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Summary: Macrophages are phenotypically and functionally diverse in the tumor microenvironment (TME). However, how to remodel macrophages with a protumor phenotype and how to manipulate them for therapeutic purposes remain to be explored. Here, we show that in the TME, RARγ is downregulated in macrophages, and its expression correlates with poor prognosis in patients with colorectal cancer (CRC). In macrophages, RARγ interacts with tumor necrosis factor receptor-associated factor 6 (TRAF6), which prevents TRAF6 oligomerization and autoubiquitination, leading to inhibition of nuclear factor κB signaling. However, tumor-derived lactate fuels H3K18 lactylation to prohibit RARγ gene transcription in macrophages, consequently enhancing interleukin-6 (IL-6) levels in the TME and endowing macrophages with tumor-promoting functions via activation of signal transducer and activator of transcription 3 (STAT3) signaling in CRC cells. We identified that nordihydroguaiaretic acid (NDGA) exerts effective antitumor action by directly binding to RARγ to inhibit TRAF6-IL-6-STAT3 signaling. This study unravels lactate-driven macrophage function remodeling by inhibition of RARγ expression and highlights NDGA as a candidate compound for treating CRC.

Ringy nanostructures are amazing materials, displaying unique optical, magnetic, and electronic properties highly related to their dimensions. A strategy capable of continuously tailoring the diameter of nanorings is the key to elucidating their structure‐function relationship. Herein, a method of bi‐component micellar‐configuration‐transformation induced by hydrophobicity for the synthesis of nanorings with diameters ranging from submicron (≈143 nm) to micron (≈4.8 µm) and their carbonaceous analogs is established. Remarkably, the nanorings fabricated with this liquid phase strategy achieve the record for the largest diameter span. Through varying the molecular lengths of fatty alcohols and copolymers, shortening the molecular length of fatty alcohol can swell the primary micelles, improve the exposure of hydrophobic component and boost the assembly kinetics for ultra‐large nanorings is shown here. On the other hand, shortening the molecular length of the copolymer will give rise to ultra‐small nanorings by reducing the size of primary micelles and shortening the assembly time. When assembling the nanorings into monolayer arrays and then depositing Au, such substrate displays enhanced surface‐enhanced Raman scattering (SERS) performance. This research develops a facile method for the controllable synthesis of ringy materials with multiscale tunable diameters and may inspire more interesting applications in physics, optical, and sensors. [ABSTRACT FROM AUTHOR]

This article presents two quantum algorithms for computing the product of a circulant matrix and a vector. The arithmetic complexity of the first algorithm is O (N log 2 N) in most cases. For the second algorithm, when the entries in the circulant matrix and the vector take values in C or R , the complexity is O (N log 2 N) in most cases. However, when these entries take values from positive real numbers, the complexity is reduced to O (log 3 N) in most cases, which presents an exponential speedup compared to the classical complexity of O (N log N) for computing the product of a circulant matrix and vector. We apply this algorithm to the convolution calculation in quantum convolutional neural networks, which effectively accelerates the computation of convolutions. Additionally, we present a concrete quantum circuit structure for quantum convolutional neural networks. [ABSTRACT FROM AUTHOR]

Objective: Subcortical nuclei such as the thalamus and striatum have been shown to be related to seizure modulation and termination, especially in drug‐resistant epilepsy. Enhance diffusion‐weighted imaging (eDWI) technique and tri‐component model have been used in previous studies to calculate apparent diffusion coefficient from ultra high b‐values (ADCuh). This study aimed to explore the alterations of ADCuh in the bilateral thalamus and striatum in MRI‐negative drug‐resistant epilepsy. Methods: Twenty‐nine patients with MRI‐negative drug‐resistant epilepsy and 18 healthy controls underwent eDWI scan with 15 b‐values (0–5000 s/mm2). The eDWI parameters including standard ADC (ADCst), pure water diffusion (D), and ADCuh were calculated from the 15 b‐values. Regions‐of‐interest (ROIs) analyses were conducted in the bilateral thalamus, caudate nucleus, putamen, and globus pallidus. ADCst, D, and ADCuh values were compared between the MRI‐negative drug‐resistant epilepsy patients and controls using multivariate generalized linear models. Inter‐rater reliability was assessed using the intra‐class correlation coefficient (ICC) and Bland–Altman (BA) analysis. False discovery rate (FDR) method was applied for multiple comparisons correction. Results: ADCuh values in the bilateral thalamus, caudate nucleus, putamen, and globus pallidus in MRI‐negative drug‐resistant epilepsy were significantly higher than those in the healthy control subjects (all p < 0.05, FDR corrected). Significance: The alterations of the ADCuh values in the bilateral thalamus and striatum in MRI‐negative drug‐resistant epilepsy might reflect abnormal membrane water permeability in MRI‐negative drug‐resistant epilepsy. ADCuh might be a sensitive measurement for evaluating subcortical nuclei‐related brain damage in epilepsy patients. Plain Language Summary: This study aimed to explore the alterations of apparent diffusion coefficient calculated from ultra high b‐values (ADCuh) in the subcortical nuclei such as the bilateral thalamus and striatum in MRI‐negative drug‐resistant epilepsy. The bilateral thalamus and striatum showed higher ADCuh in epilepsy patients than healthy controls. These findings may add new evidences of subcortical nuclei abnormalities related to water and ion hemostasis in epilepsy patients, which might help to elucidate the underlying epileptic neuropathophysiological mechanisms and facilitate the exploration of therapeutic targets. [ABSTRACT FROM AUTHOR]

