Fast Development Research Articles

Interactions between migration and immunity among oriental armyworm populations infected with the insect pathogenic fungus, Beauveria bassiana.

Migration and immunity are behavioral and physiological traits that protect organisms from environmental stressors or pathogen infection. Shifting from migration to residency has become more common in some wildlife populations owing to environmental changes. However, other biological shifts, such as interactions between migration and immunity among populations within a species are largely unexplored for many agricultural migratory pests. In the field, entomopathogenic fungi infection and transmission, particularly Beauveria bassiana, can cause reduced fitness and population declines across a broad range of insect species. Here, we investigated migration-immunity interactions between migrant and resident populations of the oriental armyworm, Mythimna separata, infected with B. bassiana (the sole fungus used in this work). We found that migratory M. separata exerted stronger pathogen resistance, faster development and lower pupal weight than residents. High-dose infections (5.0 × 105 and 5.0 × 106 conidia mL-1) led to seriously decreased reproductive capacity in migrants and residents. Low-dose infections (1.0 × 104 and 5.0 × 104 conidia mL-1) led to significantly increased host flight capacities. Consecutive flight tests showed that five flight nights inhibited the reproduction of paternal infected M. separata populations. The flights also led to far-reaching transgenerational impairment of larval development and immune defense among offspring populations. By contrast, two flight nights enhanced the reproductive capacities of both M. separata populations and did not exert negative transgenerational effects on offspring populations, which may facilitate migration. This study provides insights into interactions between migration and immunity among M. separata populations. These insights will guide development of future monitoring and management technologies of this pest. © 2024 Society of Chemical Industry.

Abstract C008: New insights from a novel mouse model of synovial sarcoma

Abstract Mouse models are the basis of preclinical and translational research in solid tumors. Multiple methods exist to induce tumor formation in mice, including genetically engineered mouse models, chemotoxic agents, injection of tumor cells, and xenograft approaches. Synovial sarcoma, a rare highly malignant soft-tissue tumor, poses a serious threat to patients due to its aggressive nature and associated high rates of mortality and morbidity. This disease's underlying cause and development remain poorly comprehended, and existing treatment approaches have yielded unsatisfactory outcomes. In the last two decades, numerous effective animal models of soft tissue sarcoma (STS) have been created, primarily utilizing genetically engineered mice and zebrafish, however long latency of tumor development for several months in these models creates a barrier for practical in-vivo experiments for drug testing or manipulating the cellular composition of the tumor microenvironment. In studying cancer immunotherapy, it is important to consider aspects of antitumor immune responses and to produce a model that mimics the complexity of the immune system We have generated a new mouse model of synovial sarcoma of exceptionally fast tumor development. Intramuscular delivery of Cre recombinase protein in mice which drives conditional knockdown in PTEN, stabilization of β-catenin, and formation of fusion oncogenes of SS18-SSX2 was sufficient to initiate high-grade synovial sarcomas with myofibroblastic differentiation in 3 weeks. As immunotherapy is increasingly applied to sarcomas, our mouse model will serve as a great tool for preclinical data. Flow cytometry-based analysis of peripheral blood shows significant changes in immune cell populations as early as five days after Tat-Cre injection and continues throughout the development of synovial sarcoma. These results suggest a significant systemic phenotypic alteration of circulating immune cells, which may impact other major organs in this genetic mouse model of synovial sarcoma. Single- cell RNA sequencing of the CD45+ leukocytes in the tumor microenvironment reveals subsets that may promote tumor progression. Our work promises to significantly enhance our understanding of the pathogenesis of this disease and establish a reliable preclinical platform for devising and assessing therapeutic interventions. Citation Format: Hesham Mohei, Donn Van Deren, Irene S. Molina, Malay Haldar. New insights from a novel mouse model of synovial sarcoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr C008.

Innovative diagnostic technologies: navigating regulatory frameworks through advances, challenges, and future prospects.

