Taiwan Province Research Articles

Identify and map coastal aquaculture ponds and their drainage and impoundment dynamics

Sustainable management of coastal aquaculture ponds could achieve win-win between food and economic benefits and ecological conservation including waterbird. In this study, 5,790 Harmonized Landsat and Sentinel-2 images from July 2021 to June 2022 and 498 Sentinel-1 images from July 2021, August 2021, and June 2022 as supplementary data were collected to calculate multiple water indices. Based on Otsu algorithm to distinguish between water and non-water region and Savitzky-Golay filtering to optimize time series, coastal aquaculture ponds were identified using the SNIC. Furthermore, their drainage and impoundment phases were determined using the Dynamic Time Warping-Kmeans++ method. Finally, a new 30-m resolution dataset at the national scale of China was generated with an overall accuracy greater than 90 % for both the pond map and the drainage and impoundment phases. Our observations revealed that the total area was 7,919.53 km2, with the largest pond area in Shandong Province. Among the coastal aquaculture ponds, 27.95 % were seasonal aquaculture ponds, 70.32 % were yearlong aquaculture ponds, and 1.49 % were abandoned aquaculture ponds. Drainage start dates, end dates, and durations were calculated based on abrupt changes in the water proportion time series. Drainage start dates were concentrated from September to December, while drainage end dates were from January to April. Drainage durations of coastal aquaculture ponds ranged from two weeks to six months, with Shanghai Municipality having the longest drainage durations and Taiwan Province having the shortest drainage durations. The findings could provide scientific support for modifying the drainage and impoundment phases of coastal aquaculture ponds to achieve the win–win goal of improving economic development and protecting waterbirds or improving offshore water quality.

City Influence Network: Mining and Analyzing the Influence of Chinese Cities Based on Social Media

ABSTRACTThere have been very few studies done on measuring the influence of all prefecture‐level cities on a national scale due to the limited availability of public data, challenges in data collection, and insufficient data comprehensiveness. In this paper, we aim to fill this gap by investigating this problem in China. We first collected 692,859 news articles spanning one full year from the WeChat Official Accounts of 339 cities and Taiwan Province, which served as our study area and dataset. Then, we developed a city extractor module to reduce the ambiguity of place names and constructed a city interaction network. Then, we modeled the City Influence Index (CII) and the intensity of its influence. Finally, we proposed an analytical framework that examines the relationship between CII and Gross Domestic Product (GDP), compares it with the Global Cities Index, conducts influence analysis of cities at different levels, and more. The experimental results demonstrate that our analytical framework can effectively measure the influence of cities on a national scale and uncover the implicit relationships between cities. In doing so, our study offers a new perspective for measuring city influence. Code is available at: https://github.com/vczero/CII.

Source characteristics of the 2006 Pingtung earthquake doublet off southern Taiwan and the possible contribution of submarine landslides to the Tsunami

On 26th December 2006, two successive large earthquakes of Mw ∼7.0, occurred offshore southwest Taiwan, being 8 min apart, known as the 2006 Pingtung earthquake doublet. The earthquakes triggered a hazard chain consisting of regional-scale tsunamis, submarine landslides, and turbidity currents. The tsunami waves with moderate height (10–60 cm) were recorded by 12 tide gauges along southern Taiwan, Guangdong, and Fujian provinces. Submarine landslide-induced turbidity currents inflicted widespread damage to telecommunication cables across the Kaoping Canyon and Manila Trench. Although the mechanisms of the individual hazard in the chain have been investigated previously, the interaction mechanisms and the causal relationship among them remain unclear due to the complexity of the dynamic process. Here, with the best available instrumental records of these events, we first reexamined the earthquake doublet's source characteristics and obtained the earthquake source models using regional seismic waves, high-rate GPS displacements, and strong motion waveforms. We then conducted forward tsunami modeling, along with spectral analysis of the tide gauge records and backward tsunami ray tracing technique, to gain insight of the hydrodynamic features of tsunamis and the contribution of landslides to tsunami generation. The main findings can be summarized as follows. The centroid depth of the first earthquake was found to be ∼28 km, which is shallower than the local CWB catalog suggested. The slip distribution was characterized by two close slip patches, ranging over depths of 15–35 km and occupying 40 km along the strike. The shallower focal depth and normal-faulting mechanism can well explain the recorded tsunami waves. Notably, wave analysis suggests that tsunami waves induced by landslides may have occurred in two episodes. The first round was likely produced by the landslides triggered simultaneously by the initial earthquake doublet. The largest aftershock, which occurred 14 h after the doublet with a strike-slip mechanism, may have caused the landslides near the head of Kaoping Canyon and possibly the second-round tsunami.

