Search

In this paper, we tackle the problem of forecasting future pandemics by training models with a COVID-19 time series. We tested this approach by producing one model and using it to forecast a non-trained time series; however, we limited this paper to the eight states with the highest population density in Mexico. We propose a generalized pandemic forecasting framework that transforms the time series into a dataset via three different transformations using random forest and backward transformations. Additionally, we tested the impact of the horizon and dataset window sizes for the training phase. A Wilcoxon test showed that the best transformation technique statistically outperformed the other two transformations with 100% certainty. The best transformation included the accumulated efforts of the other two plus a normalization that helped rescale the non-trained time series, improving the sMAPE from the value of 25.48 attained for the second-best transformation to 13.53. The figures in the experimentation section show promising results regarding the possibility of forecasting the early stages of future pandemics with trained data from the COVID-19 time series. [ABSTRACT FROM AUTHOR]

Women in Mexico are subject to unusually high and traumatic levels of violence. This paper reviews a workshop process done in Mexico City that addressed the problem of violence against women using the Anticipatory Experimentation methodology. Based on a workshop at Centro University in Mexico City on the eve of historic protests against violence against women, the paper provides an overview of contemporary challenges, historical changes, as well as deep mythological images and assumptions within Mexican society that are pathways to reconceptualization. Leveraging emerging issues and recovered narratives to address and reframe the problem, the paper concludes with the metaphor of the Chamana as the narrative seed from which new ideas and experiments might be developed to address violence against women in Mexico. [ABSTRACT FROM AUTHOR]

Future climate change is expected to increase the risk and severity of wildland fires in tropical regions. Synoptic-scale fire weather conditions in Mexico were carefully analyzed using 20 years of satellite hotspot and rainfall data, hourly weather data, and various climate data. Fire analysis results showed that eighty-four percent of all fires in Mexico occurred south of 22° N. Southwest Mexico (SWM, N < 22°, 94–106° W) and Southeast Mexico (SEM, N < 22°, 86–94° W), account for 50% and 34% of all fires in Mexico. Synoptic-scale analysis results using hourly data showed that westerly wind sea breezes from the Pacific Ocean blow toward the coastal land areas of the SWM while easterly wind sea breezes from the Caribbean blow into the SEM. The most sensitive weather parameters were "relative humidity" for the SWM and "temperature" for the SEM. The fire-related indices selected were "precipitable water vapor anomaly" for the SWM and "temperature anomaly" for the SEM. The SWM fire index suggests that future fires will depend on dryness, while the SEM fire index suggests that future fires will depend on temperature trends. I do hope that this paper will improve local fire forecasts and help analyze future fire trends under global warming in Mexico. [ABSTRACT FROM AUTHOR]

In this paper, four probability functions are compared with the purpose of establishing a methodology to improve the accuracy of wind energy estimations in a desert city in Northwestern Mexico. Three time series of wind speed data corresponding to 2017, 2018, and 2019 were used for statistical modeling. These series were recorded with a sonic anemometer at a sampling frequency of 10 Hz. Analyses based on these data were performed at different stationarity periods (5, 30, 60, and 600 s). The estimation of the parameters characterizing the probability density functions (PDFs) was carried out using different methods; the statistical models were evaluated by the coefficient of determination and Nash–Sutcliffe efficiency coefficient, and their accuracy was estimated by the measured quadratic error, mean square error, mean absolute error, and mean absolute percentage error. Weibull, using the energy pattern factor method, and Gamma, using the Method of Moments, were the probability density functions that best described the statistical behavior of wind speed and were better at estimating the generated energy. We conclude that the proposed methodology will increase the confidence of both wind speed estimation and the energy supplied by small-scale wind installations. [ABSTRACT FROM AUTHOR]

As global mobility surges, Mexico City has emerged as a favored destination for remote-working professionals due to its unique fusion of cultural allure and economic convenience. This paper explores the interplay between macroeconomic trends and quests for self-actualization among lifestyle migrants, informed by interviews and other fieldwork conducted in Mexico City in early 2023. It unravels the complex interplay of factors shaping attitudes, behaviors, and collective identity among these lifestyle migrants and how their conscious embeddedness dissolves as geographic arbitrage imbues them with new privileges. [ABSTRACT FROM AUTHOR]

Anticipating and planning for the urgent response to large-scale disasters is critical to increase the probability of survival at these events. These incidents present various challenges that complicate the response, such as unfavorable weather conditions, difficulties in accessing affected areas, and the geographical spread of the victims. Furthermore, local socioeconomic factors, such as inadequate prevention education, limited disaster resources, and insufficient coordination between public and private emergency services, can complicate these situations. In large-scale emergencies, multiple demand points (DPs) are generally observed, which requires efforts to coordinate the strategic allocation of human and material resources in different geographical areas. Therefore, the precise management of these resources based on the specific needs of each area becomes fundamental. To address these complexities, this paper proposes a methodology that models these scenarios as a multi-objective optimization problem, focusing on the location-allocation problem of resources in Mass Casualty Incidents (MCIs). The proposed case study is Mexico City in a earthquake post-disaster scenario, using voluntary geographic information, open government data, and historical data from the 19 September 2017 earthquake. It is assumed that the resources that require optimal location and allocation are ambulances, which focus on medical issues that affect the survival of victims. The designed solution involves the use of a metaheuristic optimization technique, along with a parameter tuning technique, to find configurations that perform at different instances of the problem, i.e., different hypothetical scenarios that can be used as a reference for future possible situations. Finally, the objective is to present the different solutions graphically, accompanied by relevant information to facilitate the decision-making process of the authorities responsible for the practical implementation of these solutions. [ABSTRACT FROM AUTHOR]

