DL-3-n-Butylphthalide Ameliorates Post-stroke Emotional Disorders by Suppressing Neuroinflammation and PANoptosis.

Post-stroke emotional disorders such as post-stroke anxiety and post-stroke depression are typical symptoms in patients with stroke. They are closely associated with poor prognosis and low quality of life. The State Food and Drug Administration of China has approved DL-3-n-butylphthalide (NBP) as a treatment for ischemic stroke (IS). Clinical research has shown that NBP alleviates anxiety and depressive symptoms in patients with IS. Therefore, this study explored the role and molecular mechanisms of NBP in cases of post-stroke emotional disorders using network pharmacology and experimental validation. The results showed that NBP treatment significantly increased the percentage of time spent in the center of the middle cerebral artery occlusion (MCAO) rats in the open field test and the percentage of sucrose consumption in the sucrose preference test. Network pharmacology results suggest that NBP may regulate neuroinflammation and cell death. Further experiments revealed that NBP inhibited the toll-like receptor 4/nuclear factor kappa B signaling pathway, decreased the level of pro-inflammatory cytokines, including tumor necrosis factor-α, interleukin-1ß, and interleukin-6, and M1-type microglia markers (CD68, inducible nitric oxide synthase), and reduced the expression of PANoptosis-related molecules including caspase-1, caspase-3, caspase-8, gasdermin D, and mixed lineage kinase domain-like protein in the hippocampus of the MACO rats. These findings demonstrate that the mechanisms through which NBP ameliorates post-stroke emotional disorders in rats are associated with inhibiting neuroinflammation and PANoptosis, providing a new strategy and experimental basis for treating post-stroke emotional disorders.

Ultra-high b-value DWI accurately identifies isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas.

OBJECTIVES: To distinguish isocitrate dehydrogenase (IDH) genotypes and tumor subtypes of adult-type diffuse gliomas based on the fifth edition of the World Health Organization classification of central nervous system tumors (WHO CNS5) in 2021 using standard, high, and ultra-high b-value diffusion-weighted imaging (DWI). MATERIALS AND METHODS: This prospective study enrolled 70 patients with adult-type diffuse gliomas who underwent multiple b-value DWI. Apparent diffusion coefficient (ADC) values including ADCb500/b1000, ADCb500/b2000, ADCb500/b3000, ADCb500/b4000, ADCb500/b6000, ADCb500/b8000, and ADCb500/b10000 in tumor parenchyma (TP) and contralateral normal-appearing white matter (NAWM) were calculated. The ADC ratios of TP/NAWM were assessed for correlations with IDH genotypes, tumor subtypes, and Ki-67 status; diagnostic performances were compared. RESULTS: All ADCs were significantly higher in IDH mutant gliomas than in IDH wild-type gliomas (p < 0.01 for all); ADCb500/b8000 had the highest area under the curve (AUC) of 0.866. All ADCs were significantly lower in glioblastoma than in astrocytoma (p < 0.01 for all). ADCs other than ADCb500/b1000 were significantly lower in glioblastoma than in oligodendroglioma (p < 0.05 for all). ADCb500/b8000 and ADCb500/b10000 were significantly higher in oligodendroglioma than in astrocytoma (p = 0.034 and 0.023). The highest AUCs were 0.818 for ADCb500/b6000 when distinguishing glioblastoma from astrocytoma, 0.979 for ADCb500/b8000 and ADCb500/b10000 when distinguishing glioblastoma from oligodendroglioma, and 0.773 for ADCb500/b10000 when distinguishing astrocytoma from oligodendroglioma. Additionally, all ADCs were negatively correlated with Ki-67 status (p < 0.05 for all). CONCLUSION: Ultra-high b-value DWI can reliably separate IDH genotypes and tumor subtypes of adult-type diffuse gliomas using WHO CNS5 criteria. CLINICAL RELEVANCE STATEMENT: Ultra-high b-value diffusion-weighted imaging can accurately distinguish isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas, which may facilitate personalized treatment and prognostic assessment for patients with glioma. KEY POINTS: • Ultra-high b-value diffusion-weighted imaging can accurately distinguish subtle differences in water diffusion among biological tissues. • Ultra-high b-value diffusion-weighted imaging can reliably separate isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas. • Compared with standard b-value diffusion-weighted imaging, high and ultra-high b-value diffusion-weighted imaging demonstrate better diagnostic performances.

