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Alcohol abuse and alcoholic liver diseases (ALD) are globally prevalent, with alcohol-induced gut microbiota dysbiosis playing a key role in ALD pathogenesis. Synbiotic (combinations of probiotics and prebiotics) are recognized as effective in reducing inflammation in ALD. Bacillus coagulans, a probiotic with favorable industrial and functional traits (e.g., sporulation, lactic acid production), shows potential in treating intestinal diseases. Here, we investigated the effects of B. coagulans, alone or combined with pectin, on ethanol-induced ALD in mice. Synbiotic supplementation (B. coagulans + pectin) more significantly alleviated ethanol-induced ALD severity than B. coagulans or pectin alone. Relative to the ethanol group, synbiotic treatment significantly reduced hepatic inflammatory injury and lipid accumulation, downregulated proinflammatory factors (TNF-α, IL-1β, myeloperoxidase [MPO]), and upregulated tight junction proteins and mucins—enhancing intestinal barrier function. Moreover, these supplements modulated gut microbiota composition and enhanced short-chain fatty acids (SCFAs) production by increasing the abundance of beneficial SCFA-producing bacteria (Muribaculaceae, Akkermansia). In summary, changes in tight junction proteins, cytokines and hepatic injury markers indicate that the synbiotic alleviated overall inflammation in the experimental ALD model and exerted a greater therapeutic effect than B. coagulans or pectin alone.

RNA degradation using ribonuclease targeting chimeras (RiboTACs) is a promising approach for cancer therapy. However, potential off-target degradation is a serious issue. Here, a RiboTAC is designed for tumor microenvironment triggered activation. The tumor microenvironment activated RiboTAC (TaRiboTAC) incorporates two pre-miR-21 binders, a near-infrared fluorophore IR780, an RGD targeting peptide and a phenylboronic acid caged ribonuclease recruiter. The caged ribonuclease recruiter is embedded in the molecule and exposed in acidic pH, the phenylboronic acid cage is removed by H 2 O 2 making the TaRiboTAC responsive to the acidic and high H 2 O 2 levels in the tumor microenvironment. It is shown the TaRiboTAC targets tumor tissue and degrades pre-miR-21. The degradation of pre-miR-21 by TaRiboTACs significantly increases the radiotherapeutic susceptibility of cancer cells achieving efficient suppression of human lung adenocarcinoma A549 tumors in living mice. Off-target effects have limited RNA degradation approaches. Here, the authors develop a tumor microenvironment-activated ribonuclease targeting chimera (RiboTAC) demonstrating H 2 O 2 and acid activated degradation of pre-miR-21, which was effective in restoring radiosensitivity in lung cancer.

Individuals exposed to elevated noise levels experience heightened emotional intensity, leading to increased cognitive disruption and a higher likelihood of accidents. This study seeks to investigate the impact of noise exposure on human cognitive performance, and the moderating role of emotion. Twelve healthy male college-age students underwent exposure to three noise conditions, each characterized by different sound pressure levels and sharpness. Each condition included an initial acoustic/thermal adaption period lasting approximately 40 min, followed by intermittent questionnaire tests and a battery of computerized cognitive tests. Statistical analysis revealed that reducing noise levels proved advantageous, enhancing perceived sound quality, positive emotions, and auditory perception abilities, while concurrently reducing false alerts and accelerating execution speed. Many of these effects were found to be counteracted by elevated sharpness. Correlation analyses and partial least squares structural equation modeling (PLS-SEM) results suggested that human emotions mediate the relationship between noise exposure and cognitive performance. The potential underlying mechanism suggests that negative feelings towards noise contribute to poor emotional states, subsequently influencing cognitive processes and impairing executive function. The outcomes of this study provide valuable insights into the mechanism of noise exposure and its effects on human cognition and subjective perceptions.

