Search Results (195,363)

Wild edible fruits (WEFs) represent an important yet underutilised component of biodiversity-based nutrition and functional food research. This structured narrative review critically synthesises current evidence on the phytochemical composition and nutritional relevance, biological activities, and sustainability dimensions of WEFs, with emphasis on fruit pulp as the primary edible tissue. A systematic search strategy following PRISMA-based principles was applied to enhance methodological transparency; however, due to high heterogeneity in species, analytical methods, and outcome measures, quantitative meta-analysis was not feasible. The review integrates compositional data (phenolics, carotenoids, tocopherols, sterols, vitamin C, and minerals) with reported bioactivities, while explicitly distinguishing between in vitro assays, in vivo studies, and limited clinical evidence. Particular attention is given to analytical variability, bioavailability constraints, dose–response relationships, and translational limitations that affect the interpretation of antioxidant and other health-related claims. Beyond bioactivity, the manuscript contextualises WEFs within socio-economic, conservation, and sustainable food system frameworks. By combining chemical characterisation, evidence hierarchy, and sustainability analysis, this review provides a critical and multidisciplinary perspective that advances understanding of WEFs and identifies priorities for future research, including standardised methodologies and well-designed human intervention trials. Full article

The analysis of brain data through electroencephalography (EEG) has become essential in neuroscience, affective computing, and brain–computer interfaces. Recent work associates EEG features with artificial neurotransmitter models, simulating emotions and rational–emotional decision-making using complexity theory. However, current methods face limitations: (1) linear temporal representations lacking memory and anticipation, (2) limited contextual adaptation, (3) difficulty with paradoxical affective states, and (4) absence of ethical reasoning in decision-making. We present a framework based on Sophimatics, using complex time ($t=t_{real}+i\cdot t_{imag}\in \mathbb{C}$) where $t_{real}$ represents chronology and $t_{imag}$ encodes experiential dimensions including memory depth and anticipatory imagination. The Super Time Cognitive Neural Network (STCNN) architecture enables the parallel processing of objective time sequences and subjective cognitive experiences. Our Sophimatics-assisted EEG analysis achieves: (1) two-dimensional temporal coherence integrating past experiences and future projections, (2) context-sensitive adaptation via ontological knowledge graphs, (3) interpretable symbolic reasoning compatible with clinical psychology, (4) mechanisms for resolving affective paradoxes, and (5) ethical constraints ensuring value-based decision-making. Across three case studies (emotion recognition, meditation-induced transitions, and brain–computer interface decision support), integrated Sophimatics models outperform traditional machine learning (15–22% accuracy improvement) and complexity theory models (8–14% improvement), while offering greater cognitive richness and immunity to incomplete data. Results establish a post-generative AI framework with computational wisdom: relationally interactive, ethically informed, and temporally consistent with human cognitive and affective life. The framework outlines paths toward next-generation neuromorphic systems achieving genuine understanding beyond pattern recognition. Full article

Background/Objectives: Psoriasis and periodontitis share inflammatory pathways. Current evidence suggests a bidirectional non-causal relation. However, the evidence on the effects of periodontal treatment on psoriasis outcomes (severity, inflammatory markers, quality of life) is limited. This study aims to synthetize the available clinical and preclinical evidence of periodontal treatment effects on psoriasis outcomes, in patients with comorbid psoriasis and periodontitis (CRD420261298145). Methods: Several databases (PubMed, WebOfScience, ScienceDirect, ProQuest and GoogleScholar) were searched for relevant articles, without language or time restrictions. We included randomised and non-randomised clinical studies on humans, and controlled animal experiments. Interventions included periodontal treatment (surgical and non-surgical). Outcomes were the Psoriasis Area and Severity Index and dermatology-specific quality of life scores; secondary outcomes included inflammatory biomarkers and periodontal parameters. Studies were screened in duplicate, data extracted independently and risk of bias was assessed using Cochrane RoB 2, ROBINS I, NOS and SYRCLE. Results: A total of five studies were included in this systematic review (four clinical studies and one preclinical studies). Three studies directly assessed post-treatment psoriasis outcomes, with two studies investigating inflammation mediators as secondary outcomes. Two studies directly assessed PASI (Psoriasis Area and Severity Index) modifications, both studies confirming PASI scores decreasing post-periodontal treatment; one study also reported DLQI (Dermatology Life Quality Index). Typical follow-up durations ranged from 8 to 10 weeks for interventional studies, to 5 years for one cohort study. Conclusions: Although momentarily limited by the small number of available studies, the results of this review suggest that periodontal treatment may be associated with improvements in psoriasis outcomes. Further studies on larger samples, with longer follow-up periods would be necessary to confirm and possibly strengthen the existing results. Full article