This paper tackles the challenge of time series forecasting in the presence of missing data. Traditional methods often struggle with such data, which leads to inaccurate predictions. We propose a novel framework that combines the strengths of Generative Adversarial Networks (GANs) and Bayesian inference. The framework utilizes a Conditional GAN (C-GAN) to realistically impute missing values in the time series data. Subsequently, Bayesian inference is employed to quantify the uncertainty associated with the forecasts due to the missing data. This combined approach improves the robustness and reliability of forecasting compared to traditional methods. The effectiveness of our proposed method is evaluated on a real-world dataset of air pollution data from Mexico City. The results demonstrate the framework's capability to handle missing data and achieve improved forecasting accuracy. [ABSTRACT FROM AUTHOR]

On 26 April 2017, Mexico formally adopted the 2030 Sustainable Development Agenda to link the national government to local governments, the private sector, civil society and academia. The restoration of heritage residential buildings (recovery programme) and the construction of new residential buildings aim to create a diversified environment for populations at different economic levels. However, the restoration programme faces conservation challenges. Given this context, this paper presents the results of in-depth, semi-structured interviews conducted with stakeholders in Mexico's heritage and energy sectors. The duration of each interview was approximately two hours, with 52,372 total interview words. The paper identifies prevailing opinions regarding prioritising historical values, energy efficiency, historic buildings and users concerning Mexico City's Historical Centre, a World Heritage Site needing a more appropriate sustainable development plan. Using grounded theory and thematic analysis, the interview data were analysed based on the interrelationship between thermal comfort, energy efficiency and heritage conservation changes over time. The results of this research will strengthen our understanding of the interventions and processes involved in managing and living in this World Heritage Site and its future impacts on buildings. The approach also underscores the importance of how stakeholders prioritise different values in making energy efficiency-promoting decisions and enhances awareness of the decision-making process and actions adopted by heritage building users. Thus, understanding the dynamic interrelationship between values, users and energy could improve the sustainable management of heritage sites and future development. [ABSTRACT FROM AUTHOR]

The article presents a study on a parameterization method to convert near-surface box averaged volume mixing ratios from Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) differential Slant Column Densities (dSCDs). The method was applied to nitrogen dioxide (NO2) MAX-DOAS dSCDs found at Mexico City Metropolitan Area in 2006. Moreover, a vertical 20 gradient in NO2 close to the ground was observed due to reduced mixing coupled with near surface emission.

The first European settlements in the new world faced technical issues with the help of the XVI century scientific advances. Besides briefly exposing the scientific and technological situation, this paper explores, with the help of reverse engineering, two singular mechanical wits representative of the technological advances introduced in America to overcome different problems. Firstly, a pump, based on an alternative movement system through crankshafts and pistons used against the continuous flooding suffered in the Ciudad de México valley. Although flooding remained a problem (it was solved in the XX century), hydraulic pumps were essential for continuous soil drainage. Secondly, a port crane for handling cannons, military devices, and construction materials during the Lima fortification in the XVII century. For both cases, reverse engineering, through engineering methods, Computer-Aided Design CAD programs, and additive manufacturing, provides virtual and/or tangible mockups that help to analyze and improve our knowledge about the dimensions, materials, and functions of used (and currently lost) mechanical systems during the American colonization. [ABSTRACT FROM AUTHOR]

This paper presents an analysis of the morphology and columnar microphysical properties of atmospheric aerosols in Mexico City (MC) for the period 2022–2023. The morphological study focused on the structure description of soot particles and tar balls (TB). By transmission electron microscope (TEM) and scanning electrode microscope (SEM), voluminous soot aggregates mixed with TBs were observed. The chemistry shows that both soot and TBs are mostly carbonaceous species with well-defined morphologies. On the other hand, the columnar aerosol microphysical properties recovered from AERONET show that the particles have a bimodal aerosol size distribution (ASD) with two modes: fine and coarse. The ASD remains constant without showing significant seasonal changes, only with some variability for coarse particles. The aerosol optical depth (AOD) value is significantly high, typical of urban areas. The real (n) and imaginary (k) parts of the complex refractive index (CRI) were obtained from the photometric measurements. The CRI values show seasonal variations, with spring being the season with the highest values for n, while the highest values for k were measured in winter. [ABSTRACT FROM AUTHOR]

The article presents a study of contradictory elements influencing the efficiency of water investment in Mexico City, Mexico. It explores how the multiple objectives of various actors in water projects are being balanced to reach integrated water management, with particular focus on the Santa Cararina Water Supply Project. Results suggest that the efficient and effective delivery of water projects are being constrained by multiple objectives of difference actors involved in the water project.