Twelve healthy male college-age students were recruited to investigate the effects of different noise exposure conditions on complex task performance and vigilance. During each noise exposure, the Multi-Attribute Task Battery (MATB) with low, medium, and high mental workloads were conducted in the order designated by the Latin square method. Meanwhile, a psychomotor vigilance test (PVT) was used to evaluate human vigilance. Heart rate variability (HRV) signals were also collected while participants performed the tasks. The generalized additive mixed-effect model (GAMM) results showed that the increased mental workload had an inverted U-shaped effect on MATB task performance. Noise exposure had no significant impact on the overall performance of MATB tasks. However, when exposed to increased noise sharpness at low mental workloads, Tracking Task (TRA) performance significantly decreased, whereas the System Monitoring Task (SYS) performance was significantly improved. In addition, higher noise sound pressure level and sharpness would impair human vigilance, which was reflected in a lower mean sample entropy of HRV and worse performance on the PVT. The results indicated that noise control in the workplace should consider both sound pressure level and sharpness.

It is known that high dust concentrations are severely hazardous to health of miners and the safe operations of coal mines. The results of the suppressions of coal dust via chemical dust suppressant methods have been of critical significance, and these methods have been widely applied in coal mines. In this research study, a type of complex dust suppressant composed of surfactants, synergists, and cellulose was prepared. The prepared suppressant was characterized by a high wetting ability and adhesive capacity. The results of the performance tests of this study’s proposed complex dust suppressant showed that its dust sedimentation time was only four seconds, which was observed to be much shorter than that of water alone. Also, the proposed suppressant displayed a viscosity which was 25 times that of water. In this study’s field tests, the proposed complex dust suppressant was used for dust control in a mining roadway of the Zhangcun Coal Mine. The field test results revealed that the average suppression efficiencies of the total dust and respirable dust had reached 89.2% and 87.7%, respectively. Furthermore, a 44.5% increase in the control of the total dust had been observed, and a 65.6% increase in the control of the respirable dust had been achieved with the proposed method, when compared with the results of the previously used water curtain technology.

Twelve healthy male students were recruited to investigate the physiological response to different noise exposure and mental workload (MW) conditions, while performing multi-attribute task battery (MATB) tasks. The experiments were conducted under three noise exposure conditions, with different sound pressure levels and sharpness. After adaptation to each noise condition, the participants were required to perform the resting test and the MATB task tests with low, medium, and high MW. The electroencephalogram (EEG), electrocardiogram (ECG), and eye movement data were obtained, during the periods when participants were in the resting and task taking state. The results showed that subjects’ physiological responses at rest were unaffected by noise exposure conditions. However, during the execution of MATB tasks, the elevated sound pressure level and increased sharpness were significantly correlated with increased mean pupil diameter and heart rate variability (HRV). These responses suggested that the human body defends itself through physiological regulation when noise causes adverse effects. If the negative effects of noise were more severe, this could damage the body’s health and result in a significant drop in task performance. The elevated mental demands led to increased stress on the subjects, which was reflected in a considerable increase in theta relative power. Either high or low MW was related with reduced saccade amplitude and a decrease in weighted task performance, indicating an inverted U-shaped relationship between workload level and work performance.

Purpose By investigating trust in the organization as a mediator and traditionality as a moderator, this study aims to examine the effect perceived organizational exploitation poses on frontline hotel employees’ service performance. Design/methodology/approach A three-wave survey that targets 219 supervisor–subordinate dyads from four Chinese hotels was conducted to test the hypotheses. The authors used SPSS 20.0 and AMOS 21.0 to analyze the data and verify the theoretical model. Findings This study found that perceived organizational exploitation exerts a destructive impact on frontline hotel employees’ service performance. Trust in the organization is a full mediator of the link connecting perceived organizational exploitation to service performance. Furthermore, traditionality weakens perceived organizational exploitation’s impact on trust in the organization and subsequent service performance. Practical implications The authors’ findings remind hotels to cease exploiting their employees to avoid compromising service performance. Hotels should also endeavor to instill trust among employees toward the hotel and allocate more attention to employees with lower levels of traditionality. Originality/value First, to the best of the authors’ knowledge, this study is among the first to explore the impact of perceived organizational exploitation on frontline hotel employees’ service performance. Second, this study reveals a novel mechanism underlying the connection between perceived organizational exploitation and service performance. Finally, this study identifies frontline hotel employees’ traditionality as a vital moderator that mitigates the negative relationships among perceived organizational exploitation, trust in the organization and service performance.

