PurposeThe main focus is to provide a non-similar solution for the magnetohydrodynamic (MHD) flow of Casson fluid over a curved stretching surface through the novel technique of the artificial intelligence (AI)-based Lavenberg–Marquardt scheme of an artificial neural network (ANN). The effects of joule heating, viscous dissipation and non-linear thermal radiation are discussed in relation to the thermal behavior of Casson fluid.Design/methodology/approachThe non-linear coupled boundary layer equations are transformed into a non-linear dimensionless Partial Differential Equation (PDE) by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ordinary differential equations (ODEs). The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.FindingsThe results indicate that the non-linear radiation parameter increases the fluid temperature. The Casson parameter reduces the fluid velocity as well as the temperature. The mean squared error (MSE), regression plot, error histogram, error analysis of skin friction, and local Nusselt number are presented. Furthermore, the regression values of skin friction and local Nusselt number are obtained as 0.99993 and 0.99997, respectively. The ANN predicted values of skin friction and the local Nusselt number show stability and convergence with high accuracy.Originality/valueAI-based ANNs have not been applied to non-similar solutions of curved stretching surfaces with Casson fluid model, with viscous dissipation. Moreover, the authors of this study employed Levenberg–Marquardt supervised learning to investigate the non-similar solution of the MHD Casson fluid model over a curved stretching surface with non-linear thermal radiation and joule heating. The governing boundary layer equations are transformed into a non-linear, dimensionless PDE by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ODEs. The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.

Previous phylogenetic studies on the pharmaceutically significant genus Paris (Melanthiaceae) have consistently revealed substantial cytonuclear discordance, yet the underlying mechanism responsible for this phenomenon remains elusive. This study aims to reconstruct a robust nuclear backbone phylogeny and elucidate the potential evolutionarily complex events contributing to previously observed cytonuclear discordance within Paris. Based on a comprehensive set of nuclear low-copy orthologous genes obtained from transcriptomic data, the intrageneric phylogeny of Paris, along with its phylogenetic relationships to allied genera were inferred, using coalescent and concatenated approaches. The analysis of gene tree discordance and reticulate evolution, in conjunction with an incomplete lineage sorting (ILS) simulation, was conducted to explore potential hybridization and ILS events in the evolutionary history of Paris and assess their contribution to the discordance of gene trees. The nuclear phylogeny unequivocally confirmed the monophyly of Paris and its sister relationship with Trillium, while widespread incongruences in gene trees were observed at the majority of internal nodes within Paris. The reticulate evolution analysis identified five instances of hybridization events in Paris, indicating that hybridization events might have recurrently occurred throughout the evolutionary history of Paris. In contrast, the ILS simulations revealed that only two internal nodes within sect. Euthyra experienced ILS events. Our data suggest that the previously observed cytonuclear discordance in the phylogeny of Paris can primarily be attributed to recurrent hybridization events, with secondary contributions from infrequent ILS events. The recurrent hybridization events in the evolutionary history of Paris not only drove lineage diversification and speciation but also facilitated morphological innovation, and enhanced ecological adaptability. Therefore, artificial hybridization has great potential for breeding medicinal Paris species. These findings significantly contribute to our comprehensive understanding of the evolutionary complexity of this pharmaceutically significant plant lineage, thereby facilitating effective exploration and conservation efforts.

One-dimensional nanomaterials have become one of the most available nanoreinforcing agents for developing next-generation high-performance functional self-healing composites owing to their unique structural characteristics and surface electron structure. However, nanoscale control, structural regulation, and crystal growth are still enormous challenges in the synthesis of specific one-dimensional nanomaterials. Here, oxygen-defective MoO3-x nanowires with abundant surface dynamic bonding were successfully synthesized as novel nanofillers and photothermal response agents combined with a polyurethane matrix to construct composite elastomers, thus achieving mechanically enhanced and self-healing properties. Benefiting from the surface plasmon resonance of the MoO3-x nanowires and interfacial multiple dynamic bonding interactions, the composite elastomers demonstrated strong mechanical performance (with a strength of 31.45 MPa and elongation of 1167.73%) and ultrafast photothermal toughness self-healing performance (20 s and an efficiency of 94.34%). The introduction of MoO3-x nanowires allows the construction of unique three-dimensional cross-linked nanonetworks that can move and regulate interfacial dynamic interactions under 808 nm infrared laser stimulation, resulting in controlled mechanical and healing performance. Therefore, such special elastomers with strong photothermal responses and mechanical properties are expected to be useful in next-generation biological antibacterial materials, wearable devices, and artificial muscles.

