A systematic review examining the relationship between oral health care practices and the oral lesions commonly associated with HIV/AIDS, and the implications for people living in developing countries

Oral lesions, which may be bacterial, fungal or viral in nature may be characteristic of HIV/ AIDS, and have been observed on the oral mucosa as early signs of underlying disease. Some studies have suggested that there may be a correlation between poor oral hygiene, and the oral lesions seen among people living with HIV/AIDS.^ The objective of this study was to assess the nature of the relationship between oral health care practices, and the occurrence of oral lesions commonly seen in association with HIV/AIDS. A systematic review of the literature was conducted, and the databases searched were Medline and PubMed. Concepts that made up the search were oral hygiene promotion, HIV/AIDS and oral health care. Out of the 410 items identified through the search, only 11 met the inclusion criteria.^ The use of 0.12%–2% chlorhexidine gluconate, was found to be effective in reducing oral Candida counts in some studies, while other studies did not find such an association. However, 0.12%–2% chlorhexidine gluconate was consistently found to be effective in the management of periodontal lesions in people infected with HIV/AIDS. ^ Dental procedures such as treatment and filling of dental cavities, scaling and polishing, and use of fluoridated tooth paste were also found to be effective in the management of oral lesions seen in association with HIV/AIDS.^ The overall findings from the studies reviewed, suggest that effective oral health care may be necessary to reduce the morbidity, and mortality associated with the oral lesions seen among people living with HIV/AIDS. However, better designed studies with larger sample sizes need to be developed in order to ascertain the effectiveness of routine oral hygiene, and health care practices among people living with HIV/AIDS.^

Feeding practices and their associations with diarrhea incidence in a cohort of rural Egyptian infants

A study was conducted in 4 villages in Bilbeis, Egypt, to document the infant feeding practices and identify their determinants, and examine the associations between feeding practices and diarrhea incidence in infants. A cohort of 152 infants were followed from birth with twice-weekly home visits to record feeding practices and diarrheal illness. Cross-sectional information was obtained about child birth; early neonatal feeding practices; and the socioeconomic, demographic, and water and sanitation characteristics of study families.^ Prelacteal fees were given to 60% of the infants. Nineteen percent of the infants were wet nursed at least once during the first week of life. Breast-feeding prevalence declined from 100% among infants aged less than 12 weeks to 84% among those aged 44-47 weeks. The prevalence of exclusive breast-feeding among breast-fed infants was 38% in those aged less than 4 weeks, increased to 54% in age period 4-7 weeks, and then declined rapidly to 4% in age period 24-27 weeks. The patterns and determinants of consumption by breast-fed infants of specific supplements were examined in detail.^ Between birth and age 47 weeks, the diarrhea incidence rate per person-year among breast-fed infants (6.84 episodes) was identical to the rate among all infants (6.89 episodes). In age period 0-11 weeks, the diarrhea incidence rate among breast-fed infants receiving supplements was 1.3 times (95% confidence interval: 0.9-2.0) higher than the rate among those exclusively breast-fed. In other age periods, diarrhea incidence was generally nonsignificantly higher among exclusively breast-fed infants than among those partially breast-fed and those completely weaned.^ Both univariate and multivariate analyses were done to examine the associations between diarrhea incidence and the consumption by breast-fed infants of specific supplements. After multivariate adjustment, supplements that showed significant, borderline, or suggestive positive associations with diarrhea incidence were cereal-water, cheese, raw vegetables, and 'other' foods. Significant, borderline, or suggestive negative associations were observed between diarrhea incidence and the intake of fresh animal milk, and potatoes.^ To reduce the risk of diarrhea, indiscriminate use of supplements among Bilbeis infants aged less than 12 weeks should be strongly discouraged. While mothers in this area should be educated about methods of safer preparation, handling, storage, and administration of all weaning foods, their attention should be particularly drawn to the 4 foods that were found to be positively associated with diarrhea incidence among infants in this study. ^

Interpretation services for immigrants in federally qualified health centers: Barriers, best practices, and suggestions for the future

This paper examines the provision of interpretation services to immigrants with limited English proficiency in Federally Qualified Health Centers, through examination of barriers and best practices. The United States is a nation of immigrants; currently, more than 38 million, or 12.5 percent of the total population, is foreign-born. A substantial portion of this population does not have health insurance or speak English fluently: barriers that reduce the likelihood that they will access traditional health care organizations. This service void is filled by FQHCs, which are non-profit, community-directed providers that remove common barriers to care by serving communities who otherwise confront financial, geographic, language, and cultural barriers. By examining the importance and the implementation of medical interpretation services in FQHCs, suggestions for the future are presented.^

Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web

The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built.