The article highlights the 14th Biennial Conference of the International Association for the Study of Popular Music that was held on June 25 to 29 2007 in Mexico City. The participants were very cooperative, which made for a convivial, friendly and egalitarian atmosphere, with plenty of chances to discuss a paper. An excellent series of evening events included a private viewing in the city's main gallery of an exhibition was included.

To understand urbanization across the Global South, it is indispensable to consider situated heterogeneous urban situations shaped by global and local forces and their intersections. In the case of Mexico, the political and economic desire for globalization has extended beyond the great metropolis of Mexico City to mid-size cities triggering the formulation of their own urban strategies to become global. This paper explores the connections between neoliberal public policy, globalization, urban modeling, and socio-territorial sustainability in the territorial binomial of the city of Puebla and the municipality of San Andrés Cholula in the period of 2011–2017 and its current consequences, addressed by the local planning route map, and informed by the Orange Economy-guide of the Inter-American Development Bank (IDB), using relevant bibliographical sources, mapping, interviews of stakeholders, and fieldwork. The ultimate purpose of the research project described herein is to provide a multi-dimensional analysis of the development of the territorial situation of the Puebla-San Andrés Cholula-urban binomial, and of its current and potential future consequences, offering supporting information for its urban planning. The research results exposed here reveal urban modeling processes informed by the Global North urban globalization theory, development of global cities in the Global South, local socio-territorial dynamics characterized by economic and political interests imprinted in the public policy, and socio-territorial patterns inherited from the colonial past, resulting in socio-economic and racial discrimination, population displacements, real estate speculation, and risking ecological and environmental sustainability. [ABSTRACT FROM AUTHOR]

This paper presents the results of a cross-sectional study on adolescents' behavioral and emotional reactions during and immediately after the 2017 Puebla earthquake that occurred in Mexico City. Convenience sampling was used to achieve a sample size of n = 362. Some of the key findings are as follows: a) some 57.0% of adolescent women and over 60.0% of men "ran out of the building" during the earthquake; only 17.4% of women and 14.2% of men took shelter. Early and late adolescent women were significantly associated with building "evacuation" immediately after the earthquake. b) Early and late adolescent men were "surprised" by the earthquake occurrence. c) The perceived vulnerability of the city (PVC) was significantly associated with men but not with women. d) Adolescents exhibited strong information-seeking behavior regarding seismic risk. The results of the study highlight a lack of adolescents' preparedness for earthquakes in terms of the protective actions taken during the ground shaking and knowledge of the functioning of the Mexican seismic alert system. An educational program aimed at better educating and preparing adolescents for a seismic emergency should be implemented in preparatory schools. [ABSTRACT FROM AUTHOR]

The aim of this paper is to present a performance-based method to estimate uniform risk spectra (URS) for the seismic design and assessment of structures. These spectra, computed with the proposed methodology, provide the lateral capacity (in terms of spectral acceleration) that should be given to a structure, characterized by a reference single degree of freedom system, to achieve a predetermined exceedance rate of economic loss. This procedure involves the seismic hazard assessment necessary to define a seismic design level consistent with the accepted loss value, using a large enough number of synthetic seismic records of several magnitudes, which were obtained by means of an improved empirical Green function method. The statistics of the expected losses of a reference single degree of freedom system are obtained using Monte Carlo simulation, considering the seismic demand and the lateral strength of the structure as random variables. The method is divided into two main stages: (1) definition of the seismic hazard at the site of interest and (2) the probabilistic analysis of the seismic performance in terms of an economical loss ratio of nonlinear SDOF. To illustrate the proposed methodology and, subsequently, to validate it, a URS was computed for a site located in the Mexico City lake-bed zone, and its use in the design of three reinforced concrete frames is shown. The results show that the proposed spectra provide a sufficient approximation between the seismic risk level considered in the seismic design and that of the designed structure. It is concluded that the proposed procedure is a significant improvement over others considered in the literature and a useful research tool for the further development of risk-based earthquake engineering. [ABSTRACT FROM AUTHOR]

Early identification of anomalies (such as leakages or sensor failures) in urban water distribution systems is critical to mitigating water scarcity in cities and is a challenge in water resource management. Several data-driven methods based on machine learning algorithms have been proposed in the literature for leakage detection in urban water distribution systems. Still, most of them are challenging to implement due to their complexity and requirements of vast amounts of reliable data for proper model generation. In addition, the required infrastructure and instrumentation to collect the data needed to train the models could be unaffordable. This paper presents the use and comparison of Autoregressive Integrated Moving Average models and Transfer Function models generated via the Box–Jenkins approach to modeling the water flow in water distribution systems for anomaly detection. The models were fit using water flow data from tanks operating in a branch of the water distribution system of Mexico City. The results showed that both methods helped select the best model type for each variable in the analyzed water branch, with Seasonal ARIMA models achieving a lower mean absolute percentage error than the fitted Transfer Function models. Furthermore, this methodology can be adjusted to different time windows to generate alerts at different rates and does not require a large sample size. The generated anomaly detection models could improve the efficiency of the water distribution system by detecting anomalies such as wrong measurements and water leakages. [ABSTRACT FROM AUTHOR]

