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El arte de ser multifuncional: proteínas "workaholic"

ROSA ESTELA QUIROZ CASTAÑEDA JOSE HUGO AGUILAR DIAZ (2023, [Artículo])

La multifuncionalidad es una ventaja que la evolución le ha concedido sólo a algunas bacterias. Sí, la evolución, ese proceso que nos traído hasta donde estamos hoy y que nos seguirá empujando para prevalecer en los ambientes más hostiles de nuestro medio ambiente. ¿Y cómo es que la evolución ha sido tan benévola con algunos organismos? Las condiciones de vida no son las mismas para todos, hay situaciones en las que se requiere hacer un uso eficiente de la función de las proteínas con las que cuenta cada organismo. Es el caso de de las proteínas. Existen aquéllas que logran realizar más de una función a través de modificaciones que hacen de su propia estructura, pero otras, sin cambiar su estructura, pueden hacer más de una función. Esto resulta increíble como estrategia para muchas bacterias que, por azares de la evolución, han tenido que mantener un genoma pequeño. El genoma almacena toda la información para crear un organismo nuevo y realizar sus funciones biológicas básicas. Este genoma posee un código de cuatro letras llamadas bases, que se organizan en pares y crean millones de combinaciones que resultan en la diversidad biológica que conocemos.

BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA proteinas,

Modular ontology to support manufacturing SMEs toward industry 4.0

ZAIDA ANTONIETA MORA ALVAREZ OSCAR HERNANDEZ URIBE RAMON ALBERTO LUQUE MORALES LEONOR ADRIANA CARDENAS ROBLEDO (2023, [Artículo])

Industry 4.0 (I4.0) implementation is a hot topic among manufacturing organizations to reach smart factory status and integrate a fully connected ecosystem. Achieving such a transition presents notable challenges for Small and Medium Enterprises (SMEs) since they often face resource and skilled personnel limitations. This study developed a domain ontology to represent various stages of maturity toward I4.0 implementation. Ontology provides a tool for SMEs to self-assess in situations of machines, processes, and factories for the dimensions of control, integration, and intelligence. This study focused on the identification of classes and relationships according to I4.0 implementation situations in the context of a manufacturing setting, the reuse of ontologies related to the domain of observations to model situations, and the creation and validation of the ontology through the information obtained from the questionnaires applied to SMEs. Finally, the ontology delivers a tool to understand SMEs' current state concerning I4.0 implementation and plan based on informed decisions about the maturity state and the technology required to advance to the next stage in their manufacturing processes.

This study was partially supported by the grants CONAHCYT-CIATEQ CVU 899567 and 162867 and CONAHCYT SNI.

We express our gratitude to Teresa Novales Hernandez for the library support.

Domain ontology Industry 4.0 SMEs Smart factory SPARQL Semantic web INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS

Shopping for Ecological Indices? On the Use of Incidence-Based Species Compositional Similarity Measures

IAN MACGREGOR FORS FEDERICO ESCOBAR SARRIA JUAN FERNANDO ESCOBAR IBAÑEZ NATALIA MESA SIERRA FREDY ALEXANDER ALVARADO ROBERTO Rafael Rueda Hernández CLAUDIA ELIZABETH MORENO ORTEGA Ina Falfán ERICK JOAQUIN CORRO MENDEZ Eduardo Octavio Pineda Arredondo Amandine Bourg JOSE LUIS AGUILAR LOPEZ (2022, [Artículo])

"β-diversity has been under continuous debate, with a current need to better understand the way in which a new wave of measures work. We assessed the results of 12 incidence-based β-diversity indices. Our results of gradual species composition overlap between paired assemblages considering progressive differences in species richness show the following: (i) four indices (β-2, β-3, β-3.s, and βr) should be used cautiously given that results with no shared species retrieve results that could be misinterpreted; (ii) all measures conceived specifically as partitioned components of species compositional dissimilarities ought to be used as such and not as independent measures per se; (iii) the non-linear response of some indices to gradual species composition overlap should be interpreted carefully, and further analysis using their results as dependent variables should be performed cautiously; and (iv) two metrics (βsim and βsor) behave predictably and linearly to gradual species composition overlap. We encourage ecologists using measures of β-diversity to fully understand their mathematical nature and type of results under the scenario to be used in order to avoid inappropriate and misleading inferences."

Beta diversity Nestedness Replacement Richness difference Species turnover BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

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