Perfil epidemiológico y características clínicas de la escleritis en una población del noreste de México

YOLANDA MACIAS RODRIGUEZ (2022, [Artículo])

La epiescleritis (ESC) y escleritis (SC) son enfermedades que se caracterizan por causar inflamación de la capa externa fibrosa del globo ocular, la esclera y epiesclera. Estos padecimientos fueron descritos desde el siglo XIX y el Dr. Watson proporcionó la clasificación clínica que se usa para ordenarlas en sus diferentes subtipos. La etiología de las ESC y SC puede ser idiopática o asociada a causas específicas, como enfermedades autoinmunes, traumatismos, cirugías o infecciones. En diversas poblaciones del mundo se han reportado previamente las características de las ESC y SC. Sin embargo, en la población mexicana solo existen reportes de casos de presentaciones inusuales de ESC y SC y una sola serie reportando las características de la SC. Por lo anterior, se decidió llevar a cabo el presente estudio para expandir el conocimiento acerca de las características de la ESC y SC en la población mexicana. Se realizó un estudio retrospectivo y observacional. El diseño metodológico corresponde a una serie de casos. Se incluyeron pacientes con diagnóstico de ESC y SC, que hubieran firmado el consentimiento informado para participación en investigación clínica. Se analizaron los expedientes físicos y electrónicos de los pacientes que cumplieran con los criterios de inclusión, se tomó la información correspondiente a las variables previamente establecidas y se vació en una hoja de Microsoft Excel y posteriormente se analizaron estadísticamente con el programa SPSS (IBM). Se encontraron y analizaron 55 casos de ESC y 130 casos de SC. En ambos grupos hubo una predominancia del sexo femenino y la edad media fue mayor en pacientes con SC que en ESC (52.26 vs. 44.78 años). El tipo más común de ESC fue la simple y en SC la anterior difusa. La SC posterior fue el subtipo menos frecuente. La etiología más frecuente en ESC y SC fue la idiopática, y la segunda en frecuencia fue la espondiloartropatía asociada al haplotipo HLA B27 y la artritis reumatoide respectivamente. Los motivos de consulta más frecuente fueron ojo rojo solamente y ojo rojo doloroso. Los síntomas más comúnmente descritos por los pacientes con ESC y SC fueron ojo rojo, sensación de cuerpo extraño, dolor, lagrimeo y visión borrosa. Asimismo, los datos clínicos más comúnmente encontrados en pacientes con ESC y SC fueron la ingurgitción de los plexos conjuntivales y epiesclerales, queratopatía punteada superficial y queratitis ulcerativa periférica. La agudeza visual promedio fue buena tanto en ESC como en SC, siendo de 20/25 y 20/30 respectivamente. Para el análisis de tratamiento y recurrencias, se consideraron a los pacientes con un seguimiento mayor a una consulta, consistiendo estos últimos en 35 ESC y 108 SC. En la ESC, 91.4% de los pacientes fueron tratados con un AINE oral, 57.1% con esteroide tópico y 5.7% con AINE tópico. En SC, 76.9% usaron un AINE oral, 62% un esteroide oral, 50% un esteroide tópico y 52.7% un agente imnunosupresor. 29.6% de los pacientes con SC tuvieron una recurrencia. Al comparar la presente serie con las series de ESC y SC reportadas previamente en la literatura se encontró una considerable cantidad de similitudes, como la predominancia del sexo femenino, la media de edad, la incidencia estimada, los síntomas y signos, el tratamiento empleado y la cantidad de recurrencias y su asociación a una edad menor. Debido a todos lo anterior, se concluyó que la presentación de las ESC y SC en la población mexicana es similar a la presentación en otras poblaciones del mundo, previamente reportadas.

Especialidad en Oftalmología

MEDICINA Y CIENCIAS DE LA SALUD CIENCIAS MÉDICAS CIENCIAS CLÍNICAS OFTALMOLOGÍA

Sen4Rust: sentinel satellites for wheat rust disease forecasting

Gerald Blasch (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MONITORING SATELLITE OBSERVATION RUSTS FORECASTING

Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank

Muhammad Massub Tehseen Fatma Aykut Tonk Ahmed Amri Carolina Sansaloni Ezgi Kurtulus Muhammad Salman Mubarik Kumarse Nazari (2022, [Artículo])

Wheat Landraces Genetic Diversity SNP Markers Analysis of Molecular Variance AMOVA CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING DISCRIMINANT ANALYSIS GENETIC VARIATION GENETIC DISTANCE GENETIC IMPROVEMENT GENETIC MARKERS HEXAPLOIDY LANDRACES POPULATION STRUCTURE SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM WHEAT

Phenotyping with satellites

Urs Schulthess Gerald Blasch Francisco Pinto Mainassara Zaman-Allah (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SATELLITE OBSERVATION PHENOTYPING SATELLITE IMAGERY MONITORING

Adaptation to current and future climatic risks in agriculture: Maharashtra, India

