813 resultados para MEANINGFUL DIFFERENCE
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The aim of this paper is to find out if there is a significant difference in using NDVI dataset processed by harmonic analysis method to evaluate its dynamic and response to climate change, compared with the original data.
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It is the author’s position that the framework for WID/GAD, as academic field and practice concerned primarily with developing countries should be broadened so as to incorporate Japan’s own gender and development issues in its scope. Unlike other developed countries, activists and scholars in Japan rarely connected, as was also the case with the fields of women’s/gender studies and WID/GAD. However, this was not due to any lack of interest among Japanese women regarding the lives of women in developing countries. Rather the points of fissure were the notions of ‘difference’ and ‘development’ held by Japanese women. These analytical concepts were narrowly defined, which resulted in limited interaction between discourse on women’s issues in Japan and WID/GAD related to ‘other’ women. By re-examining these notions and looking more deeply into perceived differences in the local context of ‘development’, not only can we strategize on ‘differences’ in such a way that we draw strength from the very fact of being different, but also prevent ‘differences’ from being used as grounds for discrimination. As a whole, we could gain substantially by broadening the field of Gender and Development and, as such, it is imperative that this field be broadened with urgency as development itself changes in this ever-interconnected world
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We introduce a simple and innovative method to compare any two texture maps, regardless of their sizes, aspect ratios, or even masks, as long as they are both meant to be mapped onto the same 3D mesh. Our system is based on a zero-distortion 3D mesh unwrapping technique which compares two new adapted texture atlases with the same mask but different texel colors, and whose every texel covers the same area in 3D. Once these adapted atlases are created, we measure their difference with ITEM-RMSE, a slightly modified version of the standard RMSE defined for images. ITEM-RMSE is more meaningful and reliable than RMSE because it only takes into account the texels inside the mask, since they are the only ones that will actually be used during rendering. Our method is not only very useful to compare the space efficiency of different texture atlas generation algorithms, but also to quantify texture loss in compression schemes for multi-resolution textured 3D meshes.
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We study the first passage statistics to adsorbing boundaries of a Brownian motion in bounded two-dimensional domains of different shapes and configurations of the adsorbing and reflecting boundaries. From extensive numerical analysis we obtain the probability P(ω) distribution of the random variable ω=τ1/(τ1+τ2), which is a measure for how similar the first passage times τ1 and τ2 are of two independent realizations of a Brownian walk starting at the same location. We construct a chart for each domain, determining whether P(ω) represents a unimodal, bell-shaped form, or a bimodal, M-shaped behavior. While in the former case the mean first passage time (MFPT) is a valid characteristic of the first passage behavior, in the latter case it is an insufficient measure for the process. Strikingly we find a distinct turnover between the two modes of P(ω), characteristic for the domain shape and the respective location of absorbing and reflective boundaries. Our results demonstrate that large fluctuations of the first passage times may occur frequently in two-dimensional domains, rendering quite vague the general use of the MFPT as a robust measure of the actual behavior even in bounded domains, in which all moments of the first passage distribution exist.
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This paper reports on an innovative approach that aims to reduce information management costs in data-intensive and cognitively-complex biomedical environments. Recognizing the importance of prominent high-performance computing paradigms and large data processing technologies as well as collaboration support systems to remedy data-intensive issues, it adopts a hybrid approach by building on the synergy of these technologies. The proposed approach provides innovative Web-based workbenches that integrate and orchestrate a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities.
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We introduce a diffusion-based algorithm in which multiple agents cooperate to predict a common and global statevalue function by sharing local estimates and local gradient information among neighbors. Our algorithm is a fully distributed implementation of the gradient temporal difference with linear function approximation, to make it applicable to multiagent settings. Simulations illustrate the benefit of cooperation in learning, as made possible by the proposed algorithm.
