Search Results (187,499)

Let $1\ne 0$ be the identity of the commutative ring R. The cozero-divisor graph of a ring R is an undirected simple graph, represented by ${\mathsf{\Gamma }}^{\prime }\left(R\right)$, where two different vertices g and h are adjacent if and only if $g\notin Rh$ and $h\notin Rg$. The vertices of this graph are given by the set of all non-zero and non-unit elements of R. The definition of a graph G’s $A_{\alpha }$ matrix is $A_{\alpha }\left(G\right)=\alpha D\left(G\right)+(1-\alpha )A\left(G\right)$, where $\alpha \in [0,1],D\left(G\right)=diag(deg\left(c_1\right),deg\left(c_2\right),\dots ,deg\left(c_n\right))$ is the diagonal matrix and $A\left(G\right)$ is the adjacency matrix of graph G. In this article, we calculate the sum-connectivity F-index, product-connectivity F-index of ${\mathsf{\Gamma }}^{\prime }\left({\mathbb{Z}}_n\right)$, when $n={\zeta }_1{\zeta }_2,{\zeta }_1^2{\zeta }_2,{\zeta }_1{\zeta }_2{\zeta }_3$, and the $A_{\alpha }$ eigenvalues of ${\mathsf{\Gamma }}^{\prime }\left({\mathbb{Z}}_n\right)$ for $n={{\zeta }_1}^{u_1}{\zeta }_2{\zeta }_3$, where ${\zeta }_1,{\zeta }_2$, ${\zeta }_3$ are distinct primes. Full article

Cadmium (Cd) is a typical heavy metal pollutant in aquatic environments. It enters fish through the gills, digestive tract, and body surface, and accumulates mainly in the liver and kidneys, with species- and tissue-specific distribution. Cadmium triggers apoptosis by inducing oxidative stress, calcium imbalance, and DNA damage. These signals are integrated and amplified by the mitogen-activated protein kinase (MAPK), nuclear factor kappa B (NF-κB), phosphatidylinositol 3-kinase (PI3K)/AKT, and nuclear factor erythroid 2-related factor 2 (Nrf2) pathways, ultimately activating three downstream apoptotic execution pathways: the death receptor, mitochondrial, and endoplasmic reticulum stress pathways. These three pathways form an interactive network through molecular nodes such as BH3 interacting domain death agonist (Bid), Ca²⁺, c-Jun N-terminal kinase (JNK), and C/EBP homologous protein (CHOP), synergistically amplifying the apoptotic effect, with the mitochondrial pathway playing a central role. Cadmium-induced apoptosis is dose-dependent: low concentrations activate protective responses, whereas high concentrations strongly promote apoptosis. Current research gaps remain regarding dynamic pathway crosstalk, chronic low-dose effects, species differences, and fish-specific apoptotic molecules (e.g., caspase-12 homologs). Future studies should focus on constructing multidimensional response maps, clarifying pathway activation thresholds and interaction contributions, and developing composite protective strategies based on Nrf2 activators, metal chelators, and antioxidants, thereby promoting translation into ecological risk assessment and aquaculture pollution control. Full article

Meat serves as a prime medium for the growth of foodborne pathogens due to its rich protein content and high water activity, contributing significantly to the global burden of foodborne illnesses. This review synthesizes current advances in meat-borne bacterial pathogen detection with particular emphasis on emerging artificial intelligence (AI)-enabled applications. Major pathogens of concern, including Salmonella, Listeria monocytogenes, Escherichia coli, Campylobacter, Clostridium, and Staphylococcus aureus, are examined in relation to their relevance across the meat supply chain. Recent progress in biosensors (clustered regularly interspaced short palindromic repeats), CRISPR-based assays, isothermal amplification, and metagenomics is evaluated alongside the growing role of AI in automating signal interpretation, enhancing image-based diagnostics, and supporting early contamination prediction. AI-based systems have proved 96.4–104% recovery and 100% bacterial capture ability. Embedding AI methods in a wet lab demands technical and logical modeling, as well as learning and calibration decorum. Nonetheless, AI readiness and full-scale application for meat-borne pathogens surveillance are on the way. Furthermore, additional focus is aligned on meat-borne bacterial pathogen genomic databases, i.e., (NCBI Pathogen Detection, EnteroBase, VFDB, ComBase, and GenBank), which serve as critical training resources for AI models for outbreak tracking, virulence profiling, and antimicrobial resistance (AMR) prediction. By integrating molecular methods, genomic surveillance, and AI-driven analytics, this review presents a framework for strengthening meat safety systems. This will improve early detection capabilities and support data-driven public health interventions in the future. Full article

