bluuebunny/crossref_metadata_2025 huggingface dataset:
TECHNOLOGY ADOPTION, SELF-EFFICACY AND ENTREPRENEURIAL BUSINESS SUCCESS
Authors: Ariffien Mohd Arpi , Zakaria Maheran , Syed Yusuf Sharifah Norzehan , Ahmad Junaidah Hanim
Published: March 2024

Background and Purpose: The success and demise of a business venture continuously fascinates the attention of many. Specifically, when it relates to micro-entrepreneurs as they are very vulnerable to business failures. Despite many struggles, there are few who succeed. Intrigued with this scenario, the researchers aim to look for factors that lead to the success of micro-entrepreneurs in their business ventures. Following the Social Cognitive Theory and earlier research, the present study predicts that technology adoption and self-efficacy will influence entrepreneurial business success. Additionally, this study posits that self-efficacy mediates the relationship between technology adoption and entrepreneurial business success.
 
Methodology: The research employed a survey technique using a quantifiable method. The researchers distributed 350 questionnaires to low-income micro-entrepreneurs in Kelantan, Malaysia. Two hundred forty-five people responded, but only 240 data proceeded for further analysis. The research used SPSS and AMOS version 26 to analyse the data gathered.
Findings: Results indicated that both variables, namely entrepreneurial self-efficacy and technology adoption, significantly influenced business success. Additionally, the results indicated that entrepreneurial self-efficacy significantly mediated the relationship between technology adoption and entrepreneurial business success.
 
Contributions: The discoveries provide valuable insights to policy makers, poverty agencies, micro-entrepreneurs and the likes in formulating strategies and intervention programs for entrepreneurial success. Indeed, successful entrepreneurs are crucial in elevating the social status of the poor and eradicating national poverty. In addition, it realises the Sustainable Development Goals’ agendas that all states in Malaysia are free from poverty by 2030.
 
Keywords: Business success factors, micro entrepreneurs, self-efficacy, technology adoption.
 
Cite as: Ariffien, M. A., Zakaria, M., Syed Yusuf, S. N., & Ahmad, J. H. (2023). Technology adoption, self-efficacy and entrepreneurial business success. Journal of Nusantara Studies, 8(TI), 257-276. http://dx.doi.org/10.24200/jonus.vol8issTIpp257-276
STRENGTHENING ACCOUNTABILITY AND GOVERNANCE OF CROWDFUNDING: ENHANCING FUNDING OF HIGHER EDUCATIONAL INSTITUTIONS
Authors: Hoque Muhammad Nazmul , Mohamed Norhayati , Azad Md. Abul Kalam , Nuruzzaman AFM , Mat Yusop Zaid Bin
Published: March 2024

Background and Purpose: The reduction in government funding requires public universities to seek different forms of funding for their activities, and crowdfunding has become an essential enhancement to public university funding sources. This research aims to evaluate the strength of accountability and governance of crowdfunding for public universities
 
Methodology: The study has adopted factual data based on relevant literature reviews and documents on crowdfunding.
 
Findings: This study explored the aspects that will strengthen the accountability and governance framework of crowdfunding, especially for public universities. To increase public confidence in crowdfunding, it must be well-governed with strict criteria to ensure proper accountability and transparency to reduce the possibility of corruption and prevent fraud. From the strengthening of the crowdfunding mechanism, it can be concluded that the governance system developed will include methodologies and standards for evaluating the sources of funds, protecting the donors, evaluating projects qualified for funding, and reinvestment of contributions, where applicable
 
Contributions: The significance of this study is that it makes a new contribution by investigating perspectives on improving accountability and governance of crowdfunding. Moreover, the current study suggests that Malaysia may determine the level of adaptation of crowdfunding mechanisms and the sustainability of crowdfunding as an alternative platform to fund Malaysian public universities in the future.
 
Keywords: Crowdfunding, governance, accountability, transference, higher education.
 
