•Artificial intelligence (AI) significantly promotes technological innovation.•AI promotes technological innovation by knowledge creation and spillover, learning and absorption, and investment in ...R&D.•This paper empirically tests the promotional effect of AI on technological innovation and its sector heterogeneity.
This paper analyzes the impact of artificial intelligence (AI) on technological innovation through logic reasoning and empirical modeling. Based on the industrial robot data provided by the International Federation of Robotics (IFR) and the panel data of China's 14 manufacturing sectors from 2008 to 2017, this paper empirically analyzes the impact of AI on technological innovation. Our analysis shows that the mechanism of how AI affects technological innovation is that the former promotes technological innovation through accelerating knowledge creation and technology spillover, improving learning and absorptive capacities, while increasing R&D and talent investment. Our empirical results indicate that under the condition of controlling intensity of R&D investment, FDI, ownership structure, technical imitation, AI significantly promotes technological innovation. And the impact of AI on technological innovation experiences sector heterogeneity: AI has more significant impact on the technological innovation of low-tech sectors. The higher the level of AI, the greater its impact on technological innovation. Based on our established conclusions, we provide corresponding suggestions and recommendations for managerial decision-making.
This paper analyzes the impact of technology innovation on capacity utilization of enterprises located in the Yangtze River Economic Belt through logic reasoning and empirical modeling. Our analysis ...shows that the mechanism of how technology innovation affects capacity utilization is that the former promotes the latter through meeting market demand, improving production and management efficiency, and optimizing industrial structures. Our empirical results indicate that the influence of technology innovation on the capacity utilization of enterprises in the Yangtze River Economic Belt evidently possesses positive “U” characteristics. Compared with the upstream and downstream regions of the river, the technology innovation of enterprises in the middle reaches can break the U-shaped inflection point earlier. Compared with light industrial enterprises, heavy industrial enterprises can also break the U-shaped inflection point earlier. Compared with non-overcapacity enterprises, those with overcapacity can break the U-shaped inflection point earlier. The technology innovation of non-state-owned enterprises has obvious positive “U” characteristics in the impact of capacity utilization, while the technology innovation of state-owned enterprises has no significant impact on capacity utilization.
Based on the hybrid hypersingular integral equation-lattice Boltzmann methods (HHIE-LBM), the porosity and permeability evolution and evaluation process in anisotropic saturated porosity ...multiscale-multiphase-multicomponent (ASP-MS-MP-MC) structures under ultra high temperature and pressure conditions was analyzed on parallel CPU and GPU platforms. First, virtual physical models at multi-spatial scales (2 μm, 5 μm and 10 μm) were restructured by computerized microtomography technology and data. Second, using HHIE-LBM methods, the anisotropic porosity and permeability tensor at core level and pore level under ultra high temperature and pressure conditions were calculated. Third, the evolution and evaluation process of the porosity and permeability as a function of multi temporal spatial scales was investigated. Finally, the relationship between porosity and permeability and ASP-MS-MP-MC structures (micro-meso-macro-scale) was explored.
•Rod-like FeWO4 photocatalysts were prepared by adjusting experimental parameters.•The FeWO4 nanorods material exhibited superior visible light photocatalytic activity.•The synergistic effect of ...Fenton reaction and photocatalysis was significant.•Photogenerated electrons captured by Fe3+ was important in synergistic reaction.
For the first time, uniform monodispersed FeWO4 nanorods were developed by a hydrothermal-assisted reverse microemulsion method. The effects of synthesis conditions such as the molar ratio (w) between water to surfactant, reactant concentrations (C), raw materials on FeWO4 morphology and particles size were investigated. The results indicated that rod-like FeWO4 with different sizes can be obtained by tuning the w values and reaction concentration. Photocatalytic experiment shows that due to the relatively narrow band gap 2.35 eV, FeWO4 nanorods exhibits significant visible-light-driven activity for the degradation of MB dye. Cycle experiment and magnetic test show that this novel visible-driven photocatalyst may have a potential application in the water treatment due to its high performance and easy recycle.