Detecting deceptive statements is a complex challenge, particularly in non-English contexts where resources are often limited. This study addresses this problem by evaluating the performance of the Polish Large Language Model (LLM), Bielik-11B-v2.3-Instruct. We utilized a dataset of nearly 1500 true and false statements in Polish. In this data, labels reflect agreement with the author’s views. We assessed the model’s performance across diverse prompting variants, adapter fine-tuning, and their combination. The results demonstrate that, while adapter fine-tuning outperforms zero-shot prompting across both data modalities, the combined approach of prompting and fine-tuning is far superior. It achieves an accuracy of 0.82 on typed utterances, exceeding the previously best machine-learning result of 0.69 and human-level accuracy of 0.54. This highlights a growing disparity between humans’ limited detection capabilities and LLMs’ increasing ability to identify deceit. Full article

Background/Objectives: Oral squamous cell carcinoma (OSCC) is a major cause of human cancer. The enzyme, nicotinamide N-methyltransferase (NNMT), is overexpressed in a variety of human cancers, including OSCC. Our objective was to target NNMT with novel inhibitors and determine their anti-cancer efficacy while shedding light on their possible mechanism of action. Methods: We identified two small molecule inhibitors of NNMT (AG-670 and AO-022) based on a pharmacophore of the in silico nicotinamide binding site. These inhibitors were investigated for (i) potency to inhibit the activity of the isolated NNMT enzyme (EC₅₀ values), (ii) cytotoxicity (IC₅₀ values) against the human OSCC cell line, SCC-4, and (iii) ability to affect cellular energy metabolism, as measured by oxygen consumption, in SCC-4 cells (plus dysplastic oral keratinocytes (DOK) cells and breast cancer MCF-7 cells). Immunoblotting was used to determine whether NNMT was expressed in the aforementioned cells. Results: NNMT is expressed in SCC-4 and DOK cells (and primary human oral keratinocytes) but not MCF 7 cells. The NNMT inhibitors inhibit isolated NNMT enzyme activity and were cytotoxic to SCC-4 cells (EC₅₀ and IC₅₀ values in the micromolar range). Sublethal doses of the inhibitors were demonstrated to inhibit in situ mitochondrial oxygen consumption in SCC-4 and DOK cells but not in MCF-7 cells. It was demonstrated that the NNMT inhibitors do not directly inhibit mitochondrial electron transport chain activity. Thus, we deduce that the NNMT inhibitors affect mitochondrial activity indirectly via NNMT. Conclusions: It is concluded that NNMT is a potential drug target for oral cancer. Full article

As artificial intelligence (AI) increasingly engages in managing consumer interactions on e-commerce platforms, an important question arises: how do public AI-generated replies to negative reviews compare with human replies in fostering consumer trust? This study investigates consumer trust in reply source (AI review bots vs. human agents) across three reply strategies, namely, default, thinking, and feeling, in a public review context. AI review bots are defined as automated systems that publicly respond to consumer reviews. Using a controlled laboratory experiment, we find that when using the default strategy, human replies elicit greater trust than AI replies, mediated by higher perceived authenticity and persuasiveness. Conversely, when using the thinking strategy, AI replies outperform human replies in building consumer trust, as they are perceived as more authentic and persuasive. In the feeling strategy, there is a convergence between AI and human replies. These findings demonstrate that the effectiveness of AI versus human replies depends on the strategy adopted. Theoretically, this study extends research on human–AI interaction by introducing a three-strategy framework to systematically compare AI and human communicators in public review contexts. Practically, the results guide e-commerce sellers and platforms on when and how to deploy AI review bots to effectively manage consumer trust in response to negative reviews. Full article