Cite as: Hoque, M. N., Mohamed, N., Azad, A. K., Nuruzzaman, A. F. M., & Zaid, B. M. Y. (2023). Strengthening accountability and governance of crowdfunding: Enhancing funding of higher educational institutions.  Journal of Nusantara Studies, 8(TI), 300-321. http://dx.doi.org/10.24200/jonus.vol8issTIpp300-321
EASE AND USEFULNESS OF ZAKAT E-PAYMENT: THE MEDIATING ROLE OF ATTITUDE TOWARDS INTENTION
Authors: Hamzah Muhammad Zilal , Rahim Hainnuraqma , Abdul Rasool Mohamed Saladin , Abdul Khir Mohamed Fairooz , Zakaria Nor Balkish
Published: March 2024

Background and Purpose: Online payment is an important method of transaction widely practiced across the globe. Due to its flexibility and convenience, it has been a popular method of payments in recent times especially in important religious matters such as zakat, one of the pillars of Islam. Since it is an important religious obligation, the relevant authorities need to identify factors that would facilitate the payment of zakat from the perspective of zakat payers, especially in difficult times of the 2020-2021 pandemic situation. Thus, the aim of this paper is to identify factors that influence the intention of using electronic payment (e-payment) platforms to pay zakat. In addition, the mediating role of attitude will also be analysed in examining the relationships between perceived usefulness and perceived ease of use to zakat payment intention.
 
Methodology: The present study employed a survey method to assemble data pertaining to attitude, perceived usefulness and perceived ease of use as potential factors that determine user’s behavioural intention of e-payment zakat in Malaysia. 193 questionnaires were responded to and analysed via Partial Least Square (PLS) with the Smart-PLS 3.0 software.
 
Findings: Results showed that significant aspects such as perceived ease of use and perceived usefulness have positive bearings on attitude and intention to use zakat e-payment platform.  The study also found that Islamic financial institutions (IFIs) are growing in popularity and the zakat authorities and fin-tech companies are establishing greater synergies tool.
 
Contributions:  The findings put forward that Zakat institutions may need to improvise their e-payment platform to attract zakat payers. Besides, the findings also highlight the behavioural intention of zakat payers in response to technological advancement that the providers and users should acknowledge. Hence, it is expected that the collection of zakat would be increased in the future via e-payment platform.
 
Keywords: Zakat, e-payment, attitude, intention, online payment.
 
Cite as: Hamzah, M. Z., Rahim, H., Abdul Rasool, M. S., Abdul Khir, M. F., & Zakaria, N. B. (2023). Ease and usefulness of zakat e-payment: The mediating role of attitude towards intention. Journal of Nusantara Studies, 8(TI), 408-428. http://dx.doi.org/10.24200/jonus.vol8issTIpp408-428
ENHANCING ORGANISATIONAL ACCOUNTABILITY: THE ROLE OF HUMAN RESOURCE MANAGEMENT IN MALAYSIAN STATUTORY BODIES
Authors: Yahya Nurhidayah , Said Jamaliah , Zakaria Nor Balkish , Baltov Milen
Published: March 2024

Background and Purpose: Using the Social Contract Theory underpinning, this research examines the relationship between human resource management (HRM) and accountability within Malaysian statutory bodies.
 
Methodology: A quantitative approach was employed to gather data from 195 online surveys distributed to CEOs of Malaysian statutory bodies. 186 usable responses were obtained for further analysis. Statistical techniques were applied to assess the relationship between HRM and accountability.
 
Findings: The study’s results reveal a positive and significant relationship between HRM practices and accountability within Malaysian statutory bodies. These findings highlight the critical role of HRM in promoting accountability and ensuring the successful fulfilment of socioeconomic obligations in emerging countries like Malaysia.
 
Contributions: This study contributes to the existing literature by exploring the association between HRM and accountability in Malaysian statutory bodies. Additionally, it incorporates the Social Contract Theory to provide a unique theoretical lens for understanding this relationship.
 