Schematic diagram of the proposed degradation mechanism towards the FeWO4/WO3 heterostructure photocatalyst.
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•Novel visible-light driven FeWO4/WO3 photocatalysts were fabricated via a ...facile two-step hydrothermal process.•The p–n heterojunction lead to the efficient transportation of photogenerated carriers and superior absorption capacity.•The FeWO4/WO3 exhibited a significantly higher de-coloration and TOC removal efficiency of toxic organics.•The ·OH played more important role on the efficient removing target pollutants.•A possible mechanism of enhanced photocatalysis and degradation pathway were investigated.
In the first time, a novel FeWO4/WO3 p–n heterostructure was constructed through a facile two-step hydrothermal process. The optimal 0.5-FeWO4/WO3 sample exhibited 90% degradation in 2 h toward to methylene blue (MB) and tetracycline hydrochloride (TC) and the total organic carbon (TOC) removal achieved 52% and 40% with 4 h irradiated under visible light irradiation. The enhancement of photocatalytic efficiency can be attributed to the synergistic effects of higher adsorption ability, stronger visible light response, larger BET specific surface area and faster carrier separation and migration rate. The electron spin resonance (ESR) showed that the hydroxyl radical (·OH) was the primary active species. Based on the analysis of the energy band position and ESR, a possible carrier transfer mechanism of enhanced performance in the heterostructure was proposed. Furthermore, the possible degradation pathway was discussed combined with liquid chromatography mass-spectrometry (LCMS). This novel heterostructure catalyst with high efficiency may possess a promising application towards the environment issues.
Lateral lymph node dissection (LLND) is an effective treatment for metastatic lateral lymph nodes (LLNs) in lower rectal cancer, but with high complication rates due to a complicated procedure. This ...study aimed to introduce a new technique for LLND based on membrane anatomy to simplify the procedure and report short-term outcomes.
Twenty-three patients with clinical stage II-III lower rectal cancer underwent three-dimensional (3D) laparoscopic total mesorectal excision (TME) plus LLND between July 2018 and December 2020. Demographic data, perioperative variables, and oncologic outcomes were recorded and analyzed. Complications were graded using the Clavien-Dindo (CD) score.
Based on the theory of "four fasciae and three spaces," we proposed a fascia-to-space surgical approach to perform LLND. 3D laparoscopic TME plus LLND was performed successfully in all patients. The mean operating time was 172 minutes with a mean blood loss of 85 mL. Postoperative complications were present in 5 (17.4%) patients (CD I-II), including a case of urinary retention. The median number of harvested LLNs was 9, and positive LLNs were detected in 7 (30.4%) patients. After a median follow-up of 26.5 months, 2 (8.7%) patients developed liver metastases, but no local recurrence.
Laparoscopic LLND based on membrane anatomy is a safe, feasible, and reproducible procedure and thus worthy of clinical promotion. Further studies with long-term follow-up in larger patient series are still required.
Highly sensitive and easy detection method for Alzheimer's disease (AD) with a suitable biomarker is mandatory for preventing the factors resulting from AD. This research reports a modified ELISA ...with graphene for the detection of AD biomarker amyloid beta (Aβ) oligomer. Gold nanoparticle (AuNP) conjugated aptamer was used as the capture probe and attached on ELISA-graphene oxide surface through the amine linker. Antibody was used as the detection molecule to reach the maximum detection of Aβ oligomer. Suitable level of APTMS (2%), size of AuNP (30 nm) and aptamer concentration (2 μM) were optimized. This sandwich pattern of aptamer-Aβ oligomer-antibody helps to reach the detection at 50 pM on the optimized ELISA surface and the control experiments in the absence of Aβ oligomer or anti-Aβ oligomer antibody did not show the significant optical detection at 492 nm, indicting the specific detection. Further, Aβ oligomer spiked artificial cerebrospinal fluid did not interfere the detection of Aβ oligomer, confirming the selective detection. This new and modified ELISA surface helps to reach the lower detection of Aβ oligomer and diagnose AD.