A late eating midpoint is associated with increased risk of diabetic kidney disease: a cross-sectional study based on NHANES 2013-2020.

BACKGROUND: Modifying diet is crucial for diabetes and complication management. Numerous studies have shown that adjusting eating habits to align with the circadian rhythm may positively affect metabolic health. However, eating midpoint, eating duration, and their associations with diabetic kidney disease (DKD) are poorly understood. METHODS: The National Health and Nutrition Examination Survey (2013-2020) was examined for information on diabetes and dietary habits. From the beginning and ending times of each meal, we calculated the eating midpoint and eating duration. Urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g and/or estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 were the specific diagnostic criteria for DKD. RESULTS: In total, details of 2194 subjects with diabetes were collected for analysis. The overall population were divided into four subgroups based on the eating midpoint quartiles. The prevalence of DKD varied noticeably (P = 0.037) across the four categories. When comparing subjects in the second and fourth quartiles of eating midpoint to those in the first one, the odds ratios (ORs) of DKD were 1.31 (95% CI, 1.03 to 1.67) and 1.33 (95% CI, 1.05 to 1.70), respectively. And after controlling for potential confounders, the corresponding ORs of DKD in the second and fourth quartiles were 1.42 (95% CI, 1.07 to 1.90) and 1.39 (95% CI, 1.04 to 1.85), respectively. CONCLUSIONS: A strong correlation was found between an earlier eating midpoint and a reduced incidence of DKD. Eating early in the day may potentially improve renal outcomes in patients with diabetes.

Temperature-compensated high strain measurement based on a Fabry-Perot interferometer with the virtual-assisted Vernier effect.

A highly sensitive optical fiber Fabry-Perot interferometer (FPI) for strain measurement with temperature compensation is proposed. Instead of using another actual reference interferometer, a virtual FPI is constructed to superpose with the sensing FPI to form the Vernier effect. The fundamental and the first-order harmonic Vernier effect are generated to increase the sensitivity by adjusting the parameter of the virtual FPI. In order to separate the strain from the environment temperature, an FBG is cascaded to distinguish the applied temperature. Experimental results demonstrate that, with the help of the fundamental Vernier effect, the sensitivity and temperature of the FPI increases from 1.05 pm/°C to 10.63 pm/°C in the temperature range of 40-120°C, and the sensitivity of strain increases from 2.635 pm/µÎµ to 33.11 pm/µÎµ in the strain range of 0-400 µÎµ. In order to access the tracking points more easily and further enhance the sensitivities, the first-order harmonic Vernier effect is generated by modifying the virtual FPI. Results show that the temperature and strain sensitivities are 21.25 pm/°C and 62.25 pm/µÎµ, respectively. In addition, with the help of the FBG, the strain can be separated from the temperature by solving the cross-sensitivity matrix.

Status quo and influencing factors of multiprofessional and multidisciplinary teamwork for early mobilization in mechanically ventilated patients in ICUs: A multi-centre survey study.

