Research on the Application of Digital Intelligence in Structural Mechanics Teaching

This paper explores the application of digital intelligence technologies in the teaching of Structural Mechanics, a core engineering course, and their innovative impacts. Initially, the importance of digitalization in modern education and its application in engineering education are introduced. The paper then analyzes the specific implementations of intelligent teaching tools and methods in structural mechanics education, such as simulation software, online course platforms, and interactive learning systems. Through case studies, it demonstrates how these technologies effectively enhance students' learning efficiency and depth of understanding, especially in complex structural analysis and problem-solving skills. Additionally, the paper discusses the potential contributions of digitalized teaching methods to fostering students' critical thinking and innovation capabilities. Finally, it provides an outlook on the future trends and potential challenges of digital intelligence applications in structural mechanics teaching

The twist-3 gluon contribution to Sivers asymmetry in J/ψJ/\psi production in semi-inclusive deep inelastic scattering

We carry out the first calculation for the twist-3 gluon contribution to the single transverse-spin asymmetry(SSA) in $J/\psi$ production in semi-inclusive deep inelastic scattering. Our result shows that the $J/\psi$ SSA is an ideal observable to pin down the $C$-even type twist-3 gluon distribution that has a direct relationship with the gluon transverse-momentum-dependent distribution function. We also perform some numerical simulations of the $J/\psi$ SSA for the kinematics accessible at the future electron-ion-collider experiment. For color-singlet contribution, the hadronization effect of $J/\psi$ is completely canceled at the level of the SSA and the spin-dependent structure functions directly reflect the behavior of the $C$-even twist-3 gluon distribution.Comment: 19 pages, 5 figure

Revisiting the linkage between green finance and China’s sustainable development: evidence from the pilot zones for green finance reform innovations

Based on the fundamental logic of “green finance – improvement of ecological environment and new kinetic energy of economic development – sustainable development of economy and society”, this paper conducts quasi-natural experiments using panel data from 30 provinces and cities in China between 2013 and 2021. It explores the effects of pilot policies of the green finance reform and innovation pilot zone on the sustainable development of the economy and society through a double difference model. The study reveals that the establishment of the green finance reform and innovation pilot zone has a significant promoting effect on the sustainable development of the economy and society. This conclusion remains valid even after conducting a series of robustness tests. In further analysis, it is found that the promotion effect of the green finance reform and innovation pilot zone on sustainable development exhibits some temporal characteristics. It is particularly significant in regions with lower levels of financial development and industrialization but higher levels of technological innovation. Mechanism analysis indicates that the pathways through which the green finance reform and innovation pilot zone facilitates economic and social sustainable development are relatively singular, primarily revolving around the improvement of the ecological environment. The key contribution of this paper lies in demonstrating the crucial role of pilot policies in the field of sustainable economic and social development. Additionally, it offers new insights for strengthening the implementation effectiveness of green finance pilot policies

Use of ITS2 Region as the Universal DNA Barcode for Plants and Animals

The internal transcribed spacer 2 (ITS2) region of nuclear ribosomal DNA is regarded as one of the candidate DNA barcodes because it possesses a number of valuable characteristics, such as the availability of conserved regions for designing universal primers, the ease of its amplification, and sufficient variability to distinguish even closely related species. However, a general analysis of its ability to discriminate species in a comprehensive sample set is lacking.In the current study, 50,790 plant and 12,221 animal ITS2 sequences downloaded from GenBank were evaluated according to sequence length, GC content, intra- and inter-specific divergence, and efficiency of identification. The results show that the inter-specific divergence of congeneric species in plants and animals was greater than its corresponding intra-specific variations. The success rates for using the ITS2 region to identify dicotyledons, monocotyledons, gymnosperms, ferns, mosses, and animals were 76.1%, 74.2%, 67.1%, 88.1%, 77.4%, and 91.7% at the species level, respectively. The ITS2 region unveiled a different ability to identify closely related species within different families and genera. The secondary structure of the ITS2 region could provide useful information for species identification and could be considered as a molecular morphological characteristic.)

