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Creativity evaluation, particularly rating the creativity of products, is an unstable construct subjective to the influence of various individual states and characteristics. However, little research has been conducted on whether and how participants’ physiological states affect rating products. This experimental study aimed to explore how synchrony (i.e. whether individuals’ evaluation time synchronizes with their peak circadian arousal periods during a day) affects the rating of creativity in drawings, whether these effects vary according to drawings’ different creativity levels, and the influence of emotional state on synchrony and creativity rating. A sample of 191 university students rated several drawings of low, medium, and high creativity levels at their optimal or non-optimal times of day, and their subjective emotional valence and arousal were recorded. The results showed that participants exhibited a more positive rater bias when rating low- and medium-creativity-level drawings during their optimal times of day. Emotional arousal, but not valence, mediated the relationship between synchrony and rater bias. These findings highlight the role of synchrony and emotional arousal in rating creative products, contributing to our understanding of how raters’ synchrony states influence creativity evaluation. [ABSTRACT FROM AUTHOR]

Bismuth‐based materials have emerged as promising catalysts in the electrocatalytic reduction of CO2 to formate. However, the reasons for the reconstruction of Bi‐based precursors to form bismuth nanosheets are still puzzling, especially the formation of defective bismuth sites. Herein, we prepare bismuth nanosheets with vacancy‐rich defects (V‐Bi NS) by rapidly reconstructing Bi19Cl3S27 under negative potential. Theoretical analysis reveals that the introduction of chlorine induces the generation of intrinsic electric field in the precursor, thereby increasing the electron transfer rate and further promoting the metallization of trivalent bismuth. Meanwhile, experimental tests verify that Bi19Cl3S27 has a faster reconstruction rate than Bi2S3. The formed V‐Bi NS exhibits up to 96 % HCOO− Faraday efficiency and 400 mA cm−2 HCOO− partial current densities, and its electrochemical active surface area normalized formate current density and yield are 2.2 times higher than those of intact bismuth nanosheets (I‐Bi NS). Density functional theory calculations indicate that bismuth vacancies with electron‐rich aggregation reduce the activation energy of CO2 to *CO2− radicals and stabilize the adsorption of the key intermediate *OCHO, thus facilitating the reaction kinetics of formate production. [ABSTRACT FROM AUTHOR]

The role of KRAS mutation in non‐small cell lung cancer (NSCLC) initiation and progression is well‐established. However, "undruggable" KRAS protein poses the research of small molecule inhibitors a significant challenge. Addressing this, proteolysis‐targeting chimeras (PROTACs) have become a cutting‐edge treatment method, emphasizing protein degradation. A modified ethanol injection method was employed in this study to formulate liposomes encapsulating PROTAC drug LC‐2 (LC‐2 LPs). Precise surface modifications using cell‐penetrating peptide R8 yielded R8‐LC‐2 liposomes (R8‐LC‐2 LPs). Comprehensive cellular uptake and cytotoxicity studies unveiled that R8‐LC‐2 LPs depended on concentration and time, showcasing the superior performance of R8‐LC‐2 LPs compared to normal liposomes. In vivo pharmacokinetic profiles demonstrated the capacity of DSPE‐PEG2000 to prolong the circulation time of LC‐2, leading to higher plasma concentrations compared to free LC‐2. In vivo antitumor efficacy research underscored the remarkable ability of R8‐LC‐2 LPs to effectively suppress tumor growth. This study contributed to the exploration of enhanced therapeutic strategies for NSCLC, specifically focusing on the development of liposomal PROTACs targeting the "undruggable" KRAS protein. The findings provide valuable insights into the potential of this innovative approach, offering prospects for improved drug delivery and heightened antitumor efficacy. [ABSTRACT FROM AUTHOR]

SUMMARY: Grain weight, grain number per panicle, and the number of panicles are the three factors that determine rice (Oryza sativa L.) yield. Of these, grain weight, which not only directly determines rice yield but also influences appearance and quality, is often considered the most important for rice production. Here, we describe OsNF‐YC1, a member of the NF‐Y transcription factor family that regulates rice grain size. OsNF‐YC1 knockout plants (osnf‐yc1), obtained using CRISPR‐Cas9 technology, showed reduced grain weight due to reduced width and thickness, with no change in grain length, leading to a slenderer grain shape. Downregulation of OsNF‐YC1 using RNA interference resulted in similar grain phenotypes as osnf‐yc1. OsNF‐YC1 affects grain formation by regulating both cell proliferation and cell expansion. OsNF‐YC1 localizes in both the nucleus and cytoplasm, has transcriptional activation activity at both the N‐terminus and C‐terminus, and is highly expressed in young panicles. OsNF‐YC1 interacts with OsMADS1 both in vivo and in vitro. Further analysis showed that the histone‐like structural CBFD‐NFYB‐HMF domain of OsNF‐YC1 conserved in the OsNF‐YC transcription factor family can directly interact with the MADS‐box domain of OsMADS1 to enhance its transcriptional activation activity. This interaction positively regulates the expression of OsMADS55, the direct downstream target of OsMADS1. Therefore, this paper reveals a potential grain size regulation pathway controlled by an OsNF‐YC1‐OsMADS1‐OsMADS55 module in rice. Significance Statement: This paper described the molecular mechanism of OsNF‐YC1 regulating rice grain size formation, a potential pathway of OsNF‐YC1‐OsMADS1‐OsMADS55. OsNF‐YC1 knockout plants displayed the slender grain size with the narrower grain width than the controls, the yield of which was not changed due to the number of grains per panicle of the osnf‐yc1 mutant is increased. Therefore, OsNF‐YC1 can be used for improving rice appearance quality and yield, which has a potential value in practical application. [ABSTRACT FROM AUTHOR]