Diagnostic tools are key to guiding patient management and informing public health policies to control infectious diseases. However, many diseases still do not have effective diagnostics and much of the global population faces restricted access to reliable, affordable testing. This limitation underscores the urgent need for innovation to enhance diagnostic availability and effectiveness. Developing diagnostics presents distinct challenges, especially for innovators and regulators. Unlike medicines, regulatory pathways for diagnostics are often less defined and more complex due to their diverse risk profiles and wide range of products. These challenges are amplified in low-income and middle-income countries, which often do not have regulatory frameworks for this specific purpose. In the UK, initiatives aim to support innovation by providing clearer regulatory pathways and ensuring that diagnostics are safe and effective. Regulators are also collaborating internationally to expedite diagnostics for high-need regions. Harmonised standards, regulatory frameworks, and approval processes are essential to ensure consistent quality and safety across regions and facilitate faster development and global access. This Series paper explores the regulatory challenges in infectious disease and antimicrobial resistance diagnostics, focusing on the UK's response and the broader global efforts to address these issues.

Nest secondary plants and their associations with haemosporidian blood parasites in blue tit females.

Avian nests often contain aromatic plant fragments, which has led to propose among others that they repel ectoparasites or vectors of blood parasites (‘nest protection hypothesis’). To date, the relationship between secondary plant provisioning and the parent's blood parasites remains unexplored. We investigated whether the presence of secondary plants in nests during different reproductive stages (before incubation, during incubation and nestling period) was associated with the presence of nest-dwelling ectoparasites and females’ blood-parasite infections in blue tits (Cyanistes caeruleus) during chick rearing. In this species, females are highly exposed to parasites, particularly at the beginning of the breeding season, since they build the nest and incubate alone. They also brood the nestlings while the male assists with provisioning. We found that females that provided fewer plants before incubation were more likely to be infected by Plasmodium. Specifically, Females that did not provide Achillea herbs before incubation were more likely to be infected by both Plasmodium and Haemoproteus, reinforcing the ‘nest protection’ hypothesis. Thus, secondary plants may create an early environment that masks the odour of hosts or repels vectors. Surprisingly, the presence of Lavandula during the nestling period was positively related to Leucocytozoon infection. Given its fastest development among haemosporidians, we speculate that Lavandula herbs are provided by females to reduce mother-to-offspring transmission or as a self-medication strategy. Finally, the number of plant fragments provided before incubation was negatively associated with the number of (Protocalliphora azurea) larvae, whereas there were no associations with the presence of mites (Dermanyssus gallinoides).

Geometric and Flow Characterization of Additively Manufactured Turbine Blades With Drilled Film Cooling Holes

Abstract As designers investigate new cooling technologies to advance future gas turbine engines, manufacturing methods that are fast and accurate are needed. Additive manufacturing facilitates the rapid prototyping of parts at a cost lower than conventional casting but is challenged in accurately reproducing small features such as turbulators, pin fins, and film cooling holes. This study explores the potential application of additive manufacturing and advanced hole drill methods as tools to investigate cooling technologies for future turbine blade designs. Data from computed tomography scans are used to nondestructively evaluate each of the cooling features in the blade. The resulting flow performance of these parts is further related to the manufacturing through benchtop flow testing. Results show that while total blade flow is consistent for all additively manufactured cooled blades, flow through smaller regions of the blades shows variations. Shaped film cooling holes manufactured using a high-speed electrical discharge machining method are within tolerance in the metering section but do not expand at the specified angle in the diffuser even though design tolerances are met. In contrast to high-speed EDM, conventional EDM holes are undersized throughout the length of the hole. Due to the additive manufacturing process, the surface roughness was higher on the additively manufactured parts in the current study than has been previously reported for surface roughness of commonly used cast components. The roughness results show high levels on thin walls, particularly at the trailing edge as well as on downskin surfaces. Internal surface roughness is higher than external roughness at most locations on the blade. The results of this study confirm that additive manufacturing along with advanced hole drilling techniques offers faster development of blade cooling designs.