Paresh Shirsath Anil Pimpale Pramod Aggarwal (2022, [Libro])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RISK CLIMATE RESILIENCE AGRICULTURE CLIMATE CHANGE ADAPTATION

Offshore wind energy climate projection using UPSCALE climate data under the RCP8.5 emission scenario

MARKUS SEBASTIAN GROSS (2016, [Artículo])

In previous work, the authors demonstrated how data from climate simulations can be utilized to estimate regional wind power densities. In particular, it was shown that the quality of wind power densities, estimated from the UPSCALE global dataset in offshore regions of Mexico, compared well with regional high resolution studies. Additionally, a link between surface temperature and moist air density in the estimates was presented. UPSCALE is an acronym for UK on PRACE (the Partnership for Advanced Computing in Europe)-weather-resolving Simulations of Climate for globAL Environmental risk. The UPSCALE experiment was performed in 2012 by NCAS (National Centre for Atmospheric Science)- Climate, at the University of Reading and the UK Met Office Hadley Centre. The study included a 25.6-year, five-member ensemble simulation of the HadGEM3 global atmosphere, at 25km resolution for present climate conditions. The initial conditions for the ensemble runs were taken from consecutive days of a test configuration. In the present paper, the emphasis is placed on the single climate run for a potential future climate scenario in the UPSCALE experiment dataset, using the Representation Concentrations Pathways (RCP) 8.5 climate change scenario. Firstly, some tests were performed to ensure that the results using only one instantiation of the current climate dataset are as robust as possible within the constraints of the available data. In order to achieve this, an artificial time series over a longer sampling period was created. Then, it was shown that these longer time series provided almost the same results than the short ones, thus leading to the argument that the short time series is sufficient to capture the climate. Finally, with the confidence that one instantiation is sufficient, the future climate dataset was analysed to provide, for the first time, a projection of future changes in wind power resources using the UPSCALE dataset. It is hoped that this, in turn, will provide some guidance for wind power developers and policy makers to prepare and adapt for climate change impacts on wind energy production. Although offshore locations around Mexico were used as a case study, the dataset is global and hence the methodology presented can be readily applied at any desired location. © Copyright 2016 Gross, Magar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reprod

atmosphere, climate change, Europe, Mexico, sampling, time series analysis, university, weather, wind power, climate, risk, theoretical model, wind, Climate, Models, Theoretical, Risk, Wind CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA

Digital artifacts reveal development and diffusion of climate research

Bia Carneiro Tek Sapkota (2022, [Artículo])

Accessible Knowledge Impact of Outputs Traditional Bibliometric Analyses Hyperlink Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE DIFFUSION MAIZE MINING ORGANIZATION SOCIAL MEDIA SOCIAL NETWORK ANALYSIS WHEAT TEXT MINING

Risk aversion, impatience, and adoption of conservation agriculture practices among smallholders in Zambia

Hambulo Ngoma João Vasco Silva Frédéric Baudron Isaiah Nyagumbo Christian Thierfelder (2024, [Artículo])

Sustainable agricultural practices such as conservation agriculture have been promoted in southern Africa for nearly three decades, but their adoption remains low. It is of policy interest to unpack behavioural drivers of adoption to understand why adoption remains lower than anticipated. This paper assesses the effects of risk aversion and impatience on the extent and intensity of the adoption of conservation agriculture using panel data collected from 646 households in 2021 and 2022 in Zambia. We find that 12% and 18% of the smallholders were impatient and risk averse, respectively. There are two main empirical findings based on panel data Probit and Tobit models. First, on the extensive margin, being impatient is correlated with a decreased likelihood of adopting combined minimum-tillage (MT) and rotation by 2.9 percentage points and being risk averse is associated with a decreased propensity of adopting combined minimum tillage (MT) and mulching by 3.2 percentage points. Being risk averse is correlated with a decreased chance of adopting basins by 2.8 percentage points. Second, on the intensive margin, impatience and risk aversion are significantly correlated with reduced adoption intensity of basins, ripping, minimum tillage (MT), and combined MT and rotation by 0.02–0.22 ha. These findings imply a need to embed risk management (e.g., through crop yield insurance) in the scaling of sustainable agricultural practices to incentivise adoption. This can help to nudge initial adoption and to protect farmers from yield penalties that are common in experimentation stages.

Risk and Time Preferences CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TECHNOLOGY ADOPTION RISK SUSTAINABLE INTENSIFICATION SMALLHOLDERS

Remote sensing of quality traits in cereal and arable production systems: A review

Zhenhai  Li xiuliang jin Gerald Blasch James Taylor (2024, [Artículo])

Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.

Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS

Modeling spatiotemporal patterns of land use/land cover change in Central Malawi using a neural network model

Leah Mungai Joseph Messina Leo Zulu Jiaguo Qi Sieglinde Snapp (2022, [Artículo])

Multilayer Perceptrons CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURE LAND USE POPULATION SATELLITE IMAGERY TEXTURE LAND COVER NEURAL NETWORKS REMOTE SENSING