Effect of five enological practices and of the general phenolic composition on fermentation-related aroma compounds in Mencia young red wines

The effects of five technological procedures and of the contents of total anthocyanins and condensed tan- nins on 19 fermentation-related aroma compounds of young red Mencia wines were studied. Multifactor ANOVA revealed that levels of those volatiles changed significantly over the length of storage in bottles and, to a lesser extent, due to other technological factors considered; total anthocyanins and condensed tannins also changed significantly as a result of the five practices assayed. Five aroma compounds pos- sessed an odour activity value >1 in all wines, and another four in some wines. Linear correlation among volatile compounds and general phenolic composition revealed that total anthocyanins were highly related to 14 different aroma compounds. Multifactor ANOVA, considering the content of total anthocy- anins as a sixth random factor, revealed that this parameter affected significantly the contents of ethyl lactate, ethyl isovalerate, 1-pentanol and ethyl octanoate. Thus, the aroma of young red Mencia wines may be affected by levels of total anthocyanins

Utilizing the Internet of Things to promote energy awareness and efficiency at discrete production processes: Practices and methodology

El actual contexto de fabricación, con incrementos en los precios de la energía, una creciente preocupación medioambiental y cambios continuos en los comportamientos de los consumidores, fomenta que los responsables prioricen la fabricación respetuosa con el medioambiente. El paradigma del Internet de las Cosas (IoT) promete incrementar la visibilidad y la atención prestada al consumo de energía gracias tanto a sensores como a medidores inteligentes en los niveles de máquina y de línea de producción. En consecuencia es posible y sencillo obtener datos de consumo de energía en tiempo real proveniente de los procesos de fabricación, pero además es posible analizarlos para incrementar su importancia en la toma de decisiones. Esta tesis pretende investigar cómo utilizar la adopción del Internet de las Cosas en el nivel de planta de producción, en procesos discretos, para incrementar la capacidad de uso de la información proveniente tanto de la energía como de la eficiencia energética. Para alcanzar este objetivo general, la investigación se ha dividido en cuatro sub-objetivos y la misma se ha desarrollado a lo largo de cuatro fases principales (en adelante estudios). El primer estudio de esta tesis, que se apoya sobre una revisión bibliográfica comprehensiva y sobre las aportaciones de expertos, define prácticas de gestión de la producción que son energéticamente eficientes y que se apoyan de un modo preeminente en la tecnología IoT. Este primer estudio también detalla los beneficios esperables al adoptar estas prácticas de gestión. Además, propugna un marco de referencia para permitir la integración de los datos que sobre el consumo energético se obtienen en el marco de las plataformas y sistemas de información de la compañía. Esto se lleva a cabo con el objetivo último de remarcar cómo estos datos pueden ser utilizados para apalancar decisiones en los niveles de procesos tanto tácticos como operativos. Segundo, considerando los precios de la energía como variables en el mercado intradiario y la disponibilidad de información detallada sobre el estado de las máquinas desde el punto de vista de consumo energético, el segundo estudio propone un modelo matemático para minimizar los costes del consumo de energía para la programación de asignaciones de una única máquina que deba atender a varios procesos de producción. Este modelo permite la toma de decisiones en el nivel de máquina para determinar los instantes de lanzamiento de cada trabajo de producción, los tiempos muertos, cuándo la máquina debe ser puesta en un estado de apagada, el momento adecuado para rearrancar, y para pararse, etc. Así, este modelo habilita al responsable de producción de implementar el esquema de producción menos costoso para cada turno de producción. En el tercer estudio esta investigación proporciona una metodología para ayudar a los responsables a implementar IoT en el nivel de los sistemas productivos. Se incluye un análisis del estado en que se encuentran los sistemas de gestión de energía y de producción en la factoría, así como también se proporcionan recomendaciones sobre procedimientos para implementar IoT para capturar y analizar los datos de consumo. Esta metodología ha sido validada en un estudio piloto, donde algunos indicadores clave de rendimiento (KPIs) han sido empleados para determinar la eficiencia energética. En el cuarto estudio el objetivo es introducir una vía para obtener visibilidad y relevancia a diferentes niveles de la energía consumida en los procesos de producción. El método propuesto permite que las factorías con procesos de producción discretos puedan determinar la energía consumida, el CO2 emitido o el coste de la energía consumida ya sea en cualquiera de los niveles: operación, producto o la orden de fabricación completa, siempre considerando las diferentes fuentes de energía y las fluctuaciones en los precios de la misma. Los resultados muestran que decisiones y prácticas de gestión para conseguir sistemas de producción energéticamente eficientes son posibles en virtud del Internet de las Cosas. También, con los resultados de esta tesis los responsables de la gestión energética en las compañías pueden plantearse una aproximación a la utilización del IoT desde un punto de vista de la obtención de beneficios, abordando aquellas prácticas de gestión energética que se encuentran más próximas al nivel de madurez de la factoría, a sus objetivos, al tipo de producción que desarrolla, etc. Así mismo esta tesis muestra que es posible obtener reducciones significativas de coste simplemente evitando los períodos de pico diario en el precio de la misma. Además la tesis permite identificar cómo el nivel de monitorización del consumo energético (es decir al nivel de máquina), el intervalo temporal, y el nivel del análisis de los datos son factores determinantes a la hora de localizar oportunidades para mejorar la eficiencia energética. Adicionalmente, la integración de datos de consumo energético en tiempo real con datos de producción (cuando existen altos niveles de estandarización en los procesos productivos y sus datos) es esencial para permitir que las factorías detallen la energía efectivamente consumida, su coste y CO2 emitido durante la producción de un producto o componente. Esto permite obtener una valiosa información a los gestores en el nivel decisor de la factoría así como a los consumidores y reguladores. ABSTRACT In today‘s manufacturing scenario, rising energy prices, increasing ecological awareness, and changing consumer behaviors are driving decision makers to prioritize green manufacturing. The Internet of Things (IoT) paradigm promises to increase the visibility and awareness of energy consumption, thanks to smart sensors and smart meters at the machine and production line level. Consequently, real-time energy consumption data from the manufacturing processes can be easily collected and then analyzed, to improve energy-aware decision-making. This thesis aims to investigate how to utilize the adoption of the Internet of Things at shop floor level to increase energy–awareness and the energy efficiency of discrete production processes. In order to achieve the main research goal, the research is divided into four sub-objectives, and is accomplished during four main phases (i.e., studies). In the first study, by relying on a comprehensive literature review and on experts‘ insights, the thesis defines energy-efficient production management practices that are enhanced and enabled by IoT technology. The first study also explains the benefits that can be obtained by adopting such management practices. Furthermore, it presents a framework to support the integration of gathered energy data into a company‘s information technology tools and platforms, which is done with the ultimate goal of highlighting how operational and tactical decision-making processes could leverage such data in order to improve energy efficiency. Considering the variable energy prices in one day, along with the availability of detailed machine status energy data, the second study proposes a mathematical model to minimize energy consumption costs for single machine production scheduling during production processes. This model works by making decisions at the machine level to determine the launch times for job processing, idle time, when the machine must be shut down, ―turning on‖ time, and ―turning off‖ time. This model enables the operations manager to implement the least expensive production schedule during a production shift. In the third study, the research provides a methodology to help managers implement the IoT at the production system level; it includes an analysis of current energy management and production systems at the factory, and recommends procedures for implementing the IoT to collect and analyze energy data. The methodology has been validated by a pilot study, where energy KPIs have been used to evaluate energy efficiency. In the fourth study, the goal is to introduce a way to achieve multi-level awareness of the energy consumed during production processes. The proposed method enables discrete factories to specify energy consumption, CO2 emissions, and the cost of the energy consumed at operation, production and order levels, while considering energy sources and fluctuations in energy prices. The results show that energy-efficient production management practices and decisions can be enhanced and enabled by the IoT. With the outcomes of the thesis, energy managers can approach the IoT adoption in a benefit-driven way, by addressing energy management practices that are close to the maturity level of the factory, target, production type, etc. The thesis also shows that significant reductions in energy costs can be achieved by avoiding high-energy price periods in a day. Furthermore, the thesis determines the level of monitoring energy consumption (i.e., machine level), the interval time, and the level of energy data analysis, which are all important factors involved in finding opportunities to improve energy efficiency. Eventually, integrating real-time energy data with production data (when there are high levels of production process standardization data) is essential to enable factories to specify the amount and cost of energy consumed, as well as the CO2 emitted while producing a product, providing valuable information to decision makers at the factory level as well as to consumers and regulators.