Enhancement of postural stability in standing is essential for fall prevention in the context of demographic aging. Against such a background, this study proposes a personalized training system based on individual limits of stability (LOS) for a human standing state. The system evaluates LOS in eight directions using center-of-mass (COM) and center-of-pressure (COP) measurement devices and provides game-based feedback, then promotes balance within the relevant LOS parameters. Loading is individualized by applying greater force to virtual objects as the COP approaches the LOS determined for each subject. Experiments with 32 younger and 19 mature subjects produced evaluations for postural stability index (IPS), LOS area, and COP sway. The results revealed two distinct response patterns: LOS expansion and sway reduction, both observed across younger and mature cohorts. These findings suggest that individualized LOS-based training can be applied to improve standing stability with two distinct strategies. These preliminary findings suggest that individualized LOS-based training is associated with changes in standing stability through two distinct response patterns. Full article

Body Protective Compound-157 (BPC-157) is a synthetic pentadecapeptide derived from gastric proteins that has demonstrated notable reparative and anti-inflammatory properties across diverse preclinical models. Experimental evidence reveals that BPC-157 supports angiogenesis, collagen synthesis, fibroblast activity, and modulation of nitric oxide pathways, contributing to enhanced healing of muscle, tendon, ligament, bone, and gastrointestinal tissue. Studies also report reduced inflammatory cytokine activity, improved microvascular integrity, and beneficial effects on pain modulation through peripheral and dopaminergic mechanisms. Although animal data indicate favorable safety and pharmacokinetics, human research remains limited to small pilot studies investigating musculoskeletal pain, interstitial cystitis, and intravenous administration, all suggesting potential therapeutic value without reported major adverse effects. However, inconsistent preparation standards, limited clinical validation, and regulatory restrictions underscore the need for rigorous controlled trials. BPC-157 remains a promising candidate for regenerative medicine, yet comprehensive evaluation is required before clinical translation can be recommended. Full article

The deep integration of green finance and the digital economy serves as a critical lever for achieving the “dual carbon” goals and the “Digital China” strategy. This study constructs a “Technology–Capital–Environment” (TCE) analytical framework and integrates a coupling coordination degree model with a dynamic Qualitative Comparative Analysis (QCA) approach. Based on panel data of the Pearl River Delta urban agglomeration from 2014 to 2023, we investigate the synergistic development level, multiple pathways, and dynamic evolution between the two systems. Key findings include: (1) The coupling coordination degree of the two systems has steadily increased, yet significant spatial heterogeneity persists. The average annual growth rate of potential catch-up cities (3.37%) surpasses that of core leading cities (1.77%). (2) Four equifinal driving pathways are identified, which can be summarized into three patterns: technology-dominated institutional synergy, human capital–policy dual-core guidance, and technology–infrastructure synergistic driven. (3) Dynamic analysis reveals that pathways embedded with digital human capital and new infrastructure exhibit stronger resilience to shocks, whereas pathways reliant on institutional synergy demonstrate higher vulnerability. (4) Guangzhou and Shenzhen have already exhibited “ecosystem-level” synergistic characteristics, rendering existing configurational models limited in explanatory power. This study provides a theoretical foundation for promoting regionally differentiated deep integration of green finance and the digital economy and for building a resilience-oriented synergistic development system. Full article

Vitamin B6 is an essential micronutrient whose biologically active form, pyridoxal 5′-phosphate (PLP), acts as a cofactor in metabolic reactions linked to tumorigenesis and also functions as an antioxidant. Low plasma PLP levels are consistently associated with cancer, but studies on dietary intake have yielded conflicting results. Overall, evidence suggests that the effects of vitamin B6 deficiency on cancer are context-dependent, varying with cell type and tumor stage. Accordingly, high expression of PDXK and PNPO, two key genes involved in PLP biosynthesis, is associated with tumor progression in some malignancies, whereas it correlates with improved outcomes in others. This review explores Drosophila melanogaster as a useful model to investigate underlying mechanisms, bypassing the limitations of human studies. Research in Drosophila demonstrates that PLP deficiency promotes cancer by triggering genomic instability. Furthermore, a critical PLP-SHMT gene–nutrient interaction impacting oncogenesis has been established in flies, offering significant therapeutic implications. Finally, studies in Drosophila have shown that PLP deficiency can promote tumor development by also triggering the loss of heterozygosity (LOH). These findings highlight Drosophila as a powerful tool to elucidate the molecular pathways linking vitamin B6 deficiency to cancer. Full article

