MAMOT: hidden Markov modeling tool.

Hidden Markov models (HMMs) are probabilistic models that are well adapted to many tasks in bioinformatics, for example, for predicting the occurrence of specific motifs in biological sequences. MAMOT is a command-line program for Unix-like operating systems, including MacOS X, that we developed to allow scientists to apply HMMs more easily in their research. One can define the architecture and initial parameters of the model in a text file and then use MAMOT for parameter optimization on example data, decoding (like predicting motif occurrence in sequences) and the production of stochastic sequences generated according to the probabilistic model. Two examples for which models are provided are coiled-coil domains in protein sequences and protein binding sites in DNA. A wealth of useful features include the use of pseudocounts, state tying and fixing of selected parameters in learning, and the inclusion of prior probabilities in decoding. AVAILABILITY: MAMOT is implemented in C++, and is distributed under the GNU General Public Licence (GPL). The software, documentation, and example model files can be found at http://bcf.isb-sib.ch/mamot

Infusión continua de anestésico local a nivel subfascial como analgesia postoperatoria en la cesárea: evaluación clínica y de satisfacción.

iv. La infiltració subfascial contínua d'anestèsic local a la ferida quirúrgica és una tècnica d'analgèsia postoperatòria. Objectius: Intentem valorar l'eficàcia analgèsica d'aquesta tècnica després d'una cesària. Material i Mètodes: Estudiem 44 pacients en les 48 hores següents a la cesària infiltrant bupivacaína 0'2% amb un catèter subfascial i una bomba d'infusió contínua. Resultats: Hi ha una correcta analgèsia amb un pic de dolor inicial. Discussió i Conclusions: La infiltració contínua d'un anestèsic local a nivell subfascial a la ferida quirúrgica és eficaç en la reducció del dolor postcesària però seria convenient reforçar-la inicialment.

Ochlerotatus albifasciatus in rain pools of Buenos Aires: seasonal dynamics and relation to environmental variables

The immature stages of Ochlerotatus albifasciatus develop in temporary pools. The present study aims at evaluating the seasonal dynamics of the aquatic stages of this mosquito, also analyzing the relationship among their presence and breeding success to some relevant climatic and environmental variables in the ephemeral rain pools of an urban park. Nineteen cohorts of O. albifasciatus that developed synchronously after rain events were recorded in all seasons. The proportions of mosquito-positive pools were significantly higher during the fall-winter period than in the spring-summer months (p < 0.001). The presence of this mosquito species was positively related to the amount of rain (p < 0.001), whereas negatively correlated to air temperature (p < 0.05) within a 5.2 to 29.7ºC range. The distribution of the number of cohorts per pool throughout the year was grouped (variance/mean: 3.96), indicating that these habitats were not equally suitable as breeding sites. The immature stages of O. albifasciatus were detected in pools belonging to all of the categories of surface area, depth, duration, vegetation cover, and insolation. However, the proportion of pools where immature mosquitoes were detected was positively and significantly related to surface, depth, duration, and vegetation cover. On the other hand, the proportion of mosquito-positive pools was higher at an intermediate insolation degree. Our results suggest that although preimaginal stages were present in all seasons, high temperatures may be unfavorable to larval development, and substrate vegetation may regulate water temperature. The positive relationship between the proportion of mosquito-positive pools and pool size and duration might reflect a strategy of O. albifasciatus to accomplish immature development.

The Social Inclusion of Older People at Local Level: The Role and Contribution of CDBs

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Variables asociadas a necrosis pancreática en pacientes con Pancreatitis Aguda Grave.