The plastome and phylogenetic status of Cotoneaster rosiflorus (Rosaceae)

Endemic to Taiwan Province, China, Cotoneaster rosiflorus Kun-Cheng Chang & Fu-Yuan Lu 2011 (Rosaceae) holds significant ecological and ornamental importance. Despite its value, research on its molecular data and phylogenetic position has remained limited. In this study, we addressed this gap by sequencing the genome-skimming data, assembling its plastome, and investigating its phylogenetic position. The plastome, spanning 159,449 bp in length, consisted of a large single-copy (87,433 bp), a small single-copy (19,262 bp), and two inverted repeat regions (26,377 bp). We annotated a total of 128 functional genes, including 84 protein-coding genes, 36 transfer genes, and eight ribosomal RNA genes. The phylogenetic results indicated that C. rosiflorus is closely related to C. dammerii, suggesting that C. rosiflorus might have captured its chloroplast from C. dammerii through hybridization and introgression events. This study offered valuable insights for forthcoming phylogenetic and population genetic investigations of Cotoneaster.

Global, regional, and national burden of gout, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Gout is an inflammatory arthritis manifesting as acute episodes of severe joint pain and swelling, which can progress to chronic tophaceous or chronic erosive gout, or both. Here, we present the most up-to-date global, regional, and national estimates for prevalence and years lived with disability (YLDs) due to gout by sex, age, and location from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, as well as forecasted prevalence to 2050. Gout prevalence and YLDs from 1990 to 2020 were estimated by drawing on population-based data from 35 countries and claims data from the USA and Taiwan (province of China). Nested Bayesian meta-regression models were used to estimate prevalence and YLDs due to gout by age, sex, and location. Prevalence was forecast to 2050 with a mixed-effects model. In 2020, 55·8 million (95% uncertainty interval 44·4-69·8) people globally had gout, with an age-standardised prevalence of 659·3 (525·4-822·3) per 100 000, an increase of 22·5% (20·9-24·2) since 1990. Globally, the prevalence of gout in 2020 was 3·26 (3·11-3·39) times higher in males than in females and increased with age. The total number of prevalent cases of gout is estimated to reach 95·8 million (81·1-116) in 2050, with population growth being the largest contributor to this increase and only a very small contribution from the forecasted change in gout prevalence. Age-standardised gout prevalence in 2050 is forecast to be 667 (531-830) per 100 000 population. The global age-standardised YLD rate of gout was 20·5 (14·4-28·2) per 100 000 population in 2020. High BMI accounted for 34·3% (27·7-40·6) of YLDs due to gout and kidney dysfunction accounted for 11·8% (9·3-14·2). Our forecasting model estimates that the number of individuals with gout will increase by more than 70% from 2020 to 2050, primarily due to population growth and ageing. With the association between gout disability and high BMI, dietary and lifestyle modifications focusing on bodyweight reduction are needed at the population level to reduce the burden of gout along with access to interventions to prevent and control flares. Despite the rigour of the standardised GBD methodology and modelling, in many countries, particularly low-income and middle-income countries, estimates are based on modelled rather than primary data and are also lacking severity and disability estimates. We strongly encourage the collection of these data to be included in future GBD iterations. Bill & Melinda Gates Foundation and the Global Alliance for Musculoskeletal Health.

Evolution of Chatbots in Nursing Education: Narrative Review.

The integration of chatbots in nursing education is a rapidly evolving area with potential transformative impacts. This narrative review aims to synthesize and analyze the existing literature on chatbots in nursing education. This study aims to comprehensively examine the temporal trends, international distribution, study designs, and implications of chatbots in nursing education. A comprehensive search was conducted across 3 databases (PubMed, Web of Science, and Embase) following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram. A total of 40 articles met the eligibility criteria, with a notable increase of publications in 2023 (n=28, 70%). Temporal analysis revealed a notable surge in publications from 2021 to 2023, emphasizing the growing scholarly interest. Geographically, Taiwan province made substantial contributions (n=8, 20%), followed by the United States (n=6, 15%) and South Korea (n=4, 10%). Study designs varied, with reviews (n=8, 20%) and editorials (n=7, 18%) being predominant, showcasing the richness of research in this domain. Integrating chatbots into nursing education presents a promising yet relatively unexplored avenue. This review highlights the urgent need for original research, emphasizing the importance of ethical considerations.

