Notes

Dissociable Neural Representations involving Adversarially Perturbed Images inside Convolutional Neurological Networks and also the Mind.
The treatment of ovarian cancer should be appropriate, since clinical and surgical decisions may affect the prognosis; the surgery must be performed by an expert oncological surgeon or gynecological oncologist, it's fundamental roles are cancer staging and cytoreduction. The concept of staging surgery in early stages has its justification in the fact that up to 11% of "early ovarian cancers" will have metastasis in different sites of the peritoneal cavity at the time of diagnosis. In advanced stages of epithelial ovarian cancer, the goal is the complete cytoreduction of all visible macroscopic disease, since this variable is the most strongly associated with increased overall survival and disease-free period. The ideal time for cytoreductive surgery in relation to chemotherapy (before or after) is still under debate. In 2010 a randomized trial (EORTC) was published, comparing 310 patients initially operated (followed by adjuvant chemotherapy) versus 322 patients initially treated with neoadjuvant chemotherapy (followed by cytoreductive surgery); no significant differences in overall survival between groups were found. Another important factor playing a role in survival and in the probability of surgical cytoreductive success is tumor biology; there has been described a clear difference between serous and mucinous tumors, but some groups advocate that maximal surgical effort in mucinous tumors may compensate morbidity with an increase in survival. The extension of resection in cytoreduction is still controversial; some authors have confirmed that the most important factor is the residual disease and that radical surgery is superior to non-radical surgery in terms of overall survival. The need and extent of lymphadenectomy in advanced cancer will be treated in another chapter of this issue. Undoubtedly, an important factor is to perform procedures in specialized centers.We measure the frictional drag-reducing property of various superhydrophobic metal oxide nanostructures by quantifying their effective slip length. Scalable chemical methods tailored to each metal substrate are applied to grow oxide nanostructures on copper (Cu), aluminum (Al), and titanium (Ti), respectively. In particular, three different types of oxide nanostructures are grown on the titanium substrate by changing the chemical composition to investigate the morphological influence on the slip length. Microchannels containing metal oxide nanostructures are fabricated based on the microfluidic sticker method, while the slip length is unambiguously determined by measuring the ratio of the volume flow rate over the superhydrophobic surface to that over the flat surface simultaneously. The slip length is measured to be 6.8 ± 1.4 μm on Cu nanostructures, while it is measured to be 2.5 ± 0.6 μm on Al nanostructures. For Ti nanostructures, the measured slip lengths range from 1 to 2.5 ± 0.5 μm, where they increase proportionally with the structural pitch of the nanostructures, agreeing with the theoretical predictions. We believe that our results will be useful in applying scalable low-cost metal oxide nanostructures to underwater applications by providing their frictional characteristics.An intramolecular decarboxylative coupling reaction for the construction of 2-(1,3,4-oxadiazol-2-yl)aniline derivatives was developed from readily available isatins and hydrazides by virtue of electrochemistry. In this reaction, isatins were employed as amino-attached C1 sources, providing a variety of 2-(1,3,4-oxadiazol-2-yl)aniline derivatives with moderate to good yields.Quantitative proteomics data are becoming increasingly more available, and as a consequence are being analyzed and interpreted by a larger group of users. However, many of these users have less programming experience. Furthermore, experimental designs and setups are getting more complicated, especially when tissue biopsies are analyzed. Luckily, the proteomics community has already established some best practices on how to conduct quality control, differential abundance analysis and enrichment analysis. However, an easy-to-use application that wraps together all steps for the exploration and flexible analysis of quantitative proteomics data is not yet available. For Eatomics, we utilize the R Shiny framework to implement carefully chosen parts of established analysis workflows to (i) make them accessible in a user-friendly way, (ii) add a multitude of interactive exploration possibilities, and (iii) develop a unique experimental design setup module, which interactively translates a given research hypothesis into a differential abundance and enrichment analysis formula. In this, we aim to fulfill the needs of a growing group of inexperienced quantitative proteomics data analysts. Eatomics may be tested with demo data directly online via https//we.analyzegenomes.com/now/eatomics/ or with the user's own data by installation from the Github repository at https//github.com/Millchmaedchen/Eatomics.Singlet fission (SF) has the potential to dramatically increase solar cell efficiency by converting one singlet exciton to two free triplet excitons via a correlated triplet pair intermediate. Identification and characterization of excited states involved in SF are of great importance for understanding the fundamentals of SF. Despite their importance, it is still nontrivial to distinguish various species in transient absorption spectra due to their spectral overlaps and ultrashort lifetimes. Theoretical modeling of SF and its electronically excited state absorption (ESA) is generally challenging due to the multiexciton nature of the correlated triplet pair, which usually requires description by expensive high-level ab initio methods. In this work, taking the bis((triisopropylsilyl)ethynyl) (TIPS)-pentacene monomer and its covalently linked dimer as representative examples, we demonstrate the use of single-reference DFT-based approaches to simulate the ESA spectra during SF. In particular, the singlet and triplet ESA are evaluated by TDDFT, QR-TDDFT, SLR-TDDFT, SF-TDDFT, and UTDDFT, in combination with ten different exchange-correlation functionals. The correlated triplet pair and its ESA are characterized by broken-symmetry DFT and TDDFT, and the role of orbital relaxation is highlighted. PHTPP mw With a rational choice of exchange-correlation functionals, we found the resulting spectra to show good agreement with transient absorption experiments and certain improvements over high-order CI methods.
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