883 resultados para paint packages


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El carácter de la heterogeneidad social, económica y productiva de la agriculturización se evidencia en los diversos tipos de productores existentes en la pampa húmeda. La agriculturización se asocia a modificaciones en la calidad de las tierras, en la estructura socio-productiva, en las estrategias productivas aplicadas y en las formas de uso del suelo. Suele plantearse sin embargo que las problemáticas edáficas asociadas a dicha agriculturización, son consecuencia de la aplicación de paquetes tecnológicos relativamente homogéneos, independientemente de los diferentes tipos de productores que los llevan a cabo. Nuestra hipótesis consiste en cambio, en que el deterioro en Argiudoles típicos pampeanos es el resultado, dadas distintas posiciones del relieve, de complejas combinaciones de diversas estrategias productivas adoptadas por diferentes tipos de productores. En el partido de Luján tipificamos los productores tomando en consideración sus niveles de capitalización (capitalizados y no capitalizados) y su organización del trabajo (familiar y no familiar). Definimos cinco estrategias productivas (4 agrícolas -con uno o dos cultivos por año, con siembra directa o labranza convencional- y 1 ganadera) y dos ambientes (loma y bajo). A partir del catastro municipal aplicamos una encuesta a una muestra estratificada estadísticamente representativa, por ubicación y tamaño de lotes. Sobre la misma realizamos el muestreo que nos permitió analizar los siguientes parámetros: profundidad del horizonte, densidad aparente, materia orgánica, acidez, nitrógeno, fósforo, potasio. Calculamos el contenido de materia orgánica y de nitrógeno por hectárea, y el deterioro relativo. Realizamos test de hipótesis de comparación de medias, prueba F y prueba t; y, calculamos finalmente los deterioros relativos. Utilizamos como indicador el contenido de materia orgánica por hectárea, dada su mayor sensibilidad a los cambios en las condiciones del suelo. Dos de nuestros principales hallazgos nos indican, en primer lugar, que al cultivar en lomas y con siembra directa, todos los tipos de productores presentaron los valores más bajos de deterioro relativo, excepto los familiares no capitalizados que obtienen los menores deterioros relativos con labranza convencional, aún en los bajos. Estos productores utilizan la ganadería en rotación con los cultivos como táctica de cuidado del suelo. Los empresarios capitalizados presentan los mayores valores de deterioro relativo en los bajos. Los familiares presentan menores pérdidas, cuando son capitalizados logran las mejores situaciones relativas al aplicar siembra directa en los bajos. En segundo lugar, ninguna dimensión -tipo de productor, estrategias productivas, ambientes- analizada aisladamente determina el deterioro relativo de los suelos. Pero, al mismo tiempo, ninguno puede ser descartado sino que debería ser incluido en una combinación que integre las condiciones de ambiente y las estrategias productivas de los diferentes tipos de productores que manejan los suelos.

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In this work five different ways of intervention, strategically articulated, on the social world, are established. And it includes two approaches regarding the realm of knowledge and that of social change. In the second approach, five basic categories are proposed: society, State, economy, poverty and power, which work as basic a framework understand society and to serve as an orientation to carry out the necessary change. This approach to fundamental problems in our society can be applied both to world order conflicts as well as to regional and local ones. The five-fold way embodies the set of strategic packages that make it possible to understand social life and to transform it.

