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In the context of digital-intelligent transformation, the deep integration of data elements has reshaped the cognitive boundaries of entrepreneurial decision-making. New ventures that leverage rational, data-driven analysis to guide strategic choices can transcend the bounded rationality of traditional experiential decision-making, thereby enhancing operational efficiency, market competitiveness, and long-term sustainability. Drawing on a social cognitive perspective, this study empirically examines survey data from 138 start-up firms to investigate the impact of analytical cognitive style on business model innovation in new ventures. Results indicate that analytical cognitive style is positively associated with both efficiency-oriented and novelty-oriented types of BMI. Moreover, entrepreneurial self-efficacy positively moderates the relationship between analytical cognitive style and efficiency-oriented BMI, while negatively moderating the relationship between analytical cognitive style and novelty-oriented BMI. Additionally, environmental uncertainty negatively moderates the link between analytical cognitive style and novelty-oriented BMI. These findings provide meaningful theoretical insights into the cognitive foundations of BMI and offer practical guidance for entrepreneurs seeking to innovate under conditions of uncertainty.

In this paper, a finance system with delay is considered. By analyzing the corresponding characteristic equations, the local stability of equilibrium is established. The existence of Hopf bifurcations at the equilibrium is also discussed. Furthermore, formulas for determining the direction of Hopf bifurcation and the stability of the bifurcating periodic solutions are derived by applying the normal form method and center manifold theorem. Finally, numerical simulation results are presented to validate the theoretical analysis. Numerical simulation results show that delay can lead a stable system into a chaotic state.

ScRNA-seq has the ability to reveal accurate and precise cell types and states. Existing scRNA-seq platforms utilize bead-based technologies uniquely barcoding individual cells, facing practical challenges for precious samples with limited cell number. Here, we present a scRNA-seq platform, named Paired-seq, with high cells/beads utilization efficiency, cell-free RNAs removal capability, high gene detection ability and low cost. We utilize the differential flow resistance principle to achieve single cell/barcoded bead pairing with high cell utilization efficiency (95%). The integration of valves and pumps enables the complete removal of cell-free RNAs, efficient cell lysis and mRNA capture, achieving highest mRNA detection accuracy (R = 0.955) and comparable sensitivity. Lower reaction volume and higher mRNA capture and barcoding efficiency significantly reduce the cost of reagents and sequencing. The single-cell expression profile of mES and drug treated cells reveal cell heterogeneity, demonstrating the enormous potential of Paired-seq for cell biology, developmental biology and precision medicine. Single-cell RNA-seq can reveal accurate and precise cell types and states. Here the authors present an scRNA-seq platform, Paired-seq, which uses differential flow resistance to achieve 95% cell utilisation efficiency for improved cell-free RNA removal and gene detection.

Cancer ranks among the most lethal diseases worldwide. Tissue biopsy is currently the primary method for the diagnosis and biological analysis of various solid tumors. However, this method has some disadvantages related to insufficient tissue specimen collection and intratumoral heterogeneity. Liquid biopsy is a noninvasive approach for identifying cancer-related biomarkers in peripheral blood, which allows for repetitive sampling across multiple time points. In the field of liquid biopsy, representative biomarkers include circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and exosomes. Many studies have evaluated the prognostic and predictive roles of CTCs and ctDNA in various solid tumors. Although these studies have limitations, the results of most studies appear to consistently demonstrate the correlations of high CTC counts and ctDNA mutations with lower survival rates in cancer patients. Similarly, a reduction in CTC counts throughout therapy may be a potential prognostic indicator related to treatment response in advanced cancer patients. Moreover, the biochemical characteristics of CTCs and ctDNA can provide information about tumor biology as well as resistance mechanisms against targeted therapy. This review discusses the current clinical applications of liquid biopsy in cancer patients, emphasizing its possible utility in outcome prediction and treatment decision-making.

A 72-year-old male diagnosed with cholangiocarcinoma was initiated on third-line therapy comprising Tislelizumab and Anlotinib. Within four days of treatment, he developed fulminant hepatic injury concurrent with acute kidney injury. Despite aggressive management with high-dose glucocorticoids, hepatoprotective agents, comprehensive supportive care, and subsequent anti-infective therapy, his clinical status declined rapidly. In view of the grave prognosis and the family's decision to decline intensive interventions such as plasma exchange, the patient ultimately succumbed to multiorgan failure. This case highlights a potential synergistic interaction between concomitant infection (e.g.,influenza virus) and immune checkpoint inhibitor(ICI) therapy, possibly mediated through enhanced antigenic stimulation and loss of immunoregulatory control, culminating in exaggerated immune activation. This mechanism may have profoundly amplified ICI-related toxicity, leading to fatal multiorgan irAEs. Regarding the issue of immune storms, it is challenging for clinical practice to provide favorable outcomes for patients, and we need to remain highly vigilant.