In recent times, both research and feminist movements have made it clear that there is Sexual Harassment (SH) in Mexican universities and which causes terrible academic, social, and emotional consequences for the victims. This research aims to measure SH at Universidad Pedagógica Nacional (UPN), a public university localized in Mexico City. Specifically, in this paper we: a) determined levels of SH, b) compared the percentage of people who had suffered at least one SH behavior in different campuses, and c) analyzed the open comments shared by the students. The instrument was applied to 645 students from the different campuses between October 19 and November 24, 2021. It was found that, unfortunately, there are behaviors with all levels of violence in UPN. Students were the ones who carried out the largest number of behaviors, but teachers carried out some of the most violent. Significant differences were found in the levels of SH that occur in different campuses. We believe that this paper provides relevant information to design better strategies to combat this problem. [ABSTRACT FROM AUTHOR]

Copyright of Geopolitica(s): Revista de Estudios Sobre Espacio y Poder is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In most big cities, public transports are enclosed and crowded spaces. Therefore, they are considered as one of the most important triggers of COVID-19 spread. Most of the existing research related to the mobility of people and COVID-19 spread is focused on investigating highly frequented paths by analyzing data collected from mobile devices, which mainly refer to geo-positioning records. In contrast, this paper tackles the problem by studying mass mobility. The relations between daily mobility on public transport (subway or metro) in three big cities and mortality due to COVID-19 are investigated. Data collected for these purposes come from official sources, such as the web pages of the cities' local governments. To provide a systematic framework, we applied the IBM Foundational Methodology for Data Science to the epidemiological domain of this paper. Our analysis consists of moving averages with a moving window equal to seven days so as to avoid bias due to weekly tendencies. Among the main findings of this work are: a) New York City and Madrid show similar distribution on studied variables, which resemble a Gauss bell, in contrast to Mexico City, and b) Non-pharmaceutical interventions don't bring immediate results, and reductions to the number of deaths due to COVID are observed after a certain number of days. This paper yields partial evidence for assessing the effectiveness of public policies in mitigating the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Featured Application: To date, the 'values' associated with 'heritage buildings' have received little attention in designing technical interventions for energy efficiency. This may be due to a fear that modern interventions for improving energy performance clash with heritage conservation, especially conservation of original features. We argue that energy efficiency interventions and heritage conservation can co-exist if an in-depth understanding of people's heritage values and attitudes is obtained. This paper adds to our limited knowledge of residents' approaches to heritage conservation and energy efficiency. It does so by presenting the first study of its kind in Mexico's City Historic Centre (a World Heritage Site since 1987). The results reveal the type of heritage values that residents assigned to their buildings when seeking to achieve thermal comfort and energy efficiency in heritage buildings. With building construction representing one of the largest sectors responsible for the use of natural resources, retrofitting existing heritage buildings becomes a necessity, albeit a challenging one. The emergence of specific guidance on retrofitting heritage buildings has unveiled more than never the need to understand how residents negotiate, thermal comfort, energy efficiency, and heritage conservation decisions. The paper reports the complexity of the decision-making process of residents of heritage buildings in the Historic Centre of Mexico City regarding energy efficiency, intending to improve thermal comfort and reduce energy consumption while preserving heritage values. The study involved in-depth semi-structured interviews with users of heritage buildings that were thematically analysed, complemented by the monitoring of internal environmental conditions and system dynamics analysis. The results show that although the residents perceived the buildings' temperature as poor, passive thermal comfort actions (e.g., wearing more clothes and closing windows) were preferred against invasive retrofitting solutions for thermal comfort due to residents' resistance to a potential loss in the buildings' values and the high cost of changes. The degree of change necessary for maintenance, renovation, and actions for improving the thermal comfort of a heritage building is related to values and to their preservation for future generations. The users' changes were limited to small-scale interventions in floors and ceilings while avoiding touching what they consider essential to preserve and protect (i.e., social and cultural values). Integrating the user into the decision-making process would enhance the long-term continuity and sustainability of retrofitting policies and guidelines, thus avoiding losing heritage-built stock. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic has not only caused tremendous loss of life and health but has also greatly disrupted the world economy. The impact of this disruption has been especially harsh in urban settings of developing countries. We estimated the impact of the pandemic on the occurrence of food insecurity in a cohort of women living in Mexico City, and the socioeconomic characteristics associated with food insecurity severity. Methods: We analyzed data longitudinally from 685 women in the Mexico City-based ELEMENT cohort. Food insecurity at the household level was gathered using the Latin American and Caribbean Food Security Scale and measured in-person during 2015 to 2019 before the pandemic and by telephone during 2020–2021, in the midst of the pandemic. Fluctuations in the average of food insecurity as a function of calendar time were modeled using kernel-weighted local polynomial regression. Fixed and random-effects ordinal logistic regression models of food insecurity were fitted, with timing of data collection (pre-pandemic vs. during pandemic) as the main predictor. Results: Food insecurity (at any level) increased from 41.6% during the pre-pandemic period to 53.8% in the pandemic stage. This increase was higher in the combined severe-moderate food insecurity levels: from 1.6% pre-pandemic to 16.8% during the pandemic. The odds of severe food insecurity were 3.4 times higher during the pandemic relative to pre-pandemic levels (p<0.01). Socioeconomic status quintile (Q) was significantly related to food insecurity (Q2 OR = 0.35 p<0.1, Q3 OR = 0.48 p = 0.014, Q4 OR = 0.24 p<0.01, and Q5 OR = 0.17 p<0.01), as well as lack of access to social security (OR = 1.69, p = 0.01), and schooling (OR = 0.37, p<0.01). Conclusions: Food insecurity increased in Mexico City households in the ELEMENT cohort as a result of the COVID-19 pandemic. These results contribute to the body of evidence suggesting that governments should implement well-designed, focalized programs in the context of economic crisis such as the one caused by COVID-19 to prevent families from the expected adverse health and well-being consequences associated to food insecurity, especially for the most vulnerable. [ABSTRACT FROM AUTHOR]