Hem fet un estudi retrospectiu de 73 adults amb pancreatitis aguda greu recollint variables analítiques i radiològiques a l'ingrés i a les 48h i relacionant-les amb l'existència de necrosi pancreàtica a la TC. Les variables relacionades amb la necrosi van ser: edat, leucòcits, VSG, TP, INR, glucèmia, urea, creatinina, proteïnes, albúmina, LDH, calci, PCR i presència de vessament pleural a la Rx. D'aquestes, el vessament pleural a l'ingrés i la hipoalbuminemia, les xifres altes de LDH i PCR a les 48 hores es van relacionar significativament, la qual cosa permet identificar pacients amb major risc en els quals instaurar mesures precoces

Eficacia analgésica de la infusión continua de anestésico local a nivel subfascial en cesárea: comparación de dos anestésicos locales

El dolor es una complicación frecuente tras cesárea. Últimamente, se está desarrollando una nueva técnica analgésica que consiste en la infiltración de anestésico local (AL) a nivel subfascial en la herida quirúrgica. Nuestro objetivo es comparar la eficacia analgésica de dos AL. Para ello evaluamos el grado de dolor, parámetros hemodinámicos, satisfacción de las pacientes y necesidad de analgesia de rescate. El análisis estadístico concluyó que no existían diferencias entre los dos tratamientos, con buen control del dolor, sin existir alteraciones hemodinámicas. Parece que la infiltración de un AL es eficaz en la reducción del dolor postoperatorio, con menor consumo de analgesia intravenosa, y sin aumento de efectos secundarios.

Social Inclusion of Older People at Local Level:The Role and Contribution of the CDBs - Conference Proceedings

This is a publication of The National Council on Ageing and Older People The Conference took place on October 3, 2005 . It attracted almost 250 delegates from across the statutory, voluntary and private sectors, and from every county. The Conference provided the opportunity for delegates to focus on the issue of social inclusion of older people at local level and the challenges it presents. It also gave us the opportunity to examine the issue in the context of work done at the international and national levels as well as work done at local level. Read the Report (PDF, 317kb)

Els obrers industrials de Mataró 1870-1900 : una aproximació al seu entorn social, a partir de la premsa local de l'època

Aproximació a la realitat, influències i expectatives dels obrers de la ciutat de Mataró, durant el darrer terç del segle XIX, basada principalment en la lectura de la premsa local de l'època. Amb la intenció d'il·lustrar les llums i ombres de la industrialització i del liberalisme econòmic en una fase incipient, a través d'un col·lectiu social representatiu.

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

Local moderate magnetically induced hyperthermia using an implant formed in situ in a mouse tumor model.

Purpose: We investigate a new heat delivery technique for the local treatment of solid tumors. The technique involves injecting a formulation that solidifies to form an implant in situ. This implant entraps superparamagnetic iron oxide nanoparticles (SPIONs) embedded in silica microbeads for magnetically induced moderate hyperthermia. Particle entrapment prevents phagocytosis and distant migration of SPIONs. The implant can be repeatedly heated by magnetic induction. Methods: We evaluated heating and treatment efficacies by means of thermometry and survival studies in nude mice carrying subcutaneous human colocarcinomas. At day 1, we injected the formulation into the tumor. At day 2, a single 20-min hyperthermia treatment was delivered by 141-kHz magnetic induction using field strengths of 9 to 12 mT under thermometry. Results: SPIONs embedded in silica microbeads were effectively confined within the implant at the injection site. Heat-induced necro-apoptosis was assessed by histology on day 3. On average, 12 mT resulted in tumor temperature of 47.8 degrees C, and over 70% tumor necrosis that correlated to the heat dose (AUC = 282 degrees C.min). In contrast, a 9-mT field strength induced tumoral temperature of 40 degrees C (AUC = 131 degrees C.min) without morphologically identifiable necrosis. Survival after treatment with 10.5 or 12 mT fields was significantly improved compared to non-implanted and implanted controls. Median survival times were 27 and 37 days versus 12 and 21 days respectively. Conclusion: Five of eleven mice (45%) of the 12 mT group survived one year without any tumor recurrence, holding promise for tumor therapy using magnetically induced moderate hyperthermia through injectable implants.

Decreased local control following radiation therapy alone in early-stage glottic carcinoma with anterior commissure extension.