The interaction between humans and artificial intelligence has become a critical channel for information exchange, yet no quantitative, theoretically grounded framework exists for measuring information efficiency in human–AI communication. This study empirically validated an info-metrics framework operationalizing information efficiency through three dimensions—information density (D), relevance (R), and redundancy (Q)—synthesized into an information efficiency metric (IEM). We analyzed 60 AI responses from ChatGPT 5.2 and Claude Opus 4.5 across factual, analytical, and creative question types using combined coding, automated structural measures, and human evaluation of informational units. The results showed that information density and relevance positively contributed to IEM, while redundancy had a negative contribution. Efficiency varied by task type, with factual prompts showing the highest variability across models and highest efficiency. Contrary to expectations, creative responses did not exhibit higher redundancy, suggesting that expressive diversity does not necessarily constitute informational noise. The framework offers a task-sensitive, theoretically grounded approach to evaluating human–AI information exchange beyond correctness or subjective quality judgment, supporting systems-oriented optimization of conversational AI protocols. Full article

This article addresses the problem of finding the shortest route for Automated Guided Vehicles (AGVs) in a production environment with constrained battery state-of-charge (SoC) and time-dependent operating conditions. The route map is divided into a uniform grid containing stationary obstacles and two types of dynamic obstacles: human, for which AGV transportation is prohibited, and inanimate (moving objects), which impose a penalty function. A key contribution of the proposed methodology is the introduction of a battery residual charge matrix, which embeds cell-level energy feasibility directly into the grid-based environment representation by determining minimum admissible SoC constraints and accounting for transition-dependent energy costs. This matrix restricts the set of traversable cells under low-energy conditions, enabling energy-aware route feasibility evaluation during both initial planning and adaptive replanning. The proposed approach is based on the A* and D* Lite algorithms, providing shortest-path construction that explicitly integrates battery SoC into the spatio-temporal cost function. To avoid collisions in a multi-agent environment during routing, a simplified hybrid scheme with M* elements performs local coordination and adaptive trajectory replanning. The effectiveness of the proposed methodology was assessed using travel time, temporal complexity, and spatial complexity metrics. Simulation results on a $10\times 10$ grid showed that agents with sufficient battery completed routes of 8 and 11 cells with travel times of 7.2 to 10.7 conventional units. A critically low-energy agent was initially unable to move, but after adjusting the minimum SoC constraint, all agents completed their routes with travel times up to 11.4 conventional units, demonstrating the direct impact of energy constraints on system performance. Additional experiments with varying agent counts and SoC thresholds confirmed reliable balancing of route feasibility and energy constraints across configurations. Full article

The global prevalence of obesity continues to rise, posing serious risks to human health largely because obesity itself leads to metabolic disorders of carbohydrate and lipids. Currently, effective and healthy interventions for lowering blood glucose, reducing blood lipids, and promoting weight loss remain limited due to the complexity of obesity development. Lactobacillus plantarum (GDMCC 1.140) was shown to promote catabolic processes and reduce hepatic lipid accumulation in largemouth bass fed with high-starch feed (HSF) in our previous study; however, molecular mechanisms underlying the function of this probiotic remain unclear. Here, we evaluated the effects of L-carnosine, one of metabolites produced by Lactobacillus plantarum, on carbohydrate and lipid metabolisms in an obesity model of zebrafish, which was induced by HSF. Histopathological analyses of livers from different groups indicated that a dietary supplement with L-carnosine can alleviate hepatic impairment and reduce lipid accumulation in the hepatocytes of obese zebrafish. Transcriptomic analyses revealed that L-carnosine supplementation can reverse the expression of about 70 HSF-induced genes, mainly gene-specific transcription regulators and metabolite interconversion enzymes. Furthermore, approximately 250 HSF-inhibited genes were found to be up-regulated by L-carnosine, reaching levels comparable to those in normal-starch feed (NSF) zebrafish. These genes, targeted by L-carnosine and inhibited by HSF, are highly enriched in GO terms such as lipid metabolic process, small molecule metabolic process, and cellular response to chemical stimulus, with monocarboxylic acid metabolic process, modified amino acid metabolic process and aldehyde metabolic process following, and in KEGG pathways of carbohydrate, lipid and amino acid metabolisms, such as pentose and glucuronate interconversions, glycolysis/gluconeogenesis, glycerolipid metabolism, pentose phosphate pathways, fatty acid degradation, beta-alanine metabolism and arginine and proline metabolism. These findings provide functional and molecular evidence that L-carnosine can ameliorate HSF-induced disorders of carbohydrate and lipid metabolisms. Full article

