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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]

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]

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]

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]

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]

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]

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]

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 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.)

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.)

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]

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]

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]

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]

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.)

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 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.)

The study of criminal acts is a topic of great interest to society and with the increase of violence against women in the world makes working with this type of data an important subject, where it can be used to detect areas with high crime rates to help in decision making. This work uses open data sets available from government entities of Mexico City, where three sectors of interest were studied: economic, education, and transportation around the criminal investigation reports made by the government. For the processing and analysis of spatial data, QGIS was used with the help of open-source libraries, the 2D and 3D modelling was carried out to create heatmaps and detect hotspots. It was found that the Historic center of Mexico City is the most insecure and that the Cuauhtémoc district stands out as the most dangerous zone, for transport stations, the ones that had the most intersections with other stations are the ones that presented greater problems of gender violence, in the economic sector there was a high incidence in the limits of each district, contrary to the results obtained on the educational services. [ABSTRACT FROM AUTHOR]

Copyright of Przegląd Socjologii Jakościowej is the property of Redakcja Przegladu Socjologii Jakosciowej 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.)

Background: Differences in Sex Development (DSD) is a heterogeneous group of congenital alterations that affect inner and/or outer primary sex characters. Although these conditions do not represent a mortality risk, they can have a severe psycho-emotional impact if not appropriately managed. The genetic changes that can give rise to DSD are diverse, from chromosomal alterations to single base variants involved in the sexual development network. Epidemiological studies about DSD indicate a global frequency of 1:4500–5500, which can increase to 1:200–300, including isolated anatomical defects. To our knowledge, this study is the first to describe epidemiological and genetic features of DSD in a cohort of Mexican patients of a third-level care hospital. Methods: Descriptive and retrospective cross-sectional study that analyzed DSD patients from 2015 to 2021 attended a Paediatric Hospital from Mexico City. Results: One hundred one patients diagnosed with DSD were registered and grouped into different entities according to the Chicago consensus statement and the diagnosis defined by the multidisciplinary group. Of the total, 54% of them belong to the chromosomal DSD classification, 16% belongs to 46, XX and 30% of them belongs to the 46, XY classification. Conclusion: The frequency for chromosomal DSDs was consistent with the literature; however, we found that DSD 46, XY is more frequent in our cohort, which may be due to the age of the patients captured, the characteristics of our study population, or other causes that depend on the sample size. [ABSTRACT FROM AUTHOR]

Bursera fagaroides, popularly used in México, possesses bioactive lignans. These compounds are low in the bark, and its extraction endangers the life of the trees. The aim of the present investigation was to search for alternative sources of cytotoxic compounds in B. fagaroides prepared as leaves and in vitro callus cultures. The friable callus of B. fagaroides was established using a combination of plant growth regulators: 4 mgL−1 of 2,4-dichlorophenoxyacetic acid (2,4-D), 1 mgL−1 Naphthaleneacetic Acid (NAA) and 1 mgL−1 Zeatin. The maximum cell growth was at day 28 with a specific growth rate of μ = 0.059 days−1 and duplication time td = 11.8 days. HPLC quantification of the dichloromethane callus biomass extract showed that Scopoletin, with a concentration of 10.7 µg g−1 dry weight, was the main compound inducible as a phytoalexin by the addition of high concentrations of 2,4-D, as well as by the absence of nutrients in the culture medium. In this same extract, the compounds γ-sitosterol and stigmasterol were also identified by GC-MS analysis. Open column chromatography was used to separate and identify yatein, acetyl podophyllotoxin and 7′,8′-dehydropodophyllotoxin in the leaves of the wild plant. Cytotoxic activity on four cancer cell lines was tested, with PC-3 prostate carcinoma (IC50 of 12.6 ± 4.6 µgmL−1) being the most sensitive to the wild-type plant extract and HeLa cervical carcinoma (IC50 of 72 ± 5 µgmL−1) being the most sensitive to the callus culture extract. [ABSTRACT FROM AUTHOR]