Background: Helicobacter pylori causes one of the most prevalent chronic bacterial infections worldwide. Data about H. pylori resistance rates to levofloxacin and rifampin (antimicrobials for second-, third- or fourth-line therapy) in Colombia and South America are scarce. The present study aimed to assess levofloxacin and rifampin resistance rates among 61 H. pylori isolates from the western-central region of Colombia and to identify gyrA point mutations associated with levofloxacin resistance. Methods: For this purpose, antimicrobial susceptibility was determined using the E-test method and gyrA mutations in levofloxacin-resistant isolates were identified by PCR amplification followed by DNA sequencing. Results: Resistance rates to levofloxacin and rifampin were 24.6% and 13.1%, respectively. Among the 15 levofloxacin-resistant isolates, 6 (40%) isolates had ≥2 gyrA mutations and 5 of them exhibited high (≥32 mg/L) levofloxacin MICs. In addition, two new mutations (Y90C and V89D) were also detected. Conclusions: Clinically relevant resistance to levofloxacin and rifampin was detected among H. pylori isolates from central-western Colombia. Multiple gyrA mutations were identified in a significant proportion of levofloxacin-resistant isolates and were mainly associated with high MIC values, highlighting the need for regional surveillance to guide eradication therapies. Full article

Mystical experiences are characterized by a profound sense of interconnectedness and transcendence of ordinary reality. These experiences can facilitate feelings of connectedness with oneself and others and have been documented as leading to significant positive changes in thoughts, emotions, and behavior. The purpose of the present study was to evaluate the extent to which the four mindfulness facets of psychological flexibility (i.e., experiential acceptance, present-moment awareness, cognitive defusion, and self-as-context) were associated with self-reported mystical experiences while controlling for established covariates. Using a sample of 150 individuals recruited online, a regularized regression with an elastic net—a computationally efficient machine learning algorithm—was used to model the relationships among mystical experiences, State of Surrender, frequency of psychedelic use, near-death experiences, and facets of psychological flexibility. State of Surrender, experiential acceptance, cognitive defusion, and present-moment awareness emerged as the most robust predictors of mystical experiences. Collectively, these findings underscore the role of psychological processes, including surrender-related processes and facets of psychological flexibility, in predicting mystical experiences. Full article

Existing ship trajectory clustering methods often overlook the impact of navigation behaviors (e.g., heading and speed variations) on clustering performance. To address this limitation, a novel ship trajectory clustering method that explicitly incorporates navigation behavior sequence is proposed. Firstly, ship trajectories are preprocessed, and key motion parameters, including the ship Rate Of Turn (ROT) and acceleration at each trajectory point, are calculated through a sliding window. Secondly, by integrating various motion parameters, the navigation behaviors corresponding to trajectory points are classified, and the classification results are taken as the core element to measure the behavior distance between different trajectories. Then, the spatial distance between trajectories is measured based on the Hausdorff distance. Finally, an adaptive Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is adopted, which fuses behavior distance and spatial distance, to realize ship trajectory clustering that takes navigation behavior into account. Experimental results on Dalian Port and Yantai Port datasets show that: (1) Compared with the classical DBSCAN and Multi-dimensional Density-Based Trajectory Clustering of Applications with Noise (MD-DBTCAN) methods, the proposed method achieves finer granularity of clustering results; (2) Compared with the classical DBSCAN method, the proposed method can effectively distinguish straight-line navigation trajectories from trajectories with frequent turning behaviors; compared with the MD-DBTCAN method, the proposed method can distinguish normal straight-line navigation trajectories from trajectories with frequent acceleration and deceleration behaviors. Full article

