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More interestingly, enantiomeric excesses decrease and, in the case of SO3-, are even inverted in favor of the other enantiomer when the electron-donating groups are installed. These results highlight the importance of electrostatic effects, and polar effects more generally, in optimal organocatalyst design for stereoselective C-C bond-forming reactions.Lanthanide-transition metal complexes continue to be of interest, not only because of their synthetic challenge but also of their promising magnetic properties. Computational work examining the chemical bonding between lanthanides and transition metals in PyCp2Ln-TMCp(CO)2 (DyPyCp22- = [2,6-(CH2C5H3)2C5H3N]2-) reveals strong Ln-TM dative bonds. Gas-phase optimized geometries are in good agreement with experimental structures at the density functional theory (DFT) level with large-core pseudopotentials. From La to Lu, there is a small increase in the bond dissociation energy, as well as a decrease in Ln-Fe bond lengths. Energy decomposition analyses attribute this trend to an increase in the electrostatic contribution from the decreasing bond length and a modest increase in the orbital contribution. The natural bond orbital analysis clearly indicates that 3d6 "lone pairs" in the [FeCp(CO)2]- fragment act as a Lewis bases donating nearly 0.5 electron to Ln virtual orbitals of mainly d character. The interfragment bonding was also quantified by the quantum theory of atoms in molecules, which indicates that the Ln-Fe bond is more covalent than the Ca-Fe bond in the hypothetical CpCa-FeCp(CO)2 but less covalent than the Zn-Fe bond in the hypothetical CpZn-FeCp(CO)2. Further comparisons suggest that to the [PyCp2Ln]+ cation the [FeCp(CO)2]- anion appears much like a halide. Overall, these Ln-TM dative bonds appear to have strong electrostatic contributions as well as significant orbital mixing and dispersion contributions.Receptor-related orphan receptor γ (RORγ) has emerged as an attractive therapeutic target for the treatment of cancer and inflammatory diseases. Herein, we report our effort on the discovery, optimization, and evaluation of benzothiazole and benzimidazole derivatives as novel inverse agonists of RORγ. The representative compound 27h (designated as XY123) potently inhibited the RORγ transcription activity with a half-maximal inhibitory concentration (IC50) value of 64 nM and showed excellent selectivity against other nuclear receptors. 27h also potently suppressed cell proliferation, colony formation, and the expression of androgen receptor (AR)-regulated genes in AR-positive prostate cancer cell lines. In addition, 27h demonstrated good metabolic stability and a pharmacokinetic property with reasonable oral bioavailability (32.41%) and moderate half-life (t1/2 = 4.98 h). Significantly, oral administration of compound 27h achieved complete and long-lasting tumor regression in the 22Rv1 xenograft tumor model in mice. Compound 27h may serve as a new valuable lead compound for further development of drugs for the treatment of prostate cancer.Postoperative cognitive dysfunction (POCD) is a complication of the central nervous system (CNS) often occurred after surgery or anesthesia in the elder patients. Mind bomb-2 (MIB2) has been reported to modulate neuronal functions. Here, we aimed to study whether MIB2 exerts roles in the effects of sevoflurane anesthesia on mice hippocampal neurons and function, and how. Aging male C57BL/6 mice were subjected to sevoflurane administration, and primary hippocampal neurons were adopted to study sevoflurane effects in vitro. Western blotting and immunohistochemistry assay were used to study the protein expression of MIB2. CCK-8 assay and propidium iodide (PI) staining were performed to evaluate cell viability and cell death, respectively. Ferroptosis-related indicators malondialdehyde (MDA), glutathione (GSH), and iron levels were checked through indicated ELISA kits. Co-immunoprecipitation was adopted to study the binding effects of MIB2 to GPX4. We found that sevoflurane anesthesia increased MIB2 expression in mice hippocampus tissues and neurons. Knockdown of MIB2 alleviated neuron death and ferroptosis induced by sevoflurane exposure. https://www.selleckchem.com/products/sgi-110.html Downregulated MIB2 enhanced GPX4 stability and reduced its ubiquitination. MIB2 was verified to bind to GPX4. The effects of MIB2 knockdown on the neuron death and ferroptosis can be reversed by further siGPX4 transfection. In vivo results also showed that MIB2 knockdown reduced hippocampal neuron death, ferroptosis, and cognitive impairments in the sevoflurane-exposed mice. Taking all together, downregulation of MIB2 could alleviate the sevoflurane-anesthesia-induced cognitive dysfunction and neuron injury through reducing ferroptosis via GPX4. Our results also provide novel directions for POCD treatment using anti-MIB2-related drugs or strategies.Capacitive pressure sensors based on porous structures have been extensively explored for various applications because their sensing performance is superior to that of conventional polymer sensors. However, it is challenging to develop sufficiently sensitive pressure sensors with linearity over a wide pressure range owing to the trade-off between linearity and sensitivity. This study demonstrates a novel strategy for the fabrication of a pressure sensor consisting of stacked carbon nanotubes (CNTs) and polydimethylsiloxane. With the addition of carbon nanotubes, the structure is linearly compressed due to the reinforced mechanical properties, thereby resulting in high linearity. Additionally, the percolation effect is boosted by the CNTs having a high dielectric constant, thus improving the sensitivity. The pressure sensor exhibits linear sensitivity (R2 = 0.991) in the medium-pressure range (10-100 kPa). Furthermore, it delivers excellent performance with a fast response time (∼60 ms), in conjunction with high repeatability, reproducibility, and reliability (5 and 50 kPa/1000 cycles). The fabricated sensors are applied in wearable devices to monitor finger bending and detect finger motions in real time with high precision. The large-area sensor is integrated with a neural network to accurately recognize the sitting posture on a plane, thereby demonstrating the wide-range detection performance.