Global, regional and national burdens of Nasopharynx cancer in the adolescents and young adults from 1990 to 2019 and its predictions

PurposeTo use data from the Global Burden of Disease (GBD) Study 2019 to report the global, regional and national rates and trends of deaths incidence, prevalence, disability-adjusted life years (DALYs) for Nasopharynx cancer (NPC) in adolescents and young adults (AYAs).MethodsData from the GBD 2019 were used to analyze deaths incidence, prevalence and DALYs due to NPC at global, regional, and national levels. Joinpoint regression analysis was used to calculate the average annual percentage changes (AAPC). The association between incidence, prevalence and DALYs and socioeconomic development was analyzed using the GBD Socio-demographic Index (SDI). Finally, projections were made until 2030 and calculated in Nordpred.ResultsThe incidence, prevalence, death and DALYs rates (95%UI) due to NPC 0.96 (0.85–1.09, 6.31 (5.54–7.20),0.20 (0.19–0.22), and 12.23(11.27–13.29) in 2019, respectively. From 1990 to 2019, the incidence and prevalence rates increased by 1.79 (95% CI 1.03 to 2.55) and 2.97(95% CI 2.13 to 3.82) respectively while the deaths and DALYs rates declined by 1.64(95%CI 1.78 to 1.49) and 1.6(95%CI 1.75 to 1.4) respectively. Deaths and DALYs rates in South Asia, East Asia, North Africa and Middle East decreased with SDI. Incidence and prevalence rates in East Asia increased with SDI. At the national level, the incidence and prevalence rates are high in China, Taiwan(China), Singapore, Malaysia, Brunel Darussalam, Algeria, Tunisia, Libya and Malta. Meanwhile, the deaths and DALYs rates are still high in Malaysia, Brunel Darussalam, Greenland and Taiwan(Province of China). The deaths and DALYs rates are low in Honduras, Finland and Norway. From the 2020 to 2030, ASIR、ASPR and ASDR in most regions are predicted to stable, but DALYs tends to decline.ConclusionNPC in AYAs is a significant global public problem. The incidence, prevalence, and DALYs rates vary widely by region and country. Therefore different regions and countries should be targeted to improve the disease burden of NPC.

Prediction of the Potential Distribution of Teinopalpus aureus Mell, 1923 (Lepidoptera, Papilionidae) in China Using Habitat Suitability Models

The Golden Kaiser-I-Hind (Teinopalpus aureus Mell, 1923) is the only butterfly among Class I national protected animals in China and is known as the national butterfly. In this study, by accurately predicting the suitable habitat in China under current and future climate scenarios, the potential distribution area of T. aureus was defined, providing a theoretical basis for conservation and management. Based on species distribution records, we utilized the Biomod2 platform to combine climate data from the BCC-CSM2-MR climate model, future shared socio-economic pathways, and altitude data. The potential distribution areas of T. aureus in the current (1970–2000s) and future SSP1_2.6 and SSP5_8.5 climate scenarios in China in 2041–2060 (2050s), 2061–2080 (2070s), and 2081–2100 (2090s) were predicted. The AUC and TSS values of the combined model based on five algorithms were greater than those of the single models, and the AUC value of the receiver operating characteristic curve was 0.990, indicating that the model had high reliability and accuracy. The screening of environmental variables showed that the habitat area of T. aureus in China was mainly affected by annual precipitation, precipitation in the driest month, the lowest temperature in the coldest month, temperature seasonality, elevation, and other factors. Under the current circumstances, the habitat area of T. aureus was mainly located in southern China, including Fujian, Guangdong, Guangxi, Hainan, Zhejiang, Yunnan, Guizhou, Hunan, Taiwan, and other provinces. The suitable area is approximately 138.95 × 104 km2; among them, the highly suitable area of 34.43 × 104 km2 is a priority area in urgent need of protection. Under both SSP1_2.6 and SSP5_8.5, the population centroid tended to shift southward in the 2050s and 2070s, and began to migrate northeast in the 2090s. Temperature, rainfall, and altitude influenced the distribution of T. aureus. In the two climate scenarios, the habitat area of T. aureus declined to different degrees, and the reduction was most obvious in the SSP5_8.5 scenario; climate was the most likely environmental variable to cause a change in the geographical distribution. Climate change will significantly affect the evolution and potential distribution of T. aureus in China and will increase the risk of extinction. Accordingly, it is necessary to strengthen protection and to implement active and effective measures to reduce the negative impact of climate change on T. aureus.