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El carácter de la heterogeneidad social, económica y productiva de la agriculturización se evidencia en los diversos tipos de productores existentes en la pampa húmeda. La agriculturización se asocia a modificaciones en la calidad de las tierras, en la estructura socio-productiva, en las estrategias productivas aplicadas y en las formas de uso del suelo. Suele plantearse sin embargo que las problemáticas edáficas asociadas a dicha agriculturización, son consecuencia de la aplicación de paquetes tecnológicos relativamente homogéneos, independientemente de los diferentes tipos de productores que los llevan a cabo. Nuestra hipótesis consiste en cambio, en que el deterioro en Argiudoles típicos pampeanos es el resultado, dadas distintas posiciones del relieve, de complejas combinaciones de diversas estrategias productivas adoptadas por diferentes tipos de productores. En el partido de Luján tipificamos los productores tomando en consideración sus niveles de capitalización (capitalizados y no capitalizados) y su organización del trabajo (familiar y no familiar). Definimos cinco estrategias productivas (4 agrícolas -con uno o dos cultivos por año, con siembra directa o labranza convencional- y 1 ganadera) y dos ambientes (loma y bajo). A partir del catastro municipal aplicamos una encuesta a una muestra estratificada estadísticamente representativa, por ubicación y tamaño de lotes. Sobre la misma realizamos el muestreo que nos permitió analizar los siguientes parámetros: profundidad del horizonte, densidad aparente, materia orgánica, acidez, nitrógeno, fósforo, potasio. Calculamos el contenido de materia orgánica y de nitrógeno por hectárea, y el deterioro relativo. Realizamos test de hipótesis de comparación de medias, prueba F y prueba t; y, calculamos finalmente los deterioros relativos. Utilizamos como indicador el contenido de materia orgánica por hectárea, dada su mayor sensibilidad a los cambios en las condiciones del suelo. Dos de nuestros principales hallazgos nos indican, en primer lugar, que al cultivar en lomas y con siembra directa, todos los tipos de productores presentaron los valores más bajos de deterioro relativo, excepto los familiares no capitalizados que obtienen los menores deterioros relativos con labranza convencional, aún en los bajos. Estos productores utilizan la ganadería en rotación con los cultivos como táctica de cuidado del suelo. Los empresarios capitalizados presentan los mayores valores de deterioro relativo en los bajos. Los familiares presentan menores pérdidas, cuando son capitalizados logran las mejores situaciones relativas al aplicar siembra directa en los bajos. En segundo lugar, ninguna dimensión -tipo de productor, estrategias productivas, ambientes- analizada aisladamente determina el deterioro relativo de los suelos. Pero, al mismo tiempo, ninguno puede ser descartado sino que debería ser incluido en una combinación que integre las condiciones de ambiente y las estrategias productivas de los diferentes tipos de productores que manejan los suelos.

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In this work five different ways of intervention, strategically articulated, on the social world, are established. And it includes two approaches regarding the realm of knowledge and that of social change. In the second approach, five basic categories are proposed: society, State, economy, poverty and power, which work as basic a framework understand society and to serve as an orientation to carry out the necessary change. This approach to fundamental problems in our society can be applied both to world order conflicts as well as to regional and local ones. The five-fold way embodies the set of strategic packages that make it possible to understand social life and to transform it.

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We have performed U-Th isotope analyses on pure aragonite samples from the upper sections of Leg 166 cores to assign each aragonite-rich sediment package to the correct sea-level highstand. The uppermost sediment package from each of the four sites investigated (Sites 1003, 1005, 1006, and 1007) yielded a Holocene U-Th age. Sediment packages from deeper in the cores have suffered diagenesis. This diagenesis consists of significant U loss (up to 40%) in the site nearest the platform (Site 1005), slight U gain in sites further from the platform, and continuous loss of pure 234U caused by alpha recoil at all sites. The difference in diagenesis between the sites can be explained by the different fluid-flow histories they have experienced. Site 1005 is sufficiently close to the platform to have probably experienced a change in flow direction whenever the banks have flooded or become exposed. Other sites have probably experienced continuous flow into the sediment. Although diagenesis prevents assignment of accurate ages, it is sufficiently systematic that it can be corrected for and each aragonite-rich package assigned to a unique highstand interval. Site 1005 has sediment packages from highstands associated with marine isotope Stages 1, 5, 7, 9, and 11. Site 1006 is similar, except that the Stage 7 highstand is missing, at least in Hole 1006A. Site 1003 has sediment only from Stage 1 and 11 highstands within the U-Th age range. And Site 1007 has sediment only from the stage 1 highstand. This information will allow the construction of better age models for these sites. No high-aragonite sediments are seen for Stage 3 or Substages 5a and 5c. Unless rather unusual erosion has occurred, this indicates that the banks did not flood during these periods. If true, this would require the sea level for Substages 5a and 5c to have remained at least ~10 m lower than today.

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The SES_GR2_MICROBIAL PARAMETERS dataset is based on samples collected in the framework of the project SESAME, in the Ionian, Libyan and Aegean Sea during August-September 2008. The objectives were to measure the standing stocks and calculate the production of the microbial compartment of the food web, describe the vertical distribution pattern and characterize its structure and function through the water column. Subsamples for virus, heterotrophic bacteria and cyanobacteria (Synechococcus spp. and Prochlorococcus spp.) counting were analyzed using a FACSCalibur (Becton Dickinson) flow cytometer equipped with a standard laser (488 nm) and filter set and using deionized water as sheath fluid. Fluorescent beads with a diameter of 0.97 ?m (Polysciences) were added to each sample as an internal standard, and all parameters were normalized to the beads and expressed as relative units. SYBRGreen I stain (Molecular Probe) was used to stain viral and heterotrophic bacterial DNA. Viruses were counted according to (Brussaard 1984). In order to avoid bulk consentrations of viruses samples we dilluted to Tris-EDTA (pH=8,0) buffer to a final sollution of 1/5 to 1/100. Total abundance and nucleid content classes were calculated using the Paint-A-Gate software (Becton Dickinson).