Objective: The uncertainty of the determination of acid scarlet GR in orange juice by high performance liquid chromatography （HPLC） was evaluated. The source of uncertainty and the key factors affecting the test results were analyzed, so as to improve the accuracy of the test results. Methods: The mathematical model of uncertainty of acid scarlet GR content in orange juice was established. The factors that may introduce uncertainty in the detection process were analyzed, and the uncertainty components were evaluated. Results: The content of acid scarlet GR in self-made positive orange juice was 1.46 mg/kg, the expanded uncertainty was 0.11 mg/kg （including factor k=2）, and the determination result was expressed as: X=（1.46±0.11） mg/kg （k=2）. Conclusion: This uncertainty mainly comes from the uncertainty introduced by the purity of reference materials, the linear fitting of standard curves and the analysis of high performance liquid chromatography.

While existing polyoxometalates (POMs) are predominantly utilized in a range of energy devices, their potential in bioelectronics and optoelectronics, particularly in organic photoelectrochemical transistors (OPECTs), remains unexplored. Here, the potential of POMs in this aspect is unveiled by a POM/sulfide‐gated OPECT. The representative PW12/ZnIn2S4 with cascading light‐harvesting and enzyme‐like functionality enables unique on‐off OPECT operation. The incorporation of PW12 facilitates the separation of photogenerated charge carriers across the heterojunction interface, consequently inducing a pronounced gating effect. Linking with a CRISPR/Cas13a system correlating the target miRNA‐21 and biological generation of H2O2, the PW12 will enable the polymerization of dopamine into polydopamine and thus sensitively inhibit the OPECT gating. Experimental results demonstrated that the developed OPECT sensor achieved good analytical performance with a detection limit as low as 3.9 fm. This study demonstrates the potential of POMs in OPECT. Given the large family and multifunction of POMs, its implications in the diverse bioelectronics and optoelectronics are expected. [ABSTRACT FROM AUTHOR]

Developing efficient catalysts to convert CO2 into value‐added chemicals is valuable for reducing carbon emissions. Herein, a kind of novel thiolate‐based ionic liquid with sulfur as the active site was designed and synthesized, which served as highly efficient catalyst for the reductive N‐functionalization of CO2 by amines and hydrosilane. By adjusting the CO2 pressure, various N‐formamides and N‐methylamines were selectively obtained in high yields. Remarkably, at the catalyst loading of 0.1 mol %, the N‐formylation reaction of N‐methylaniline exhibited an impressive turnover frequency (TOF) up to 600 h−1, which could be attributed to the roles of the ionic liquids in activating hydrosilane and amine. In addition, control experiments and NMR monitoring experiments provided evidence that the reduction of CO2 by hydrosilane yielded formoxysilane intermediates that subsequently reacted with amines to form N‐formylated products. Alternatively, the formoxysilane intermediates could further react with hydrosilane and amine to produce 4‐electron‐reduced aminal products. These aminal products served as crucial intermediates in the N‐methylation reactions. [ABSTRACT FROM AUTHOR]