Predicting Quercus gilva distribution dynamics and its response to climate change induced by GHGs emission through MaxEnt modeling

Quercus gilva, an evergreen tree species in Quercus section Cyclobalanopsis, is an ecologically and economically valuable species in subtropical regions of East Asia. Predicting the impact of climate change on potential distribution of Q. gilva can provide a scientific basis for the conservation and utilization of its genetic resources, as well as for afforestation. In this study, 74 distribution records of Q. gilva and nine climate variables were obtained after data collection and processing. Current climate data downloaded from WorldClim and future climate data predicted by four future climate scenarios (2040s SSP1-2.6, 2040s SSP5-8.5, 2060s SSP1-2.6, and 2060s SSP5-8.5) mainly based on greenhouse gases emissions of distribution sites were used in MaxEnt model with optimized parameters to predict distribution dynamics of Q. gilva and its response to climate change. The results showed that the predicted current distribution was consistent with natural distribution of Q. gilva, which was mainly located in Hunan, Jiangxi, Zhejiang, Fujian, Guizhou, and Taiwan provinces of China, as well as Japan and Jeju Island of South Korea. Under current climate conditions, precipitation factors played a more significant role than temperature factors on distribution of Q. gilva, and precipitation of driest quarter (BIO17) is the most important restriction factor for its current distribution (contribution rate of 57.35%). Under future climate conditions, mean temperature of driest quarter (BIO9) was the essential climate factor affecting future change in potential distribution of Q. gilva. As the degree of climatic anomaly increased in the future, the total area of predicted distribution of Q. gilva showed a shrinking trend (decreased by 12.24%–45.21%) and Q. gilva would migrate to high altitudes and latitudes. The research results illustrated potential distribution range and suitable climate conditions of Q. gilva, which can provide essential theoretical references for the conservation, development, and utilization of Q. gilva and other related species.

Drivers for Inter-city Innovation Networks Across Chinese Cities: Modelling Physical Versus Intangible Effects

Cross-region innovation is widely recognized as an important source of the long-term regional innovation capacity. In the recent past, a growing number of studies has investigated the network structure and mechanisms of cross-region innovation collaboration in various contexts. However, existing research mainly focuses on physical effects, such as geographical distance and high-speed railway connections. These studies ignore the intangible drivers in a changing environment, the more digitalized economy and the increasingly solidified innovation network structure. Thus, the focus of this study is on estimating determinants of innovation networks, especially on intangible drivers, which have been largely neglected so far. Using city-level data of Chinese patents (excluding Hong Kong, Macao, and Taiwan Province of China), we trace innovation networks across Chinese cities over a long period of time. By integrating a measure on Information and Communications Technology (ICT) development gap and network structural effects into the general proximity framework, this paper explores the changing mechanisms of Chinese innovation networks from a new perspective. The results show that the structure of cross-region innovation networks has changed in China. As mechanisms behind this development, the results confirm the increasingly important role of intangible drivers in Chinese inter-city innovation collaboration when controlling for effects of physical proximity, such as geographical distance. Since digitalization and coordinated development are the mainstream trends in China and other developing countries, these countries’ inter-city innovation collaboration patterns will witness dramatic changes under the influence of intangible drivers.