Tumor-targeted radiopharmaceuticals have become an attractive modality for tumor diagnosis and treatment in clinics. However, their wide clinical applications are seriously impeded by poor tumor targeting, rapid systemic clearance, and short tumor retention. Therefore, developing advanced radiopharmaceuticals with great tumor specificity and prolonged retention time is highly desirable for efficient tumor treatment. Herein, we report a tumor-targeted covalently anchoring strategy that selectively crosslinks the radiopharmaceuticals to intratumoral macromolecules for prolonged tumor theranostics. A covalent multi-targeted radiopharmaceutical (CMTR) d-IR-2( 125 IRGD) that includes a sulfenic acid-reactive 1,3-cyclohexanedione group was developed. We demonstrated this probe could specifically accumulate at the tumor site and bind to the sulfenated proteins that are overexpressed within tumors, which greatly prevents the efflux of probes in tumor tissues while having faster clearance in healthy tissues resulting in 12 h longer tumor retention than conventional probes for sensitive NIR and SPECT/CT detection of tumors in vivo . More notably, the 131 I-labeled probe could significantly suppress the growth of lung tumor A549. We thus envision that this work may offer a promising approach to developing effective radiopharmaceuticals for precise diagnosis and treatment of various tumors.

Omicron (B.1.1.529), the most heavily mutated SARS-CoV-2 variant so far, is highly resistant to neutralizing antibodies, raising concerns about the effectiveness of antibody therapies and vaccines 1 , 2 . Here we examined whether sera from individuals who received two or three doses of inactivated SARS-CoV-2 vaccine could neutralize authentic Omicron. The seroconversion rates of neutralizing antibodies were 3.3% (2 out of 60) and 95% (57 out of 60) for individuals who had received 2 and 3 doses of vaccine, respectively. For recipients of three vaccine doses, the geometric mean neutralization antibody titre for Omicron was 16.5-fold lower than for the ancestral virus (254). We isolated 323 human monoclonal antibodies derived from memory B cells in triple vaccinees, half of which recognized the receptor-binding domain, and showed that a subset (24 out of 163) potently neutralized all SARS-CoV-2 variants of concern, including Omicron. Therapeutic treatments with representative broadly neutralizing monoclonal antibodies were highly protective against infection of mice with SARS-CoV-2 Beta (B.1.351) and Omicron. Atomic structures of the Omicron spike protein in complex with three classes of antibodies that were active against all five variants of concern defined the binding and neutralizing determinants and revealed a key antibody escape site, G446S, that confers greater resistance to a class of antibodies that bind on the right shoulder of the receptor-binding domain by altering local conformation at the binding interface. Our results rationalize the use of three-dose immunization regimens and suggest that the fundamental epitopes revealed by these broadly ultrapotent antibodies are rational targets for a universal sarbecovirus vaccine. Individual antibodies identified in the blood of people triple-vaccinated against SARS-CoV-2 predominantly bind spike protein and are highly effective at neutralizing SARS-CoV-2 variants, including Omicron (B.1.1.529).

Due to the limitations of current technology and budget, as well as the influence of various factors, obtaining remote sensing images with high-temporal and high-spatial (HTHS) resolution simultaneously is a major challenge. In this paper, we propose the GAN spatiotemporal fusion model Based on multiscale and convolutional block attention module (CBAM) for remote sensing images (MCBAM-GAN) to produce high-quality HTHS fusion images. The model is divided into three stages: multi-level feature extraction, multi-feature fusion, and multi-scale reconstruction. First of all, we use the U-NET structure in the generator to deal with the significant differences in image resolution while avoiding the reduction in resolution due to the limitation of GPU memory. Second, a flexible CBAM module is added to adaptively re-scale the spatial and channel features without increasing the computational cost, to enhance the salient areas and extract more detailed features. Considering that features of different scales play an essential role in the fusion, the idea of multiscale is added to extract features of different scales in different scenes and finally use them in the multi loss reconstruction stage. Finally, to check the validity of MCBAM-GAN model, we test it on LGC and CIA datasets and compare it with the classical algorithm for spatiotemporal fusion. The results show that the model performs well in this paper.