Non-alcoholic fatty liver disease (NAFLD) is a primary metabolic disorder that threatens adolescent health globally, with no effective therapeutic agents currently available. Bellamya purificata is a traditional Chinese medicine categorized as "medicinal food", and polysaccharides are among its active components. However, its physicochemical structure remains poorly characterized, and no study has evaluated its effects on NAFLD. In this study, a homogeneous neutral polysaccharide, α-D-glucan (Mw = 6,412.704 kDa), was isolated from B. purificata. The structure of the polysaccharide was characterized using monosaccharide composition analysis, methylation analysis, NMR spectroscopy, and scanning electron microscopy. The backbone structure of the polysaccharide comprises →4)-α-D-Glcp-(1→ and →4,6)-α-D-Glcp-(1→, with side chains of α-D-Glcp-(1→ attached to the O-6 position of the 1→4,6)-α-D-Glcp-(1→ sugar residues. Additionally, QSPS-1D effectively reduced weight gain, hepatic lipid accumulation (TC and TG), and inflammatory responses (tnf-α and il-1β) in NAFLD zebrafish. Moreover, QSPS-1D alleviated dysbiosis by inhibiting harmful bacteria (e.g., Stenotrophomonas, Agrobacterium, and Chryseobacterium) and promoting beneficial microbiota (e.g., Rothia), which restored the Firmicutes-to-Bacteroidetes ratio. In parallel, it enhanced the expression of tight junction proteins (zo-1 and claudin-1), leading to the repair of the intestinal mucosal barrier. These findings suggest that B. purificata polysaccharides may be a potential functional food for early NAFLD intervention, with effects potentially associated with the modulation of the gut microbiota. Full article

Neuromuscular electrical stimulation (NMES) is integral to studying muscle function in healthy and dystrophic mice. Certain commercial electrodes and laboratory stimulators used for NMES in mice are no longer in production. We developed and/or tested low-cost, open-source alternatives to discontinued commercial standards. We performed two studies—a comparison of electrodes and a comparison of stimulators. In the electrode study, in vivo NMES was applied to the left hindlimb ankle dorsiflexors in healthy C57BL/6J and dysferlin-null BLAJ mice using three electrode types: a previously available commercial electrode, a custom 3D-Printed electrode, and a custom Pen electrode assembled from off-the-shelf components. Twitch and tetanic torque were measured and compared using two-way repeated-measures ANOVA. Twitch torque differed by electrode type (p = 0.031), with lower values observed for the Pen electrode compared with the 3D-Printed electrode (e.g., 573 ± 72 vs. 666 ± 70 mN.mm in C57BL/6J mice), whereas tetanic torque did not differ significantly between electrode types (p = 0.060). In the stimulator study, twitch and tetanic contractions were elicited using the open-source StimJim stimulator and compared with contractions elicited by the discontinued Grass S48 stimulator. Twitch torque was lower with the StimJim (588 ± 107 mN.mm) compared with the Grass S48 (698 ± 116 mN.mm; p < 0.001), whereas tetanic torque values were not statistically different (p = 0.055). These findings indicate that open-source electrodes and stimulators can produce similar maximal tetanic torque under the tested conditions, although differences in twitch torque and stimulation parameters should be considered. These results reflect a methodological validation of accessible tools rather than a formal equivalence analysis. Full article

Existential, spiritual, and religious themes often evoke strong emotions in therapy, yet little is known about how clients’ emotion regulation relates to these aspects. Spiritual psychotherapy for inpatient residential and intensive treatment (SPIRIT) integrates meaning in life within a cognitive-behavioral treatment (CBT) framework in acute and intensive mental health care and provides an appropriate context for examining this. This qualitative study explores: (1) clients’ beliefs about expressing, managing, or suppressing emotions related to meaning in life, spirituality, or religion (MSR); (2) how emotion regulation strategies (e.g., reappraisal, acceptance, and distress tolerance) are influenced by addressing MSR in therapy; and (3) whether engaging with MSR activates emotion regulation mechanisms for clients’ experienced distress. We analyzed 118 client evaluation forms and 19 semi-structured client interviews using a thematic approach informed by emotion regulation theory. SPIRIT-CBT made implicit beliefs about (MSR-related) emotion regulation explicit, and group interactions sometimes led to changes. Clients showed various regulation strategies, for example: MSR-based reappraisal, connectedness, reflection, and positive refocusing. However, emotional tension and suppression were also reported. Particularly from the interviews, it emerged that the therapy facilitated regulation mechanisms, including narrative processing, perspective shifting, sense-making, and social belonging. Focusing on MSR and existential themes addresses an important gap in mental health care and may contribute to supporting clients’ emotional recovery and overall well-being. Full article