Background: Refractive errors, including myopia, hyperopia, and astigmatism, are the leading causes of visual impairment in school-aged children and can significantly impact their academic performance and quality of life. This study aimed to assess the prevalence of refractive errors among school children from economically disadvantaged areas in Northwest México, using a consistent methodology to facilitate comparison with global data. Methods: We adopted the Refractive Error Study in Children (RESC) protocol by the World Health Organization to examine the prevalence of myopia, hyperopia, and astigmatism. The study comprised a systematic sampling of children aged 6 to 18 years from diverse schools in Northwest México. Trained optometrists conducted visual acuity testing and autorefraction, while ophthalmologists performed cycloplegic refraction to ensure accuracy. Results: The study found a myopia (SE ≤−1.50 D at least one eye) prevalence of 14.55% (95% CI: 13.27–15.91), with a higher incidence in females (6.92%) compared to males (6.00%) in at least one eye. Hyperopia (SE ≥ +1.00 D at least one eye) was less common, at 3.23% (95% CI: 2.61–3.95), with a slightly higher occurrence in males in at least one eye. Astigmatism (Cylinder ≥ 0.75 D at least one eye) was present in 18.63% (95% CI: 17.21–20.12) of the students in at least one eye, with no significant difference between genders. These findings are consistent with other studies in regions such as Puerto Rico and Iran, indicating widespread refractive error issues among schoolchildren. Conclusions: The high prevalence of refractive errors, particularly myopia and astigmatism, highlights the critical need for regular vision screenings in schools and the implementation of public health interventions to provide corrective eyewear. Our study confirms the importance of utilizing standardized methodologies like the RESC protocol to compare refractive error prevalence across different geographical and socio-economic contexts, thereby informing global public health strategies. [ABSTRACT FROM AUTHOR]

Over time, predictive models tend to become more accurate but also more complex, thus achieving better predictive accuracy. When the data is improved by increasing its quantity and availability, the models are also better, which implies that the data must be processed to filter and adapt it for initial analysis and then modeling. This work aims to apply the Random Forest model to predict PM10 particles. For this purpose, data were obtained from environmental monitoring stations in Mexico City, which operates 29 stations of which 12 belong to the State of Mexico. The pollutants analyzed were CO carbon monoxide, NO nitrogen oxide, and PM10 particulate matter equal to or less than 10 µg.m-3, NOx nitrogen oxide, NO2 nitrogen dioxide, SO2 sulfur dioxide, O3 ozone, and PM2.5 particulate matter equal to or less than 2.5 µg.m-3. The result was that when calculating the certainty of our model, we have a value of 80.40% when calculating the deviation from the mean, using 15 reference variables. [ABSTRACT FROM AUTHOR]

Introduction: Non-consented care, a form of obstetric violence involving the lack of informed consent for procedures, is a common but little-understood phenomenon in the global public health arena. The aim of this secondary analysis was to measure the prevalence and assess change over time of non-consented care during childbirth in Mexico in 2016 and 2021, as well as to examine the association of sociodemographic, pregnancy-, and childbirth-factors with this type of violence. Methods: We measured the prevalence of non-consented care and three of its variations, forced sterilization or contraception, forced cesarean section, and forced consent on paperwork, during childbirth in Mexico for 2016 (N = 24,036) and 2021 (N = 19,322) using data from Mexico's cross-sectional National Survey on the Dynamics of Household Relationships (ENDIREH). Weighted data were stratified by geographical regions. We performed adjusted logistic regression analyses to explore associations. Results: The national prevalence of non-consented care and one of its variations, pressure to get a contraceptive method, increased from 2016 to 2021. A decrease in the prevalence was observed for forced contraception or sterilization without knowledge, forcing women to sign paperwork, and non-consented cesarean sections nationally and in most regions. Women between the ages of 26 and 35 years, married, cohabiting with partner, living in urban settings, who do not identify as Indigenous, and who received prenatal services or gave birth at the Mexican Institute of Social Security (IMSS) facilities experienced a higher prevalence of non-consented care. Being 26 years of age and older, living in a rural setting, experiencing stillbirths in the last five years, having a vaginal delivery, receiving prenatal services at IMSS, or delivering at a private facility were significantly associated with higher odds of reporting non-consented care. Conclusion: While a decrease in most of the variations of non-consented care was found, the overall prevalence of non-consented care and, in one of its variations, pressure to get contraceptives, increased at a national and regional level. Our findings suggest the need to enforce current laws and strengthen health systems, paying special attention to the geographical regions and populations that have experienced higher reported cases of this structural problem. [ABSTRACT FROM AUTHOR]

