Explore the vast range of titles available.

This study aims to empirically investigate the influence of a green brand story strategy on perceived brand authenticity (PBA) and brand trust. The theory of narrative rhetoric is adopted to examine the effect of three rhetorical strategies—anthropomorphism, reversal, and symbolism—on narrative immersion and its effect on PBA. The impact of PBA on brand trust is also examined. The study proposes a research model and conducts two independent online experiments with the aid of a survey research company to observe participant response to stories written with or without the rhetorical strategies. Data collected via the post-experimental survey are used to test the proposed model. Results show that the green brand story with narrative rhetoric positively affects immersion, which in turn enhances PBA, and brand trust is also positively affected. In particular, reversal and symbolism positively impact immersion, but no significant effect is identified between anthropomorphism and immersion. This study provides a new perspective from which the relationships among brand storytelling, PBA, and brand trust may be explored.

Background APETALA2/ETHYLENE RESPONSIVE FACTOR (AP2/ERF) transcription factors play essential roles in plant growth, development, metabolism, and responses to biotic and abiotic stresses. However, few studies concerning AP2/ERF genes in sugarcane which are the most critical sugar and energy crops worldwide. Results A total of 218 AP2/ERF genes were identified in the Saccharum spontaneum genome. Phylogenetic analysis showed that these genes could be divided into four groups, including 43 AP2s, 160 ERFs and Dehydration-responsive element-binding ( DREB ) factors, 11 ABI3/VPs (RAV), and four Soloist genes. These genes were unevenly distributed on 32 chromosomes. The structural analysis of SsAP2/ERF genes showed that 91 SsAP2/ERFs lacked introns. Sugarcane and sorghum had a collinear relationship between 168 SsAP2/ERF genes and sorghum AP2/ERF genes that reflected their similarity. Multiple cis-regulatory elements (CREs) present in the SsAP2/ERF promoter were related to abiotic stresses, suggesting that SsAP2/ERF activity could contribute to sugarcane adaptation to environmental changes. The tissue-specific analysis showed spatiotemporal expression of SsAP2/ERF in the stems and leaves of sugarcane at different development stages. In ten sugarcane samples, 39 SsAP2/ERFs were not expressed, whereas 58 SsAP2/ERFs were expressed in all samples. Quantitative PCR experiments showed that SsERF52 expression was up-regulated under salt stress, but suppressed under dehydration stress. SsSoloist4 had the most considerable upregulation in response to treatment with the exogenous hormones ABA and GA. Within 3 h of ABA or PEG6000 treatment, SsSoloist4 expression was up-regulated, indicating that this gene could play a role in the responses to ABA and GA-associated dehydration stress. Analysis of AP2/ERF gene expression patterns under different treatments indicated that SsAP2/ERF genes played an essential role in dehydration and salt stress responses of S. spontaneum. Conclusions In this study, a total of 218 members of the AP2 / ERF superfamily were identified in sugarcane, and their genetic structure, evolution characteristics, and expression patterns were studied and analyzed. The results of this study provide a foundation for future analyses to elucidate the importance of AP2/ERF transcription factors in the function and molecular breeding of sugarcane.

African swine fever virus (ASFV) is a highly lethal pathogen of domestic and wild pigs. Due to no vaccines or drugs available, early accurate diagnosis and eradication of infected animals are the most important measures for ASFV prevention and control. Bluetongue virus (BTV) core-like particles (CLPs) are non-infectious hollow nanoparticles assembled from the BTV VP3 and VP7 proteins, which could be used as a platform for presenting foreign epitopes. In this study, the secondary structure of BTV VP7 protein was analyzed and predicted using the IEDB Analysis resource. Based on the prediction results of the VP7 protein, the chimeric CLPs with an ASFV P54 epitope were successfully prepared through the BAC-to-BAC baculovirus expression system and sucrose gradient centrifugation. Based on the chimeric CLPs and mAb 2E4 against AFSV P54 epitope, a blocking ELISA for detecting AFSV antibodies was established, and its reaction conditions were optimized. Through comprehensive evaluation of the method, the results showed the chimeric CLPs-based blocking ELISA displayed the best detection performance, with an AUC of 0.9961, a sensitivity of 97.65%, and a specificity of 95.24% in ROC analysis. Compared with western blot and a commercial c-ELISA for detecting anti-ASFV antibodies, this method had an excellent agreement of 96.35% (kappa value = 0.911) and 97.76% (kappa value = 0.946) with the other tests, respectively. This ELISA also had high repeatability, with CV < 10%, and no cross-reaction with the serum antibodies against other swine viruses or Orbivirus . In brief, this was the first report on developing a blocking ELISA based on virus-like nanoparticles chimerized with an antigenic epitope of ASFV P54 for serological diagnosis of ASFV.