Keywords: Human resource management, accountability, Malaysian statutory bodies, social contract theory.
Cite as: Yahya, N., Said, J., Zakaria, N. B., & Baltov, M. (2023). Enhancing organisational accountability: The role of human resource management in Malaysian statutory bodies.  Journal of Nusantara Studies, 8(TI), 453-479. http://dx.doi.org/10.24200/jonus.vol8issTIpp453-479
Haz historia o sé historia: Lyndon Johnson, Joe Biden y el debate acerca del liderazgo transformacional
Authors: Alesso Nicolas
Published: March 2024

Ante el debate acerca del tipo de liderazgo de Joseph Biden, este trabajo sostiene que la división entre liderazgo transformacional y transaccional, y las correspondientes comparaciones presidenciales, remiten principalmente a la política doméstica. Así, el estudio se enmarca en el enfoque en las relaciones internacionales acerca del liderazgo. Se desarrollan dos líneas de análisis. Primero, se establecerán aproximaciones entre el liderazgo de Lyndon Johnson y Joe Biden principalmente en tres aspectos: experiencia previa, contextos doméstico e internacional en los que asumen, y construcción de liderazgo. Luego, se enfocará en el liderazgo de la presidencia de Joe Biden en los niveles doméstico e internacional en tres asuntos: Build Back Better, la gestión de la pandemia y la estrategia America is back.
La materialidad de la circulación en el mundo atlántico
Authors: Bragagnolo Manuela , Sanmartín Israel , Pereyra Osvaldo Víctor
Published: March 2024

El presente dossier plantea como centro de atención la materialidad de la circulación atlántica a través de componer a los objetos seleccionados al interior del conjunto de conexiones y de relaciones sociohistóricas que configuran su materialidad interaccionada. Desde el punto de vista de la historia conectada dichos conjuntos materiales nos permiten adentrarnos en complejos procesos que forman parte de un mundo atlántico en cambio y transformación durante la Edad Moderna.
Architecture optimization techniques for Convolutional Neural Networks: further experiments and insights
Authors: Sobolewski Artur , Szyc Kamil
Published: March 2024

In this paper, we have researched implementing convolutional neural network (CNN) models for devices with limited resources, such as smartphones and embedded computers. To optimize the number of parameters of these models, we studied various popular methods that would allow them to operate more efficiently. Specifically, our research focused on the ResNet-101 and VGG-19 architectures, which we modified using techniques specific to model optimization. We aimed to determine which approach would work best for particular requirements for a maximum accepted accuracy drop. Our contribution lies in the comprehensive ablation study, which presents the impact of different approaches on the final results, specifically in terms of reducing model parameters, FLOPS, and the potential decline in accuracy. We explored the feasibility of implementing architecture compression methods that can influence the model’s structure. Additionally, we delved into post-training methods, such as pruning and quantization, at various model sparsity levels. This study builds upon our prior research [1] to provide a more comprehensive understanding of the subject matter at hand.
Comparison of openEHR open-source servers
Authors: Kryszyn Jacek , Smolik Waldemar T. , Wanta Damian , Wróblewski Przemysław , Midura Mateusz
Published: March 2024

Medical information systems could benefit from electronic health records management using openEHR. On the other hand, such a standard adds an additional software layer to the system, which might impact performance. In this article, we present an in-depth comparison of open-source openEHR servers and propose tools for testing them. Load tests for selected opensource servers were prepared using Apache JMeter. Statistics of elapsed time of requests and throughput of each solution were calculated. Results show that open-source openEHR servers significantly differ in performance and stability and prove that load testing should be a crucial part of a development process.
Resonant Frequencies of TE0mn modes in multilayered dielectric-ferrite resonators with complex shapes
Authors: Derzakowski Krzysztof
Published: March 2024

The method of evaluating the resonant frequencies of multilayered resonator containing demagnetized ferrites is presented. The detailed solution of Maxwell's equations for such a structure by means of the radial modes matching method for TE0mn modes is given. The results of calculations using developed and launched computer program are given. Results of calculations are compared with those obtained by other method using CST simulator. These results are in close agreement, which proves the correctness of the method. The developed solution, and the software program can be used to measure the initial permeability of ferrites.
An innovative sCMOS based autonomous astronomical camera dedicated to universal use for SST and other fields of optical astronomy
Authors: Zienkiewicz Paweł , Karpińska Katarzyna , Jamroży Mikołaj , Juszczyk Bartłomiej , Pochapskyi Dmytro , Przedpełski Tomasz , Łukasiewicz Jerzy , Czortek Natalia , Brona Grzegorz
Published: March 2024

