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Background Long COVID is a common problem in the recovery period of coronavirus disease (COVID-19). The prevention and treatment of long COVID has become the focus of the medical fields of COVID-19. It is important to clarify the situation of long COVID in China and find out the follow-up research route, thus providing evidence-based evidence for clinical practice. Objective To explore the characteristics of long COVID in China, aiming to provide references for the follow-up research. Methods From January 2023 to August 2023, a self-made survey questionnaire was used to investigate the current situation of long COVID in China. The questionnaire included general information, such as gender and age, treatment expectations, symptoms and signs in acute and recovery period, etc. Results A total of 1 001 questionnaires were collected, including 901 people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and 585 (64.9%) people with long COVID. Binary Logistic regression analysis showed that female (OR=2.000, 95%CI=1.477-2.705, P

Mesenchymal stem cells (MSCs) are highly effective in the treatment of acute liver failure (ALF). The efficacy of MSCs is closely related to the inflammatory environment. Therefore, we investigated the functional changes of MSCs in response to interleukin‐33 (IL‐33) stimulation. The results showed that bone marrow mesenchymal stem cells (BMSCs) pretreated with IL‐33 had increased CCR2 expression, targeted CCL2 in the injured liver tissue, and improved the migration ability. Under LPS stimulation, the NF‐κB pathway of BMDM was activated, and its phenotype polarized to the M1‐type, while BMSCs pretreated with IL‐33 inhibited the NF‐κB pathway and enhanced M2 macrophage polarization. The M2‐type macrophages could further inhibit hepatocytes inflammation, reduce hepatocytes apoptosis, and promote hepatocytes repair. These results suggest that IL‐33 can enhance the efficacy of BMSCs in ALF and provide a new strategy for cell therapy of liver diseases. [ABSTRACT FROM AUTHOR]

Based on the properties of photodynamic therapy (PDT) and magnetic resonance imaging (MRI), combining them to construct multifunctional nanotheranostics can leverage strengths and avoid weaknesses for tumor diagnosis and treatment. However, certain problems remain unsolved, notably the short observation window caused by insufficient retention time. In this study, a GSH‐responsive shape‐transformable nanotheranostics Gd‐Ce6‐FFVLGGGC‐SS‐PEG are designed (abbreviated as GdCFS) by combining a single metal Gd with Ce6, and peptide (Phe‐Phe‐Val‐Leu‐Gly‐Gly‐Gly‐Cys) disulfide‐conjugated with polyethylene glycol (PEG) to perform dual‐modal T1/T2 MRI specifically at the tumor site. Due to its amphiphilic features, GdCFS can self‐assemble to spherical nanoparticles, while transforming to nanofibers (NFs) in the presence of intracellular overexpressed GSH stimuli. After NFs formation, the hydrophobic core of GdCFS is exposed, resulting in T1 positive contrast enhancement, whereas NFs can simultaneously achieve T2 negative contrast enhancement. Furthermore, GSH depletion can cause imbalance in intracellular redox state, ultimately improving PDT efficacy. GdCFS benefits from the shape‐transformation in terms of sufficient retention time, thus positively minimizing the toxicity risk. On the tumor model of nasopharyngeal carcinoma, in vivo and in vitro outcomes confirm that GdCFS can be a promising candidate for early diagnosis, real‐time monitoring, and precise treatment of tumors with great biocompatibility. [ABSTRACT FROM AUTHOR]

Far-red lights (FRs), with a wavelength range between 700 and 800 nm, have substantial impacts on plant growth, especially horticultural crops. Previous studies showed conflicting results on the effects of FRs on vegetable growth and quality. Therefore, we conducted a meta-analysis on the influence of FRs on vegetable growth, aiming to provide a comprehensive overview of their effects on the growth and nutritional indicators of vegetables. A total of 207 independent studies from 55 literature sources were analyzed. The results showed that FR treatment had significant effects on most growth indicators, including increasing the fresh weight (+25.27%), dry weight (+21.99%), plant height (+81.87%), stem diameter (+12.91%), leaf area (+18.57%), as well as reducing the content of chlorophyll (−11.88%) and soluble protein (−11.66%), while increasing soluble sugar content (+19.12%). Further subgroup analysis based on various factors revealed significant differences in the effects of FR on different physiological indicators, such as FR intensity, plant species, duration of FR exposure, and the ratio of red light to FR. In general, moderate FR treatment is beneficial for vegetable growth. This study provides important references and guidelines for optimizing the application of FR in the future. [ABSTRACT FROM AUTHOR]

