khāleq mirzāzādeh is a great ctitic and researcher in tajikistan. he was familiar with sa‘di’s works, especially golestān and boustān , from his teen years; and he created estimable researches about sa‘di through studying of and searching in his works. it should be mentioned that there are worthwhile researches done in tajikistan in relation to sa‘di’s eventful life and his literary heritage. t...

slug (snai2), a regulator of epithelial-to-mesenchymal transition (emt), is a zinc finger transcription factor involved in neurulation. intriguingly, snai2 gene expression has been linked to the aggressiveness of neuroblastoma, melanoma and lung, colon, ovarian and breast carcinoma. of note, many metastatic cancers recapitulate emt to enhance cell motility and invasion. moreover, metastasis is ...

The term ‘Master Data’ brings up different interpretations and connotations, especially with vendors espousing the “single version of the truth”. Is there a single version of the truth? Practical realities suggest that we need to continue to live with existing versions – at least until the “single version” is reached. So how do we handle the co-existence of “multiple versions” of the truth? Thi...

Many people think we’re entering a golden age of genomics, with technological breakthroughs yielding an explosion of data along with unprecedented insights into the genes and molecules that underlie life. Personally, I find it all a bit dull and uninspiring. Perhaps this cynicism stems from a conversation I once had with a fanatical, eye-popping cladist who proudly told me, ‘‘We don’t need to s...

Minimally invasive surgical techniques, in particular laparoscopy, have many advantages over traditional surgery, most notably more rapid patient recovery. Limitations of current instrumentation, however, can make laparoscopic surgery awkward for the surgeon. A teleoperative surgical workstation would improve the surgeon's dexterity and control during laparoscopy. This report rst presents a bri...

CycleGAN [Zhu et al., 2017] is one recent successful approach to learn a transformation between two image distributions. In a series of experiments, we demonstrate an intriguing property of the model: CycleGAN learns to “hide” information about a source image into the images it generates in a nearly imperceptible, highfrequency signal. This trick ensures that the generator can recover the origi...