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The HCMR_SES_LAGRANGIAN_GR2_ MICROBIAL PARAMETERS dataset is based on samples collected in the framework of the project SESAME, in the North Aegean Sea during October 2008. The objectives were to measure the standing stocks and calculate the production of the microbial compartment of the food web, describe the vertical distribution pattern and characterize its structure and function through the water column as influenced by the BSW. Heterotrophic bacteria, Synechococcus, Prochlorococcus and Virus abundance: Subsamples for virus, heterotrophic bacteria and cyanobacteria (Synechococcus spp. and Prochlorococcus spp.) counting were analyzed using a FACSCalibur (Becton Dickinson) flow cytometer equipped with a standard laser (488 nm) and filter set and using deionized water as sheath fluid. Fluorescent beads with a diameter of 0.97 µm (Polysciences) were added to each sample as an internal standard, and all parameters were normalized to the beads and expressed as relative units. SYBRGreen I stain (Molecular Probe) was used to stain viral and heterotrophic bacterial DNA. Viruses were counted according to (Brussaard 1984). In order to avoid bulk consentrations of viruses samples we dilluted to Tris-EDTA (pH=8,0) buffer to a final sollution of 1/5 to 1/100. Total abundance and nucleid content classes were calculated using the Paint-A-Gate software (Becton Dickinson). Heterotrophic Nanoflagellate abundance: Subsamples (30-150 ml) were concentrated on 25mm black polycarbonate filters of porosity 0.6?m and stained with DAPI for 10 min (Porter and Feig 1980). Under epifluorescence microscopy heterotrophic nanoflagellates (HNAN) were distinguished using UV and blue excitation and enumerated. Nanoflagellates were classified in size categories and the biovolume was calculated. Ciliate abundance: For ciliate identification and enumeration, 100-3000 ml samples were left for 24h-4d for sedimentation and then observed under an inverted microscope. Ciliates were counted, distinguished into size-classes and major taxonomic groups and identified down to genus or species level where possible (Pitta et al. 2005). Heterotrophic bacteria, Synechococcus, Prochlorococcus bacteria: Subsamples for virus, heterotrophic bacteria and cyanobacteria (Synechococcus spp. and Prochlorococcus spp.) counting were analyzed using a FACSCalibur (Becton Dickinson) flow cytometer equipped with a standard laser (488 nm) and filter set and using deionized water as sheath fluid. Fluorescent beads with a diameter of 0.97 µm (Polysciences) were added to each sample as an internal standard, and all parameters were normalized to the beads and expressed as relative units. SYBRGreen I stain (Molecular Probe) was used to stain viral and heterotrophic bacterial DNA. Viruses were counted according to (Brussaard 1984). In order to avoid bulk consentrations of viruses samples we dilluted to Tris-EDTA (pH=8,0) buffer to a final sollution of 1/5 to 1/100. Total abundance and nucleid content classes were calculated using the Paint-A-Gate software (Becton Dickinson). Abundance data were converted into C biomass using 250 fgC cell-1 (Kana & Glibert 1987) for Synechococcus, 50 fgC cell-1 (Campbell et al. 1994) for Prochlorococcus and 20fgC cell-1 (Lee & Fuhrman 1987) for heterotrophic bacteria. Heterotrophic Nanoflagellate biomass: Subsamples (30-150 ml) were concentrated on 25mm black polycarbonate filters of porosity 0.6µm and stained with DAPI for 10 min (Porter and Feig 1980). Under epifluorescence microscopy heterotrophic nanoflagellates (HNAN) were distinguished using UV and blue excitation and enumerated. Nanoflagellates were classified in size categories and the biovolume was calculated. Abundance data were converted into C biomass using 183 fgC µm**3 (Caron et al. 1995). Ciliate biomass: For ciliate identification and enumeration, 100-3000 ml samples were left for 24h-4d for sedimentation and then observed under an inverted microscope. Ciliates were counted, distinguished into size-classes and major taxonomic groups and identified down to genus or species level where possible (Pitta et al. 2005). Ciliate cell sizes were measured and converted into cell volumes using appropriate geometric formulae using image analysis. For biomass estimation, the conversion factor 190 fgC µm**3 was used (Putt and Stoecker 1989).

