Sanitización de biosólidos de plantas de tratamiento primario avanzado: ¿compostaje o estabilización alcalina?

Este estudio tuvo como propósito evaluar dos alternativas de reducción de patógenos; Compostaje y tratamiento alcalino en los biosólidos generados en la Planta de Tratamiento de Aguas Residuales de Cañaveralejo (PTAR-C), de Cali, Colombia. Para el compostaje se utilizó: Biosólidos; Biosólidos (B) + cachaza (C)+ residuos de poda (P); Biosolido (B) + Residuos Organicos de mercado (ROPM) + residuos de poda (P), por 61 días. El tratamiento alcalino se desarrollo por 13 días. Cal apagada y ceniza de carbón fue aplicada a: Biosólidos y al producto final del compostaje. Fueron 8, 15 y 30 % (peso/peso) las concentraciones aplicadas de ambos tipos de alcalinizantes. pH, humedad, temperatura, demanda química de Oxigeno (DQO, Nitrogeno Total Kjeldahl (NTK), Nitrogeno amoniacal (N- NH , huevos de helmintos y coliformes fecales (CF) se 4) monitorearon en ambos experimentos. Los resultados mostraron que la mejor mezcla de compost fue (B + C + P), eliminado patógenos, manteniendo la clasificación del material como Clase B, con una media geométrica para CF de 4x10-3 UFC g-1, indicando que el proceso no alcanza la clase A. La estabilización alcalina mostró que la ceniza para todas las dosis aplicadas produjo una calidad microbiológica de CF similar al compost, mostrando cierta debilidad de este material en su poder higienizante desde el punto de vista costo-eficiencia. Cal apagada al 15 y 30% produjo mejor calidad microbiológica con cero UFC g-1 de CF, alcanzando el estándar de clase A según la Agencia de Proteccion Ambiental. Esta situación puede estar asociada al incremento de pH. Para el 8% (peso/peso) la calidad fue menor a las dos anteriores y no alcanzó el estándar de clase A

Programa de desarrollo de software de alto desempeño I. ITESO

ITESO, A.C

Google Web Toolkit application solution for mild aphasia therapy

Aphasia is a disorder that results from damage to the parts of the brain that contain language. It typically occurs after a stroke, brain tumors, head injuries, infections or degenerative diseases leading to damage in areas of the brain cells. Aphasia causes problems with any or all of the following: speaking, listening, reading, and writing. Thousands of people of all ages and gender suffer from this disease and the trend is growing with the longevity of population. This article describes the design and development of specific software that can be useful for treatment of mild aphasia. This software is based on a Google Web Toolkit (GWT) application. GWT is an open source framework that allows developing a user friendly interface. The web application can be accessible to speech and language therapists (SLT) professionals and patients at different contexts and learning situations.Sociedad Argentina de Informática e Investigación Operativ

Google Web Toolkit application solution for mild aphasia therapy

Aphasia is a disorder that results from damage to the parts of the brain that contain language. It typically occurs after a stroke, brain tumors, head injuries, infections or degenerative diseases leading to damage in areas of the brain cells. Aphasia causes problems with any or all of the following: speaking, listening, reading, and writing. Thousands of people of all ages and gender suffer from this disease and the trend is growing with the longevity of population. This article describes the design and development of specific software that can be useful for treatment of mild aphasia. This software is based on a Google Web Toolkit (GWT) application. GWT is an open source framework that allows developing a user friendly interface. The web application can be accessible to speech and language therapists (SLT) professionals and patients at different contexts and learning situations.Sociedad Argentina de Informática e Investigación Operativ

Google Web Toolkit application solution for mild aphasia therapy

Aphasia is a disorder that results from damage to the parts of the brain that contain language. It typically occurs after a stroke, brain tumors, head injuries, infections or degenerative diseases leading to damage in areas of the brain cells. Aphasia causes problems with any or all of the following: speaking, listening, reading, and writing. Thousands of people of all ages and gender suffer from this disease and the trend is growing with the longevity of population. This article describes the design and development of specific software that can be useful for treatment of mild aphasia. This software is based on a Google Web Toolkit (GWT) application. GWT is an open source framework that allows developing a user friendly interface. The web application can be accessible to speech and language therapists (SLT) professionals and patients at different contexts and learning situations.Sociedad Argentina de Informática e Investigación Operativ

Effects of leas and mecury on the blood proteome of children

Heavy metal exposure in children has been associated with a variety of physiological and neurological problems. The goal of this study was to utilize proteomics to enhance the understanding of biochemical interactions responsible for the health problems related to lead and mercury exposure at concentrations well below CDC guidelines. Blood plasma and serum samples from 34 children were depleted of their most abundant proteins using antibody-based affinity columns and analyzed using two different methods, LC-MS/MS and 2-D electrophoresis coupled with MALDI-TOF/MS and tandem mass spectrometry. Apolipoprotein E demonstrated an inverse significant association with lead concentrations (average being one microgram/deciliter) as deduced from LC-MS/MS and 2-D electrophoresis and confirmed by Western blot analysis. This coincides with prior findings that Apolipoprotein E genotype moderates neurobehavioral effects in individuals exposed to lead. Fifteen other proteins were identified by LC-MS/MS as proteins of interest exhibiting expressional differences in the presence of environmental lead and mercury. Brooks Gump is currently at Syracuse University

A Telehealth-Delivered Pulmonary Rehabilitation Intervention in Underserved Hispanic and African American Patients With Chronic Obstructive Pulmonary Disease: A Community-Based Participatory Research Approach.