River stabilization reshaped human-nature interactions in the Lower Yellow River Floodplain

Floodplains are crucial agricultural and populated areas worldwide. Rivers typically shape human activities within floodplains through water supply and flood risk, forming unique human-nature interaction patterns. Given that river systems have undergone significant transformations globally, understanding the response of these interactions to hydrological changes is elementary. Here, using the Lower Yellow River Floodplain (LYRF) as a case, where continuous levees distinctly outline the river-influenced floodplain from a homogenous cultivated plain and the river's hydrology has undergone dramatic alterations since the 1990s, we analyzed how the human-nature interactions respond to river hydrological changes. This study found that the flood-prone nature of the Lower Yellow River has weakened from 1986 to 2021 as shown by decreased surface water extent and inundated extent of cropland. The intensity of agriculture inside the LYRF has been lower but experienced faster development than outside, minimizing the disparity between them. Meanwhile, human activities in the floodplain have moved closer to the river. These changes in human-nature interactions in the LYRF can be explained by the river stabilization caused by upstream regulation, underscoring the significance of integrated river governance in managing human-nature system in floodplain areas.

Assessing the Environmental Impact of Green Finance, Tourism, and Globalization in Pakistan

The fast development of technology in the last several decades has created new problems for the environment. The current study evaluates how green finance, tourism, globalization, and GDP affect environmental sustainability in Pakistan during 1989 to 2022. This study utilized ARDL approach to probe the long run tie between studied variables. The empirical evidence of this study revealed that tourism, GDP and globalization deteriorate the environmental sustainability, yet green finance mitigate CO2 emissions. Policy suggestions are provided to regulate the environmental laws to control the adverse impact of globalization and tourism and to transit the economy towards green economy. The policymakers should encourage the green technology for sustainable environment.

Advancement of Artificial Intelligence in Drug Discovery: A Comprehensive Review

Abstract: The traditional drug discovery process is notoriously time-consuming, expensive, and damaged, with high failure rates. However, the recent surge in Artificial Intelligence (AI) has presented itself as a game-changer in this field. This comprehensive review delves into the profound impact of AI on various aspects of drug discovery, encompassing crucial stages like target identification, molecular analysis, compound screening, and even drug development. Machine learning algorithms are pivotal in analyzing vast datasets to predict important aspects of potential drug candidates. These predictions include their pharmacokinetic properties (how the body absorbs and eliminates them) and possible toxicity, effectively streamlining the process and reducing risks associated with further development. Additionally, AI facilitates the exploration of vast chemical spaces, enabling the design and synthesis of novel drug candidates with enhanced efficacy and specificity. The review highlights AI's transformative potential in drug discovery and acknowledges the existing challenges. Concerns surrounding data quality, interpretability of AI models, and ethical considerations are addressed, paving the way for responsible development and integration of AI within the pharmaceutical industry. Ultimately, this review underscores AI's massive potential in revolutionizing drug discovery, offering a path towards faster development of life-saving treatments and fostering healthcare advancements.