Creotech Instruments is advancing a game-changing sCMOS camera series. The Final Prototype Model of an astronomical camera for Space Surveillance and Tracking (SST) is in the test campaign phase. Designed for SST, NEO, and debris detection, its adaptable platform suits quantum tech and biological microscopy. Edge computing sets it apart, leveraging FPGA-based SoC for real-time processing and Linux-based pre-processing. Operating autonomously, it supports on-camera ML algorithms, revolutionizing astronomy. Data pre-processing, like frame stacking, reduces data load. This paper introduces the camera's concept, architecture, and prototype test results, emphasizing specific use cases and future product line development.
Ecological risks assessment of fishery commodities from heavy metal in The East Java Province, Indonesia
Authors: Andriyono Sapto , Hidayati Nuning Vita , Fitrani Mirna , Manaf Latifah A. , Habib Ahasan , Dewi Umi U. , Mukadar Saadah
Published: March 2024

Heavy metals are a crucial group of chemicals extensively used in materials to meet human needs, eventually leading to contamination of aquatic ecosystems and accumulation in organism’s tissues. Heavy metals enter the aquatic ecosystem from various sources. Those metals that pollute aquatic waters are deposited in sediments, remain dissolved in water or accumulate in the food web of aquatic organisms. Benthic biota is believed to accumulate the highest levels of these metals, while other aquatic animals, such as fish, shrimp, and macroalgae, serve as significant sources of heavy metals intake through food and the environmental exposure. Ina study conducted in and around the east Java, Indonesia, the concentration of heavy metals in commercially important fish species, shellfish, and macroalgae were evaluated using an inductive couple plasma-mass spectrometer (ICP-MS). This study is very important because fishery resources are not only vital for exports but also serve as a primary source of essential food for local communities. The results showed that heavy metal concentration (Pb, Cd, and Hg) in samples were 12.3 mg∙dm –3, 0.171 mg∙dm –3, and undetectable, respectively. This study showed that different metals were present in the samples at different levels, all of which fell within the maximum residual levels set by the EU and USFDA. The results of an analysis of food safety based on the Hazard Index showed values below 1 point, indicating that fishery products (fish, shrimp, and macroalgae) from the East Java Province are generally safe for human consumption.
Soil sealing changes in selected functional urban areas in Poland in 2012–2018
Authors: Kudas Dawid , Wnęk Agnieszka , Zając Ewelina
Published: March 2024

Soil sealing is a threat to soil and its ecosystem services. One of the main drivers of soil sealing is land degradation resulting from the expansion of urban areas, where it leads to such problems as the growing risk of flooding and local inundations, urban heat islands, or water shortages. The article focuses on analyses and quantification of the general degree of soil sealing in 2012–2018 in eight functional urban areas (FUA) in Poland, taking into account their division into the urban core (UC) and the commuting zone (CZ). We used the high resolution layer imperviousness density (HRL IMD) data to quantify soil sealing as well as data on land cover and land use with different spatial resolutions, i.e. from the European Urban Atlas project (UA) and the National Database of Topographic Objects (BDOT10k) to quantify artificial surfaces. The research determined the spatial differentiation of UCs and CZs in terms of the degree of soil sealing. We further observed higher average growth of sealed land in CZs. Quantitative and spatial analyses determined the spatial patterns of soil sealing in the FUA in Poland. Soil sealing intensified from 2012 to 2018. The process should be expected to continue in the coming years in light of the continuous transformation of vegetated areas into artificial ones. The conclusions should be considered valuable for the implementation of the spatial policy concerning sustainable land use and soil protection in suburban areas.
Effect of yeast and mineral fertilisers on the level attack of the solenopsis mealybug and productivity okra plants
Authors: Bakry Moustafa M.S. , Maharani Yani , Allam R.O.H.
Published: March 2024