AIM: To understand the status quo of multiprofessional and multidisciplinary collaboration for early mobilization of mechanically ventilated patients in Chinese ICUs and identify any factors that may influence this practice. DESIGN: A multi-centre cross-sectional survey. METHODS: From October to November 2022, the convenience sampling method was used to select ICU multiprofessional and multidisciplinary early mobility members (including physicians, nurses and physiotherapists) from 27 tertiary general hospitals in 14 provinces, cities and autonomous regions of China. They were asked to complete an author-developed questionnaire on the status of collaboration and the Assessment of Inter-professional Team Collaboration Scale. A multiple linear regression model was used to analyse the factors associated with the level of collaboration. RESULTS: Physicians, nurses and physiotherapists mostly suffered from the lack of normative protocols, unclear division of responsibilities and unclear multiprofessional and multidisciplinary teams when using a collaborative approach to early activities. Multiple linear regression analysis showed that the number of ICU patients managed, the existence of norms and processes, the attitude of colleagues around them, the establishment of a team, communication methods and activity leaders were significant influences on the level of collaboration among members of the multiprofessional and multidisciplinary early activities. CONCLUSION: The collaboration of multiprofessional and multidisciplinary early activity members for mechanically ventilated patients in the ICU remains unclear, and the collaboration strategy needs to be constructed and improved, taking into account China's human resources and each region's economic development level. IMPACT: This study investigates the collaboration status of multiprofessional and multidisciplinary activity members from the perspective of teamwork, analyses the reasons affecting the level of collaboration and helps to develop better teamwork strategies to facilitate the implementation of early activities. PATIENT OR PUBLIC CONTRIBUTION: The participants in this study were multiprofessional and multidisciplinary medical staff who performed early activities for ICU patients.

Challenges and Suggestions of Ethical Review on Clinical Research Involving Brain-Computer Interfaces.

Brain-computer interface (BCI) technology is rapidly advancing in medical research and application. As an emerging biomedical engineering technology, it has garnered significant attention in the clinical research of brain disease diagnosis and treatment, neurological rehabilitation, and mental health. However, BCI also raises several challenges and ethical concerns in clinical research. In this article, the authors investigate and discuss three aspects of BCI in medicine and healthcare: the state of international ethical governance, multidimensional ethical challenges pertaining to BCI in clinical research, and suggestive concerns for ethical review. Despite the great potential of frontier BCI research and development in the field of medical care, the ethical challenges induced by itself and the complexities of clinical research and brain function have put forward new special fields for ethics in BCI. To ensure "responsible innovation" in BCI research in healthcare and medicine, the creation of an ethical global governance framework and system, along with special guidelines for cutting-edge BCI research in medicine, is suggested.

Candida tropicalis oligopeptide transporters assist in the transmembrane transport of the antimicrobial peptide CGA-N9.

Candida tropicalis is often reported as the second or third most common pathogen causing fungal infections. Antimicrobial peptides (AMPs) have attracted increasing attention for their broad-spectrum antimicrobial properties and low cytotoxicity. Our previous studies have shown that CGA-N9, a non-membrane-rupturing AMP, crosses the cell membrane to exert anticandidal activity. We speculate that there are some related transporters that assist in the transmembrane transport of CGA-N9. In this study, the relationship between CGA-N9 lethality kinetics and its real-time transmembrane amount in C. tropicalis cells was investigated. The results demonstrated that there was a positive correlation between its candicidal activity and transmembrane amount. A total of 12 oligopeptide transporter (OPT) coding sequences (CDSs) were cloned from C. tropicalis by using the conservative OPT gene sequences of Candida spp. to design primers and were named C. tropicalis OPTs (CtOPTs). The results of RT‒qPCR demonstrated that the expression levels of CtOPT1, CtOPT9 and CtOPT12 were correlated with the CGA-N9 transmembrane amount in a time-dependent manner. The results of molecular docking demonstrated that CtOPT1, CtOPT9 and CtOPT12 interact strongly with CGA-N9. Therefore, CtOPT1, CtOPT9 and CtOPT12 were predicted to assist in the transmembrane transport of the AMP CGA-N9.

Treatment of FIGO 2018 stage IIIC cervical cancer with different local tumor factors.