Study on optimization of maize irrigation scheduling in Shaanxi Province

With the impact of climate change in recent years, the instability of precipitation and the increase of evaporation have made water resources in Shaanxi Province more and more stressed. How to maintain stable economic development while ensuring the sustainable development of agriculture within the limited water resources has become an important issue facing Shaanxi Province. This paper analyzes the temporal and spatial distribution characteristics of maize irrigation water requirement in Shaanxi Province based on meteorological data and obtains the ideal irrigation water requirement. However, considering the agricultural water scarcity issue in this region, this paper establishes different water scarcity scenarios, adopts the Jensen model to construct an objective function aimed at minimizing crop yield reduction, and solves it using a genetic algorithm to obtain the optimized maize irrigation scheduling under different water scarcity scenarios. The results analysis indicates the following: (1) The effective rainfall in Shaanxi Province from 1960 to 2019 shows a slight upward trend, while the maize water requirement and maize irrigation water requirement shows a downward trend. (2) The spatial distribution of maize irrigation water requirement in Shaanxi Province decreases gradually from north to south. High-value areas are mainly distributed in the northern regions of Yulin City and Yan’an City in Shanbei. Low-value areas are distributed in Ankang City in Shannan. (3) In the face of water scarcity, spring maize should ensure water use during the middle growth period, fast development period, and initial growth periods. Under the same water scarcity conditions, the yield reduction rate is the highest in Guanzhong, followed by the Shannan, and the lowest in Shanbei. This paper aims to provide a scientific and reasonable optimization plan for maize irrigation in Shaanxi Province by calculating and analyzing the maize irrigation water requirement in Shaanxi Province, combined with optimization tools such as genetic algorithms, to address the challenges brought by water resource constraints.

The Adaptability of Beet Webworm (Loxostege sticticalis) to Soybeans and Other Different Host Plants

The beet webworm Loxostege sticticalis has caused significant economic losses to the production of agriculture and animal husbandry in China. Preference testing of larva feeding and adult oviposition and flight capability tests were carried out on five host plants: soybean, pigweed, pea, broad bean, and alfalfa. An experimental population life table and population growth trends over the subsequent 200 days were constructed. The test results show that the larvae showed no significant preference among different plants. However, adults lay more eggs on soybeans. The pests failed to complete a generation when fed on broad beans and alfalfas. When fed on pigweed, they showed the shortest larvae development period, the heaviest pupal weight, the longest adult longevity, and the largest egg-laying amount. The net reproductive rate (R0), intrinsic rate of increase (r), finite rate of increase (λ), and simulated population growth trend of the pests fed on pigweed show the highest values, and those fed on peas showed the lowest values. The total flight distance and flight time of adults fed on pigweed and soybeans were significantly greater compared to those fed on peas. In summary, beet webworms fed on pigweed showed the fastest development and reproduction, the largest population, and the strongest flight capability.

IVF with frozen-thawed sperm after prolonged capacitation yields comparable results to ICSI in horses: A morphokinetics study

Intracytoplasmic sperm injection (ICSI) is the current clinical practice for the in vitro production of equine embryos. The use of conventional fertilization methods such as in vitro fertilization (IVF), has historically been associated with poor success in horses. However, recent improvements have led to better outcomes with IVF, though only when using fresh semen, which limits its use in clinical practice. IVF remains in its infancy in equine reproduction, and several unknowns remain about the technique. One significant gap in knowledge concerns the morphokinetics of IVF embryos and how they differ from their ICSI counterparts. To address this, we performed IVF using frozen-thawed sperm from five different stallions following sperm selection and a prolonged capacitation period of 10 h, on a total of 109 oocytes. We then analyzed the cleavage rate (cleaved/initial oocytes), blastocyst rate (blastocyst/initial zygotes), and blastocyst development (blastocyst/cleaved zygotes) of the IVF cycles, and compared them with those of the clinical ICSI cycles during the same period. We also evaluated time-lapse images of the developed embryos to assess developmental time points such as time to morula compaction and blastocyst expansion, as well as morula and blastocyst sizes. Overall, developmental rates were not different between IVF and ICSI cycles (blastocyst rate 41.1 % IVF and 41.8 % ICSI, p > 0.05). However, development proceeded faster in IVF cycles (blastocyst expansion IVF 155.5 ± 18.5 h; ICSI 167.2 ± 19.6 h; p < 0.05) and IVF embryos were also larger (blastocyst area IVF 22608 ± 2857 μm2; ICSI 20806 ± 1505 μm2; p < 0.05). The faster development and larger size might suggest a more advanced developmental stage. The implications of these findings need to be further evaluated to assess their association with pregnancy potential. The successful developmental rates achieved in IVF cycles demonstrate the potential of this technique for clinical application, although the amount of frozen-thawed semen required is significantly higher in IVF than in ICSI, which is an important consideration for mare and stallion owners. Nonetheless, the use of frozen-thawed semen in equine IVF, coupled with comparable blastocyst rate, presents promising potential for broader clinical adoption of the IVF technique.