Aims: Cardiovascular‐kidney‐metabolic (CKM) multimorbidity is prevalent among individuals with heart failure (HF), but whether cardiac structure and function, clinical outcomes, and treatment response to sacubitril/valsartan vary in relation to CKM status is unknown. Methods and results: In this PARAGON‐HF post‐hoc analysis, we evaluated the impact of CKM multimorbidity (atherosclerotic cardiovascular [CV] disease, chronic kidney disease, and type 2 diabetes) on cardiac structure and function, clinical outcomes, and treatment effects of sacubitril/valsartan versus valsartan. The primary outcome was a composite of total HF hospitalizations and CV death. Secondary outcomes included the individual components of the primary outcome and a composite kidney outcome (sustained estimated glomerular filtration rate reduction of ≥50%, end‐stage kidney disease, or kidney‐related death). At baseline, 35.2% had one CKM condition, 33.3% had two, 15.9% had three, and only 15.6% had HF alone. CKM multimorbidity was associated with higher septal and posterior wall thickness, lower global longitudinal strain, higher E/e', and worse right ventricular function. Total HF hospitalizations or CV death increased with greater CKM multimorbidity, with the highest relative risk observed with three CKM conditions (rate ratio 3.06, 95% confidence interval 2.33–4.03), compared with HF alone. Treatment effects of sacubitril/valsartan were consistent irrespective of the number of CKM conditions for the primary endpoint (pinteraction = 0.75), CV death (pinteraction = 0.82), total HF hospitalizations (pinteraction = 0.67), and the composite kidney endpoint (pinteraction = 0.99). Conclusions: Cardiovascular‐kidney‐metabolic multimorbidity was common in PARAGON‐HF and associated with adverse changes in cardiac structure and function and with a stepwise increase in risk of clinical outcomes. Treatment effects of sacubitril/valsartan were consistent irrespective of CKM burden. Clinical Trial Registration: ClinicalTrials.gov NCT01920711. [ABSTRACT FROM AUTHOR]

Since the 1970s, China has continuously improved air pollution treatment and emission standards, but polluted weather still occurs frequently in some areas, especially haze weather. At present, most of the research on haze weather focuses on particulate matter, while ignoring the mechanism of aerosol-radiation-surface ozone interaction under haze weather. Therefore, this paper analyses the relationship between aerosol-radiation-surface ozone with the help of the (SBDART) model for the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), using 2013–2021 as the time line. The results show similar trends in total column ozone and tropospheric ozone, and separate trends in surface ozone. Total column ozone and tropospheric ozone concentrations are at high values in spring and summer and low values in fall and winter; surface ozone is higher in summer and fall and lower in winter and spring. In contrast, Absorbing aerosol index (AAI) had high values in both spring and winter, and low values in summer and autumn. AAI, PM10 and Black carbon (BC) showed negative relations with ozone overall, but AAI and tropospheric ozone reached high values simultaneously in spring, indicating a rapid increase of pollutants caused by meteorological factors and human activities. Ozone concentration decreases from high values when precipitable water increases significantly. The analysis of potential sources of AAI indicated that local sources centered in Guangzhou were the primary source of AAI in the urban agglomeration of GBA, while other potential sources include biomass sources in the south and ozone sources in the northeast. The photolysis rate of fine-grained urban/industrial aerosols did not decrease significantly, leading to an increase in surface ozone concentration. Therefore, low aerosol radiative forcing (ARF) may increase surface ozone concentrations in the fine-particle aerosol mode. [ABSTRACT FROM AUTHOR]

This paper presents the design of an intra-row obstacle avoidance shovel-type weeding machine. Theoretical analysis of intra-row weeding components guided the determination of the structures and parameters for key parts, including the signal acquisition mechanism, automatic obstacle avoidance mechanism, and weeding shovel. Furthermore, a hydraulic system was designed to support these functions. The design aims to optimize intra-row weeding operations, reduce labor costs, enhance weed control effectiveness, and prevent collisions between weeding equipment and grapevines. Through the construction of a mathematical model, the analysis determined the necessary minimum return speed of the hydraulic cylinder for the intra-row weeding shovel to avoid grapevines. We also established a reasonable range for the extension speed of the hydraulic cylinder to minimize areas missed during weeding. Further analysis showed that using the minimum return speed of the hydraulic cylinder effectively reduced missed weeding areas. A virtual prototype model of the weeding machine was created in ADAMS. Using the coverage rate of weeding operation as the evaluation index, single-factor simulation tests determined that the extension speed of the piston rod in the obstacle avoidance hydraulic cylinder and the forward speed of the weeding machine are the main influencing factors. The preset threshold of the control system, which triggered the automatic obstacle avoidance mechanism when the obstacle avoidance rod reached a specific angle (the "Angle Threshold"), was identified as a secondary influencing factor. Other factors were considered irrelevant. Hydraulic cylinder extension speed, weeding machine forward speed, and angle threshold were chosen as the influencing factors. Following the principles of a Box–Behnken experimental design, a quadratic regression combination experiment was designed using a three-factor, three-level response surface analysis method. The evaluation criterion focused on the coverage rate of weeding operation. A regression model was developed to determine the coverage rate of the weeding operation, identifying the optimal parameters as follows: obstacle avoidance hydraulic cylinder extension speed of 120 mm/s, forward speed of the weeding machine at 0.6 m/s, and an angle threshold of 18°. The optimized coverage rate of the weeding operation achieved 86.1%. This study serves as a reference for further optimization of intra-row weeding machines in vineyards and for other crops. [ABSTRACT FROM AUTHOR]