The impact of marketing practices and its regulation policies on childhood obesity. Opinions of stakeholders in Spain

The aim of this study was to identify Spanish stakeholders’ views on the relationship between childhood obesity and the marketing and advertising of food and beverages aimed at children in Spain, as well as on the corresponding of regulations. We performed a qualitative study based on semi-structured interviews with Stakeholders/Key Informants (KI) from 13 organisations: experts (2), consumer advocates (1), public health advocates (2), food manufacturers (2), advertising advocates (1), government representatives (1), child/family/school advocates (2) and media (1). The variables studied were Prevalence of childhood obesity and its relationship to marketing/advertising and Regulation of marketing. In order to identify the most relevant arguments (pearls) in the discourses, a blind independent analysis by four members of the research team was performed. We found that the prevalence of childhood obesity was perceived to be higher than the European average. Self-regulation was identified as the main form of marketing control. Only food manufacturers and advertising agencies considered voluntary action and supervisory procedures to be effective. The other stakeholders advocated state control through legislation and non-state actions such as external assessment and sanctions. Despite the divergence of opinion between stakeholders, there was agreement on the need to improve supervision and to ensure compliance with current self-regulatory codes in Spain.

Injunctions against illegitimate labor practices and outlawing racketeering : Hearings before Subommittee no. 3, 77th Cong. 2d sess., April 2 - May 1, 1942.

Serial no. 17.

Enforcement of the national maximum speed limit enforcement practices and procedures. Final technical report.

National Highway Traffic Safety Administration, Washington, D.C.

The expanding soybean meal market : how changes in feeding practices and growth of the formula feed industry have affected demand /

Cover title.

Building regulatory practices and the courts /

Mode of access: Internet.