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The Imbrie and Kipp transfer function method (IKM) and the modern analog technique (MAT) are accepted tools for quantitative paleoenvironmental reconstructions. However, no uncomplicated, flexible software has been available to apply these methods on modern computer devices. For this reason the software packages PaleoToolBox, MacTransfer, WinTransfer, MacMAT, and PanPlot have been developed. The PaleoToolBox package provides a flexible tool for the preprocessing of microfossil reference and downcore data as well as hydrographic reference parameters. It includes procedures to randomize the raw databases; to switch specific species in or out of the total species list; to establish individual ranking systems and their application on the reference and downcore databasessemi; and to convert the prepared databases into the file formats of IKM and MAT software for estimation of paleohydrographic parameters.

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The HCMR_SES_LAGRANGIAN_GR1_ MICROBIAL PARAMETERS dataset is based on samples collected in the framework of the project SESAME, in the North Aegean Sea during April 2008. The objectives were to measure the standing stocks and calculate the production of the microbial compartment of the food web, describe the vertical distribution pattern and characterize its structure and function through the water column as influenced by the BSW. Heterotrophic bacteria, Synechococcus, Prochlorococcus and Virus abundance: Subsamples for virus, heterotrophic bacteria and cyanobacteria (Synechococcus spp. and Prochlorococcus spp.) counting were analyzed using a FACSCalibur (Becton Dickinson) flow cytometer equipped with a standard laser (488 nm) and filter set and using deionized water as sheath fluid. Fluorescent beads with a diameter of 0.97 µm (Polysciences) were added to each sample as an internal standard, and all parameters were normalized to the beads and expressed as relative units. SYBRGreen I stain (Molecular Probe) was used to stain viral and heterotrophic bacterial DNA. Viruses were counted according to (Brussaard 1984). In order to avoid bulk consentrations of viruses samples we dilluted to Tris-EDTA (pH=8,0) buffer to a final sollution of 1/5 to 1/100. Total abundance and nucleid content classes were calculated using the Paint-A-Gate software (Becton Dickinson). Heterotrophic Nanoflagellate abundance: Subsamples (30-150 ml) were concentrated on 25mm black polycarbonate filters of porosity 0.6µm and stained with DAPI for 10 min (Porter and Feig 1980). Under epifluorescence microscopy heterotrophic nanoflagellates (HNAN) were distinguished using UV and blue excitation and enumerated. Nanoflagellates were classified in size categories and the biovolume was calculated. Ciliate abundance: For ciliate identification and enumeration, 100-3000 ml samples were left for 24h-4d for sedimentation and then observed under an inverted microscope. Ciliates were counted, distinguished into size-classes and major taxonomic groups and identified down to genus or species level where possible (Pitta et al. 2005). Heterotrophic bacteria, Synechococcus, Prochlorococcus biomass: Subsamples for virus, heterotrophic bacteria and cyanobacteria (Synechococcus spp. and Prochlorococcus spp.) counting were analyzed using a FACSCalibur (Becton Dickinson) flow cytometer equipped with a standard laser (488 nm) and filter set and using deionized water as sheath fluid. Fluorescent beads with a diameter of 0.97 µm (Polysciences) were added to each sample as an internal standard, and all parameters were normalized to the beads and expressed as relative units. SYBRGreen I stain (Molecular Probe) was used to stain viral and heterotrophic bacterial DNA. Viruses were counted according to (Brussaard 1984). In order to avoid bulk consentrations of viruses samples we dilluted to Tris-EDTA (pH=8,0) buffer to a final sollution of 1/5 to 1/100. Total abundance and nucleid content classes were calculated using the Paint-A-Gate software (Becton Dickinson). Abundance data were converted into C biomass using 250 fgC cell-1 (Kana & Glibert 1987) for Synechococcus, 50 fgC cell-1 (Campbell et al. 1994) for Prochlorococcus and 20fgC cell-1 (Lee & Fuhrman 1987) for heterotrophic bacteria. Heterotrophic Nanoflagellate biomass: Subsamples (30-150 ml) were concentrated on 25mm black polycarbonate filters of porosity 0.6µm and stained with DAPI for 10 min (Porter and Feig 1980). Under epifluorescence microscopy heterotrophic nanoflagellates (HNAN) were distinguished using UV and blue excitation and enumerated. Nanoflagellates were classified in size categories and the biovolume was calculated. Abundance data were converted into C biomass using 183 fgC µm**3 (Caron et al. 1995). Ciliate biomass: For ciliate identification and enumeration, 100-3000 ml samples were left for 24h-4d for sedimentation and then observed under an inverted microscope. Ciliates were counted, distinguished into size-classes and major taxonomic groups and identified down to genus or species level where possible (Pitta et al. 2005). Ciliate cell sizes were measured and converted into cell volumes using appropriate geometric formulae using image analysis. For biomass estimation, the conversion factor 190 fgC µm**3 was used (Putt and Stoecker 1989).