Trap states in organic solar cells (OSCs) can capture free charges, leading to a reduction in current density and significant energy loss. Since charge collection is primarily dependent on the interface layer, minimizing trap states at interfaces can effectively suppress energy losses, a topic that has been rarely explored. Herein, an interface strategy is proposed by combining Me‐4PACz and PEDOT:PSS to mitigate the trap‐assisted nonradiative recombination at the hole transport layer (HTL). OSCs based on the Me‐4PACz/PEDOT:PSS exhibit reduced trap densities and low energy losses compared to devices fabricated with a single‐layer HTL. This reduction can be attributed to a lower nonradiative recombination rate during hole transport at the interface. Changes in the work function of the two interlayers due to contact result in the existence of a built‐in potential inside the composite interlayer, promoting charge collection and reducing energy loss from charge recombination. Furthermore, the composite HTL interface induces vertical phase separation of active layer, leading to significant improvements of the fill factor for OSCs. As a result, high power conversion efficiencies (PCEs) of 18.70% and 19.02% are achieved for binary all‐polymer solar cells and polymer donor/small molecule acceptor solar cells, respectively. [ABSTRACT FROM AUTHOR]

The development of high‐efficiency organic solar cells (OSCs) processed from non‐halogenated solvents is crucially important for their scale‐up industry production. However, owing to the difficulty of regulating molecular aggregation, there is a huge efficiency gap between non‐halogenated and halogenated solvent processed OSCs. Herein, we fabricate o‐xylene processed OSCs with approaching 20 % efficiency by incorporating a trimeric guest acceptor named Tri‐V into the PM6:L8‐BO‐X host blend. The incorporation of Tri‐V effectively restricts the excessive aggregation of L8‐BO‐X, regulates the molecular packing and optimizes the phase‐separation morphology, which leads to mitigated trap density states, reduced energy loss and suppressed charge recombination. Consequently, the PM6:L8‐BO‐X:Tri‐V‐based device achieves an efficiency of 19.82 %, representing the highest efficiency for non‐halogenated solvent‐processed OSCs reported to date. Noticeably, with the addition of Tri‐V, the ternary device shows an improved photostability than binary PM6:L8‐BO‐X‐based device, and maintains 80 % of the initial efficiency after continuous illumination for 1380 h. This work provides a feasible approach for fabricating high‐efficiency, stable, eco‐friendly OSCs, and sheds new light on the large‐scale industrial production of OSCs. [ABSTRACT FROM AUTHOR]

The interplay between the immune system and cancer underscores the central role of immunotherapy in cancer treatment. In this context, the innate immune system plays a critical role in preventing tumor invasion. Myeloid differentiation factor 88 (MyD88) is crucial for innate immunity, and activation of MyD88 promotes the production of inflammatory cytokines and induces infiltration, polarization, and immune escape of immune cells in the tumor microenvironment. Additionally, abnormal MyD88 signaling induces tumor cell proliferation and metastasis, which are closely associated with poor prognosis. Therefore, MyD88 could serve as a novel tumor biomarker and is a promising target for cancer therapy. Current strategies targeting MyD88 including inhibition of signaling pathways and protein multimerization, have made substantial progress, especially in inflammatory diseases and chronic inflammation-induced cancers. However, the specific role of MyD88 in regulating tumor immunity and tumorigenic mechanisms remains unclear. Therefore, this review describes the involvement of MyD88 in tumor immune escape and disease therapy. In addition, classical and non-classical MyD88 inhibitors were collated to provide insights into potential cancer treatment strategies. Despite several challenges and complexities, targeting MyD88 is a promising avenue for improving cancer treatment and has the potential to revolutionize patient outcomes. [ABSTRACT FROM AUTHOR]