PURPOSE: To assess the patterns of failure in the treatment of early-stage squamous cell carcinoma of the glottic larynx. PATIENTS AND METHODS: Between 1983-2000, 122 consecutive patients treated for early laryngeal cancer (UICC T1N0 and T2N0) by radical radiation therapy (RT) were retrospectively studied. Male-to-female ratio was 106 : 16, and median age 62 years (35-92 years). There were 68 patients with T1a, 18 with T1b, and 36 with T2 tumors. Diagnosis was made by biopsy in 104 patients, and by laser vaporization or stripping in 18. Treatment planning consisted of three-dimensional (3-D) conformal RT in 49 (40%) patients including nine patients irradiated using arytenoid protection. A median dose of 70 Gy (60-74 Gy) was given (2 Gy/fraction) over a median period of 46 days (21-79 days). Median follow-up period was 85 months. RESULTS: The 5-year overall, cancer-specific, and disease-free survival amounted to 80%, 94%, and 70%, respectively. 5-year local control was 83%. Median time to local recurrence in 19 patients was 13 months (5-58 months). Salvage treatment consisted of surgery in 17 patients (one patient refused salvage and one was inoperable; total laryngectomy in eleven, and partial laryngectomy or cordectomy in six patients). Six patients died because of laryngeal cancer. Univariate analyses revealed that prognostic factors negatively influencing local control were anterior commissure extension, arytenoid protection, and total RT dose < 66 Gy. Among the factors analyzed, multivariate analysis (Cox model) demonstrated that anterior commissure extension, arytenoid protection, and male gender were the worst independent prognostic factors in terms of local control. CONCLUSION: For early-stage laryngeal cancer, outcome after RT is excellent. In case of anterior commissure extension, surgery or higher RT doses are warranted. Because of a high relapse risk, arytenoid protection should not be attempted.

PHA/HSCB Hidden Harm Action Plan

This joint PHA/HSCB Hidden Harm Action Plan - Responding to the needs of children born to and living with parental alcohol and drug misuse in Northern Ireland, has been prepared for the DHSSPS in response to the PfA target on Hidden Harm. The plan was approved by DHSSPS in October 2009.

Local Tobacco Control Profiles for England

The Local Tobacco Control Profiles for England provides a snapshot of the extent of tobacco use, tobacco related harm, and measures being taken to reduce this harm at a local level. These profiles have been designed to help local government and health services to assess the effect of tobacco use on their local populations. They will inform commissioning and planning decisions to tackle tobacco use and improve the health of local communities. The tool allows you to compare your local authority against other local authorities in the region and benchmark your local authority against the England average.

PHE-CRCE-010: Estimating Local Mortality Burdens associated with Particulate Air Pollution

The increase in mortality risk associated with long-term exposure to particulate air pollution is one of the most important, and best-characterised, effects of air pollution on health. This report presents estimates of the size of this effect on mortality in local authority areas in the UK, building upon the attributable fractions reported as an indicator in the public health outcomes framework for England. It discusses the concepts and assumptions underlying these calculations and gives information on how such estimates can be made. The estimates are expected to be useful to health and wellbeing boards when assessing local public health priorities, as well as to others working in the field of air quality and public health. The estimates of mortality burden are based on modelled annual average concentrations of fine particulate matter (PM2.5) in each local authority area originating from human activities. Local data on the adult population and adult mortality rates is also used. Central estimates of the fraction of mortality attributable to long-term exposure to current levels of anthropogenic (human-made) particulate air pollution range from around 2.5% in some local authorities in rural areas of Scotland and Northern Ireland and between 3 and 5% in Wales, to over 8% in some London boroughs. Because of uncertainty in the increase in mortality risk associated with ambient PM2.5, the actual burdens associated with these modelled concentrations could range from approximately one-sixth to about double these figures. Thus, current levels of particulate air pollution have a considerable impact on public health. Measures to reduce levels of particulate air pollution, or to reduce exposure of the population to such pollution, are regarded as an important public health initiative.

Health inequalities: A toolkit to support local conversations

The National Conversation on Health Inequalities is a programme by Public Health England to start a conversation with the public about health inequalities and solutions to reduce these inequalities. This toolkit shows you how to start a conversation in your community.