Search

Abstract Mixed Sn-Pb perovskites have emerged as promising photovoltaic materials for both single- and multi-junction solar cells. However, achieving their scale-up and practical application requires further enhancement in stability. We identify that their poor thermal conductivity results in insufficient thermal transfer, leading to heat accumulation within the absorber layer that accelerates thermal degradation. A thermal regulation strategy by incorporating carboranes into perovskites is developed; these are electron-delocalized carbon-boron molecules known for their efficient heat transfer capability. We specifically select ortho-carborane due to its low thermal hysteresis. We observe its existence through the perovskite layer showing a decreasing trend from the buried interface to the top surface, effectively transferring heat and lowering the surface temperature by around 5 °C under illumination. o-CB also facilitates hole extraction at the perovskite/PEDOT:PSS interface and reduces charge recombination. These enable mixed Sn-Pb cells to exhibit improved thermal stability, retaining 80% of their initial efficiencies after aging at 85 °C for 1080 hours. When integrated into monolithic all-perovskite tandems, we achieve efficiencies of over 27%. A tandem cell maintains 87% of its initial PCE after 704 h of continuous operation under illumination.

PurposeTo develop a predictive model using machine learning for levothyroxine (L-T4) dose selection in patients with differentiated thyroid cancer (DTC) after resection and radioactive iodine (RAI) therapy and to prospectively validate the accuracy of the model in two institutions.MethodsA total of 266 DTC patients who received RAI therapy after thyroidectomy and achieved target thyroid stimulating hormone (TSH) level were included in this retrospective study. Sixteen clinical and biochemical characteristics that could potentially influence the L-T4 dose were collected; Significant features correlated with L-T4 dose were selected using machine learning random forest method, and a total of eight regression models were established to assess their performance in prediction of L-T4 dose after RAI therapy; The optimal model was validated through a two-center prospective study (n=263).ResultsSix significant clinical and biochemical features were selected, including body surface area (BSA), weight, hemoglobin (HB), height, body mass index (BMI), and age. Cross-validation showed that the support vector regression (SVR) model was with the highest accuracy (53.4%) for prediction of L-T4 dose among the established eight models. In the two-center prospective validation study, a total of 263 patients were included. The TSH targeting rate based on constructed SVR model were dramatically higher than that based on empirical administration (Rate 1 (first rate): 52.09% (137/263) vs 10.53% (28/266); Rate 2 (cumulative rate): 85.55% (225/263) vs 53.38% (142/266)). Furthermore, the model significantly shortens the time (days) to achieve target TSH level (62.61 ± 58.78 vs 115.50 ± 71.40).ConclusionsThe constructed SVR model can effectively predict the L-T4 dose for postoperative DTC after RAI therapy, thus shortening the time to achieve TSH target level and improving the quality of life for DTC patients.

Abstract This study investigates the potential of ellagic acid (EA), a phytochemical with antioxidant and anti-inflammatory properties, in managing perioperative neurocognitive disorders (PND). PND, which represents a spectrum of cognitive impairments often faced by elderly patients, is principally linked to surgical and anesthesia procedures, and heavily impacted by oxidative stress in the hippocampus and microglia-induced neuroinflammation. Employing an aged mice model subjected to abdominal surgery, we delve into EA's ability to counteract postoperative oxidative stress and cerebral inflammation by engaging the Insulin-like growth factor-1 (IGF-1) pathway. Our findings revealed that administering EA orally notably alleviated post-surgical cognitive decline in older mice, a fact that was manifested in improved performance during maze tests. This enhancement in the behavioral performance of the EA-treated mice corresponded with the rejuvenation of IGF-1 signaling, a decrease in oxidative stress markers in the hippocampus (like MDA and carbonylated protein), and an increase in the activity of antioxidant enzymes such as SOD and CAT. Alongside these, we observed a decrease in microglia-driven neuroinflammation in the hippocampus, thus underscoring the antioxidant and anti-inflammatory roles of EA. Interestingly, when EA was given in conjunction with an IGF1R inhibitor, these benefits were annulled, accentuating the pivotal role that the IGF-1 pathway plays in the neuroprotective potential of EA. Hence, EA could serve as a potent candidate for safeguarding against PND in older patients by curbing oxidative stress and neuroinflammation through the activation of the IGF-1 pathway.

Research Findings: This study aimed to explore the mediating role of social competence and the moderating role of teacher-child conflict in the relation between maternal overcontrol and Chinese preschooler's internalizing problems. Participants were 216 children aged 3-4 years, from two kindergartens in Shanghai, China. Mothers completed the observation of mother-child interaction task. Teachers completed the assessment of children's social competence, internalizing problems, and teacher-child conflict. Result of mediation showed that maternal overcontrol indirectly predicted child internalizing problems through its negative association with child social competence. Moderated mediation results show that teacher-child conflict moderated the relation between maternal overcontrol and child social competence. Moreover, lower levels of teacher-student conflict can buffer the negative impact of maternal overcontrol on child social competence, and thus reduce children's internalizing problems. Practice or Policy: Maternal overcontrol as a negative parenting is related to children's maladjustment in current China. Reducing teacher-child conflict might alleviate the negative effects of maternal overcontrol on child social adjustment.

The capacity to externally manipulate magnetic properties is highly desired from both fundamental and technological perspectives, particularly in the development of magnetoelectronics and spintronics devices. Here, using first-principles calculations, we have demonstrated the ability of controlling the magnetism of magnetized graphene monolayers by interfacing them with a two-dimensional ferroelectric material. When the 3d transition metal (TM) is adsorbed on the graphene monolayer, its magnetization easy axis can be flipped from in-plane to out-of-plane by the ferroelectric polarization reversal of In2Se3, and the magnetocrystalline anisotropy energy (MAE) can be high to −0.692 meV/atom when adopting the Fe atom at bridge site with downward polarization. This may be a universal method since the 3d TM-adsorbed graphene has a very small MAE, which can be easily manipulated by the ferroelectric polarization. As a result, the inherent mechanism is analyzed by the second variation method. [ABSTRACT FROM AUTHOR]

AbstractA promising paradigm for drug administration that has garnered increasing attention in recent years is the direct transfer (DT) of nanoparticles for transcellular drug delivery. DT requires direct cell-cell contact and facilitates unidirectional and bidirectional matter exchange between neighboring cells. Consequently, DT enables fast and deep penetration of drugs into the targeted tissues. This comprehensive review discusses the direct transfer concept, which can be delineated into the following three distinct modalities: membrane contact-direct transfer, gap junction-mediated direct transfer (GJ-DT), and tunneling nanotubes-mediated direct transfer (TNTs-DT). Further, the intercellular structures for each modality of direct transfer and their respective merits and demerits are summarized. The review also discusses the recent progress on the drugs or drug delivery systems that could activate DT.