Global, regional, and national burden of neck pain, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Neck pain is a highly prevalent condition that leads to considerable pain, disability, and economic cost. We present the most current estimates of neck pain prevalence and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) by age, sex, and location, with forecasted prevalence to 2050. Systematic reviews identified population-representative surveys used to estimate the prevalence of and YLDs from neck pain in 204 countries and territories, spanning from 1990 to 2020, with additional data from opportunistic review. Medical claims data from Taiwan (province of China) were also included. Input data were pooled using DisMod-MR 2.1, a Bayesian meta-regression tool. Prevalence was forecast to 2050 using a mixed-effects model using Socio-demographic Index as a predictor and multiplying by projected population estimates. We present 95% UIs for every metric based on the 2·5th and 97·5th percentiles of 100 draws of the posterior distribution. Globally, in 2020, neck pain affected 203 million (95% uncertainty interval [UI] 163-253) people. The global age-standardised prevalence rate of neck pain was estimated to be 2450 (1960-3040) per 100 000 population and global age-standardised YLD rate was estimated to be 244 (165-346) per 100 000. The age-standardised prevalence rate remained stable between 1990 and 2020 (percentage change 0·2% [-1·3 to 1·7]). Globally, females had a higher age-standardised prevalence rate (2890 [2330-3620] per 100 000) than males (2000 [1600-2480] per 100 000), with the prevalence peaking between 45 years and 74 years in male and female sexes. By 2050, the estimated global number of neck pain cases is projected to be 269 million (219-322), with an increase of 32·5% (23·9-42·3) from 2020 to 2050. Decomposition analysis of the projections showed population growth was the primary contributing factor, followed by population ageing. Although age-standardised rates of neck pain have remained stable over the past three decades, by 2050 the projected case numbers are expected to rise. With the highest prevalence in older adults (higher in females than males), a larger effect expected in low-income and middle-income countries, and a rapidly ageing global population, neck pain continues to pose a challenge in terms of disability burden worldwide. For future planning, it is essential we improve our mechanistic understanding of the different causes and risk factors for neck pain and prioritise the consistent collection of global neck pain data and increase the number of countries with data on neck pain. Bill & Melinda Gates Foundation and Global Alliance for Musculoskeletal Health.

Trends by age and sex and projections of disease prevalence from studying hypertensive heart disease in China over the past three decades.

Hypertensive heart disease (HHD) is a common cause of cardiovascular disease and mortality worldwide, and its burden is increasing with aging populations. This study aimed to estimate the prevalence and mortality rates of HHD in mainland China and Taiwan Province using data from the Global Burden of Disease Study 2019 (GBD 2019), and forecast the development trend of HHD from 2020 to 2024. We obtained data on number of cases, deaths, crude prevalence rate, crude death rate, age-standardized prevalence rate (ASPR), and age-standardized death rate (ASDR) for mainland China and Taiwan Province from 1990 to 2019 from the GBD 2019. Joinpoint software was used to estimate average annual percentage change (AAPC) with 95% confidence intervals, and the number of HHD cases in China from 2022 to 2024 was predicted by the exponential smoothing method. Between 1990 and 2019, HHD cases and deaths increased in mainland China, but the ASPR and ASDR decreased by 5.96% and 48.72%, respectively. In Taiwan Province, ASPR and ASDR decreased by 7.66% and 52.14%, respectively. The number of HHD cases and death rates varied by region, age, and sex, with a higher number of cases in mainland China than in Taiwan Province. By 2024, the number of HHD cases in mainland China was projected to be over 9.6 million cases, and in Taiwan Province, it was projected to surpass 120,000 cases. The differences in HHD cases between mainland China and Taiwan Province in terms of age and sex indicated the need for effective prevention and control measures, especially targeting the elderly population. These findings can inform policymakers and health professionals in the development of targeted prevention and treatment strategies and resource allocation for HHD in China.

Colorectal cancer and its attributable risk factors in East Asia, 1990-2030.

The disease burden of colorectal cancer in East Asia has been at a high level. However, the epidemiological characteristics of the disease burden in this region have not been systematically studied. Data were obtained from the Global Burden of Disease 2019 program. Joinpoint analysis was used to identify long-term trends in mortality of colorectal cancer. Independent effects of age, period, and cohort were detected by the age-period-cohort model. The Bayesian age-period-cohort model was performed to predict the burden of colorectal cancer across East Asia by 2030. From 1990 to 2019, the average annual percentage change (AAPC) showed upward trends in mainland China (1.05 [95% confidence interval (CI)], 0.82, 1.28) as well as Taiwan Province of China (1.81 [95% CI], 1.51, 2.10) but downward in Japan (-0.60 [95% CI], -0.70, -0.49) (P<0.05). Attributable risk factors for colorectal cancer in East Asia remained stable over 30years, while the risk of metabolic factors is noteworthy in the future. In the next decade, the age-standardized death rate (ASDR) of colorectal cancer in China was predicted to surpass that of Japan and South Korea in expectation. The mortality of colorectal cancer is escalating in developing countries, while it is gradually declining in high-income countries across East Asia. Nonetheless, the disease burden of colorectal cancer in high-income countries remains substantial level.