Emotional and behavioral problems are associated with hypothalamic development from childhood to adolescence: Findings from a longitudinal cohort study

BackgroundDespite the pivotal role of the hypothalamus in regulating various physiological processes, our understanding of its developmental trajectory and subregional organization during childhood and adolescence remains limited, as well as how emotional and behavioral problems can impact hypothalamic development, potentially leading to neurodevelopmental disorders. MethodsThis population-based longitudinal cohort study utilized data from a representative sample of 702 children, who were followed two to five times. Emotional and behavioral problems were assessed using the Strengths and Difficulties Questionnaire (SDQ). Linear mixed models were employed to delineate developmental trajectories and behavioral regulation. ResultsUsing an automated segmentation technique, we quantified the volumes and asymmetries of the hypothalamus and its subregions in a large longitudinal sample of 702 subjects aged 6–15 years with 1371 MRI scans, and mapped their developmental trajectories. Our findings indicate that while the anterior and posterior regions of the hypothalamus exhibit a tendency toward decline, the tubular region demonstrates a linear increase which is influenced by lateralization, sex, and intracranial volume. Furthermore, emotional and behavioral problems - particularly emotional symptoms and peer relationship problems - are related to faster development in superior tubular and anterior-superior regions. ConclusionsIn this study, we initially delineated the developmental trajectories of the hypothalamus and its subregions from childhood to adolescence based on a longitudinal cohort study. Our findings revealed that the development of hypothalamus followed the pattern of “lateral early to medial late, and dorsomedial early to ventromedial late”, and the emotional and behavioral problems are associated with faster hypothalamic development. This study provides preliminary evidence regarding the impact of emotional and behavioral problems on the dynamic development of the hypothalamus, offering a crucial foundation for future prevention and intervention strategies targeting cognitive and emotional behavioral problems.

Design studies on electronics and data acquisition of a real time diamond spectrometer for the SPARC neutron camera.

The design of a compact 2 × 2 diamond matrix with independent and redundant pixels optimized for the spectrometric neutron camera of the SPARC tokamak is presented in this article. Such a matrix overcomes the constraints in dynamic range posed by the size of a single diamond sensor while keeping the ability to perform energy spectral analysis, marking a significant advancement in tokamak neutron diagnostics. A charge pre-amplifier based on radio frequency amplifiers based on InGaP technology transistors, offering up to 2GHz bandwidth with high robustness against radiation, has been developed. A first single-channel device has been tested and proven to provide a fast signal development time of 20-25ns, necessary to mitigate pileup effects while offering precise energy measurements. As the diamond sensors may suffer from polarization effects due to the trapping of charges at the diamond/metal interface, a periodical bias inversion can guarantee optimal performance. To facilitate that, a reversible high voltage power supply has been developed. The ongoing development of data acquisition equipment and real-time processing algorithms based on programmable gate arrays further enhances the neutron camera's capabilities.