The Daheyan region, situated in the SW of the Bogda Mountains in eastern Tianshan, is important for understanding the accretionary history of the Central Asian Orogenic Belt. We investigated Carboniferous intrusions from the Daheyan area, SW Bogda Mountains, obtaining new zircon U-Pb ages, whole-rock geochemical data and Hf isotope data for these intrusions. Zircon U-Pb dating indicates that syenogranite, diorite, granodiorite and monzonite of the Daheyan intrusions were all formed during late Carboniferous (311-303 Ma) magmatism. The syenogranite has geochemical characteristics of A-type granites that were mainly sourced from melting of juvenile crust. In comparison, the low-Mg-number diorite intrusion, with tholeiite and metaluminous features, was derived from young crust and mixed some mantle materials. The granodiorite and monzonite are both I-type granites, and are both sourced from the melting of juvenile crust. Based on a comprehensive analysis of previous geochronological, geochemical and isotopic data of magmatic and sedimentary rocks in the Bogda-Harlik belt, we consider that late Carboniferous intrusive rocks of the Bogda Mountains formed in an intra-arc extension related to a continent-based arc setting.

The experimental setup is devised to simulate the presence of vertical cracks with varying widths within concrete structures. Co-polarimetric ground-penetrating radar (GPR) surveys are carried out to acquire the “VV” and “HH” polarization data. The time-varying centroid frequency attribute is employed to describe the vertical variation in the center frequency of the radar wave, unveiling a gradual vertical decay in the centroid frequency at the locations of vertical cracks. An improved time-varying centroid frequency attribute based on the adaptive sparse S-transform (ASST) is proposed and tested by a finite-difference time-domain model and co-polarimetric GPR data, which can offer better resolution compared to that of the conventional S-transform. By analyzing the waveform and centroid frequency properties of the two polarizations, we conclude that the “VV” polarization is relatively sensitive to centimeter scale cracks, while the “HH” polarization is more sensitive to millimeter scale cracks.

The risk of hypoxemia in painless gastroscopy has been widely recognized, but reliable predictors are still lacking. Tongue ultrasonography has been shown to facilitate the identification of difficult airways. In this study, we hypothesize that tongue ultrasonography may predict hypoxemia during painless gastroscopy, and aim to develop a predictive model for hypoxemia based on its prognostic value. This study included 304 patients underwent painless gastroscopy. Common and tongue ultrasound indicators were used for the prediction, including body mass index (BMI), Mallampati test score, tongue thickness (TT) and hyomental distance. Univariate and multivariate logistic regression were used to identify independent predictors of hypoxemia. Nomograms were constructed to predict hypoxemia based on the logistic regression analysis results and established risk factors documented in prior literature. Receiver operating characteristic (ROC) curves were used to evaluate the accuracy of the nomograms. The nomogram was internally validated. BMI, Mallampati score, TT, and popofol dose were integrated for hypoxemia nomogram. The areas under the ROC curves were 0.833 (95% confidence interval (CI) [0.762-0.904]). The calibration curve and decision curve analysis of the prediction model indicated that the model could have favourable predictive ability. Nomograms based on tongue ultrasonography could be a reliable tool in predicting hypoxemia during painless gastroscopy.

The probability of a train running over a bridge when an earthquake occurs is increasing with the total mileage of China’s high-speed railway network expanding. To study this issue, a three-dimensional train-track-bridge dynamic interaction system subjected to seismic excitations is established based on commercial mathematical software. Besides, a set of motion equations of the system are derived according to the multibody dynamics, the finite element method theory and the bridge seismic theory. Moreover, in order to study the dynamic response of high-speed railway bridges under earthquake, a series of experiments are conducted on a scaled high-speed railway simple supported bridge model with a ballastless track slab excited by shaking table tests. Meanwhile, the strain of rails, track slabs, base plates and girder in various working conditions are measured by quasi-distributed optical fiber sensing stuck in bridge members. At last, the dynamic response of each structure member is demonstrated in the time and frequency domains. Furthermore, the seismic isolation performance of bridge members, such as fasteners, cement asphalt (CA) mortar layer and so on, is explained in details.

One of the most important vector-borne disease in humans is malaria, caused by Plasmodium parasite. Seasonal temperature elements have a major effect on the life development of mosquitoes and the development of parasites. In this paper, we establish and analyze a reaction-diffusion model, which includes seasonality, vector-bias, temperature-dependent extrinsic incubation period (EIP) and maturation delay in mosquitoes. In order to get the model threshold dynamics, a threshold parameter, the basic reproduction number$ R_{0} $is introduced, which is the spectral radius of the next generation operator. Quantitative analysis indicates that when$ R_{0} < 1 $ , there is a globally attractive disease-free$ \\omega $ -periodic solution; disease is uniformly persistent in humans and mosquitoes if$ R_{0} > 1 $ . Numerical simulations verify the results of the theoretical analysis and discuss the effects of diffusion and seasonality. We study the relationship between the parameters in the model and$ R_{0} $ . More importantly, how to allocate medical resources to reduce the spread of disease is explored through numerical simulations. Last but not least, we discover that when studying malaria transmission, ignoring vector-bias or assuming that the maturity period is not affected by temperature, the risk of disease transmission will be underestimate.