BACKGROUND: To compare the oncological outcomes of patients with FIGO 2018 stage IIIC cervical cancer (CC) involving different local tumor factors who underwent abdominal radical hysterectomy (ARH), neoadjuvant chemotherapy and radical surgery (NACT), or radical chemoradiotherapy (R-CT). METHODS: Based on tumor staging, patients with stage IIIC were divided into T1, T2a, T2b, and T3 groups. Kaplan-Meier and Cox proportional hazards regression analysis were used to compare their overall survival (OS) and disease-free survival (DFS) of 5 years. RESULTS: We included 4,086 patients (1,117, 1,019, 869, and 1,081 in the T1, T2a, T2b, and T3 groups, respectively). In the T1 group, NACT was correlated with a decrease in OS (hazard ratio [HR] = 1.631, 95% confidence interval [CI]: 1.150-2.315, P = 0.006) and DFS (HR = 1.665, 95% CI: 1.255-2.182, P < 0.001) than ARH. ARH and NACT were not correlated with OS (P = 0.226 and P = 0.921) or DFS (P = 0.343 and P = 0.535) than R-CT. In the T2a group, NACT was correlated with a decrease in OS (HR = 1.454, 95% CI: 1.057-2.000, P = 0.021) and DFS (HR = 1.529, 95% CI: 1.185-1.974, P = 0.001) than ARH. ARH and NACT were not correlated with OS (P = 0.736 and P = 0.267) or DFS (P = 0.714 and P = 0.087) than R-CT. In the T2b group, NACT was correlated with a decrease in DFS (HR = 1.847, 95% CI: 1.347-2.532, P < 0.001) than R-CT nevertheless was not correlated with OS (P = 0.146); ARH was not correlated with OS (P = 0.056) and DFS (P = 0.676). In the T3 group, the OS rates of ARH (n = 10), NACT (n = 18), and R-CT (n = 1053) were 67.5%, 53.1%, and 64.7% (P = 0.941), and the DFS rates were 68.6%, 45.5%, and 61.1%, respectively (P = 0.761). CONCLUSION: R-CT oncological outcomes were not entirely superior to those of NACT or ARH under different local tumor factors with stage IIIC. NACT is not suitable for stage T1, T2a, and T2b. Nevertheless ARH is potentially applicable to stage T1, T2a, T2b and T3. The results of stage T3 require confirmation through further research due to disparity in case numbers in each subgroup.

Ball divergence for the equality test of crossing survival curves.

It is a very common problem to test survival equality using the right-censored time-to-event data in clinical research. Although the log-rank test is popularly used in various studies, it may become insensitive when the proportional hazards assumption is violated. As follows, there have a variety of statistical methods being proposed to identify the discrepancy between crossing survival curves or hazard functions. The omnibus tests against general alternatives are usually preferred due to their wide applicability to complicated scenarios in real applications. In this paper, we propose two novel statistics to estimate the ball divergence using the right-censored survival data, and then implement them in the equality test on survival time in two independent groups. The simulation analysis demonstrates their efficiency in identifying the survival discrepancy. Compared to the existing methods, our proposed methods present higher power in situations with complex distributions, especially when there is a scale shift between groups. Real examples illustrate its advantage in practical applications.

Mesoporous silica stabilized Cu-Fe bimetallic nanozymes for total antioxidant capacity assay of fruit foods.

Total antioxidant capacity (TAC) is currently considered as a vital indicator of food quality in antioxidant ability and attracts much attention for human healthcare. It is thus of great significance to realize the accurate and rapid detection of TAC in foods. Herein, we have constructed a preferable hybrid nanozyme based on the mesoporous silica-stabilized CuO composited Fe3O4 nanoparticles (Fe3O4@MSNs@CuO, FMC NPs), which possess the enhanced peroxidase (POD)-like activity via cascade response for specific and sensitive determination of TAC in fruit foods. The results showed the hybrid nanozyme displayed a remarkable POD-like activity, excellent selectivity and sensitivity, and the limit of detection (LOD) of the colorimetric sensor was 6.13 mM with the concentration range from 10 to 45 mM. Therefore, the fabricated hybrid nanozyme can be regarded as an effective biosensor for the evaluation of antioxidant quality in fruit foods in future. KEY POINTS: • The stabilized bimetallic nanozyme was constructed for TAC analysis in fruits. • The hybrid nanozyme possessed the enhanced POD-like activity by cascading effects. • The nanozyme was an effective biosensor for antioxidant quality evaluation in fruits.