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Evaluating the seismic hazard requires establishing a distribution of the seismic activity rate, irrespective of the methodology used in the evaluation. In practice, how that activity rate is established tends to be the main difference between the various evaluation methods. The traditional procedure relies on a seismogenic zonation and the Gutenberg-Richter (GR) hypothesis. Competing zonations are often compared looking only at the geometry of the zones, but the resulting activity rate is affected by both geometry and the values assigned to the GR parameters. Contour plots can be used for conducting more meaningful comparisons, providing the GR parameters are suitably normalised. More recent approaches for establishing the seismic activity rate forego the use of zones and GR statistics and special attention is paid here to such procedures. The paper presents comparisons between the local activity rates that result for the complete Iberian Peninsula using kernel estimators as well as two seismogenic zonations. It is concluded that the smooth variation of the seismic activity rate produced by zoneless methods is more realistic than the stepwise changes associated with zoned approaches; moreover, the choice of zonation often has a stronger influence on the results than its fairly subjective origin would warrant. It is also observed that the activity rate derived from the kernel approach, related with the GR parameter “a”, is qualitatively consistent with the epicentres in the catalogue. Finally, when comparing alternative zonations it is not just their geometry but the distribution of activity rate that should be compared.
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Among those damage identification methods, the Wavelet Packet Energy Curvature Difference (WPECD) Method is an effective one. However, most of the existing methods rely on numerical simulation and are unverified via experiment, and very few of them have been applied to practice. In this paper, the validity of WPECD in structural damage identification is verified by a numerical example. A damage simulation experiment is taken on a real replaced girder at the Ziya River New Bridge in Cangzhou. Two damage cases are applied and the acceleration responses at the measuring points are obtained, based on which the damages are identified with the WPECD Method, and the influence of wavelet function and decomposition level is studied. The results show that the WPECD Method can identify structure damage efficiently and can be put into practice.
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En el presente artículo se muestran las ventajas de la programación en paralelo resolviendo numéricamente la ecuación del calor en dos dimensiones a través del método de diferencias finitas explícito centrado en el espacio FTCS. De las conclusiones de este trabajo se pone de manifiesto la importancia de la programación en paralelo para tratar problemas grandes, en los que se requiere un elevado número de cálculos, para los cuales la programación secuencial resulta impracticable por el elevado tiempo de ejecución. En la primera sección se describe brevemente los conceptos básicos de programación en paralelo. Seguidamente se resume el método de diferencias finitas explícito centrado en el espacio FTCS aplicado a la ecuación parabólica del calor. Seguidamente se describe el problema de condiciones de contorno y valores iniciales específico al que se va a aplicar el método de diferencias finitas FTCS, proporcionando pseudocódigos de una implementación secuencial y dos implementaciones en paralelo. Finalmente tras la discusión de los resultados se presentan algunas conclusiones. In this paper the advantages of parallel computing are shown by solving the heat conduction equation in two dimensions with the forward in time central in space (FTCS) finite difference method. Two different levels of parallelization are consider and compared with traditional serial procedures. We show in this work the importance of parallel computing when dealing with large problems that are impractical or impossible to solve them with a serial computing procedure. In the first section a summary of parallel computing approach is presented. Subsequently, the forward in time central in space (FTCS) finite difference method for the heat conduction equation is outline, describing how the heat flow equation is derived in two dimensions and the particularities of the finite difference numerical technique considered. Then, a specific initial boundary value problem is solved by the FTCS finite difference method and serial and parallel pseudo codes are provided. Finally after results are discussed some conclusions are presented.