Copyright of Economía Creativa is the property of Centro de Diseno y Comunicacion, S.C. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article presents a study that discusses the formation of simplified parameterization for secondary organic aerosol (SOA) in polluted air and biomass burning smoke. It states that the study uses a regional chemistry-transport model as the testbed for parameterization which is compared against the observations from the metropolitan area in Mexico City. Furthermore, the study aims to optimize a first order SOA parameterization for anthropogenic pollution.

While advances in participatory planning have led in many cases to the more inclusive rebuilding of informal settlements, the debate regarding participatory planning has focused largely on the improvement of current informal settlements without asking "what next". Declining living conditions following settlement consolidation, however, provide evidence of the potential shortfalls of temporary participatory approaches. Drawing on an ethnographic case study of a former informal settlement in Iztapalapa, Mexico City, this paper analyses the erosion of resident participation in neighbourhood development over 40 years. Comparisons between residents' accounts of neighbourhood formation, mostly in the 1980s, and contemporary experiences show a gradual decrease in resident engagement. The data collected in 2016–2017 highlight this diminishing local participation and suggest that the disappearance of earlier local practices of engagement is linked in various ways to the failure of formally supported practices of citizen participation. The paper shows what can be learnt from residents' memories of transforming informal settlements. [ABSTRACT FROM AUTHOR]

Recent technological advances have significantly impacted news media in the way they provide news to the public, evolving into a digital environment. Therefore, digital media today focuses on generating readers' loyalty to their news websites. In this sense, a multiple linear regression analysis was carried out on a sample of 344 surveys of adult residents in the cities of Mexico and Monterrey. The results show that factors such as familiarity, satisfaction and reputation are positively related to the loyalty of news website users. However, they also show that the importance of the impact of these factors is different when the analysis is carried out in a stratified manner, such as residence, gender or education, which allows us to conclude that digital media can guide their loyalty efforts depending on the profile of their readers and the market they seek to target. To illustrate focusing on stratification by place of residence, the most significant factors for the Mexico City group corresponded to familiarity and satisfaction, wile for the Monterrey group the most significant factors were reputation and familiarity in that order. Results with this type of differences between groups were also obtained when comparing by gender and schooling. It is recommended for future research on the subject, to include other cities within the country, with the purpose of contrasting these paper's findings. [ABSTRACT FROM AUTHOR]

Temporary appropriation (TA) is a re-emerging concept which occurs in the urban social landscape as a multidimensional phenomenon. Intended as multi-disciplinary and multi-scalar research, the present paper explores the way in which temporary appropriation could be interpreted as an assemblage product of other assemblages within the urban landscape. It, therefore, seeks to unravel and to re-think the nature of temporary appropriation through interconnected theoretical frameworks such as assemblage theory. Derived from the seminal work of Deleuze and Guattari (1989) and developed further by Manuel DeLanda (2016), assemblage theory focuses on the relations produced by the components of a whole rather than the components themselves. Thus, in the present paper, a diverse range of theories is combined together to conceptualise temporary appropriation as part of the urban landscape and as an emerging product of other assemblages such as culture, legal framework and urban design. These approaches are drawn together by illustrating Mexico City Centre as an example of a highly coded city in which these assemblages emerge. A representative sample street was selected as a case-study to analyse TA in relation to the streetscape design through participant observation and image analysis of the visual complexity of the streetscape. The paper concludes that assemblage theory could be used as a theoretical framework investigating urban-social phenomena. In addition, the study identified the visual complexity of the assemblage of the urban landscape that supports the greater diversity of TA. [ABSTRACT FROM AUTHOR]