Mineral fertilisers are one of the most important nutrients that plants need in large quantities, which help to greatly increase crop yields, and yeast is considered a bio-stimulator of plants. However incorrect implementation of both can make them more susceptible to pest infestations. The mealybug, Phenacoccus solenopsis (Hemiptera: Pseudococcidae), is an economically important polyphagous pest that destroys okra plants in Egypt. This work focused on the evaluation of mealybug infestations and okra plant productivity responses to mineral fertilisers (nitrogen and phosphorus), yeast (without and with) and their interactions. This study was executed in a private okra field (‘Balady’ cultivar) in Luxor Governorate, Egypt, during 2021 and 2022 seasons. A split plot design was applied, where two levels (with and without yeast) were used in the main plots, where seven levels of nitrogen and phosphorus were applied in the split plots. The results indicated that the addition of 286 kg N∙ha –1, 143 kg P∙ha –1 and yeast to okra plants led to a maximum increase in the population densities of pest, and this caused a decrease in the vegetative stage of okra that would affect the final yield as compared to the other treatments throughout the two seasons. However, the application of 190 kg N∙ha –1, 107 kg P∙ha –1, and yeast to okra plants gave the highest values for vegetative growth characteristics and resulting yield during the two studied seasons. This work aids farmers in improving okra production by comprehending good farming practices and avoiding the spread of mealybugs.
Neonikotynoidy i ich substytuty w zrównoważonym zwalczaniu szkodników
Authors: Lipiec Jerzy
Published: March 2024

Raport zawiera szczegółową analizę wyników najnowszych badań dotyczących skutków stosowania neonikotynoidów i ich substytutów oraz narzędzi do ograniczenia lub wyeliminowania w przyszłości pestycydów w zwalczaniu szkodników roślin. Analiza stanowi istotny wkład merytoryczny do szerszej debaty w Komisji i Parlamencie Europejskim i państwach członkowskich na temat ryzyka dla środowiska stwarzanego przez pestycydy. Drastyczny wzrost ładunku toksycznego i ciągły spadek populacji owadów zapylających rośliny w wyniku stosowania pestycydów nowej generacji przemawia za realizacją celu Komisji Europejskiej, zakładającego ograniczenie o 50% stosowania chemicznych pestycydów w Unii Europejskiej do 2030 roku. EASAC popiera działania mające na celu wspieranie integrowanej ochrony roślin (IPM) opartej na metodach biologicznych, a nie chemicznych jako głównego narzędzia w walce ze szkodnikami. Istnieją ograniczenia ekonomiczne i kulturowe stosowania IPM, a ich wyeliminowanie wymaga skoordynowanych działań, począwszy od badań, szkoleń, doradztwa, monitorowania po zachęty i regulacje finansowe. Aktualne wskaźniki zagrożeń związanych z pestycydami powinny uwzględniać szczegółową ocenę działania toksycznego pestycydów, ich pozostałości w środowisku, wpływu na organizmy niebędące przedmiotem zwalczania, zwłaszcza owady zapylające i naturalni wrogowie szkodników, aby zmniejszyć zagrożenia dla zdrowia i różnorodności biologicznej.
K-wire is more damaging than standard or acrylic drill bits when evaluating torsional properties of rabbit (Oryctolagus cuniculi) femurs
Authors: Massie Anna M. , Kapatkin Amy S. , Garcia Tanya C. , Marcellin-Little Denis J. , Guzman David Sanchez-Migallon , Chou Po-Yen , Stover Susan M.
Published: March 2024

OBJECTIVE

The objective of this study is to compare drilling variables and torsional mechanical properties of rabbit femora after bicortical drilling with a 1.5-mm standard surgical drill bit, acrylic drill bit, and K-wire.

SAMPLES

24 pairs of rabbit femora.

METHODS

After drilling under controlled axial displacement rate, each bone was biaxially loaded in compression followed by rapid external torsion to failure. Maximum axial thrust force, maximum drill torque, integral of force and displacement, change in temperature, maximum power spectral density of the torque signal, torque vibration, and torque and angle at the yield and failure points were collected. Pre- and postyield stiffness, yield and failure energies, and postyield energy were calculated.