Media agenda-setting between mainland China and Taiwan province: A case study of the Russo-Ukrainian war

The Russo-Ukraine war has drawn attention worldwide. Previous studies have revealed how the conflict affected global patterns and international interactions. This article refined the scope of the study by focusing on the agenda-setting and attribute agenda-setting that media in mainland China and Taiwan Province of China set when reporting the Russo-Ukraine war. A total of 471 of the People’s Daily and the Liberty Times’ news were examined by the LDA model to categorize their agendas and key words of the attribute agenda-setting. The study found that both parties set four agendas: diagnose causes, economic consequences, international relationship and remedy. Mainland China additionally added nationalization agenda. The huge differences in attribute agenda-setting between the two sides were a reflection of the divergent political objectives of the two parties in mainland China and Taiwan province. The results suggested that the Russo-Ukrainian war was revealed by a multiparty convergence of media and government agendas, and neither medium paid heed to the public agenda in their reportage.

Research on the Relationship Between Higher Education Development and Economic Growth in China

Education has always been a very important research issue, and China's higher education has developed rapidly along with its economic take-off. The issue of the correlation between education and economic development has also been researched many times in the academic world. So, this paper analyzes the dynamic correlation between the development of higher education and China's economic development, as well as the gross domestic product of the People's Republic of China (excluding Hong Kong Special Administrative Region of China, Macao Special Administrative Region of China, and Taiwan Province of China) for the period 1978-2021, based on the existing literature, through the data on the number of graduates from higher education, general higher education, and postgraduates (master's degree and doctorate). It is finally concluded that economic growth will directly contribute to the development of higher education, and similarly, the growth of higher education will offset economic growth with a slight lag.

Did the 'Early harvest list' of commodity trade under ECFA promote the development of manufacturing industry in Taiwan Province? An empirical analysis based on staggered DID model

This study assesses the impact of the ECFA's Early Harvest List on Taiwan's manufacturing industry. The findings indicate that (1) implementing the "Early Harvest List" positively affects Taiwan Province's overall industrial output value. (2) It also promotes above-average growth in output value for advantaged industries in Taiwan Province. (3) Furthermore, it particularly benefits capital-intensive industries within Taiwan's manufacturing sector. These results demonstrate that the ECFA is a policy that genuinely benefits Taiwanese compatriots.

Discussion on Solutions for Managing Better Industrial Zones with a Case in the North of Vietnam And Recommendation for Environmental Problems

Objective: This paper purpose aims to present discussion on solutions for managing better industrial zones with a case in the north of VIETNAM and recommendation for environmental problems. Method: Authors has uses experiences combined with observations, historical combined with dialectical materialism methods, as well as inductive and synthesis methods. Results: after 30 years of Doi moi period, the nation need to apply and develop suitable Law such as Law 2020 (Environment) to govern environment damages and requires clusters to follow a roadmap. Also, this paper shows the conservation of nature need to be kept with the development of clusters and the pollution of environment. And for managing better industrial zones in the North of Vietnam, we refer to experiences from Taiwan and other provinces in Vietnam such as Experience in building and developing Taiwan's Industrial Parks. Conclusion: According to regulations for industrial clusters we can understand that: first, we need to prevent loss from environment damages; Treatment of wastewater based on Law provisions; and Ensure ratio of green tree based on Law, then, Industrial clusters must have environmental protection infrastructure as prescribed. Last but not least, Then the Law 2020 (Environment) encourage investment according to law, and we need to design 1 person in charge of environment issues in clusters, as well as protecting environment according to relevant law.