Background/Objectives: As a traditional Chinese medicinal herb, Cnidii Fructus is widely used in clinical practice. Its volatile organic compounds (VOCs) are closely related to its antipruritic effect and insecticidal properties. Due to the susceptibility of this medicinal herb to mold contamination, adopting appropriate sterilization measures is of great significance for its storage. ⁶⁰Co irradiation is widely used for this purpose due to its various advantages. Methods: This study employed Gas Chromatography–Ion Mobility Spectrometry (GC-IMS) combined with multivariate statistical analysis to systematically investigate the influence of different ⁶⁰Co irradiation doses (0, 3, 6, 9 kGy) on the VOCs of Cnidii Fructus and associated metabolic regulatory mechanisms. Results: A total of 115 VOCs were tentatively identified. Statistical analysis revealed dose-dependent effects: 3 kGy irradiation caused the least compositional perturbation, best preserving original chemical characteristics; 6 kGy induced more pronounced compositional changes; and 9 kGy triggered substantial chemical composition reconstruction. Differential metabolite enrichment analysis indicated that medium and high doses of irradiation primarily perturbed central carbon metabolic pathways, including pyruvate metabolism, glycolysis/gluconeogenesis, and glyoxylate and dicarboxylate metabolism. Key differential components were tentatively identified (e.g., α-Thujone, α-Pinene, β-Pinene) that possess pharmacological activities closely associated with the traditional efficacy of Cnidii Fructus. Conclusions: When the irradiation dose is 3 kGy, the VOCs profile of Cnidii Fructus is most similar to that of the non-irradiated control group, suggesting that its compositional profile may be closer to that of traditional high-quality medicinal materials. Meanwhile, the differential metabolites and core metabolic pathways identified in this study can provide a chemical reference for the quality control of irradiated Cnidii Fructus. The findings provide a theoretical basis and technical support for the rational application of ⁶⁰Co irradiation sterilization in the processing of Chinese medicinal materials and their powders. Full article

This paper conducts an experimental study to develop a response strategy for lithium-ion battery fires. Guided by the principle of “first control, then extinguish”, the strategy integrates a lithium-ion battery-specific fire-controlling blanket with castable fire-extinguishing agents. Both fire tests of e-bikes and lithium-ion batteries are conducted. From e-bike fire tests, the feasibility of rescuers conducting close-range disposal of LIB (lithium-ion battery) fires is analyzed from three perspectives, i.e., fire evolution stage, battery splashing and high temperature. The results indicate a high risk of fire spread, as well as a strong likelihood of human injury caused by flying LIB debris and extremely hot gases. Subsequently, the fire-controlling capability of the fire blanket is validated. It not only blocks splashing batteries and jet flames, reducing combustion intensity, but also offers a safe way for personnel to operate the portable fire extinguishers. Through two castable extinguishing agents tested, the perfluorohexanone-based agent outperforms the water-based alternative. The reasons are as follows. First, perfluorohexanone evaporates easily in the low-temperature, confined environment created by the fire blanket. Second, it possesses both physical and chemical fire-extinguishing capabilities, ultimately delivering a more potent combustion suppression effect. Full article

