The question is what Anne Frank remembered of that day two years later, when she worked on Het Achterhuis. If she really had seen the workers? Either way, the rewritten version is much more evocative.
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There are numerous differences like these between Anne's original text and her rewritten version, especially when it comes to the first six months in hiding, from July to December 1942. 15-year-old Anne made many changes to the letters from this period. By the spring of 1944, the thirteen-year-old girl with the diary had grown into a real writer.
Id. 860 ("(a) Any person who violates section 841(a)(1) of this title ... by distributing, possessing with intent to distribute, or manufacturing a controlled substance in or on, or within one thousand feet of, the real property comprising a public or private elementary, vocational, or secondary school or a public or private college, junior college, or university, or a playground, or housing facility owned by a public housing authority, or within 100 feet of a public or private youth center, public swimming pool, or video arcade facility, is (except as provided in subsection (b) of this section) subject to.... Except to the extent a greater minimum sentence is otherwise provided by section 841(b) of this title, a person shall be sentenced under this subsection to a term of imprisonment of not less than one year. The mandatory minimum sentencing provisions of this paragraph shall not apply to offenses involving 5 grams or less of marihuana. (b) Any person who violates section 841(a)(1) of this title by distributing, possessing with intent to distribute, or manufacturing a controlled substance in or on, or within one thousand feet of, ... or within 100 feet of a public or private youth center, public swimming pool, or video arcade facility, after a prior conviction under subsection (a) of this section has become final is punishable.... Except to the extent a greater minimum sentence is otherwise provided by section 841(b) of this title, a person shall be sentenced under this subsection to a term of imprisonment of not less than three years.... ").
The fact that no (analytical) techniques exist that can measure solvent action (Fig. 1a) under realistic treatment conditions has seriously hampered quantitative studies on the influence of cleaning on oil paints. Moreover, some concessions generally need to be made by conservation scientists in the design of simulated cleaning treatment experiments. For example, an important factor in cleaning research is the choice between using model systems and real paintings for experiments. This decision may depend on the analytical methods and sample size, among other things, and is intimately related to the challenge of balancing the theoretical relevance (e.g. reproducibility) of the cleaning experiment and the practical relevance of the cleaning treatment. For example, the use of long immersion times for leaching studies may yield highly accurate data on extractables, but the results may be less easily translated into conservation strategies because of the short contact times encountered in cleaning practice. Finding the optimal balance between theoretical and practical relevance of cleaning experiments has led to many discussions [24,25,26,27]. We will attempt to highlight the practical relevance of the literature discussed throughout this review.
However, leaching also occurs with short exposure times and in real paintings. Sutherland used GC/MS to compare the amount of leachable material between mechanically cleaned samples and samples cleaned with solvents using cotton swabs [135]. In most cases, a small but measurable proportion of soluble fatty acids was removed from the paint due to the swabbing with solvent [135]. Realistic solvent exposure times were also studied by Zumbühl, who investigated leaching in model paints using immersion times of 5, 10, 20 and 30 s [107]. It was concluded that with short interaction times, solvents with lower vapour pressure leached less material than solvents with a high vapour pressure [107]. The rationalisation given by Zumbühl using the vapour pressure on the leaching rate is problematic, as it confuses equilibrium thermodynamic effects with kinetic effects. Conducting experiments relating solvent vapour pressure to the rate of solvent diffusion, swelling, evaporation and dissolution are needed to investigate this effect.
Although these assumption have not been thoroughly investigated, recent studies suggest that there is indeed a correlation between degree of carboxylic acid formation [32] within the network and an increased amount and polarity of extracted species [149]. Nevertheless, it is important to realise that the information on the network structure from leaching experiments is obtained indirectly and may not reflect the combined influence of solvent action on the remaining polymerised oil network.
To advance our understanding of solvent action on the molecular level, analytical methods that can monitor the possible changes in chemical composition of an oil paint upon solvent exposure are required. Ideally, one would combine quantitative and spatially-resolved information on solvent transport with chemical information on reactivity. Such an experiment may be possible with time-dependent FTIR imaging in transmission mode, where both solvents and potential degradation products are measured quantitatively and spatially-resolved. In order to integrate forthcoming cleaning research more closely into conservation practice, the focus should be on developing methods to monitor cleaning action in real time. To enable a comparison of cleaning methods or solvents on real paintings, these methods should be quantitative, portable and able to deal with heterogeneous paint surfaces. In addition, the instrumentation should feature an intuitive interface and should be easy to operate for conservators. Lastly but very importantly, data processing and interpretation should be fast (preferably on-the-fly) and should not require a software programming background. As an example, FT-LSI was presented as a powerful, quantitative and portable imaging technique for the study of solvent retention during oil paint cleaning and showed its potential for future use in the conservation studio.
Meshes coming from the real world are rarely clean. Artifacts such asdegeneracies, duplicate vertex/triangles and self-intersections are rampant (Seethe about page in our Thingi10K dataset). Unfortunately, many geometryprocessing operations have strict and often unspecified requirements on thecleanness of the input geometry. Here, we provide a number of handy routines tofacilitate the task of cleaning up a mesh.
Harry is struggling in his classic literature class, so his professor recommends that his TA tutors him for a bit. Even worse when that TA is Louis Tomlinson, the cute (fem)boy who made him realize he was gay.
Integer giving the total number of bytes required to load the full dataset into RAM (i.e. dset[()]).This may not be the amount of disk space occupied by the dataset,as datasets may be compressed when written or only partly filled with data.This value also does not include the array overhead, as it only describes the size of the data itself.Thus the real amount of RAM occupied by this dataset may be slightly greater.
An extra check before fitting is run to make sure the guesses areall within the specified limits. May be slow, so it is off bydefault. It also should not be necessary, since careful checkingis performed before each fit.
Make plots of the cube and interactively connect them to spectrum plotting.This is really an interactive component of the package; nothing in here ismeant for publication-quality plots, but more for user interactive analysis. 2ff7e9595c
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