Megacities expansion around the globe have significantly increased the demand for resources to the point of depleting available reservoirs and requiring importing resources from nearby locations sometimes implementing major infrastructure projects for guaranteeing access to resources. This is particularly true for one of the largest Megalopolis in the world, Mexico City, that imports 40% of its water supply from neighboring states. Despite of being a city holding important hydric resources, the lack of strategies, technological innovation, user-centered service design, consistent data acquiring, and optimization tools have led to a poor water management that maintains the metropolis with a constant scarcity of the resource. Therefore, the aim of the current paper is to present a conceptual service design for smart rainwater harvesting in urban settlements that provides an alternative source for citizens to reduce the local hydric stress, diminish aquifer overexploitation and increase water well recovery contributing to more sustainable cities. [ABSTRACT FROM AUTHOR]

The crime rates in Mexico have been increasing in recent years; every day, there are reports on social media and in the news where assaults and verbal aggression by criminals can be seen. Public transportation units suffer from violence that authorities have not been able to reduce despite their efforts. This is why we have developed a fuzzy logic model that can adapt to almost any scenario thanks to the dynamism that we have implemented in each of its stages. We have obtained promising results that we believe will be of great help to the authorities for detecting the exact moment in which verbal aggression that is typical of a violent assault is happening in real time. This is a tool to help the authorities, not a substitution; we are simply making use of the latest technologies that are available to us. The goal of this paper is to provide a novel method for Mexican authorities in Mexico City in order to help the actual surveillance systems make faster decisions about whether violent assaults are happening or not. [ABSTRACT FROM AUTHOR]

The article presents a study which uses 3-dimensional (3-D) factorization models in analyzing sizeresolved organic composition dataset collected in Mexico City. It provides an overview of the 3-D factorization models for datasets including aerosol size and composition information to determine sources of aerosol. It discusses the preparation of size-resolved aerosol composition measurements for factorization and then factoring the data using 3-D models with algorithms.

Hybrid simulation (HS) is an experimental technique possessing advantages over other testing methods and, in several cases, it is the only available method to test structural systems with reliability. In this paper, HS is used to assess the effects of upgrading a soft-storey frame building using a Buckling-Restrained Brace (BRB). This topic is of paramount significance in seismic regions like Mexico, where more than 40 structures collapsed and thousands resulted with different levels of damage during the September 19, 2017 Mw 7.1 Earthquake. Unfortunately, one of the still-remaining challenges in many seismic countries is the use of seismic protective technologies (SPT) that help to mitigate damages in structures. With the aim of encouraging the use of SPT, this paper presents the results of an experimental program that shows the effectivity of buckling-restrained braces (BRBs) to improve safety and reduce damages in structures with one of the most typical causes of failure, i.e. the soft storey problem. A reinforced concrete five-storey frame building was selected first. Then, a numerical 2D model of the structure was subjected to nonlinear dynamic analyses using several earthquake ground motions. In many analyses, collapse was observed in the structure model. After that, the model was upgraded by introducing a BRB in the soft storey. HS was used to assess the performance of the upgraded structure under severe earthquake action. While the frame building was modelled numerically, the BRB was tested physically. The tests were repeated using a conventional brace instead of the BRB. The results show that introducing the BRB in the soft storey was an effective measure to improve the structure performance under seismic loading; while the disadvantages of the conventional brace were exposed. [ABSTRACT FROM AUTHOR]

Drawing on the concept of a "complex humanitarian crisis," this paper describes how outflows of migrants from Central America were transformed into such a crisis by intransigent immigration and border policies enacted in both Mexico and the United States. We describe the origins of the migration in U.S. Cold War interventions that created many thousands of displaced people fleeing violence and economic degradation in the region, leading to a sustained process of undocumented migration to the United States. Owing to rising levels of gang violence and weather events associated with climate change, the number of people seeking to escape threats in Central America has multiplied and unauthorized migration through Mexico toward the United States has increased. However, the securitization of migration in both Mexico and the United States has blocked these migrants from exercising their right to petition for asylum, creating a growing backlog of migrants who are subject to human rights violations and predations both by criminals and government authorities, leading migrants to label Mexican routes northward as a "corridor of death." We draw on data from annual reports of Mexico's Red de Documentación de las Organizaciones Defensoras de Migrantes (Network for the Documentation of Migrant Defense Organizations) to construct a statistical profile of transit migrants and the threats they face as reported by humanitarian actors in Mexico. These reports allow us to better understand the practical realities of the "complex humanitarian crisis" facing undocumented migrants, both as unauthorized border crossers and as transit migrants moving between the southern frontiers of Mexico and the United States. Policy Recommendations Policy makers need to address: Governments must recognize that the humanitarian crisis facing migrants is not confined to border regions but unfolds at places of both origin and destination as well as within extended geographies of transit in-between. The current refugee protection regime and asylum system are ill-matched to the needs and vulnerabilities of today's migrants. In an era of rapid climate change, rising state failures, and escalating violence, people are not moving so much to advance economically as to escape a growing array of threats not covered by the 1951 Refugee Convention, which needs to be updated. Developed nations must honor rather than elide their obligations under international law to accept asylum applicants and fairly adjudicate their cases, Since a large fraction of the Central Americans arriving at the southern US border have relatives in the United States, creating a pathway to legal status for unauthorized US residents would relieve a lot of the pressure on the asylum system by enabling authorities to release applicants to the support and care of legally resident relatives rather than placing them in an overburdened detention system. Governments need to scale back the securitization and criminalization of migration, which have made human mobility an increasingly precarious and risk-filled activity that contributes to rather than forestalls the proliferation of crime and violence. Human rights and humanitarian agencies need to revisit their missions to derive new ways of working conjointly and in parallel with each other and with governments to better understand and meet the needs of migrants in the 21st century. [ABSTRACT FROM AUTHOR]