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With the growing body of research on traumatic brain injury and spinal cord injury, computational neuroscience has recently focused its modeling efforts on neuronal functional deficits following mechanical loading. However, in most of these efforts, cell damage is generally only characterized by purely mechanistic criteria, function of quantities such as stress, strain or their corresponding rates. The modeling of functional deficits in neurites as a consequence of macroscopic mechanical insults has been rarely explored. In particular, a quantitative mechanically based model of electrophysiological impairment in neuronal cells has only very recently been proposed (Jerusalem et al., 2013). In this paper, we present the implementation details of Neurite: the finite difference parallel program used in this reference. Following the application of a macroscopic strain at a given strain rate produced by a mechanical insult, Neurite is able to simulate the resulting neuronal electrical signal propagation, and thus the corresponding functional deficits. The simulation of the coupled mechanical and electrophysiological behaviors requires computational expensive calculations that increase in complexity as the network of the simulated cells grows. The solvers implemented in Neurite-explicit and implicit-were therefore parallelized using graphics processing units in order to reduce the burden of the simulation costs of large scale scenarios. Cable Theory and Hodgkin-Huxley models were implemented to account for the electrophysiological passive and active regions of a neurite, respectively, whereas a coupled mechanical model accounting for the neurite mechanical behavior within its surrounding medium was adopted as a link between lectrophysiology and mechanics (Jerusalem et al., 2013). This paper provides the details of the parallel implementation of Neurite, along with three different application examples: a long myelinated axon, a segmented dendritic tree, and a damaged axon. The capabilities of the program to deal with large scale scenarios, segmented neuronal structures, and functional deficits under mechanical loading are specifically highlighted.
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El cultivo de café es de gran importancia a nivel mundial (ICO, 2011), y en el Ecuador ha sido uno de los cultivos más importantes en la generación de divisas (COFENAC, 2011). Sin embargo en los sistemas productivos de este país se puede apreciar el uso inapropiado de fertilizantes, lo que conlleva a una pérdida de nutrientes, por lo que es importante estudiar las dosis adecuadas para la fertilización tanto mineral como orgánica. El objetivo del trabajo fue evaluar el efecto de la fertilización mineral y orgánica en diferentes dosis en un monocultivo de café en la provincia de Loja, sobre las propiedades del suelo, la emisión de los principales gases que provocan el efecto invernadero y la fenología y productividad del cultivo. En la provincia de Loja (Ecuador) se seleccionó un área de 2.520 m2 en la que se establecieron 21 parcelas de café arábigo (Coffea arabica L.) var. caturra y se aplicó tres tratamientos con tres repeticiones de fertilización mineral y tres orgánicos con dosis: bajas minerales (MIN 1= 157 Kg NPK ha-1 año-1 para el primer año y 425 Kg NPK ha-1 año-1 para el segundo año), medias minerales (MIN 2= 325 Kg NPK ha-1 año-1 para el primer año y 650 Kg NPK ha-1 año-1 en el segundo año) y altas minerales (MIN 3= 487 y 875 Kg NPK ha-1 año-1 para el primer y segundo año respectivamente), bajas orgánicas (ORG 1= 147 Kg NPK ha-1 año-1 en el primer año y 388 Kg NPK ha-1 año-1 en el año dos), medias orgánicas (ORG 2= 265 Kg NPK ha-1 año-1 para el primer año y 541 Kg NPK ha-1 año-1 en el segundo año), altas orgánicas (ORG 3= 368 Kg NPK ha-1 año-1 para el primer año y 727 Kg NPK ha-1 año-1 en el segundo año) y fertilización cero (TES = sin fertilización). Se usó urea, roca fosfórica y muriato de potasio en la fertilización mineral y humus (Bioabor) en la orgánica, más un tratamiento testigo, cada tratamiento tuvo tres repeticiones. El tiempo de evaluación de los fertilizantes aplicados fue de dos años consecutivos, la fertilización se la realizó dos veces por año y en base a análisis del suelo y demandas nutricionales del cultivo. para determinar las características del suelo se realizó muestreos de suelos en cada parcela a una profundidad de 20 cm de estas muestras los parámetro iniciales determinados fueron: color (Munsell), textura (método del