117,830 research outputs found
Modeling microbial inactivation by high-pressure homogenization with a machine learning approach
No full textThis study leverages machine learning to create advanced predictive models for microbial inactivation during high-pressure homogenization (HPH). Unlike conventional models, which often focus solely on operating conditions, these models integrate additional factors, such as homogenizer-specific hydrodynamics, liquid media properties, and microorganism-specific characteristics. These factors are typically omitted in conventional models due to their wide variability across studies and the challenge of transforming them into a limited set of quantifiable variables. For instance, the influence of variations in homogenization valve geometry or changes in fluid viscosity are rarely incorporated, despite their significant impact on HPH outcomes. Through a comprehensive meta-analysis of literature data and the incorporation of dimensionless number to cluster diverse independent operating variables, various models, including artificial neural network (ANN) and random forest (RF), are trained and tested. While RF models exhibit faster runtimes without sacrificing performance compared to neural networks, a hybrid model was also devised to enhance prediction accuracy. This hybrid approach integrates RFs with the empirical Weibull model, linking microbial inactivation with applied pressure and the number of HPH passes. Notably, the hybrid model outperforms others, aligning well with expected inactivation trends. Challenges persist, such as the need for additional data and the inclusion of more relevant variables, underscoring the study's significance in advancing our comprehension of HPH's impact on microbial inactivation, thereby bolstering food safety and prolonging shelf-life
Efectos tóxicos del detergente doméstico "Magia Blanca", sobre las especies de peces Piaractus brachypomus (Cuvier, 1818) Paco y Colossoma macropomum (Cuvier, 1818) Gamitana (Piscis, Characiformes), en ambientes controlados
No full textEl uso de agentes contaminantes en organismos vivos bajo condiciones de laboratorio se ha incrementado en estos últimos tiempos, debido a la brevedad con que se obtiene la información sobre las dosis letales (CL50) que afectan negativamente a los organismos vivos. El objetivo de este trabajo fue evaluar la toxicidad aguda del detergente Magia Blanca cuyo componente activo biodegradable es el Alquil Aril Sulfonato de Sodio (AASS) sobre las especies de peces Piaractus brachypomus Paco (Cuvier, 1818) y Colossoma macropomum Gamitana (Cuvier, 1818) (PISCIS, CHARACIFORMES), mediante la realización de bioensayos de 96 horas de duración. Estos bioensayos fueron de tipo estático, sin renovación del medio y cuyo diseño experimental estuvo enmarcado en: 4 concentraciones del detergente más un control, 3 repeticiones y un total de 150 peces por cada bioensayo, los cuales presentaron una talla promedio de 3.5 cm. La concentración letal media (CL50) es un parámetro de gran importancia toxicológica; y nos indica la concentración del tóxico que es capaz de producir la muerte al 50% de los individuos expuestos a la prueba. Se reporta que el valor de la concentración letal media (CL50) a 96 horas de exposición para el Paco fue en promedio 18.1 mg/L de LAS, y para la Gamitana fue de 4.8 mg/L de LAS existiendo diferencia significativa entre el porcentaje de mortalidad del detergente evaluado en las dos especies de peces empleados. Cabe mencionar que la muerte de los peces se dio por acción directa del detergente ocasionando agresividad en el comportamiento y por ende canibalismo. Estos resultados nos indican que el detergente es más tóxico para Colossoma macropomum Gamitana, en comparación con Piaractus brachypomus Paco.Tesi
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
No full textIn this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Letter from unknown writer to Jesse L. Boyce
No full textLetter to Jesse L. Boyce from unknown author (possibly Jack) about the investigation into the powder magazine located in the Grand Canyon. Some personal news is included in the letter such as the writer's marriage to the daughter of C.A. Taylor, former Supervisor of Cochise County
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Sarah L. Blum Author Visit - Warrior Nurse: PTSD and Healing
No full textHear Sarah L. Blum, author of Women Under Fire: Abuse in the Military, discuss her newest book, Warrior Nurse: PTSD and Healing followed by a Q&A and book signing.
Sarah L. Blum is a decorated Vietnam veteran who served as an operating room nurse during the intense fighting of 1967. In recognition of her service, she was awarded the Army Commendation Medal.
Sponsored by CWU Veterans Center and CWU Libraries.https://digitalcommons.cwu.edu/libraryevents/1252/thumbnail.jp
Lillian L. Lambert, Author, Speaker, and Entrepreneur
No full textLillian L. Lambert, Author, Speaker, and Entrepreneu
Letter to Alfred L. Shoemaker, February 10, 1948
No full textA handwritten letter from an unknown author addressed to Alfred L. Shoemaker, dated February 10, 1948. Within, the author discusses the Pennsylvania Dutch word for Ash Wednesday, along with traditions associated with this day.https://digitalcommons.ursinus.edu/shoemaker_documents/1118/thumbnail.jp
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