prolific "Onion Basket of the Philippines" and its extension throughout Southeast Asia. Employing the value chain model as a methodological scaffold, the study meticulously dissects the intricate fabric of activities within this sector, aiming to pinpoint the exact operations that confer amplified value and competitive edge to this agricultural commodity. Through a meticulous selection process encompassing 360 agrarian participants, primarily sourced from the preeminent onion-producing municipalities of Nueva Ecija—namely, Bongabon, Gabaldon, and Laur—this investigation orchestrates an exhaustive scrutiny of the financial implications and returns. By comparing analyses across both traditional post-harvest marketing and the integration of cold storage infrastructure, the study unveils pronounced differentials. Evidently, the incorporation of cold storage resources precipitates substantial revenue escalation for farmers, in stark contrast to immediate post-harvest sales. However, the accompanying capital outlay affiliated with cold storage mandates judicious deliberation. Given the considerable financial connotations, this research underscores the imperativeness of establishing rigorous regulatory frameworks governing onion cold storage practices. Furthermore, acknowledging the intricate mesh of interests embedded within the onion value chain, it advocates heightened vigilance and stringent oversight concerning stakeholders. This multifaceted investigation, beyond contributing empirical authenticity, serves as a clarion call for prudent stewardship of this pivotal agricultural domain.

MIGRANT INTEGRATION IN EUROPEAN COUNTRIES

The European Union was created and is founded on values which are the joint heritage and patrimony of the overall development of Europe, namely the ideals of freedom, unity and equality, peace and security, democracy, human and minority rights and the rule of law. The reason why migrants come to Europe is because it is safe, there is more democracy, there is more freedom, more tolerance, but also more social benefits, than in their countries of origin. The EU ensures the social needs of migrants are met through tax revenues. It also specifies the frameworks within which member states adopt the laws constituting the institutional integration infrastructure. Integration is the two-way process of adaptation between migrants and the receiving society, and therefore, the same effort is expected from immigrants who, fleeing conflict and poverty, have found the opportunity to start a new life in the country of immigration. However, many, once settled, do not want to integrate, but rather continue to live in Europe as they did in the countries from where they came. Numerous domicile residents feel that major ethnic changes are changing European culture too quickly, and that this could have unintended consequences, among other things, in terms of the economy. The objective of this paper is to identify the challenges related to migration, increase awareness of the issue, analyze and compare the integration efforts made by EU countries, and highlight the challenges they faced and the outcomes of their initiatives. The study involved comparing data from secondary sources and conducting a meta-analysis of relevant literature. Such research is significant in enhancing the migration process as continuous awareness-raising about this matter is one of the key solutions for embracing the changes in migration that affect us all.

Legal Framework for Social Infrastructure for Social Integration of the Roma and Their Preferences: Case of Slovenia

The EU and its Member States share responsibility for improving the living conditions and integration of the Roma into society. When developing systemic solutions to address the challenges of the Roma population, the first thing to do is to provide them with a suitable living environment. A suitable living environment for vulnerable social groups includes social housing adapted to their needs and preferences as part of the social infrastructure. In the first, theoretical part, this paper explores the existing international, EU, and Slovenian legal framework for addressing the housing needs of the Roma community. In the second, empirical part, the preferences of the members of the Roma Community regarding the type and architecture of housing, and their financial capacity regarding the type and location of accommodation are examined through a survey that was conducted in the Roma settlement “Kerinov Grm”. The research paper gives answers to the following research questions: (1) what are the preferences of the inhabitants of Roma settlements regarding the type of housing and architecture? (2) how to provide adequate housing for members of the Roma community? and (3) do the Roma take advantage of the available free non-profit housing, and if not, why? The survey shows a very low level of satisfaction with living in Roma settlements, which, in combination with the growing population, limited possibilities for settlement expansion, and specific housing preferences, poses a unique challenge to the state and local communities.

The Limitations and Challenges of the Reception for Immigrants and Refugees in the City of Dourados-MS

This work aims to present the limits and challenges for the reception and integration of immigrants in the city of Dourados, federative unit of Mato Grosso do Sul, Brazil, in the context of Operation Welcome and international migrations in the region. Through document analysis and national and international bibliographic survey, the socioeconomic data of the Municipality and the demands of immigrants in the area are presented, particularly the dynamics of infrastructure and education. It is concluded that the gaps in terms of Portuguese classes, reception infrastructure and bureaucratic procedures for school integration are still very evident challenges in this specific municipality in Brazil.