hidrómetro), pH (relación 1:2,5 suelo-agua), Materia orgánica (Walkey y Black), Nitrógeno (Micro Kjendahl), Fósforo (Bray y Kurtz), Potasio (Olsen), estos procesos se repitieron cada seis meses para poder evaluar los cambios de que se producen debido a la fertilización mineral y orgánica en el cultivo. Las emisiones de gases efecto invernadero desde el suelo al ambiente se determinaron por el método de cámara cerrada (Rondón, 2000) y la concentración por cromatografía de gases. Las mediciones fisiológicas (altura de planta, ancho de copa, grosor de tallo y producción) se las evaluó cada dos meses, a excepción de la producción que fue anual al término de cada cosecha. Además se realizó el análisis económico de la productividad del cultivo. El análisis estadístico de datos se lo realizó con el programa SPSS v. 17.0. Las medias fueron comprobadas mediante ANOVAS de un factor con test de Tukey (P < 0,05). El beneficio económico se estimó en términos de ingresos y gastos totales que se presentaron en el ensayo. Los resultados obtenidos al término del ensayo indican que los tratamientos MIN 2 y MIN 3 produjeron cambios más significativos en comparación con los otros tratamientos establecidos en la mejora de fertilidad del suelo, el pH ha sido menos afectado en la acidificación en comparación con los tratamientos orgánicos que se han acidificado mayormente; la materia orgánica (MO) tuvo incrementos considerablemente bueno en estos dos tratamientos, sin embargo fueron superados por los tratamientos de fertilización orgánica; el nitrógeno total (Nt )y el potasio (K) también presentaron mejores valores al termino del ensayo y el fósforo (P) mostro incrementos buenos aunque un poco menores que los de los tratamientos ORG 2 y ORG 3. En lo que respecta a las emisiones de gases efecto invernadero, los flujos acumulados de óxido nitroso (N2O) en los dos años han aumentado en todos los tratamientos en comparación con el tratamiento Testigo, pero de manera considerable y con mayores flujos en el tratamiento MIN 3 y MIN 2 que se podrían considerarse los de mayor contaminación por N2O al ambiente lo que se le atribuye a las dosis de fertilización mineral aplicadas en el periodo de investigación, los tratamiento MIN 1 y todos los tratamientos orgánicos muestran menores emisiones al ambiente. Las emisiones de metano (CH4) no muestran mayores diferencias de emisiones entre tratamientos, siendo los mayores emisores los tratamientos ORG 3 y ORG 2 posiblemente debido al abono orgánico y añadido al suelo; para las emisiones de dióxido de carbono (CO2) de manera similar al CH4 el tratamiento ORG 3 fue el que presento mayores emisiones, los flujos de CO2 al ambiente de los otros tratamientos fueron menores y no presentaron diferencias significativas entre ellos. La variables fisiológicas en todos los casos apoyaron al desarrollo de las plantas de café, esto al ser comparadas con el tratamiento Testigo, sin embargo las que alcanzaron las mayores altitudes, anchos de copas y diámetro de tallo fueron las plantas del tratamiento MIN 3, seguido del MIN 3, no mostrando significancia entre ellos, y para los tratamientos orgánicos el que presento muy buenos resultados en estas variables ha sido el ORG 3, el cual no presento diferencias significativas con el MIN 2, lo cual comprueba que la fertilización mineral es más efectiva en este caso frente a la orgánica. Para el primer año de producción el tratamiento mineral con fertilización MIN 3 es el que obtuvo mayor producción no presentando diferencia estadística con el tratamiento con el MIN 2, no obstante fueron significativamente mayores que los otros tratamientos. Vale indicar que también el tratamiento MIN 1 y el tratamiento ORG 3 han presentado una producción considerable de café no mostrando diferencias estadísticas entre ellos. Para el segundo año la producción el cultivo mostró mayores rendimientos que el primer año de evaluación en todos los tratamientos, esto debido a la fisiología propia del cultivo y por otra parte se atribuye a la adición de fertilizantes que se ha realizado durante todo el ensayo; de manera similar al anterior los tratamientos MIN 3 y MIN 2 obtuvieron mejores rendimientos, no enseñando diferencias estadísticas significativas entre ellos, no obstante el tratamiento mineral dosis MEDIA no presentó significancia estadística con el ORG 3. El benéfico económico ha resultado mayor en el tratamiento MIN 3 y MIN 2, aunque el tratamiento MIN 2, es el que obtiene la mejor relación costo-beneficio; los tratamientos ORG 2 y ORG 3 y Testigo has producido beneficios negativos