Analyte and probe melting temperature guided method development strategy for hybridization LC-MS/MS quantification of siRNAs

Small interfering RNA (siRNA) is a novel class of double-stranded oligonucleotide therapeutics rapidly growing in drug research and development. Accurate, sensitive, and reliable quantification of siRNA analytes in biological samples is required to study their pharmacokinetics, toxicokinetics, and biodistribution. Hybridization LC-MS/MS can achieve highly sensitive and specific bioanalysis of single-stranded oligonucleotides, e.g., antisense oligonucleotides (ASOs); however, its application for bioanalysis of siRNA or other double-stranded oligonucleotides is limited. The detailed rationale and principles for assay development are still not well understood. In this work, we systematically evaluated key steps and parameters of hybridization LC-MS/MS assays, including probes (five different types compared), hybridization procedure and temperature, elution temperature, and column temperature using patisiran, an approved siRNA drug, as the test siRNA. Based on the evaluation, a practical and efficient melting temperature (Tm) guided strategy was developed for fast and reliable method development of hybridization LC-MS/MS assays for siRNA bioanalysis. The strategy was successfully applied to siRNA-A, a test siRNA, in mouse plasma over the range of 1.00–1000 ng/mL and the resulting method has been used to support multiple mouse studies. This method-development strategy showed great value as a general approach for other siRNAs or double-stranded oligonucleotides.

Sex-dependent differences in hematopoietic stem cell aging and leukemogenic potential.

Sex influences many biological outcomes, but how sex affects hematopoietic stem cell (HSC) aging and hematological disorders is poorly understood. The widespread use of young animal models to study age-related diseases further complicates these matters. Using aged and long-lived BALB/c mouse models, we discovered that aging mice exhibit sex-dependent disparities, mirroring aging humans, in developing myeloid skewing, anemia, and leukemia. These disparities are underlined by sex-differentiated HSC aging characteristics across the population, single-cell, and molecular levels. The HSC population expanded significantly with aging and longevity in males, but this occurred to a much lesser degree in aging females that instead expanded committed progenitors. Aging male HSCs are more susceptible to BCR-ABL1 transformation with faster development of chronic myeloid leukemia (CML) than female HSCs. Additionally, the loss of the aging regulator Sirt1 inhibited CML development in aging male but not female mice. Our results showed for the first time that sex-differentiated HSC aging impacts hematopoiesis, leukemogenesis, and certain gene functions. This discovery provides insights into understanding age-dependent hematological diseases and sex-targeted strategies for the treatment and prevention of certain blood disorders and cancer.

Leveraging the Hardware Resources to Accelerate cryo-EM Reconstruction of RELION on the New Sunway Supercomputer

The fast development of biomolecular structure determination has enabled the fine-grained study of objects in the micro-world, such as proteins and RNAs. The world is benefited. However, as the computational algorithms are constantly developed, the enrichment of features increases the algorithmic complexity and brings more computationally unfriendly modules. It calls for efficient solutions to leverage the rich and various hardware resources from the world’s most state-of-the-art supercomputing systems, and to fully accelerate the performance of the applications. In this paper, we present our efforts on porting and optimizing the 3D reconstruction of RELION, one of the most popular cryo-EM software for biomolecular structure determinations, by leveraging different resources of the latest generation of Sunway heterogeneous supercomputer. Several novel approaches are proposed to resolve different challenges faced by the complex algorithm, including a multi-level parallel scheme and operator optimizations to smartly map and scale RELION, efficient strategies to largely address the memory bottlenecks and improve data locality, lock-free writing solutions to minimize write-write conflicts, and pipelining approaches to obtain excellent computation and communication overlap. Combining all proposed optimizations, the computation time is greatly reduced to under 2 hours, achieving 11.9 × and 8.9 × speedups on two different datasets. The overall design scales to 131,072 cores, increasing parallel efficiency from 33% to 61% and from 46% to 70%, respectively. To the best of our knowledge, this is the first work that fully optimized and scaled the 3D reconstruction of RELION using the latest Sunway system.