Objective: Gastric cancer (GC) is characterized by molecular heterogeneity, yet current classifications are largely based on cross-sectional molecular profiles and do not account for the temporal order of mutation accumulation. This study aimed to reconstruct somatic mutation trajectories to identify prognostically distinct subtypes and to examine transcriptomic and microenvironmental features associated with these inferred trajectories. Methods: We applied the Subtype and Stage Inference (SuStaIn) algorithm to TCGA-STAD somatic mutation data to infer the temporal sequence of mutation accumulation. Stage-correlated gene expression analysis was performed to identify genes whose expression levels changed with evolutionary stage. The tumor microenvironment (TME) was characterized using EcoTyper and single-cell RNA sequencing deconvolution, while drug sensitivity was estimated through transcriptome-based IC₅₀ prediction. The clinical relevance of the inferred trajectories was further evaluated in three independent external transcriptomic cohorts. Results: We identified two distinct evolutionary trajectories: the Accelerated Path (AP, 65%) and the Gradual Path (GP, 35%). In the AP, TP53 mutations were positioned at an earlier evolutionary stage (Stage 3) compared to the GP (Stage 8). AP patients had significantly worse overall survival (Hazard Ratio = 1.437, p = 0.044, adjusted for clinical stage and molecular subtypes). The AP was associated with stage-correlated downregulation of the sodium channel gene SCN4A (ρ = −0.36, p < 0.001) and an increase in a squamous-associated gene expression score, while the GP showed stage-correlated expression changes in the mitochondrial gene SDHD (ρ = −0.35, p < 0.001). The AP was further characterized by higher inferred abundance of extracellular matrix CAFs (eCAFs) and lower inferred immune cell scores, whereas the GP was associated with higher inferred signatures of activated B cells and effector memory T cells. Computational drug sensitivity modeling predicted a negative correlation between AP stage and IC₅₀ values for 5-Fluorouracil and Docetaxel. Conclusions: Two distinct mutational ordering patterns identified by SuStaIn are associated with divergent transcriptomic features, TME compositions, and clinical outcomes in gastric cancer. The AP subtype is characterized by early TP53 mutations, SCN4A downregulation, and a stromal-enriched microenvironment, while the GP subtype is associated with later TP53 mutations, SDHD-correlated expression, and higher inferred immune cell scores. The reproducibility of these associations was confirmed in independent cohorts. The computational drug sensitivity predictions and the proposed mechanistic links between gene expression patterns and clinical outcomes should be viewed as hypothesis-generating findings that require prospective and functional validation. Full article

This study develops and tests an association-based model explaining how consumers interpret AI-enabled personalization in fashion e-commerce and how these interpretations relate to behavioral intentions. Integrating perspectives from Social Exchange Theory, the Antecedents of Trust Model, Self-Determination Theory, Psychological Contract Breach Theory, and Surveillance Capitalism, we examine the joint associations of perceived personalization, transparency, data control, and privacy concerns with brand trust, perceived surveillance, privacy violation perceptions, and purchase intention. Using PLS-SEM with data from 664 online shoppers, we find that personalization, transparency, and data control are each positively associated with brand trust, while personalization and privacy concerns are positively associated with surveillance perceptions. Brand trust is negatively associated with both surveillance and privacy violation perceptions, and privacy violation is negatively associated with purchase intention. Data control is directly associated with lower surveillance perceptions, whereas transparency operates indirectly through brand trust. Mediation analysis reveals that surveillance is associated with lower purchase intention only indirectly through privacy violation (full mediation), identifying perceived privacy violation as the central psychological pathway in the personalization-privacy paradox. Multi-group analysis identifies segment-level variations by gender and education: personalization is a stronger trust cue for men, while transparency is a stronger trust cue for women; trust buffers violation more strongly for higher-educated consumers. The results highlight a trust-first personalization strategy in which relevance must be paired with meaningful transparency and data-control features to mitigate surveillance and violation appraisals, supporting positive consumer outcomes in fashion e-commerce. Full article

We applied an algebraic approach, developed within the framework of the theory of a commutative monoid of self-dual symmetric polynomials, to the problem of effective isotropic conductivity ${\sigma }_e({\sigma }_1,\dots ,{\sigma }_n)$ in two-dimensional n-phase symmetric composites with partial isotropic conductivities ${\sigma }_j$. The upper $\Omega ({\sigma }_1,\dots ,{\sigma }_n)$ and lower $\omega ({\sigma }_1,\dots ,{\sigma }_n)$ bounds for ${\sigma }_e({\sigma }_1,\dots ,{\sigma }_n)$, found by the algebraic approach for $n=3,4$, are universal (independent of the composite microstructure) and possess all algebraic properties of ${\sigma }_e({\sigma }_1,\dots ,{\sigma }_n)$ that follow from physics: first-order homogeneity, full permutation invariance, Keller’s self-duality, positivity, and monotony. The bounds are compatible with the trivial solution ${\sigma }_e(\sigma ,\dots ,\sigma )=\sigma$ and satisfy Dykhne’s ansatz. Their comparison with previously known numerical calculations, asymptotic analysis, and exact results for the effective isotropic conductivity ${\sigma }_e({\sigma }_1,\dots ,{\sigma }_n)$ of two-dimensional three- and four-phase composites showed complete agreement. The bounds $\Omega ({\sigma }_1,\dots ,{\sigma }_n)$ and $\omega ({\sigma }_1,\dots ,{\sigma }_n)$ in both cases $n=3,4$ are stronger than the currently known variational bounds. Full article