For a long time I tried to resist the temptation to switch to a madExcept subscription style license. But I finally have to give in now, because the number of license sales isn't as high as it used to be, while supporting and maintaining madExcept still requires the same amount of work as always.
Sartorius Data Analytics offers a number of stand-alone tools to preprocess certain application or instrument specific data formats. The following small programs are not part of the SIMCA® software nor validated as such. It is a free service for Sartorius Data Analytics customers that struggle with specific data handling issues. The following tools help to prepare data for an appropriate multivariate data analysis:
So, today we crack a nice easy key crackme. When you run the file from the console, it wants you type in a key. Enter a random key and you get the message "Wrong serial" followed by another try to enter a valid key. Also note that you you don't have to type in a name, just a key.
Open the file in Ollydbg, right-click in the main window and choose 'Search for' -> 'All referenced text strings'. In the new window which pops up double-click 'Key: ' cause after this string is printed to the console, you have to enter the key, so this should be the right place. You land at 4013C7. When you scroll some pages down. you see several checks and at 4015E1 the good 'Well done' message. Ok, seems to be the right place. So set a breakpoint, for example at 4013EA, run the crackme, enter a key and trace the code with F8. If you come to a condition your key doesn't fulfill, just re-run the crackme and enter a key that matches the condition.
Well, as the author states, there are a lot of keys which satisfy the conditions. The first valid key I constructed with pen&paper and a ascii table was "Ar9nnggg.dd roxx". But he also said in the readme file that you can recognize the right key. After some looking at my first key, suddenly "Crackmes.de roxx" came into my mind. But the third character must be a number, so some easy calculating leads us to "Cr4ckmes.de roxx". I think that's the right one.
Histomorphometric measurements were performed on three fields of each section with a ×20 objective and a ×10 eyepiece. Three fields were randomly selected for evaluation in each tissue specimen. Total 168 (56 samples × 3 times) measurements were performed in this study. A mean value was determined for each specimen. In the current study, the osteocyte population was determined by evaluating the density of osteocytes that reflected the characteristics of the osteocytic network. Similarly, empty lacunae were considered representative of osteocytic death. The osteocytic density (osteocyte number/cortical bone area, cells/mm2), density of lacunae (total number of lacunae/cortical bone area, lacunae/mm2), and density of empty lacunae (number of empty lacunae/cortical bone, empty lacunae/mm2) were each measured according to previous studies , . All specimens were obtained by a licensed oral pathology service at Kyushu Dental University, which provided access to the slides and reports.
The osteocyte numbers for all age categories are shown in Figure 7a. In brief, the young generation had 223.4±57.2 cells/mm2, the middle age group had 163.1±83.1 cells/mm, and the old generation was 109.0±65.2 cells/mm2. There were statistically significant differences between each cancellous bone groups (ANOVA and Bonferroni correction, *P
In the jaw bone, and particularly in the third molar area, the decrease in the number of osteocytes and lacunae may be a result of the damage response against bacterial infection (from intraoral microorganisms to the outer cortical bone) than microdamage, which is related to load transmission. In this study, there was no clear evidence of microcracks in these decalcified specimens. Future investigation of undecalcified specimens is needed to detect microdamage in the mandible.
Possible mechanisms of these pathological changes are that viable bone would be damaged and transform to a non-viable bone condition with chronic bacterial infection. Osteocyte death could induce micropetrosis in the lacunae and these tissue reaction cascades induce micro bone consolidation. However, the density of the empty lacunae did not reflect its numbers particularly in osteomyelitis samples as shown in Figure 6c. This reflects reactive osteogenesis due to osteomyelitis induced by bacterial infection and these pathological conditions might increase apparent bone lacunae with inflammatory cell infiltration. Further, bacterial infection could result in sclerotic osteomyelitis with bone consolidation and reducing osteocytes cell numbers.