Digital human narrative transportation has proven to be an effective green brand marketing strategy. However, there is still a lack of in-depth research on the relationship between the role of different digital human narrative scenarios in consumer perceptions and behaviors. This research examined the impact of digital human narrative scenarios on eco-product purchase intention through four studies. Study 1 found that anime-like (vs. human-like) digital human narratives led to more positive emotional arousal and higher eco-product purchase intention through the use of encephalography (EEG) experiments. Studies 2–4 examined the effect of digital human narrative scenarios on eco-product purchase intentions and explored the mediating role of narrative presence and the moderating role of narrative type. The results showed that mixed (vs. single) narratives lead to more positive consumer purchase intentions. In addition, sharing-oriented (vs. persuasion-oriented) narratives also led to a more positive perception of narrative presence. These findings provide insights for marketers using digital human narratives to promote eco-product consumption.

Against the backdrop of global climate change and increasing ecological pressure, the refined monitoring of forest resources and accurate tree species identification have become essential tasks for sustainable forest management. Hyperspectral remote sensing, with its high spectral resolution, shows great promise in tree species classification. However, traditional methods face limitations in extracting joint spatial–spectral features, particularly in complex forest environments, due to the “curse of dimensionality” and the scarcity of labeled samples. To address these challenges, this study proposes a synergistic classification approach that combines the spatial feature extraction capabilities of deep learning with the generalization advantages of machine learning. Specifically, a 2D convolutional neural network (2DCNN) is integrated with a support vector machine (SVM) classifier to enhance classification accuracy and model robustness under limited sample conditions. Using UAV-based hyperspectral imagery collected from a typical plantation area in Fuzhou City, Jiangxi Province, and ground-truth data for labeling, a highly imbalanced sample split strategy (1:99) is adopted. The 2DCNN is further evaluated in conjunction with six classifiers—CatBoost, decision tree (DT), k-nearest neighbors (KNN), LightGBM, random forest (RF), and SVM—for comparison. The 2DCNN-SVM combination is identified as the optimal model. In the classification of Masson pine, Chinese fir, and eucalyptus, this method achieves an overall accuracy (OA) of 97.56%, average accuracy (AA) of 97.47%, and a Kappa coefficient of 0.9665, significantly outperforming traditional approaches. The results demonstrate that the 2DCNN-SVM model offers superior feature representation and generalization capabilities in high-dimensional, small-sample scenarios, markedly improving tree species classification accuracy in complex forest settings. This study validates the model’s potential for application in small-sample forest remote sensing and provides theoretical support and technical guidance for high-precision tree species identification and dynamic forest monitoring.

Sugarcane (Saccharum spp.), a vital economic crop, suffers significant yield losses from drought. This study elucidates the genetic regulation of lignin biosynthesis—a key drought-resistance mechanism—by analyzing three contrasting accessions: drought-sensitive Saccharum officinarum (Badila), drought-resistant hybrid (XTT22), and drought-tolerant wild Saccharum spontaneum (SES-208) under progressive drought (7–21 days). Physiological analyses revealed pronounced lignin accumulation in XTT22 roots/leaves, driven by elevated coniferyl/sinapyl alcohol substrates, while Badila showed minimal deposition. Genomic characterization of cinnamyl/sinapyl alcohol dehydrogenase (CAD/SAD) families across six sugarcane genomes identified 322 genes phylogenetically clustered into three clades. Class I members (CAD1, CAD5, etc.) were critical for lignin biosynthesis, with tandem/segmental duplications driving family expansion and promoters enriched in stress-responsive cis-elements (ABA, MeJA, light). Transcriptomics and qRT-PCR confirmed strong correlations between Class I CAD expression, lignin content, and drought tolerance. These findings establish CAD Class I genes as novel molecular targets for enhancing drought resilience in sugarcane breeding programs.