Integrating AI in testing automation: Enhancing test coverage and predictive analysis for improved software quality

This research explores the integration of Artificial Intelligence (AI) in testing automation, focusing on its ability to enhance test coverage and enable predictive analysis for improved software quality. As software systems become increasingly complex, traditional testing methods often struggle to meet quality demands. This study evaluates various AI techniques, including machine learning and natural language processing, and their applications in generating test cases, optimizing testing processes, and predicting defects. Through empirical case studies from diverse organizations, we demonstrate significant improvements in test coverage and defect detection rates following AI implementation. The findings highlight the efficiency gains and quality enhancements achieved through AI-driven testing, while also addressing challenges such as data dependency, complexity of implementation, and the need for skilled personnel. This research contributes to the understanding of AI's role in software testing and encourages organizations to adopt these technologies for better quality assurance and faster development cycles.

Radiative Feedback From Dry Environmental Air Accelerates Tropical Cyclogenesis

AbstractA number of recent studies have highlighted how radiative feedback from clouds accelerates tropical cyclone (TC) development by amplifying spatial gradients in radiative heating. This study extends this work by examining how spatial gradients in free tropospheric moisture influence TC development through their impact on environmental radiative heating. We conduct a series of idealized model experiments in which only the longwave radiative heating due to water vapor is modified in the environmental region outside of the TC area. These experiments demonstrate that a vortex in a drier environmental free troposphere experiences faster development. Moreover, weaker vortices actually require a dry environmental free troposphere to develop. The accelerated genesis mainly results from a stronger spatial gradient in moisture‐induced radiative heating, which enhances energy convergence through a stronger transverse circulation. These results highlight a potentially important and overlooked role of dry air in facilitating TC genesis.

AC thin-film electroluminescence: A historical overview with a look ahead

50 years ago, television screens used bulky cathode ray tubes (CRTs) with a size limited to about 70 cm in diagonal (28 in.), while flat panel displays belonged to the realm of science fiction. Although the performance of CRTs in terms of energy consumption, size, and color rendering slowly improved, there were numerous applications where flat panel displays would present a tremendous advantage, notably for confined spaces and in portable equipment. Starting from the 1970s, AC thin-film electroluminescence (ACTFEL) was investigated as a high performance alternative to the—also emerging—liquid crystal displays (LCDs) and plasma display panels (PDPs). For a number of years, ACTFEL developed from the phase of fundamental research to commercial products (for monochrome displays) and full color prototype displays. However, due to the fast development and strong cost reduction of LCDs, ACTFEL did not remain competitive and most of the research activities were ceased. The current overview sketches a brief history of the ACTFEL technology, its merits and limitations, and the reasons why such displays still have their use in some niche applications.

A Comparative Study on Music Curriculum Design in Universities based on AR technology: A Survey of 10 Undergraduate Colleges in Nanjing

Purpose: During the past few decades, there has been a huge increase in the usage of technological devices like mobile phones, which are now an indispensable part of our everyday lives. AR-based applications for smartphones and tablets have proven to be a game-changer in a number of fields, most notably education. Currently, Nanjing's college music programmes are undergoing a fast development. Universities are currently experiencing innovation and a reform of their teaching methods in the field of music education. Improving music education in higher education institutions has emerged as a crucial concern for the music Students in Nanjing's undergraduate institutions. Method: An analysis of how AR technology has affected the evolution of music curricula in undergraduate institutions in Nanjing through comparisons. Pre- and post-tests were used to evaluate the cultural understanding and motivation for the study of music of both groups. An Overview of Ten Nanjing Bachelor Colleges. Through the use of augmented reality technology, the experimental team introduced undergraduates’ students to a range of cultural contexts, practices, and norms. Results: The results show that as compared to the control group, the experimental group, which received AR-based training, had noticeably greater levels of intercultural competency and motivation for music learning. Conclusion: Quantitative data analysis revealed that AR-based training increased undergrad participants' involvement, motivation, and understanding of culture. This study provides insights into prospective patterns and paths that AR technology could take in learning, giving readers a preview of future advances. This comprehensive viewpoint provides teachers, scholars, and professionals with significant insights into the instructional implications, technological characteristics, and practical issues of AR. Increasing the development of music education in institutions of higher learning can play an obvious role in helping to grow the influence.