A Study of the Impact of the Application of Digital Technology-Integrated Entrepreneurship Education on Entrepreneurship and Entrepreneurial Performance

Under the condition of a perfect digital technology environment, teachers receive richer teaching resources to enhance their teaching ability, improve their teaching quality, and enrich their teaching content. Teachers teaching with computers could enhance students’ learning motivation, reinforce peer cooperation, train students’ autonomy, and enhance students’ subject learning ability. Delivering vivid sounds and pictures through multimedia- assisted teaching could induce students’ learning interests and further promote learning effectiveness. Using an experimental design model for the experimental research, 206 college students in Taiwan Province, as the experimental objects, are preceded by the 16-week (total 48 hours) digital technology-integrated entrepreneurship education experiment. Research findings show the following: 1. Teachers, according to students’ learning satisfaction, check students’ learning effectiveness to ensure teaching quality and timely modify teaching styles to better match students’ learning needs. The benign interaction could largely assist in the improvement of the entire educational environment. 2. The application of digital technology in integrated entrepreneurship education reveals significantly positive effects on entrepreneurship and entrepreneurial performance. According to the results of the proposed discussions, it is expected to acquire more information about entrepreneurship education and its relevance in order to provide entrepreneurship education and the related promotion units and people with practice directions and suggestions for practicable and proper entrepreneurship education in order to effectively implement the ideal and objective of entrepreneurship education.

Butyrolactones and acid esters from plant rhizosphere soil-derived Aspergillus sp. TW01-p-15

The fungus Aspergillus sp. TW01-p-15 was isolated from rhizosphere soil of Pteris cretica L. var. nervosa in Xitoushan, Taiwan Province of China. From the ethyl acetate extract of the fungus, five new compounds including two new butyrolactones named 2-carbonic acid-ester- butyrolactone V (1), versicolactone H (2), one new butyrolactone derivative 2-hydroxy-1,3-bis(4-hydroxyphenyl) propan-1-one (3), two new acid esters named (Z)-6-methoxy-3-methyl-6-oxohex-2-enoic acid (4) and (E)-6-methoxy-3-methyl-6-oxohex-2-enoic acid (5), together with nine known compounds were isolated. Their structures were elucidated by diverse spectroscopic analysis including high-resolution ESI-MS, one- and two-dimensional NMR spectroscopy and time-dependent density functional theory electronic circular dichroism (TDDFT ECD) calculations. In the in vitro activity experiment, compounds 3 and 13 showed significant activity against Pseudomonas aeruginosa. This result was further supported by molecular docking.

Spatio-temporal variation in quartz luminescence sensitivity in the coastal area of China

Quartz luminescence signals have been proven to be an effective index for identifying sediment provenance. The provenance of quartz minerals on typical sandy coasts along the east coast of China serves as important evidence for estuarine and coastal aeolian geomorphological processes in coastal zones. However, the temporal and spatial differences in the sensitivity characteristics of quartz grains on the east coast of China remain controversial owing to a lack of systematic analyses of coastal sediments. In this study, we present the thermoluminescence (TL) and optical luminescence (OSL) sensitivity of quartz minerals from core FN1 in the coastal area of Fujian Province, and the relative OSL sensitivity of quartz minerals obtained from Hebei, Fujian, Hainan, and Taiwan provinces. Our results indicate that (1) the OSL sensitivity values of quartz grains in the FN1 core are closely correlated with the mean grain size, electrical conductivity, potential of hydrogen, and end-member, suggesting that the change in luminescence sensitivity may be closely related to climate changes; specifically, cold climatic events during this period can cause significant fluctuations in the sensitivity; further, the percentage contents of fast, medium, and slow components are also different; (2) spatially, there are clear differences between the %FAST value of quartz grains from different sandy coasts; in these coastal dune samples, the %FAST value of the quartz grains during the Last Glacial Maximum (LGM) was significantly different from that of the quartz grains during the interglacial; thus, %FAST can be used to distinguish between glacial and interglacial samples; specifically, the sensitivity of quartz from the glacial dune was higher than that from the interglacial dune, and the sensitivity dispersion of quartz from the glacial as smaller than that from the interglacial coastal dune sand; and (3) the change in the luminescence sensitivity of quartz grains was ultimately controlled by the provenance change. In different geological periods, transgression, regression, and abrupt climate change trigger changes in the supply range of sources, which indirectly affects the sensitivity characteristics of quartz minerals. The spatial difference in quartz sensitivity in the eastern coastal area of China is mainly affected by the characteristics of quartz crystals and types of bedrock, which require further systematic study.