The purpose of the present scoping review is to map the literature reporting on the application of digital workflows and digital technologies in the diagnosis, treatment, or management of dental conditions in paediatric patients. Furthermore, the review focuses on identifying possible knowledge gaps in the area and developing specific recommendations for future investigations. An electronic search was performed on 3 databases up to July 2023. After the authors independently screened the retrieved articles, they extracted the data and assessed the risk of bias using the JBI (The Joanna Briggs Institute) critical appraisal tools and the Cochrane Risk of Bias 1 tool, depending on the study design assessed. After full-text assessment, 58 studies were identified that met the inclusion and exclusion criteria. The results were divided into two groups according to the study design: 36 were research articles, and 22 were case reports; only the research articles were included in the qualitative synthesis. The most common topic was Scanners/3d digital model analysis (11 articles), followed by Digital Imaging (8 articles). Digital applications were also a popular topic, and tele-dentistry and artificial intelligence were also present in the included studies. Studies investigating the use of digital workflows and digital technologies in the diagnosis, treatment or management of dental conditions in paediatric dentistry are lacking. In general, future investigations should be based on higher quality studies; furthermore, the lack of studies on the clinical validation of digitally fabricated orthodontic devices and restorations in paediatric patients provides insights for future research.

Artificial intelligence (AI) technology has grown rapidly in customer service, including AI chatbots. Tokopedia has adopted an AI chatbot for customer service, but there are still many users who do not trust it because it lacks reliability. This study aims to examine the effect of AI chatbot dimensions on customer trust in Tokopedia, focusing on the variables of empathy response, anonymity, customization, and interaction. This research is quantitative using descriptive and causal methods, involving 437 Tokopedia user respondents through structured questionnaires. Data analysis using the SEM-PLS model with SmartPLS. The results show that empathy response, anonymity, customization, and interaction have a positive and significant influence on customer trust. In addition, empathy response, anonymity, and customization also have a positive effect on interaction. The suggestion for Tokopedia is to improve the quality of chatbots in providing empathetic responses, such as greeting users, appreciating, and validating their problems. Innovation in the aspects of empathy response, anonymity, customization, and interaction is also important. Future research could explore additional factors that influence customer trust as well as the mediating or moderating effects of certain variables.

This study aims to analyze the application of artificial intelligence, integrity prediction, financial performance, and company size in the Indonesian and Singapore banking sectors during the 2021-2023 period. Secondary data is used in this study, including annual reports, financial reports, and other relevant data sources. The quantitative descriptive method was applied to analyze the collected data. The results show that the adoption of artificial intelligence in the banking sector has had a positive impact on operational efficiency, fraud detection, and risk management. In addition, corporate integrity prediction plays an important role in maintaining the stability and reputation of financial institutions, with artificial intelligence technology assisting in detecting potential risks and fraudulent activities. This study also found that firm size, as measured by total assets, contributes significantly to bank financial performance. These findings make an important contribution to the literature and provide insights for policy makers and banking practitioners to optimize the use of artificial intelligence technology and integrity prediction in improving firm performance and competitiveness.

Amplifying oxidative stress to disrupt intracellular redox homeostasis can accelerate tumor cell death. In this work, an oxidative stress amplifier (PP@T) is prepared for enhanced tumor oxidation therapy to reduce tumor growth and metastases. The nano-amplifier has been successfully constructed by embedding MTH1 inhibitor (TH588) in the PDA-coated porphyrin metal-organic framework PCN-224. The controllable-released TH588 is demonstrated from pores can hinder MTH1-mediated damage-repairing process by preventing the hydrolysis of 8-oxo-dG, thereby amplifying oxidative stress and exacerbating the oxidative DNA damage induced by the sonodynamic therapy of PP@T under ultrasound irradiation. Furthermore, PP@T can effectively induce immunogenic cell death to trigger systemic anti-tumor immune response. When administered in combination with immune checkpoint blockade, PP@T not only impedes the progression of the primary tumor but also achieves obvious antimetastasis in breast cancer murine models, including orthotopic and artificial whole-body metastasis models. Furthermore, the nanoplatform also provides photoacoustic imaging for in vivo treatment guidance. In conclusion, by amplifying oxidative stress and reactive oxygen species sensitized immunotherapy, this image-guided nanosystem shows potential for highly specific, effective combined therapy against tumor cells with negligible side-effects to normal cells which will provide a new insight for precise tumor treatment.