para el productor. En cuanto a la parte ambiental se considera que los mejores tratamientos en cuanto ha cuidado ambiental serían los tratamientos MIN 1 y ORG 1, sin embargo a nivel de producción y rentabilidad para el productor baja. ABSTRACT Coffee growing has great importance worldwide (ICO, 2011), and in Ecuador, it has been one of the most important crops to generate income (COFENAC, 2011). However, in the productive systems of this country, the inappropriate use of fertilizers has been observed which produces loss of nutrients, thus it is important to study suitable doses for mineral and organic fertilizing. The purpose of the study was to evaluate the effect of mineral and organic fertilizing at different doses in a coffee monoculture in the province of Loja on soil characteristics, emission of the main gasses that produce the greenhouse effect and the phenology and productivity of crops. In the province of Loja (Ecuador) an area of 2.520 m2 was chosen, where 21 plots of Arabica coffee (Coffea arabica L.), the caturra variety were cultivated and three treatments with three repetitions each one for mineral and organic fertilization were used with doses that ranged from: mineral low (MIN 1= 157 Kg NPK ha-1 año-1 for the first year y 425 Kg NPK ha-1 año-1 for the second year), mineral medium (MIN 2= 325 Kg NPK ha-1 año-1 for the first year y 650 Kg NPK ha-1 año-1 I the second year) y mineral high (MIN 3= 487 y 875 Kg NPK ha-1 año-1 for the first and second year respectively), organic low (ORG 1= 147 Kg NPK ha-1 año-1 in the first year y 388 Kg NPK ha-1 año-1 in the second year), organics medium (ORG 2= 265 Kg NPK ha-1 año-1 for the first year y 541 Kg NPK ha-1 año-1 in the second year), organics high (ORG 3= 368 Kg NPK ha-1 año-1 for the first year and 727 Kg NPK ha-1 año-1 in the second year) y fertilization zero (TES = no fertilization).; urea, phosphoric rock and muriate of potash were used in the mineral fertilization and humus (Bioabor) in the organic, plus a blank treatment. Time to evaluate the applied fertilizers was for two consecutive years, fertilization was done twice per year based on soil analysis and nutritional requirements of the crops. In order to determine the characteristics of the soil, samples of soil in each plot with a depth of 20 cm were done; from these samples, the determined initial parameters were: color (Munsell), texture (hydrometer method), pH (soil-water 1:2,5 relation), organic matter (Walkey y Black), nitrogen (Micro Kjendahl), phosphorus (Bray y Kurtz), potassium (Olsen); these processes were repeated each six months in order to evaluate the changes that are produced due to mineral and organic fertilization in the crops. The emissions of greenhouse gasses from the soil to the atmosphere were determined by using enclosure method (Rondón, 2000) and the concentration, by using gas chromatography during the whole testing. The physiological measures (plant height, width of the top of the tree, thickness of the stem and production) were evaluated each two months, except for production which was annual at the end of each harvest. Moreover, the economic analysis of the productivity of the crops was done. The statistical analysis of the data was done using SPSS v. 17.0. The means were proved by ANOVAS with a factor of a Tukey test (P < 0,05). The economic benefit was estimated in terms of incomes and total expenses which were presented in the essay. The results obtained at the end of the essay show that the MIN 2 and MIN 3 treatments produced more meaningful changes in comparison with the other treatments used to improve soil fertility; pH was less affected in the acidification compared with the organic treatments which were greatly acidified; organic matter (MO) had increased considerably in these two treatments; however, they were surpassed by the organic treatments of fertilization; total nitrogen (Nt) and potassium (K) also presented better results at the end of the essay and phosphorus (P) showed good increasing figures although a little lower compared with ORG 2 and ORG 3 treatments. Regarding the emission of the greenhouse gasses, the fluxes accumulated from nitrous oxide (N2O) in two years increased in all the treatments in comparison with the blank treatment, but in a greater form and with higher fluxes in the MIN 3 and MIN 2 treatments which can be considered as the ones with greater contamination of N2O in the atmosphere, this can be due to the applied mineral doses to fertilize during the process; MIN 1 treatments and all the organic ones showed lower