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DNA extraction was carried out as described on the MICROBIS project pages (http://icomm.mbl.edu/microbis ) using a commercially available extraction kit. We amplified the hypervariable regions V4-V6 of archaeal and bacterial 16S rRNA genes using PCR and several sets of forward and reverse primers (http://vamps.mbl.edu/resources/primers.php). Massively parallel tag sequencing of the PCR products was carried out on a 454 Life Sciences GS FLX sequencer at Marine Biological Laboratory, Woods Hole, MA, following the same experimental conditions for all samples. Sequence reads were submitted to a rigorous quality control procedure based on mothur v30 (doi:10.1128/AEM.01541-09) including denoising of the flow grams using an algorithm based on PyroNoise (doi:10.1038/nmeth.1361), removal of PCR errors and a chimera check using uchime (doi:10.1093/bioinformatics/btr381). The reads were taxonomically assigned according to the SILVA taxonomy (SSURef v119, 07-2014; doi:10.1093/nar/gks1219) implemented in mothur and clustered at 98% ribosomal RNA gene V4-V6 sequence identity. V4-V6 amplicon sequence abundance tables were standardized to account for unequal sampling effort using 1000 (Archaea) and 2300 (Bacteria) randomly chosen sequences without replacement using mothur and then used to calculate inverse Simpson diversity indices and Chao1 richness (doi:10.2307/4615964). Bray-Curtis dissimilarities (doi:10.2307/1942268) between all samples were calculated and used for 2-dimensional non metric multidimensional scaling (NMDS) ordinations with 20 random starts (doi:10.1007/BF02289694). Stress values below 0.2 indicated that the multidimensional dataset was well represented by the 2D ordination. NMDS ordinations were compared and tested using Procrustes correlation analysis (doi:10.1007/BF02291478). All analyses were carried out with the R statistical environment and the packages vegan (available at: http://cran.r-project.org/package=vegan), labdsv (available at: http://cran.r-project.org/package=labdsv), as well as with custom R scripts. Operational taxonomic units at 98% sequence identity (OTU0.03) that occurred only once in the whole dataset were termed absolute single sequence OTUs (SSOabs; doi:10.1038/ismej.2011.132). OTU0.03 sequences that occurred only once in at least one sample, but may occur more often in other samples were termed relative single sequence OTUs (SSOrel). SSOrel are particularly interesting for community ecology, since they comprise rare organisms that might become abundant when conditions change.16S rRNA amplicons and metagenomic reads have been stored in the sequence read archive under SRA project accession number SRP042162.

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A new package called adolist is presented. adolist is a tool to create, install, and uninstall lists of user ado-packages (“adolists”). For example, adolist can create a list of all user packages installed on a system and then install the same packages on another system. Moreover, ado-list can be used to put together thematic lists of packages such as, say, a list on income inequality analysis or time-series add-ons, or the list of “41 user ados everyone should know”. Such lists can then be shared with others, who can easily install and uninstall the listed packages using the adolist command.

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A new command called adolist is presented. adolist is a tool to create, install, and uninstall lists of user ado-packages (“adolists”). For example, adolist can create a list of all user packages installed on a system and then install the same packages on another system. Moreover, ado-list can be used to put together thematic lists of packages such as, say, a list on income inequality analysis or time-series add-ons, or the list of “41 user ados everyone should know”. Such lists can then be shared with others, who can easily install and uninstall the listed packages using the adolist command.