Visual disability in neuromyelitis optica spectrum disorders: prognostic prediction models

Background and objectivesNeuromyelitis optica spectrum disorder (NMOSD) is an autoimmune inflammatory disease of the central nervous system characterized by simultaneous or consecutive episodes of acute optic neuritis and transverse myelitis. Attacks of NMOSD can result in the accrual of severe visual disability over time. This study aimed to develop and validate prognostic models for visual disability risk within 1, 3, and 5 years.MethodsMedical records of NMOSD patients were retrospectively analyzed. The least absolute shrinkage and selection operator (LASSO) regression algorithm and univariate and multivariate Cox regression analyses were performed to select predictors of visual disability. Two models predicting the probability of visual disability in 1, 3, and 5 years were developed based on different selections and displayed as nomograms. Risk scores were calculated for every patient, and a cut-off point was obtained to recognize patients at high risk.ResultsIn total, 161 (25.2%) patients developed visual disabilities during the follow-up period. Four visual disability-related factors were selected using LASSO regression: optic neuritis (ON) onset, higher annual relapse rate (ARR) before maintenance therapy, no maintenance immune suppression therapy (IST), and initial severe attack. Three additional predictors were determined using multivariate Cox regression: male sex, age at first onset, and positive AQP4-IgG serology. Discrimination and calibration were satisfied, with concordance indexes (C-index) close to 0.9 in both models. Decision curve analysis showed good clinical usefulness in both models, and Kaplan-Meier curves showed satisfactory discrimination between patients with high risk and low risk by the cut-off points.ConclusionThis study reported predictors of visual disability and generated nomograms. High-risk patients need more active treatment and management to avoid unfavorable outcomes

Analysis of the transcriptome of Panax notoginseng root uncovers putative triterpene saponin-biosynthetic genes and genetic markers

<p>Abstract</p> <p>Background</p> <p><it>Panax notoginseng </it>(Burk) F.H. Chen is important medicinal plant of the <it>Araliacease </it>family. Triterpene saponins are the bioactive constituents in <it>P. notoginseng</it>. However, available genomic information regarding this plant is limited. Moreover, details of triterpene saponin biosynthesis in the <it>Panax </it>species are largely unknown.</p> <p>Results</p> <p>Using the 454 pyrosequencing technology, a one-quarter GS FLX titanium run resulted in 188,185 reads with an average length of 410 bases for <it>P. notoginseng </it>root. These reads were processed and assembled by 454 GS <it>De Novo </it>Assembler software into 30,852 unique sequences. A total of 70.2% of unique sequences were annotated by Basic Local Alignment Search Tool (BLAST) similarity searches against public sequence databases. The Kyoto Encyclopedia of Genes and Genomes (KEGG) assignment discovered 41 unique sequences representing 11 genes involved in triterpene saponin backbone biosynthesis in the 454-EST dataset. In particular, the transcript encoding dammarenediol synthase (DS), which is the first committed enzyme in the biosynthetic pathway of major triterpene saponins, is highly expressed in the root of four-year-old <it>P. notoginseng</it>. It is worth emphasizing that the candidate cytochrome P450 (Pn02132 and Pn00158) and UDP-glycosyltransferase (Pn00082) gene most likely to be involved in hydroxylation or glycosylation of aglycones for triterpene saponin biosynthesis were discovered from 174 cytochrome P450s and 242 glycosyltransferases by phylogenetic analysis, respectively. Putative transcription factors were detected in 906 unique sequences, including Myb, homeobox, WRKY, basic helix-loop-helix (bHLH), and other family proteins. Additionally, a total of 2,772 simple sequence repeat (SSR) were identified from 2,361 unique sequences, of which, di-nucleotide motifs were the most abundant motif.</p> <p>Conclusion</p> <p>This study is the first to present a large-scale EST dataset for <it>P. notoginseng </it>root acquired by next-generation sequencing (NGS) technology. The candidate genes involved in triterpene saponin biosynthesis, including the putative CYP450s and UGTs, were obtained in this study. Additionally, the identification of SSRs provided plenty of genetic makers for molecular breeding and genetics applications in this species. These data will provide information on gene discovery, transcriptional regulation and marker-assisted selection for <it>P. notoginseng</it>. The dataset establishes an important foundation for the study with the purpose of ensuring adequate drug resources for this species.</p