Ecological Niche Models (ENM) are tools used to predict suitability, based on climatic variables selected and occurrence data of the target species, and characterize the environmental space. Sawflies (Hymenoptera: Diprionidae) are one of the main factors threatening forest health in Mexico, with cyclical population outbreaks and a wide range of hosts. In the present paper, we calculate the climatic niche in Mexico of three diprionids, Neodiprion abietis (Harris), N. omosus Smith, and Zadiprion rohweri (Middleton); the first and the latter with recent records in Mexico, and N. omosus with presence in Mexico and Guatemala; contrasting them against the distribution records of host species in the country. The climatic suitability of N. abietis was high in the Sierra Madre Occidental where its hosts, Pinus ponderosa, P. strobiformis, and P. menziesii are distributed. For N. omosus, the environmental suitability was projected towards the Southern Altiplano, where it coincides with a small presence of its hosts P. leiophylla and P. ayacahuite; however, it was possible to calculate its coincidence with more hosts in other biogeographic provinces. Pinaceae species considered under threat, Abies concolor, P. monophylla, and P. strobiformis, have populations within the environmental suitability of the sawflies. [ABSTRACT FROM AUTHOR]

This paper addresses the importance of engineering asset management decisions and control. For this purpose, a Life-Cycle Cost (LCC) analysis is conducted for typical reinforced concrete (R/C) buildings located in Mexico City. The objective of this study is to develop an artificial neural network (ANN) model that can estimate the total expected cost of R/C buildings by using LCC functions. The total cost includes the initial cost and the cost of the damage caused by future possible ground motions at the site of interest. The present value of the cost includes: initial cost, repair or reconstruction cost, cost of damage to the contents, costs associated with the loss of life or injuries and economic losses. The structural performance is evaluated using probabilistic models, artificial neural networks models are used to obtain the seismic response of the buildings. The methodology is applied to a set of reinforced concrete buildings with 4, 8, and 12 stories which are located at the soft soil of Mexico City. Finally, it is concluded that the life-cycle cost is efficiently obtained using artificial neural network models for estimating the structural reliability of reinforced concrete buildings, in such a way that it can be used as an excellent planning tool that covers long spans of time. [ABSTRACT FROM AUTHOR]

Managers of urban water systems constantly make decisions to guarantee water services by overcoming problems related to supply–demand imbalances. A preferred strategy has been supply augmentation through hydraulic infrastructure development. However, despite considerable investments, many systems seem to be trapped in lacklustre development pathways making some problems seem like an enduring, almost stubborn, characteristic of the systems: overexploitation and pollution of water sources, distribution networks overwhelmed by leakages and non-revenue water, and unequal water insecurity. Because of these strategies and persistent problems, water conflicts have emerged, whereby social actors oppose these strategies and propose alternative technologies and strategies. This can create development pathway crossroads of the urban water system, defined as a critical point whereby actors in conflict will either reinforce the current business-as-usual pathway based on large supply augmentation or implement alternative solutions for the urban water system. To study this development pathway crossroads, we selected the Zapotillo conflict in Mexico where a large supply augmentation project for two cities experiencing water shortages is at stake. The paper concludes that urban water systems that are engaged in a trajectory characterized by supply-side strategies may experience a temporal relief but neglect equally pressing issues that stymie the human right to water in the medium and long run. However, there is not a straightforward, self-evident development pathway to choose from, only a range of multiple alternatives with multiple trade-offs that need to be thoroughly discussed and negotiated between the stakeholders. We argue that this development pathway crossroads can cross-fertilize contrasting disciplines such as socio-hydrology and critical studies on water because both can complement technical and socio-political analyses to make their knowledge actionable and relevant. [ABSTRACT FROM AUTHOR]

In this paper, we analyze a massive dataset with registers of the movement of vehicles in the bus rapid transit system Metrobús in Mexico City from February 2020 to April 2021. With these records and a division of the system into 214 geographical regions (segments), we characterize the vehicles' activity through the statistical analysis of speeds in each zone. We use the Kullback–Leibler distance to compare the movement of vehicles in each segment and its evolution. The results for the dynamics in different zones are represented as a network where nodes define segments of the system Metrobús and edges describe similarity in the activity of vehicles. Community detection algorithms in this network allow the identification of patterns considering different levels of similarity in the distribution of speeds providing a framework for unsupervised classification of the movement of vehicles. The methods developed in this research are general and can be implemented to describe the activity of different transportation systems with detailed records of the movement of users or vehicles. [ABSTRACT FROM AUTHOR]