Globally, there is growing concern over the presence of lead (Pb) in foods because it is a heavy metal with several toxic effects on human health. However, monitoring studies have not been conducted in Mexico. In this study, we estimated the concentrations of Pb in the most consumed foods and identified those that exceeded the maximum limits (MLs) for Pb in foods established by the International Standards. Based on the Mexican National Health and Nutrition Survey, 103 foods and beverages were selected and purchased in Mexico City retail stores and markets. Samples were analyzed twice using atomic absorption spectrophotometry. Values above the limit of quantification (0.0025 mg/kg) were considered to be detected. The percentage of detected values was 18%. The highest concentration was found in infant rice cereal (1.005 mg/kg), whole wheat bread (0.447 mg/kg), pre-cooked rice (0.276 mg/kg), black pepper (0.239 mg/kg), and turmeric (0.176 mg/kg). Among the foods with detected Pb, the levels in infant rice cereal, whole wheat bread, pre-cooked rice, and soy infant formula exceeded the MLs. The food groups with the highest percentages of exceeded MLs were baby foods (18%) and cereals (11%). Monitoring the concentration of contaminants in foods is essential for implementing food safety policies and protecting consumer health. [ABSTRACT FROM AUTHOR]

Most of the available knowledge in the literature on Mexican fishes and their parasites refers to information within political divisions and/or hydrological basins in the country. Indeed, only a few studies have analyzed the helminth fauna of these vertebrates as a biological group distributed nation‐wide. This lack of available knowledge prevents the study of several basic and applied aspects involving fish–parasite interactions at different spatial and temporal scales. In this dataset, we compiled all the available geographic information on fish–helminth parasite interactions involving native and exotic fish species recorded in continental waters throughout the Mexican territory. After an exhaustive filtering and the curation of information, our data set contains 5999 records of 361 freshwater fish species (roughly 70% of known freshwater fish species occurring in Mexico) and 483 endo‐ and ectoparasitic helminths collected over an 85‐year period (from 1936–2021) in 1070 localities distributed throughout Mexico. These records are mainly concentrated in only a few states located to the south and east of the country; although all states have been sampled and all major basins in Mexico are represented. The fish order with the highest number of records was Perciformes (n = 2325, 38.75%) while the fish family with the highest number of records was Cichlidae (n = 1741, 29.02%). Native species of fishes corresponded to 92.14% of the records (n = 5528) and fish‐associated parasites were found in 41 habitat types in/on their host bodies. Regarding fish parasites, we found that most of the records are from the phylum Platyhelminthes (n = 4495, 74.92%). At the class level, we observed that Trematoda reached the highest number of records (n = 2965, 49.42%). Moreover, we found that Diplostomidae (n = 917, 15.25%) were the family of trematodes with the highest number of records. Most parasites were registered in their adult stage (n = 3730, 62.17%), followed by larval stages (n = 2267, 37.78%). We hope that the fish–parasite interactions data set will encourage researchers worldwide to explore different ecological and coevolutionary aspects of fishes and their helminth parasites, as well as provide useful information for the better implementation of conservation initiatives. There are no copyright restrictions; please cite this data paper when using its data in publications or teaching events. [ABSTRACT FROM AUTHOR]

This paper analyzes Mexico's export activity from 1995 to 2020. It applies an augmented gravity model to test how economic size, the distance between countries, endowment factors differences, cultural closeness, and commercial rapprochement have affected Mexico's exports to other countries. The results suggest that Mexico's trading partners' economic size and distance largely explain Mexico's exports to the United States, Canada, China, Germany, Spain, Japan, and Brazil. However, differences in endowment factors, cultural closeness, and commercial rapprochement reasonably influenced Mexico's exports. [ABSTRACT FROM AUTHOR]

This paper presents an approach to the political experience of the Otomí communityi living in Mexico City and its councillor Maricela Mejíaii, in their struggle for the right to housing, education, health and work. They have been making these demands for more than twenty years to cover basic needs, but they have been denied because of the marginalised and excluded conditions in which they live in the urban context. The aim of this text is to show the struggle of the Otomí community as a collective subject can be understood as a defence of the territory, as a space that symbolises the cultural continuity, identity and political action of the original peoples. This text focuses on the seizure of the National Institute of Indigenous Peoples (INPI) by the Otomí community on 12 October 2020. The INPI, as a government institution, has its antecedent in the Instituto Nacional Indigenista (INI) iii, which took the reins of Mexican welfarism, promoting plans and projects focused on the improvement of "indigenous" communities, with development ideas. The political participation of Otomi women in the takeover of the Institute has been fundamental, as they are the ones who have the spoken up in front of government representatives, a situation in which women demand and play a leading role as interlocutors. In addition to proposing alternative forms of organization and resistance, based on accompaniment, listening and exchange with women from other indigenous peoples and other organizations in struggle. This text recovers some of my experiences of my approach to this movement of struggle and accompaniment of the Otomí community in the takeover of the INPI. It also recovers the words and some experiences of the Otomí women's communication commission for the representation of their word and voice before the representatives of the Mexican government. [ABSTRACT FROM AUTHOR]