emission to the atmosphere. Methane emissions (CH4) did not show major differences in emissions in the treatments, being the greater emissions the ORG 3 and ORG 2 treatments; this is possibly due to the organic compost added to the soil; regarding carbon dioxide (CO2) emissions, in a similar way to CH4, the ORG 3 treatment was the one that presented greater emissions, the CO2 emissions to the atmosphere in the other treatments were lower and did not present meaningful differences among them. The physiological variables in all the cases helped coffee crops grow, this was observed when compared with the blank treatment; however, plants that reached the greatest height, width of top and diameter of stem were the plants of the MIN 3 treatment, followed by MIN 3, which did not show much significance among them, and for the organic treatments, the one that presented great results in these variables was ORG 3, which did not show meaningful differences compared with MIN 2, which proves that mineral fertilization is more effective in this case compared with the organic. In the first year of production, the mineral treatment with MIN 3 fertilization obtained greater production and thus did not show statistical difference with MIN 2 treatment, although the other treatments were greater. It is worth mentioning that MIN 1 treatment and ORG 3 treatment presented a meaningful production of coffee, not showing statistical differences among them. For the second year, the production of the crops showed greater profits than in the first year of evaluation in all the treatments, this was due to the physiological properties of the crops and on the other hand, it might be due to the addition of fertilizers during the whole essay; in a similar way, MIN 3 and MIN 2 performed better, not showing greater statistical differences among them, although the mineral treatment MEDIUM doses did not show statistical difference compared with ORG 3. The economic benefit was greater in the MIN 3 and MIN 2 treatments, although MIN 2 treatment is the one that shows the best cost-benefit ratios; ORG 2 and ORG 3 treatments and the blank produced negative benefits for the producer. Regarding the environment, the best treatments to care for the atmosphere are considered to be MIN 1 and ORG 1 treatments; however, regarding production volume and profitability they were low for the producer.
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El objetivo principal de este proyecto ha sido introducir aprendizaje automático en la aplicación FleSe. FleSe es una aplicación web que permite realizar consultas borrosas sobre bases de datos nítidos. Para llevar a cabo esta función la aplicación utiliza unos criterios para definir los conceptos borrosos usados para llevar a cabo las consultas. FleSe además permite que el usuario cambie estas personalizaciones. Es aquí donde introduciremos el aprendizaje automático, de tal manera que los criterios por defecto cambien y aprendan en función de las personalizaciones que van realizando los usuarios. Los objetivos secundarios han sido familiarizarse con el desarrollo y diseño web, al igual que recordar y ampliar el conocimiento sobre lógica borrosa y el lenguaje de programación lógica Ciao-Prolog. A lo largo de la realización del proyecto y sobre todo después del estudio de los resultados se demuestra que la agrupación de los usuarios marca la diferencia con la última versión de la aplicación. Esto se basa en la siguiente idea, podemos usar un algoritmo de aprendizaje automático sobre las personalizaciones de los criterios de todos los usuarios, pero la gran diversidad de opiniones de los usuarios puede llevar al algoritmo a concluir criterios erróneos o no representativos. Para solucionar este problema agrupamos a los usuarios intentando que cada grupo tengan la misma opinión o mismo criterio sobre el concepto. Y después de haber realizado las agrupaciones usar el algoritmo de aprendizaje automático para precisar el criterio por defecto de cada grupo de usuarios. Como posibles mejoras para futuras versiones de la aplicación FleSe sería un mejor control y manejo del ejecutable plserver. Este archivo se encarga de permitir a la aplicación web usar el lenguaje de programación lógica Ciao-Prolog para llevar a cabo la lógica borrosa relacionada con las consultas. Uno de los problemas más importantes que ofrece plserver es que bloquea el hilo de ejecución al intentar cargar un archivo con errores y en caso de ocurrir repetidas veces bloquea todas las peticiones siguientes bloqueando la aplicación. Pensando en los usuarios y posibles clientes, sería también importante permitir que FleSe trabajase con bases de datos de SQL en vez de almacenar la base de datos en los archivos de Prolog. Otra posible mejora basarse en distintas características a la hora de agrupar los usuarios dependiendo de los conceptos borrosos que se van ha utilizar en las consultas. Con esto se conseguiría que para cada concepto borroso, se generasen distintos grupos de usuarios, los cuales tendrían opiniones distintas sobre el concepto en cuestión. Así se generarían criterios por defecto más precisos para cada usuario y cada concepto borroso.