Background: Glucocorticoids (GCs) are a key pathogenic factor in steroid-induced avascular necrosis of the femoral head (SANFH). GCs can directly damage bone microvascular endothelial cells (BMECs), leading to impaired intraosseous blood supply. Recent studies suggest the Hippo signaling pathway may be involved in the pathogenesis of SANFH; however, its role in vascular endothelial repair and angiogenesis remains unclear. This study aims to investigate the therapeutic effects of human umbilical cord mesenchymal stem cells (hUC-MSCs) on SANFH, with a particular focus on their protective or reparative mechanisms on BMECs. Methods: In vivo, a SANFH mouse model is established and divided into NC, MPS, and hUC-MSCs groups, followed by Micro-CT imagin, hematoxylin and eosin (HE) staining and immunohistochemistry (IHC) (n = 8 per group). In vitro, BMECs are divided into NC, dexamethasone (Dex), hUC-MSCs, and Fer-1 groups to analyze cellular biological behaviors. Target protein expression is assessed using Western blotting and immunofluorescence microscopy. Ferroptosis-related markers are detected via biochemical assays. Mitochondrial ultrastructural changes are observed using transmission electron microscopy. Results: In vivo, the MPS group exhibited significant bone cavitation, sparse trabeculae, and disrupted trabecular architecture in the femoral head. The hUC-MSCs group showed marked improvement in bone microstructure, HE staining showed a significant decrease in the empty lacunae rate in the femoral head, and IHC results revealed markedly increased expression of cluster of differentiation 31 (CD31) and vascular endothelial growth factor (VEGF). In vitro, Dex stimulation suppressed BMECs proliferation. In Dex-treated cells, levels of intracellular reactive oxygen species (ROS), lipid peroxides, ferrous ion (Fe²⁺), malondialdehyde (MDA), acyl-CoA synthetase long chain family member 4 (ACSL4) and nicotinamide adenine dinucleotide phosphate oxidase 4 (NOX4) were all increased, while expression of glutathione (GSH) and glutathione Peroxidase 4 (GPX4) was reduced. Transmission electron microscopy revealed plasma membrane rupture and reduction or loss of mitochondrial cristae. Furthermore, Dex promoted Hippo-mediated phosphorylation of Yes-associated protein (YAP)/Transcriptional coactivator with PDZ-binding motif (TAZ), upregulated NOX4 expression, and suppressed CD31 and VEGF expression. Following hUC-MSCs treatment, BMECs demonstrated enhanced proliferation, migration, and tube-forming capacity. Cellular GSH and GPX4 levels increased, antioxidant capacity was restored, peroxide accumulation decreased, and cells were protected from ferroptosis-effects comparable to those in the Fer-1 group. Additionally, hUC-MSCs inhibited YAP/TAZ phosphorylation and promoted elevated expression of CD31 and VEGF. Conclusions: These findings suggest that hUC-MSCs may attenuate Dex-induced ferroptosis in BMECs, enhance BMEC migration and angiogenesis, and improve femoral head microstructure in SANFH through modulation of the Hippo-YAP/TAZ signaling pathway. This study provides novel insights into the therapeutic potential of hUC-MSCs for SANFH. Full article