Advances in treatment strategies based on scavenging reactive oxygen species of nanoparticles for atherosclerosis.

The development of atherosclerosis (AS) is closely linked to changes in the plaque microenvironment, which consists primarily of the cells that form plaque and the associated factors they secrete. The onset of inflammation, lipid deposition, and various pathological changes in cellular metabolism that accompany the plaque microenvironment will promote the development of AS. Numerous studies have shown that oxidative stress is an important condition that promotes AS. The accumulation of reactive oxygen species (ROS) is oxidative stress's most important pathological change. In turn, the effects of ROS on the plaque microenvironment are complex and varied, and these effects are ultimately reflected in the promotion or inhibition of AS. This article reviews the effects of ROS on the microenvironment of atherosclerotic plaques and their impact on disease progression over the past five years and focuses on the progress of treatment strategies based on scavenging ROS of nanoparticles for AS. Finally, we also discuss the prospects and challenges of AS treatment.

Metal-organic framework-modulated Fe3O4 composite au nanoparticles for antibacterial wound healing via synergistic peroxidase-like nanozymatic catalysis.

Bacterial wound infections are a serious threat due to the emergence of antibiotic resistance. Herein, we report an innovative hybrid nanozyme independent of antibiotics for antimicrobial wound healing. The hybrid nanozymes are fabricated from ultra-small Au NPs via in-situ growth on metal-organic framework (MOF)-stabilised Fe3O4 NPs (Fe3O4@MOF@Au NPs, FMA NPs). The fabricated hybrid nanozymes displayed synergistic peroxidase (POD)-like activities. It showed a remarkable level of hydroxyl radicals (·OH) in the presence of a low dose of H2O2 (0.97 mM). Further, the hybrid FMA nanozymes exhibited excellent biocompatibility and favourable antibacterial effects against both Gram-negative (Escherichia coli) and Gram-positive (Staphylococcus aureus) bacteria. The animal experiments indicated that the hybrid nanozymes promoted wound repair with adequate biosafety. Thus, the well-designed hybrid nanozymes represent a potential strategy for healing bacterial wound infections, without any toxic side effects, suggesting possible applications in antimicrobial therapy.

Association between the platelet/high-density lipoprotein cholesterol ratio and nonalcoholic fatty liver disease: results from NHANES 2017-2020.

The platelet/high-density lipoprotein cholesterol ratio (PHR) is a novel inflammatory and hypercoagulability marker that represents the severity of metabolic syndrome. Liver metabolic syndrome is manifested by nonalcoholic fatty liver disease (NAFLD), which is associated with inflammation and hypercoagulability. This cross-sectional investigation aimed to identify the relationship between PHR and NAFLD. Participants in the National Health and Nutrition Examination Survey (NHANES) 2017-2020 were evaluated for hepatic steatosis and fibrosis using vibration-controlled transient elastography. The PHR was calculated as the ratio of platelets to high-density lipoprotein cholesterol. Increased PHR was associated with an increased incidence of NAFLD and hepatic fibrosis. Compared with patients in the first PHR quartile, after adjustment for clinical variables, the corresponding odds ratio (OR) for NAFLD in the fourth quartile was 2.36 (95% CI, 1.76 to 3.18) (p < 0.05); however, the OR for hepatic fibrosis was not statistically significant (p > 0.05). Furthermore, restricted cubic spline analyses showed an S-shaped association between PHR and NAFLD and an L-shaped relationship between PHR and hepatic fibrosis. The results support the effectiveness of PHR as a marker for NAFLD and hepatic fibrosis. Therefore, interventions to improve the PHR may be of benefit in reducing the incidence of both hepatic steatosis and fibrosis.