Effectiveness and tolerability of different therapies in preventive treatment of MOG-IgG-associated disorder: A network meta-analysis

BackgroundImmunotherapy has been shown to reduce relapses in patients with myelin oligodendrocyte glycoprotein antibody-associated disorder (MOG-AD); however, the superiority of specific treatments remains unclear.AimTo identify the efficacy and tolerability of different treatments for MOG-AD.MethodsSystematic search in Pubmed, Embase, Web of Science, and Cochrane Library databases from inception to March 1, 2021, were performed. Published articles including patients with MOG-AD and reporting the efficacy or tolerability of two or more types of treatment in preventing relapses were included. Reported outcomes including incidence of relapse, annualized relapse rate (ARR), and side effects were extracted. Network meta-analysis with a random-effect model within a Bayesian framework was conducted. Between group comparisons were estimated using Odds ratio (OR) or mean difference (MD) with 95% credible intervals (CrI).ResultsTwelve studies that compared the efficacy of 10 different treatments in preventing MOG-AD relapse, including 735 patients, were analyzed. In terms of incidence of relapse, intravenous immunoglobulins (IVIG), oral corticosteroids (OC), mycophenolate mofetil (MMF), azathioprine (AZA), and rituximab (RTX) were all significantly more effective than no treatment (ORs ranged from 0.075 to 0.34). On the contrary, disease-modifying therapy (DMT) (OR=1.3, 95% CrI: 0.31 to 5.0) and tacrolimus (TAC) (OR=5.9, 95% CrI: 0.19 to 310) would increase the incidence of relapse. Compared with DMT, IVIG significantly reduced the ARR (MD=−0.85, 95% CrI: −1.7 to −0.098). AZA, MMF, OC and RTX showed a trend to decrease ARR, but those results did not reach significant differences. The combined results for relapse rate and adverse events, as well as ARR and adverse events showed that IVIG and OC were the most effective and tolerable therapies.ConclusionsWhilst DMT should be avoided, IVIG and OC may be suited as first-line therapies for patients with MOG-AD. RTX, MMF, and AZA present suitable alternatives

Optimising the Business and Talent Environment in Chengdu to Help High-quality Economic Development

This paper selects the time series data of Chengdu city from 2009 to 2018, refers to the existing literature, constructs an econometric model for empirical research, uses Eviews software to conduct regression analysis and model testing, and selects the data of its representative variables from the three perspectives of the construction of business talent environment (policy environment, talent attractiveness, and ecological livability level) to conduct an empirical study on the relationship between business talent environment and The results show that: the financial expenditure on social security and employment The results show that social security and employment expenditure, average annual wage and green space in Chengdu, as important factors influencing the construction of business and talent environment, have a significant effect on the high-quality economic development of Chengdu

A Study on the Dynamic Relationship between Digital Financial Development, Social Consumption and Economic Growth

With the development of the Internet, digital finance provides “efficient, responsible and commercially sustainable” financial services to more economic agents at a lower cost of capital and in a more convenient way, thus achieving the long-term goal of financial services that are both inclusive and precise in the real economy. Social consumption and economic growth are closely related, as the economy increases, so does consumption, and consumption also drives economic growth. By building a VAR model and using econometric methods, this paper empirically analyses that the three factors, namely digital economy development, social consumption and economic growth, have obvious roles and long-term dynamic relationships, but there is no good dynamic cycle between the three factors, and gives corresponding policy recommendations

Studies on the Developmental Potentiality of Cultured Cell Nuclei of Fish

<p>By means of the serial nuclear transplantation technique, the authors obtained a nuclear transplant fish from subcultured cell originated from the blastula cells of the crucian carp (<i>Carassius auratus </i>Linnaeus)<i>. </i>This nuclear transplant fish survived for three years, but its sexual glands were undifferentiated. The authors have also obtained a sexually mature adult fish from short-term cultured kidney cell nucleus of an adult crucian carp.</p> <p>Results of the experiment implied that the subcultured cell nuclei of fish blastula cells and the specialized somatic cell nuclei of adult fish still retained their developmental totipotency, and thus, it indicated that there is a possibility of fish somatic cell breeding through the use of nuclear transplantation.</p