Accurate CO 2 tracking in electric substation construction is vital for climate efforts, using monocular SLAM for monitoring despite challenges like sunlight and complex terrain. Additionally, these ...methods typically yield only aggregate carbon emission data, thereby lacking the granularity necessary for precise monitoring throughout the construction process. These limitations compromise mapping accuracy and impede the integration of digital twins and IoT technologies. Addressing these issues, this paper proposed a methodology combining red, green, and blue (RGB) cameras and multi-camera collaboration with digital design systems, enhancing SLAM capabilities. The advanced technique integrated methods including overlap estimation, depth reasoning, noise reduction, and surface reconstruction to create accurate 3D models, enhancing scene reconstruction and real-time CO 2 tracking during construction and operation. Leveraging continuous on-site camera monitoring as a substitute for manual inspections, it significantly contributes to the compilation of a comprehensive carbon emission database within a digital twin framework. Experimental results confirmed the proposed method’s superiority over previous works in real-time CO 2 estimation, enhancing decision-making, resource management, and sustainable energy development. Overall, besides its application in substation construction for CO 2 monitoring, this methodology can also be applied to carbon tracking in various other construction projects.
Coronary angiography-derived radial wall strain (RWS) is a newly developed index that can be readily accessed and describes the biomechanical features of a lesion.
The authors sought to investigate ...the association of RWS with fractional flow reserve (FFR) and high-risk plaque (HRP), and their relative prognostic implications.
We included 484 vessels (351 patients) deferred after FFR measurement with available RWS data and coronary computed tomography angiography. On coronary computed tomography angiography, HRP was defined as a lesion with both minimum lumen area <4 mm
and plaque burden ≥70%. The primary outcome was target vessel failure (TVF), a composite of target vessel revascularization, target vessel myocardial infarction, or cardiac death.
The mean FFR and RWS
were 0.89 ± 0.07 and 11.2% ± 2.5%, respectively, whereas 27.7% of lesions had HRP, 15.1% had FFR ≤0.80. An increase in RWS
was associated with a higher risk of FFR ≤0.80 and HRP, which was consistent after adjustment for clinical or angiographic characteristics (all P < 0.05). An increment of RWS
was related to a higher risk of TVF (HR: 1.23 95% CI: 1.03-1.47; P = 0.022) with an optimal cutoff of 14.25%. RWS
>14% was a predictor of TVF after adjustment for FFR or HRP components (all P < 0.05) and showed a direct prognostic effect on TVF, not mediated by FFR ≤0.80 or HRP in the mediation analysis. When high RWS
was added to FFR ≤0.80 or HRP, there were increasing outcome trends (all P for trend <0.001).
RWS was associated with coronary physiology and plaque morphology but showed independent prognostic significance.
Nanotechnology is playing a major role in the field of medical diagnosis, in particular with the biosensor and bioimaging. It improves the performance of the desired system dramatically by displaying ...higher selectivity and sensitivity. Carbon nanomaterial, gold nanostructure, magnetite nanoparticle, and silica substrate are the most popular nanomaterials greatly contributed to make the affordable and effective biosensor at low-cost. This research work is introducing a new sensing strategy with graphene oxide-constructed triangular electrodes to diagnose Alzheimer’s disease (AD). MicroRNA-137 (miRNA-137) was found as a suitable biomarker for AD, and the sensing method was established here to detect miRNA-137 on the complementary sequence. To enhance the immobilization of capture miRNA-137, gold nanostar (GNS) was conjugated with capture miRNA and immobilized on the GO-modified surface through an amine linker. This immobilization process enhanced the hybridization of the target and reaches the detection limit at 10 fM with the sensitivity of 1 fM on the linear curve with a regression coefficient of 0.9038. Further control sequences of miRNA-21 and single and triple base mismatched miRNA-137 did not show a significant response in current changes, indicating the specific miRNA-137 detection for diagnosing AD.
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