A polynomial algorithm for best-subset selection problem.

Best-subset selection aims to find a small subset of predictors, so that the resulting linear model is expected to have the most desirable prediction accuracy. It is not only important and imperative in regression analysis but also has far-reaching applications in every facet of research, including computer science and medicine. We introduce a polynomial algorithm, which, under mild conditions, solves the problem. This algorithm exploits the idea of sequencing and splicing to reach a stable solution in finite steps when the sparsity level of the model is fixed but unknown. We define an information criterion that helps the algorithm select the true sparsity level with a high probability. We show that when the algorithm produces a stable optimal solution, that solution is the oracle estimator of the true parameters with probability one. We also demonstrate the power of the algorithm in several numerical studies.

Analysis on Efficacy of Hepatic Artery Infusion Chemotherapy with or without Lenvatinib for Unresectable Hepatocellular Carcinoma.

INTRODUCTION: For patients with advanced hepatocellular carcinoma (HCC), hepatic artery infusion chemotherapy (HAIC) is a common and mature treatment, but the safety and efficacy of HAIC combined with lenvatinib for advanced HCC patient treatment remains unclear. Therefore, this study compared the safety and efficacy of HAIC with or without lenvatinib in unresectable HCC patients. METHODS: We retrospectively analyzed 13 unresectable advanced HCC patients who received HAIC monotherapy or combination therapy of HAIC and lenvatinib. Overall survival (OS), disease control rate (DCR), objective response rate (ORR), progression-free survival (PFS), incidence of adverse events (AEs), and changes in liver function were compared between the two groups. We applied a Cox regression analysis to evaluate the independent risk factors affecting survival outcomes. RESULTS: The ORR in the HAIC+lenvatinib group was markedly increased compared to the HAIC group (p < 0.05), while the DCR in the HAIC group was higher (p > 0.05). No notable difference was found between the two groups in median OS and PFS (p > 0.05). Compared to the HAIC+lenvatinib group, more patients had improved liver function in the HAIC group after treatment, but the difference was not dramatical (p > 0.05). The AEs incidence was 100.00% in both groups, which was relieved with corresponding treatment. Besides, Cox regression analysis did not identify independent risk factors related to OS and PFS. CONCLUSION: Combination therapy of HAIC and lenvatinib notably performed better than the HAIC monotherapy in patients with unresectable HCC in terms of ORR and was well tolerated, which deserves further investigation with large-scale clinical trials.

Sex-specific relationships between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort.

Birth weight is an indicator linking intrauterine environmental exposures to later-life diseases, and intrauterine metal exposure may affect birth weight in a sex-specific manner. We investigated sex-specific associations between prenatal exposure to metal mixtures and birth weight in a Chinese birth cohort. The birth weight of 1296 boys and 1098 girls were recorded, and 10 metals in maternal urine samples collected during pregnancy were measured using inductively coupled plasma mass spectrometry. Bayesian Kernel Machine Regression was used to estimate the association of individual metals or metal mixtures and birth weight for gestational age (BW for GA). The model showed a sex-specific relationship between prenatal exposure to metal mixtures and BW for GA with a significant negative association in girls and a non-significant positive association in boys. Cadmium (Cd) and nickel (Ni) were positively and negatively associated with BW for GA in girls, respectively. Moreover, increasing thallium (Tl) concentration lowered the positive association between Cd and BW for GA and enhanced the negative association between Ni and BW for GA in girls. When exposure to other metals increased, the positive association with Cd diminished, whereas the negative association with Ni or Tl increased. Our findings provide evidence supporting the complex effects of intrauterine exposure to metal mixtures on the birth weight of girls and further highlight the sex heterogeneity in fetal development influenced by intrauterine environmental factors.

Integrated metabolite profiling and transcriptome analysis reveal candidate genes involved in the formation of yellow Nelumbo nucifera.