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Introduction: During the period from the latter half of the 1980s until just before the Asian currency crisis in 1997, Indonesia’s economic development had drawn expectations and attention from various quarters, along with Malaysia and Thailand within the same Association of Southeast Asian Nations (ASEAN). In fact, the 1993 report by the World Bank, entitled “East Asian Miracle: Economic Growth and Public Policy,” recognized Indonesia as one of the East Asian economies with the strong economic performance, i.e. sustained economic growth (World Bank [1993]). And it was the manufacturing industry that had been the driving force behind Indonesia’s economic growth during that period. Since the 1997 outbreak of the Asian currency crisis, however, the manufacturing sector in Indonesia has been mired in a situation that rules out the kind of bright prospects it had emanated previously. The Indonesian economy is still in the developing stage, and in accordance with the history of industrial structural changes in other countries, Indonesia’s manufacturing industry can still be expected to serve as the engine of the country’s economic development. But is it really possible in an environment where economic liberalization and globalization are forging ahead? And, what sort of problems have to be dealt with to make it possible? To answer these questions, it is necessary to know the current conditions of Indonesia’s manufacturing sector, and to do that, it becomes important to think back on the history of the country’s industrialization. Thus, this paper is intended to retrace and unlock the track of Indonesia’s industrialization up until the establishment of the manufacturing sector in its present form, with the ultimate goal being to give answers to the above-mentioned questions. Subject to an analysis in this paper is the period from the installment of President Soeharto’s administration onward when industrialization of the modern industrial sector2 moved into high gear.    The composition of this paper is outlined below. Section 1 first shows why it is important to examine import substitution and export orientation, both of which are used as the measures of the analysis in this paper, in tracking the history of the industrialization, and then discuss indicators of import substitution and export orientation as well as statistical data and resources needed to develop those indicators. Section 2 clarifies the status of the manufacturing industry among all industries by looking at the composition ratio of the manufacturing industry in terms of value added, imports and exports. Section 3 to 5 cover three periods between 1971 and 1995 and make an analysis of import substitution, export orientation and changes in the industrial structure for each period. Section 3 analyzes the period from 1971 through 1985, when Indonesia pursued the import substitution policy amid the oil boom. Section 4 covers the period from 1985 through 1990, when the packages of deregulatory measures were announced successively under structural adjustment policies made necessary by the fall in oil prices. Section 5 examines the period from 1990 through 1995, which saw the alternate shifts between the overheating of the economy by sharply rising investment by both domestic and foreign investors in the wake of the liberalization of investment, trade and financial services, and polices to cool down the economy. Section 6, which covers the 1995-1999 period straddling the economic crisis, is designed for an analysis of the changes in production trends before and after the economic crisis as well as the changes in the industrial structure. Section 7, after summing up the history of Indonesia’s industrialization examined in the previous sections, discusses problems found in respective sectors and attempts to present future prospects for the country’s manufacturing industry.

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The solaR package includes a set of functions to calculate the solar radiation incident on a photovoltaic generator and simulate the performance of several applications of the photovoltaic energy. This package performs the whole calculation procedure from both daily and intradaily global horizontal irradiation to the final productivity of grid connected PV systems and water pumping PV systems. The package stands on a set of S4 classes. The core of each class is a group of slots with yearly, monthly, daily and intradaily multivariate time series (with the zoo package ). The classes share a variety of methods to access the information (for example, as.zooD provides a zoo object with the daily multivariate time series of the corresponding object) and several visualisation methods based on the lattice andlatticeExtra packages.

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The problem is general: modern architects and engineers are trying to understand historic structures using the wrong theoretical frame, the classic (elastic) thery of structures developed in the 19th Century for iron and stell, and in the 20th century for reinforced concrete, disguised with "modern" computer packages, mainly FEM, but also others. Masonry is an essentially different material, and the structural equations must be adapted accordingly. It is not a matter of "taste" or "opinion", and the consequences are before us. Since, say 1920s, historic monuments have suffered the aggression of generations of archietcts and engineers, trying to transform masonry in reinfored concrete or steel. The damage to the monuments and the expense has been, and is, enormous. However, as we have an adequate theory (modern limit analysis of masonry structures, Heyman 1966) which encompasses the "old theory" used successfully by the 18th and 19th Century practical engineers (from Perronet to Sejourné), it is a matter of "Ethics" not to use the wrong approach. It is also "contra natura" to modify the material masonry with indiscriminate injections, stitchings, etc. It is insane to consider, suddenly, that buildings which are Centuries or milennia old, are suddenly in danger of collapse. Maintenance is necessary but not the actual destruction of the constructive essence of the monument. A cocktail of "ignorance, fear and greed" is acting under the best of intentions.