Psoriasis has been related to metabolic dysfunction-associated fatty liver disease and, liver fibrosis. This study aimed to evaluate the prevalence of liver fibrosis in psoriasis and identify predictors for fibrosis. This is a cross-sectional study conducted from December 2012 to June 2016 assessing psoriasis and psoriatic arthritis patients attended at four centers in Mexico City. Data regarding history of the skin disease, previous and current medication, and previously diagnosed liver disease was collected. Liver fibrosis was assessed with four different non-invasive methods (FIB4, APRI, NAFLD score and elastography). We compared data based on the presence of fibrosis. Adjusted-logistic regression models were performed to estimate OR and 95% CI. A total of 160 patients were included. The prevalence of significant fibrosis using elastography was 25% (n = 40), and 7.5% (n = 12) for advanced fibrosis. Patients with fibrosis had higher prevalence of obesity (60% vs 30.8%, P = 0.04), type 2 diabetes (40% vs 27.5%, P = 0.003), gamma-glutamyl transpeptidase levels (70.8±84.4 vs. 40.1±39.2, P = 0.002), and lower platelets (210.7±58.9 vs. 242.8±49.7, P = 0.0009). Multivariate analysis showed that body mass index (OR1.11, 95%CI 1.02–1.21), type 2 diabetes (OR 3.44, 95%CI 1.2–9.88), and gamma-glutamyl transpeptidase (OR 1.01, 95%CI1-1.02) were associated with the presence of fibrosis. The use of methotrexate was not associated. Patients with psoriasis are at higher risk of fibrosis. Metabolic dysfunction, rather than solely the use of hepatotoxic drugs, likely plays a major role; it may be beneficial to consider elastography regardless of the treatment used. Metabolic factors should be assessed, and lifestyle modification should be encouraged. [ABSTRACT FROM AUTHOR]

Alegoría de la construcción and Alegoría del trabajo were the first mural paintings commissioned to Saturnino Herrán (1887–1918), and they occupied a significant place in one of the most important schools in Mexico. The non-invasive methodology employed included different documentation phases and in situ multi-technique analyses. Hyperspectral imaging and digital radiography were used for a general characterization of the materials and were complemented with localized analyses by portable microscopy, and XRF and FORS spectroscopies. A complete identification of the original and the restoration palettes was achieved. Results from this work allowed us to understand the production context, painting technique, and conservation state, thus providing insights for the proper conservation of these murals, while also unveiling a new perception of the artist and his historical place among the muralist movement. [ABSTRACT FROM AUTHOR]

Leptospirosis is a neglected zoonotic disease that commonly affects cattle, pigs, horses, and dogs in many countries. Infection in dogs is usually subclinical, but acute cases of leptospirosis may occur along with systemic failure, which may become fatal. After recovery from an acute infection, dogs may become asymptomatic carriers and shed pathogenic leptospires through urine for long periods of time. Here, a study of ten different cases of leptospirosis is presented, showing the relevance of dogs as asymptomatic carriers of pathogenic Leptospira. The diagnosis was confirmed via isolation and further serological and genetic identification. Four Leptospira isolates (LOCaS28, 31, 34, and 46) were obtained from the kidneys and urine samples of 58 dogs destined for destruction (6.89%) at a Canine Control Center in Mexico City. No spirochetes were observed in the urine samples of those Leptospira-positive dogs examined under dark-field microscopy, and no clinical signs of disease were observed either. Six additional isolates were obtained: two came from asymptomatic carrier dogs (CEL60 and UADY22); another isolate came from an asymptomatic dog that was a pack companion of a clinically ill dog with fatal leptospirosis (AGFA24); and finally, three isolates were taken from dogs that died of leptospirosis (LOCaS59, Citlalli, and Nayar1). Nine out of the ten isolates were identified as being from the serogroup Canicola via cross-absorption MAT using reference strains and specific antisera, and their identity was genetically confirmed as Canicola ST34 via multi-locus sequencing typing (MLST). In contrast, the isolate Nayar1 was identified as serovar Copenhageni ST2. Interestingly, the asymptomatic dogs from which Leptospira isolates were recovered consistently showed high antibody titers in the microscopic agglutination test (MAT), revealing values of at least 1:3200 against serogroup Canicola and lower titer values against other serogroups. Isolates showed different virulence levels in the hamster model. Taken as a whole, all these findings confirmed that dogs may act as asymptomatic carriers of pathogenic leptospires and possibly spread them out to the environment, thus representing an active public health risk. The results also showed that the Canicola ST34 clone is the most prevalent Leptospira serovar in dogs in Mexico, and finally that the old-fashioned MAT is a good alternative for the detection of presumptive Leptospira asymptomatic carrier dogs. [ABSTRACT FROM AUTHOR]