As a worldwide major ornamental flower and a edible plant, lotus (Nelumbo nucifera) is also used as medicine and tea beverage. Here, transcriptome and metabolites of yellow (MLQS) and white (YGB) lotus cultivars during five key flower coloration stages were profiled. 2014 differentially expressed genes were detected with 11 carotenoids in lotus were identified for the first time. Then, regulatory networks between and within functional modules was reconstructed, and the correlation between module-metabolites and gene-metabolites was conducted within 3 core modules. 18 candidate genes related to the formation of yellow flower were screened out and a gene regulatory model for the flower color difference between MLQS and YGB were speculated as follows: The substrate competition between F3'H and F3'5'H and substrate specificity of FLS, together with differential expression of CCD4a and CCD4b were contribute to the differences in flavonoids and carotenoids. Besides, UGT73C2, UGT91C1-2 and SGTase, and regulation of UGTs by transcription factors PLATZ, MADS, NAC031, and MYB308 may also play a role in the upstream regulation. The following verification results indicated that functional differences existed in the coding sequences of NnCCD4b and promoters of NnCCD4a of MLQS and YGB. In all, this study preliminarily reveals the mechanism of yellow flower coloration in lotus and provides new ideas for the study of complex ornamental characters of other plants.

Use of random integration to test equality of high dimensional covariance matrices.

Testing the equality of two covariance matrices is a fundamental problem in statistics, and especially challenging when the data are high-dimensional. Through a novel use of random integration, we can test the equality of high-dimensional covariance matrices without assuming parametric distributions for the two underlying populations, even if the dimension is much larger than the sample size. The asymptotic properties of our test for arbitrary number of covariates and sample size are studied in depth under a general multivariate model. The finite-sample performance of our test is evaluated through numerical studies. The empirical results demonstrate that our test is highly competitive with existing tests in a wide range of settings. In particular, our proposed test is distinctly powerful under different settings when there exist a few large or many small diagonal disturbances between the two covariance matrices.

Willingness to participate in virtual reality technologies: Public adoption and policy perspectives for marine conservation.

Greater efforts are required to educate the public about marine conservation as the marine environment continues to deteriorate over time. A way to remotely travel during the pandemic is provided by virtual reality technologies in marine ecotourism. In order to present a theoretical framework that explains consumers' propensity to participate in virtual reality technology, this study draws on the theories of perceived risk, trust, and attitude. An online survey with 451 respondents was administered in Singapore and structural equation modeling was applied to analyze the data. The results reflect that perceived health risk, perceived financial risk, perceived social risk, and perceived performance risk, mediated by trust and attitude, have a significant influence on consumers' willingness to participate in virtual reality technologies in marine ecotourism. After analyzing their total effects, trust was found to have the highest effect on willingness to participate, followed by attitude, perceived social risk, perceived financial risk, perceived health risk, and perceived performance risk. Overall, the present research offers new perspectives on comprehending the drivers of willingness to participate, as well as implicating policies to raise public awareness of marine conservation, as well as to raise more money to support marine conservation initiatives.

Social media engagement in the maritime industry during the pandemic.

The maritime sectors are suffering severe disruptions as a result of COVID-19. Maritime companies have turned to social media to interact with partners and clear up confusion. However, not every social media post receives the same engagement levels especially during a pandemic. For a more holistic analysis of social media engagement during a pandemic, the Protection Motivation Theory and classical theories such as user gratification and media richness theories were included. The research uses hierarchical regression analysis on information gathered from Facebook posts about COVID-19 made by eighteen different companies from four distinct maritime sectors. It was found that the rate of stakeholder engagement is highly influenced by informational, relational, and entertaining content as well as content that fosters self-efficacy, severity, and vulnerability. Additionally, the stakeholder engagement rate is greatly influenced by posts with greater vividness and fluency, which are characterized by providing external links. This is the first study to look into why stakeholders interact with posts linked to COVID-19 on social media. The findings will help maritime organisations use social media as a management and communication instrument.