The incorporation of real-world data (RWD) into medical product development and evaluation has exhibited consistent growth. However, there is no universally adopted method of how much information to borrow from external data. This paper proposes a study design methodology called Tree-based Monte Carlo (TMC) that dynamically integrates patients from various RWD sources to calculate the treatment effect based on the similarity between clinical trial and RWD. Initially, a propensity score is developed to gauge the resemblance between clinical trial data and each real-world dataset. Utilizing this similarity metric, we construct a hierarchical clustering tree that delineates varying degrees of similarity between each RWD source and the clinical trial data. Ultimately, a Gaussian process methodology is employed across this hierarchical clustering framework to synthesize the projected treatment effects of the external group. Simulation result shows that our clustering tree could successfully identify similarity. Data sources exhibiting greater similarity with clinical trial are accorded higher weights in treatment estimation process, while less congruent sources receive comparatively lower emphasis. Compared with another Bayesian method, meta-analytic predictive prior (MAP), our proposed method’s estimator is closer to the true value and has smaller bias. [ABSTRACT FROM AUTHOR]

The low prevalence effect (LPE) is a cognitive limitation commonly found in visual search tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject to the LPE. However, not all road hazards are equal; a paper bag floating down the road is much less dangerous than a rampaging moose. Here, we asked whether perceived hazardousness modulated the LPE. To examine this, we took a dataset in which 48 raters assessed the perceived dangerousness of hazards in recorded road videos (Song et al. in Behav Res Methods, 2023. https://doi.org/10.3758/s13428-023-02299-8) and correlated the ratings with data from a hazard detection task using the same stimuli with varying hazard prevalence rates (Kosovicheva et al. in Psychon Bull Rev 30(1):212–223, 2023. https://doi.org/10.3758/s13423-022-02159-0). We found that while hazard detectability increased monotonically with hazardousness ratings, the LPE was comparable across perceived hazardousness levels. Our findings are consistent with the decision criterion account of the LPE, in which target rarity induces a conservative shift in criterion. Importantly, feedback was necessary for a large and consistent LPE; when participants were not given feedback about their accuracy, the most dangerous hazards showed a non-significant LPE. However, eliminating feedback was not enough to induce the opposite of the LPE—prevalence induced concept change (Levari et al. in Science 360(6396):1465–1467, 2018. https://doi.org/10.1126/science.aap8731), in which participants adopt a more liberal criterion when instances of a category become rare. Our results suggest that the road hazard LPE may be somewhat affected by the inherent variability of driving situations, but is still observed for highly dangerous hazards. [ABSTRACT FROM AUTHOR]

Oligomer acceptors in organic solar cells (OSCs) have garnered substantial attention owing to their impressive power conversion efficiency (PCE) and long‐term stability. However, the simple and efficient synthesis of oligomer acceptors with higher glass transition temperatures (Tg) remains a formidable challenge. In this study, we propose an innovative strategy for the synthesis of tetramers, denoted as Tet‐n, with elevated Tgs, achieved through only two consecutive Stille coupling reactions. Importantly, our strategy significantly reduces the redundancy in reaction steps compared to conventional methods for linear tetramer synthesis, thereby improving both reaction efficiency and yield. Furthermore, the OSC based on PM6:Tet‐1 attains a high PCE of 17.32 %, and the PM6:L8‐BO:Tet‐1 ternary device achieves an even more higher PCE of 19.31 %. Remarkably, the binary device based on the Tet‐1 tetramer demonstrates outstanding operational stability, retaining 80 % of the initial efficiency (T80) even after 1706 h of continuous illumination, which is primarily attributed to the enhanced Tg (247 °C) and lower diffusion coefficient (1.56×10−27 cm2 s−1). This work demonstrates the effectiveness of our proposed approach in the straightforward and efficient synthesis of tetramers materials with higher Tgs, thus offering a viable pathway for developing high‐efficiency and stable OSCs. [ABSTRACT FROM AUTHOR]