Background Previous studies have inferred a strong genetic component for insomnia. However, the etiology of insomnia is still unclear. The aim of the current study was to explore potential biological pathways, gene networks, and brain regions associated with insomnia. Methods Using pathways (gene sets) from Reactome, we carried out a two‐stage gene set enrichment analysis strategy. From a large genome‐wide association studies (GWASs) of insomnia symptoms (32,155 cases/26,973 controls), significant gene sets were tested for replication in other large GWASs of insomnia complaints (32,384 cases/80,622 controls). After the network analysis of unique genes within the replicated pathways, a gene set analysis for genes in each cluster/module of the enhancing neuroimaging genetics through meta‐analysis GWAS data was performed for the volumes of the intracranial and seven subcortical regions. Results A total of 31 of 1,816 Reactome pathways were identified and showed associations with insomnia risk. In addition, seven functionally and topologically interconnected clusters (clusters 0–6) and six gene modules (named Yellow, Blue, Brown, Green, Red, and Turquoise) were associated with insomnia. Moreover, significant associations were detected between common variants of the genes in Cluster 2 with hippocampal volume (p = 0.035; family wise error [FWE] correction) and the red module with intracranial volume (p = 0.047; FWE correction). Functional enrichment for genes in the Cluster 2 and the Red module revealed the involvement of immune responses, nervous system development, NIK/NF‐kappaB signaling, and I‐kappaB kinase/NF‐kappaB signaling. Core genes (UBC, UBB, and UBA52) in the interconnected functional network were found to be involved in regulating brain development. Conclusions The current study demonstrates that the immune system and the hippocampus may play central roles in neurodevelopment and insomnia risk. The association between the immune system and insomnia; UBC, UBB, and UBA52 participated in regulating brain development were associated with insomnia.

The whole chloroplast genome (cp DNA) sequence of Caulerpa lentillifera J. Agardh has been characterized from Illumina pair-end sequencing. The circular cpDNA was 119,402 bp in length, containing 122 genes, which included 91 protein-coding genes, 28 tRNA genes, and 3 ribosomal RNA genes (four rRNA species). The overall AT content of C. lentillifera cpDNA is 67.4%. The 48 genes phylogenetic analysis suggested that C. lentillifera formed a monophyletic clade with congeneric C. racemosa.

Drought is the main abiotic stress that constrains sugarcane growth and production. To understand the molecular mechanisms that govern drought stress, we performed a comprehensive comparative analysis of physiological changes and transcriptome dynamics related to drought stress of highly drought-resistant (ROC22, cultivated genotype) and weakly drought-resistant (Badila, wild genotype) sugarcane, in a time-course experiment (0 h, 4 h, 8 h, 16 h and 32 h). Physiological examination reviewed that ROC22, which shows superior drought tolerance relative to Badila, has high performance photosynthesis and better anti-oxidation defenses under drought conditions. The time series dataset enabled the identification of important hubs and connections of gene expression networks. We identified 36,956 differentially expressed genes (DEGs) in response to drought stress. Of these, 15,871 DEGs were shared by the two genotypes, and 16,662 and 4423 DEGs were unique to ROC22 and Badila, respectively. Abscisic acid (ABA)-activated signaling pathway, response to water deprivation, response to salt stress and photosynthesis-related processes showed significant enrichment in the two genotypes under drought stress. At 4 h of drought stress, ROC22 had earlier stress signal transduction and specific up-regulation of the processes response to ABA, L-proline biosynthesis and MAPK signaling pathway–plant than Badila. WGCNA analysis used to compile a gene regulatory network for ROC22 and Badila leaves exposed to drought stress revealed important candidate genes, including several classical transcription factors: NAC87, JAMYB, bHLH84, NAC21/22, HOX24 and MYB102, which are related to some antioxidants and trehalose, and other genes. These results provide new insights and resources for future research and cultivation of drought-tolerant sugarcane varieties.

PurposeThis study aims to examine the effects of pathos in sustainable brand stories featuring masculinity on brand masculinity and men’s sustainable brand attitude using Aristotle’s rhetoric theory.Design/methodology/approachThree independent online experiments (N = 398; N = 216; N = 247) were conducted to observe how participants responded to a sustainable brand story. Data collected through a post-experimental survey were used to test the proposed model. Research hypotheses were inspected using SPSS.FindingsThe authors reveal brand masculinity is influenced by varying degrees of pathos: participants who read stories with all three pathos elements (metaphor, humor and empathy) demonstrated the highest level of perceived brand masculinity. Male consumers showed more positive attitudes toward masculine sustainable brand stories than feminine ones. The authors also identify the moderating effect of consumer generation: Gen Z (versus Gen Y) consumers demonstrated stronger character identification with hybrid masculinity (versus hegemonic masculinity) sustainable brand stories, resulting in more favorable sustainable brand attitudes.Originality/valueThe study provides a new angle for exploring the relationship between gendered sustainable brand stories and sustainable brand attitudes. It is the first (to the authors’ knowledge) that links Aristotle’s rhetoric theory to brand gender research, and it empirically demonstrates how male consumers from different generational cohorts respond to different masculinity strategies used by sustainable brands.