This study investigated the comparative performance of ear, nose, and throat (ENT) physicians in correctly detecting ear abnormalities when reviewing digital otoscopy imaging using 3 different visualization methods, including computer-assisted composite images called "SelectStitch," single video frame "Still" images, and video clips. The study also explored clinicians' diagnostic confidence levels and the time to make a diagnosis. Clinician diagnostic reader study. Online diagnostic survey of ENT physicians. Nine ENT physicians reviewed digital otoscopy examinations from 86 ears with various diagnoses (normal, perforation, retraction, middle ear effusion, tympanosclerosis). Otoscopy examinations used artificial-intelligence (AI)-based computer-aided composite image generation from a video clip (SelectStitch), manually selected best still frame from a video clip (Still), or the entire video clip. Statistical analyses included comparisons of ability to detect correct diagnosis, confidence levels, and diagnosis times. The ENT physicians' ability to detect ear abnormalities (33.2%-68.7%) varied depending on the pathologies. SelectStitch and Still images were not statistically different in detecting abnormalities (P > .50), but both were different from Video (P < .01). However, the performance improvement observed with Videos came at the cost of significantly longer time to determining the diagnosis. The level of confidence in the diagnosis was positively associated with correct diagnoses, but varied by particular pathology. This study explores the potential of computer-assisted techniques like SelectStitch in enhancing otoscopic diagnoses and time-saving, which could benefit telemedicine settings. Comparable performance between computer-generated and manually selected images suggests the potential of AI algorithms for otoscopy applications.

Abstract Background Sympathetic nerve activity (SNA) plays a central role in the pathogenesis of several diseases such as sepsis and chronic kidney disease (CKD). Activation of microglia in the paraventricular nucleus of the hypothalamus (PVN) has been implicated in SNA. The mechanisms responsible for the adverse prognosis observed in sepsis associated with CKD remain to be determined. Therefore, we aimed to clarify the impact of increased SNA resulting from microglial activation on hemodynamics and organ damage in sepsis associated with CKD. Methods and results In protocol 1, male Sprague–Dawley rats underwent either nephrectomy (Nx) or sham surgery followed by cecal ligation and puncture (CLP) or sham surgery. After CLP, Nx-CLP rats exhibited decreased blood pressure, increased heart rate, elevated serum creatinine and bilirubin levels, and decreased platelet count compared to Nx-Sham rats. Heart rate variability analysis revealed an increased low to high frequency (LF/HF) ratio in Nx-CLP rats, indicating increased SNA. Nx-CLP rats also had higher creatinine and bilirubin levels and lower platelet counts than sham-CLP rats after CLP. In protocol 2, Nx-CLP rats were divided into two subgroups: one received minocycline, an inhibitor of microglial activation, while the other received artificial cerebrospinal fluid (CSF) intracerebroventricularly via an osmotic minipump. The minocycline-treated group (Nx-mino-CLP) showed attenuated hypotensive and increased heart rate responses compared to the CSF-treated group (Nx-CSF-CLP), and the LF/HF ratio was also decreased. Echocardiography showed larger left ventricular dimensions and inferior vena cava in the Nx-mino-CLP group. In addition, creatinine and bilirubin levels were lower and platelet counts were higher in the Nx-mino-CLP group compared to the Nx-CSF-CLP group. Conclusions In septic rats with concomitant CKD, SNA was significantly enhanced and organ dysfunction was increased. It has been suggested that the mechanism of exacerbated organ dysfunction in these models may involve abnormal systemic hemodynamics, possibly triggered by activation of the central sympathetic nervous system through activation of microglia in the PVN.