The interest in changing social ties in urban neighbourhoods has generated sociological debate for decades. This paper contributes to this debate by focusing on the relationship between community and neighbourhood formation in the development of an informal settlement. While informal urbanisation is widely researched, the attention is usually placed on urban planning and development rather than a socio-spatial aspect. Drawing on an ethnographic case study, this paper analyses the transformation of agricultural land to urban settlement following residents’ self-organisation in Mexico City. The case study shows how social ties developed alongside collaboration between residents, highlighting a relationship between the social and spatial processes. Collaborative processes from small neighbour groups to broader neighbourhood-wide projects that contributed to the delivery of basic services and urban infrastructure also enabled the formation of community support networks. The findings highlight the intertwined nature of community and neighbourhood formation. [ABSTRACT FROM AUTHOR]

Copyright of Spanish Journal of Comparative Education / Revista Española de Educación Comparada is the property of Editorial UNED and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Canadian Geographer is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Salud Mental is the property of Instituto Nacional de Psiquiatria Ramon de la Fuente and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Canadian Journal of Economics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The control of vibrations and damage in traditional reinforced concrete (RC) buildings under earthquakes is a difficult task. It requires the use of innovative devices to enhance the seismic behavior of concrete buildings. In this paper, we design RC buildings with buckling restrained braces (BRBs) to achieve this objective. For this aim, three traditional RC framed structures with 3, 6, and 9 story levels are designed by using the well-known technique nondominated sorting genetic algorithm (NSGA-II) in order to reduce the cost and maximize the seismic performance. Then, equivalent RC buildings are designed but including buckling restrained braces. Both structural systems are subjected to several narrow-band ground motions recorded at soft soil sites of Mexico City scaled at different levels of intensities in terms of the spectral acceleration at first mode of vibration of the structure Sa(T1). Then, incremental dynamic analysis, seismic fragility, and structural reliability in terms of the maximum interstory drift are computed for all the buildings. For the three selected structures and the equivalent models with BRBs, it is concluded that the annual rate of exceedance is considerably reduced when BRBs are incorporated. For this reason, the structural reliability of the RC buildings with BRBs has a better behavior in comparison with the traditional reinforced concrete buildings. The use of BRBs is a good option to improve strength and seismic behavior and hence the structural reliability of RC buildings subjected to strong earthquake ground motions. [ABSTRACT FROM AUTHOR]

Copyright of Mexican Journal of Economics & Finance / Revista Mexicana de Economia y Finanzas is the property of Instituto Mexicano de Ejecutivos de Finanzas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Featured Application: Absorption and compression cooling systems fed by solar thermal energy. In this paper, an evaluation of the performance and operating parameters of a hybrid compression/absorption chiller coupled with a low-capacity solar concentrator is presented. The study was carried out using energy and mass balances applied to each component of each system. The variables evaluated in the hybrid chiller were the cooling power, the supply power, the Coefficient of Performance (COP) of both cooling systems and the ratio between heat and power. The diameter and temperature of the hot spot as well as the performance of the dish collector were evaluated. The changed parameters were the heat removed by each refrigeration system, the condenser temperature, the evaporator temperature, the concentration ratio and the irradiance. Results have shown that the compression system can produce up to 53% more cooling power than the heat supplied to the hybrid system. Meanwhile, the absorption system produces approximately 20% less cooling power than the supplied heat. It has also been found that, for the cooling power produced by the hybrid cooler to be always greater than the heat supplied, the cooling power provided by the absorption system should preferably be between 20% and 60% of the total, with a Stirling engine efficiency between 0.2 and 0.3 and a condensation temperature from 28 to 37 °C. Likewise, it has been found that the compression system can produce cooling power up to 3 times higher than the heat of the Stirling engine hot source, with Th = 200 °C and ηs = 0.3. Finally, it has been found that, in a low-capacity solar concentrator, on a typical day in Mexico City, temperatures in the hot spot between 200 and 400 °C can be reached with measured irradiance values from 200 to 1200 W/m2. [ABSTRACT FROM AUTHOR]

This paper explores the construction of quarantine narratives as they relate to the design of everyday public spaces and domestic artifacts in Mexico City. The interdisciplinary research studies the government-led health campaign and exposes pre-existing urban design problems further accentuated by the crisis. In parallel, the paper presents an online survey in which photographs and texts of domestic objects are analyzed alongside artistic exhibitions and events that uncover individual needs and aspirations. Finally, the paper identifies a set of collective and distributed values for Mexico City's New Normal to be materialized locally at the urban and product design scale and discusses the potential of narratives as a design tool. [ABSTRACT FROM AUTHOR]