BACKGROUND:Although home telemonitoring (TM) is a promising approach for patients managing their chronic disease, rehabilitation using home TM has not been tested for use with individuals living with chronic obstructive pulmonary disease (COPD) residing in underserved communities. OBJECTIVE:This study aimed to analyze qualitative data from focus groups with key stakeholders to ensure the acceptability and usability of the TM COPD intervention. METHODS:We utilized a community-based participatory research (CBPR) approach to adapt a home TM COPD intervention to facilitate acceptability and feasibility in low-income African American and Hispanic patients. The study engaged community stakeholders in the process of modifying the intervention in the context of 2 community advisory board meetings. Discussions were audio recorded and professionally transcribed and lasted approximately 2 hours each. Structural coding was used to mark responses to topical questions in interview guides. RESULTS:We describe herein the formative process of a CBPR study aimed at optimizing telehealth utilization among African American and Latino patients with COPD from underserved communities. A total of 5 major themes emerged from qualitative analyses of community discussions: equipment changes, recruitment process, study logistics, self-efficacy, and access. The identification of themes was instrumental in understanding the concerns of patients and other stakeholders in adapting the pulmonary rehabilitation (PR) home intervention for acceptability for patients with COPD from underserved communities. CONCLUSIONS:These findings identify important adaptation recommendations from the stakeholder perspective that should be considered when implementing in-home PR via TM for underserved COPD patients. TRIAL REGISTRATION:ClinicalTrials.gov NCT03007485; https://clinicaltrials.gov/ct2/show/NCT03007485

Active compounds and distinctive sensory features provided by American ginseng (Panax quinquefolius L.) extract in a new functional milk beverage

American ginseng (Panax quinquefolius L.) has recognized neurocognitive effects, and a ginsenoside-rich extract of the root of the plant has been shown to improve cognitive functions in young adults. This study aimed at assessing the chemical and sensory profiles of a UHT-treated, low-lactose functional milk containing American ginseng. Individual ginsenosides in the milk were analyzed by HPLC. Descriptive sensory analysis was performed by a trained panel to quantitatively document sensory changes resulting from the addition of ginseng and the UHT process on flavored and unflavored milks. Consumer acceptance of the product was also investigated. Total ginsenoside content in the UHT-treated milk enriched with the ginseng extract after UHT process treatment was 7.52. mg/100. g of milk, corresponding to a recovery of 67.6% compared with the content in the unprocessed extract. The intake of 150 to 300. mL of this ginseng-enriched milk provides the amount of total ginsenosides (11.5 to 23. mg) necessary to improve cognitive function after its consumption. Both the presence of ginsenosides and their thermal treatment affected some sensory properties of the milk, most notably an increase in bitterness and metallic taste, the appearance of a brownish color, and a decrease in milky flavor. Levels of brown color, bitterness, and metallic taste were highest in the industrially processed ginseng-enriched milk. The bitterness attributable to ginseng extract was reduced by addition of vanilla flavor and sucralose. A consumer exploratory study revealed that a niche of consumers exists who are willing to consume this type of product.The financial support of the Ministry of Science and Innovation of Spain (Madrid, Spain) for the project SENIFOOD (CENIT Programme) and for the contract with A. Tárrega (Juan de la Cierva Programme) is acknowledged. We gratefully acknowledge Juan Duato Aguilar, from Naturex Spain S.L. (Quart de Poblet, Spain), for his valuable technical support

Detecting Machine-obfuscated Plagiarism

Related dataset is at https://doi.org/10.7302/bewj-qx93 and also listed in the dc.relation field of the full item record.Research on academic integrity has identified online paraphrasing tools as a severe threat to the effectiveness of plagiarism detection systems. To enable the automated identification of machine-paraphrased text, we make three contributions. First, we evaluate the effectiveness of six prominent word embedding models in combination with five classifiers for distinguishing human-written from machine-paraphrased text. The best performing classification approach achieves an accuracy of 99.0% for documents and 83.4% for paragraphs. Second, we show that the best approach outperforms human experts and established plagiarism detection systems for these classification tasks. Third, we provide a Web application that uses the best performing classification approach to indicate whether a text underwent machine-paraphrasing. The data and code of our study are openly available.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152346/1/Foltynek2020_Paraphrase_Detection.pdfDescription of Foltynek2020_Paraphrase_Detection.pdf : Foltynek2020_Paraphrase_Detectio