Copper ions (Cu2+) play an essential role in various cellular functions, including respiration, nerve conduction, tissue maturation, oxidative stress defense, and iron metabolism. Covalent organic frameworks (COFs) are a class of porous crystalline materials with directed structural designability and high stability due to the combination of different monomers through covalent bonds. In this study, we synthesized a porphyrin-tetrathiazole COF (TT-COF(Zn)) with Zn-porphyrin and tetrathiafulvalene (TTF) as monomers and used it as a photoactive material. The strong light absorption of metalloporphyrin and the electron-rich properties of supplied TTF contribute to its photoelectrochemical performance. Additionally, the sulfur (S) in the TTF can coordinate with Cu2+. Based on these properties, we constructed a highly sensitive photoelectrochemical sensor for detecting Cu2+. The sensor exhibited a linear range from 0.5 nM to 500 nM (R2 = 0.9983) and a detection limit of 0.15 nM for Cu2+. Notably, the sensor performed well when detecting Cu2+ in water samples. [ABSTRACT FROM AUTHOR]

Purpose: Nicotine withdrawal is a multifaceted physiological and psychological process that can induce a spectrum of mood disturbances. Gaining a more nuanced understanding of how pure nicotine withdrawal influences cognitive control functions may provide valuable insights for the enhancement of smoking cessation programs. This study investigated changes in inhibitory control function in smokers after 2-hour nicotine withdrawal using the event-related potential (ERP) technique. Participants and Methods: 28 nicotine dependence (ND) patients and 28 health controls (HCs) completed a smoking-cued Go/No-go task containing two different types of picture stimuli, smoking-cued and neutral picture stimuli. We analyzed the behavioral and ERP data using a mixed model Repeated Measure Analysis of Variance (ANOVA). Results: No-go trials accuracy rate (ACC) at baseline (time 1) was lower in the ND group compared to HCs with smoking-cued stimuli, and No-go trials ACC after 2-hour nicotine withdrawal (time 2) was not lower in the ND group compared to HCs. When confronted with smoking-cued stimuli, the No-go trials ACC was higher in time 2 than in time 1 in the ND group. For the ERP component, the No-go N2 amplitudes in the ND group with smoking-cued stimuli were lower than that of HCs, whereas after 2-hour nicotine withdrawal, the ND group's No-go N2 amplitudes higher than that at time 1, and did not differ from that of HCs. No-go P3 amplitudes were not significantly different between the two groups. Conclusion: Evidenced from ERP data, ND patients have an inhibitory control dysfunction in the face of smoking cues, which is mainly manifested in the early stage of response inhibition rather than in the late stage. Two-hour nicotine withdrawal improves inhibitory control dysfunction in ND patients. The No-go N2 component is an important and sensitive neuroelectrophysiological indicator of inhibitory control function in ND patients. [ABSTRACT FROM AUTHOR]

Abstract type, the N2 amplitude at the parietal lobe was higher than that at the central lobe. The NCs displayed lower amplitudes for both the P3 and slow wave compared to the schizophrenia patients. Differences were observed between the NC and schizophrenia groups in terms of the latencies for N1, P2, N2, P3 and slow wave components across different experiment types and regions of interest. Conclusion: In conclusion, the observed ERP patterns provide valuable insights into the neural mechanisms underlying the Wason selection task, highlighting the differences between NCs and patients with schizophrenia. [ABSTRACT FROM AUTHOR]

This study used the ITS approach based on Illumina MiSeq sequencing to assess the endosphere and rhizosphere fungal communities in healthy and diseased faba bean plants. The findings indicate that the most predominant phyla in all samples were Ascomycota (49.89–99.56%) and Basidiomycota (0.33–25.78%). In healthy endosphere samples, Glomeromycota (0.08–1.17%) was the only predominant phylum. In diseased endosphere samples, Olpidiomycota (0.04–1.75%) was the only predominant phylum. At the genus level, Penicillium (0.47–35.21%) was more abundant in rhizosphere soil, while Paraphoma (3.48–91.16%) was predominant in the endosphere roots of faba bean plants. Significant differences were observed in the alpha diversity of rhizosphere samples from different germplasm resources (p < 0.05). The fungal community structures were clearly distinguished between rhizosphere and endosphere samples and between healthy and diseased endosphere samples (p < 0.05). Saccharomyces was significantly enriched in diseased endosphere samples, whereas Apiotrichum was enriched in healthy endosphere samples. Vishniacozyma and Phialophora were enriched in diseased rhizosphere samples, while Pseudogymnoascus was enriched in healthy rhizosphere samples. Diseased samples displayed more strongly correlated genera than healthy samples. Saprotrophs accounted for a larger proportion of the fungal microbes in rhizosphere soil than in endosphere roots. This study provides a better understanding of the composition and diversity of fungal communities in the rhizosphere and endosphere of faba bean plants as well as a theoretical guidance for future research on the prevention or control of faba bean root rot disease. [ABSTRACT FROM AUTHOR]