---ABSTRACT---The main objective of this project has been to introduce machine learning in the application FleSe. FleSe is a web application that makes fuzzy queries over databases with precise information, using defined criteria to define the fuzzy concepts used by the queries. The application allows the users to change and custom these criteria. On this point is where the machine learning would be introduced, so FleSe learn from every new user customization of the criteria in order to generate a new default value of it. The secondary objectives of this project were get familiar with web development and web design in order to understand the how the application works, as well as refresh and improve the knowledge about fuzzy logic and logic programing. During the realization of the project and after the study of the results, I realized that clustering the users in different groups makes the difference between this new version of the application and the previous. This conclusion follows the next idea, we can use an algorithm to introduce machine learning over the criteria that people have, but the problem is the diversity of opinions and judgements that exists, making impossible to generate a unique correct criteria for all the users. In order to solve this problem, before using the machine learning methods, we cluster the users in order to make groups that have the same opinion, and afterwards, use the machine learning methods to precise the default criteria of each users group. The future improvements that could be important for the next versions of FleSe will be to control better the behaviour of the plserver file, that cost many troubles at the beginning of this project and it also generate important errors in the previous version. The file plserver allows the web application to use Ciao-Prolog, a logic programming language that control and manage all the fuzzy logic. One of the main problems with plserver is that when the user uploads a file with errors, it will block the thread and when this happens multiple times it will start blocking all the requests. Oriented to the customer, would be important as well to allow FleSe to manage and work with SQL databases instead of store the data in the Prolog files. Another possible improvement would that the cluster algorithm would be based on different criteria depending on the fuzzy concepts that the selected Prolog file have. This will generate more meaningful clusters, and therefore, the default criteria offered to the users will be more precise.
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Recently, cryoelectron microscopy of isolated macromolecular complexes has advanced to resolutions below 10 Å, enabling direct visualization of α-helical secondary structure. To help correlate such density maps with the amino acid sequences of the component proteins, we advocate peptide-based difference mapping, i.e., insertion of peptides, ≈10 residues long, at targeted points in the sequence and visualization of these peptides as bulk labels in cryoelectron microscopy-derived difference maps. As proof of principle, we have appended an extraneous octapeptide at the N terminus of hepatitis B virus capsid protein and determined its location on the capsid surface by difference imaging at 11 Å resolution. Hepatitis B virus capsids are icosahedral particles, ≈300 Å in diameter, made up of T-shaped dimers (subunit Mr, 16–21 kDa, depending on construct). The stems of the Ts protrude outward as spikes, whereas the crosspieces pack to form the contiguous shell. The two N termini per dimer reside on either side of the spike-stem, at the level at which it enters the shell. This location is consistent with formation of the known intramolecular disulfide bond between the cysteines at positions 61 and −7 (in the residual propeptide) in the “e-antigen” form of the capsid protein and has implications for why this clinically important antigen remains unassembled in vivo.