This article analyses new tendencies in the construction of Chinese spaces within Mexico City. Traditionally, the Barrio de Dolores (Cuahutemoc borough) is identified as the main Chinese point of reference; however, over time it has become a space dedicated more to exploiting the so-called Chinatown brand for commercial purposes than to fostering a sense of community. Based on a recent pilot study, it is argued that in the Viaducto Piedad neighbourhood (Iztacalco borough), where Chinese immigrants have been arriving since the early 1990s, a different pattern of urban integration has emerged. Members of the community live in the area, where they carry out religious and recreational activities; some of them are business owners or employees, and their children attend local schools. That is why the area can be considered Mexico City's new Chinatown. [ABSTRACT FROM AUTHOR]

In México, the utilization of fast-growing plant species for biomass production presents transportation-related issues such as freshness reduction, the transportation of large volumes with minimal weight due to low density, limited storage availability, and logistical challenges. To enhance understanding in this field, the research aimed to evaluate the densification potential of a variety of organic materials, with a specific emphasis on the biomass derived from eight species of rapidly growing plants, three animal species' manure, and concentrated feed. After conditioning, 100 g samples underwent particle size analysis and were categorized into seven sizes. Pellets and briquettes (40 g, 10% moisture, 15 MPa pressure, 5 min processing, 80 °C temperature) were produced and evaluated for bulk density (BD) and pellet (PD) and briquette durability (BDU). The predominant particle sizes were 0.850 mm and 0.425 mm. Original biomass bulk density (OBBD) varied notably, with ovine manure (0.50 g cm−3) and cattle feed (0.49 g cm−3) exhibiting the highest values. Caprine manure (0.83 g cm−3) and ovine manure (0.78 g cm−3) yielded the densest pellets at 1.76 and 1.84 g cm−3, respectively. Apple tree pellets achieved premium quality with the highest hardness (97.9%). Cattle manure (1.25 g cm−3) and cattle feed (1.25 g cm−3) had the densest briquettes, with notable BBD/OBBD ratios in pine sawdust (4.6) and corn (4.5). Caprine manure and Acacia biomass briquettes showed premium quality with the highest hardness (99.1%), emphasizing densification variations and the need for tailored approaches based on organic material characteristics. [ABSTRACT FROM AUTHOR]

Objective: To measure dietary and urinary changes in sodium (Na) intake and excretion through the implementation of family gardens with aromatic herbs and workshops for cooking, using the herbs as a substitute for salt and seasoning powder. Methods: Thirty-five participants from a neighborhood of Mexico City were included. A general questionnaire was administered to collect information on sociodemographic factors. At baseline and 3 months later, a dietary evaluation was conducted, and 24-hour urine samples were collected. Food items reported were classified according to the NOVA classification. Visits to participants´ houses were conducted to measure the amount of salt and seasoning powder added to food during the preparation of meals as well as a home food inventory. All participants were given a family garden with 6 aromatic herbs and a recipe book. The intervention included 7 cooking and 3 garden care workshops. Qualitative information on the experience was also collected. Linear regression models were run in order to estimate the contribution of each NOVA group, salt, and seasoning powder to total dietary Na intake. Results: Participants were 44 years old on average and were mainly women (91.4%). The participation compliance in the workshops was 69.5%. After 3 months, there was a Na intake mean reduction of 976 mg. There was also a reduction in the excreted urinary Na of 325 mg per day. Conclusion: A positive level of involvement in this program had a direct influence on dietary habits to lower Na consumption. [ABSTRACT FROM AUTHOR]