RESULTS

The work required to drill through the cis- and transcortices (integral of force and displacement) was greater for the K-wire, followed by the acrylic and then standard drill bits, respectively. The K-wire demonstrated higher maximum torque than the drill bits at the ciscortex, and the force of drilling was significantly greater. The vibration data was greater with the acrylic and standard drill bits than the K-wire. There was no difference in torsional strength between drilling types.

CLINICAL RELEVANCE

Mechanical differences exist between different drill bits and K-wire and demonstrate that the K-wire is overall more damaging than the surgical drill bit.
Construction of Interactive Teaching Platform for College Language Courses Based on Speech Recognition Technology
Authors: Lu Xi , Jiang Kai
Published: March 2024

This study constructs an interactive teaching platform based on speech recognition technology for language courses in colleges and universities. The study begins with preprocessing speech signals, including sampling, enhancement, pre-emphasis and other steps. Subsequently, speech features are extracted using Improved Mel Falling Spectral Coefficients (IMFCC), and features are optimized by combining Principal Component Analysis (PCA). In addition, the study uses the Long Short-Term Memory (LSTM) network and Gated Recurrent Unit (GRU) to improve speech recognition’s accuracy and efficiency. The experimental results show that the method in this study achieves an average accuracy of 98% in classroom speech emotion recognition, which is a significant improvement over the traditional ADASYN method. This paper also provides an in-depth study of classroom interaction behavior by comprehensively analyzing the speech recognition results. The study shows that the platform can effectively promote the interaction between teachers and students and improve the quality of teaching. This study provides an efficient interactive tool for language teaching in colleges and universities, which helps to realize a personalized and dynamic teaching process.
A deep learning-based method for evaluating the quality of corporate brand packaging visual design
Authors: Ma Yanfei
Published: March 2024

With the development of deep learning technology, the quality evaluation of enterprise brand packaging visual design becomes more critical. The study first established a brand packaging design product color imagery dataset through color emotionalization, and used systematic clustering technology for imagery selection and evaluation. Subsequently, the brand packaging visual design was optimized based on user demand, combining perceptual engineering and user demand mapping model. Many samples were evaluated by GoogLeNet model, and the data were processed by K-mean clustering and semantic difference method. The results show that the proposed method can effectively distinguish the perceptual imagery of different brand packaging designs, such as traditional, modern, simple, and complex. Specifically, more than 90% of the samples in the experiment achieve high consistency in perceptual imagery evaluation. In addition, the study analyzed the classification effect and quality evaluation of corporate brand packaging visual design, proving the validity and reliability of the method. This study provides a new quality evaluation method for corporate brand packaging graphic design, which helps to improve design efficiency and quality.
A CiteSpace Analysis of Rural Accounting Research in the Perspective of Digital Rural Governance
Authors: Li Xiaohe
Published: March 2024

In digital rural governance, the effective integration of accounting and rural development is crucial for maximizing rural economic benefits. This paper uses CiteSpace software and LDA modeling to examine the current state and hot topics in rural accounting research from 2018 to 2022. The study was visualized by analyzing valid literature and using perplexity to determine the best effect of topic extraction. The results show that the number of annual publications in this field continues to grow, and the number of universities and institutions publishing relevant papers is also increasing yearly. Regarding research hotspots, the keyword “rural” appears most frequently, reaching 122 times, followed by “financial management” with a frequency of 106 times. The keyword with the highest centrality is “rural revitalization”, with a centrality as high as 0.38. The research keywords are mainly divided into rural revitalization and financial management, with the financial management group being the most dominant. However, the number of studies on rural revitalization has been increasing yearly, and the gap between them has been narrowing. The importance of accounting is growing in promoting rural revitalization and improving rural economic efficiency.
Predictive analysis of brain imaging data based on deep learning algorithms
Authors: Wang Xuan , Zhang Xiaotong , Zhang Yuchen
Published: March 2024

This paper analyzes the effectiveness of predictive analysis of brain imaging data based on deep learning algorithms, and improves the prediction accuracy and efficiency of brain imaging data through improved methods. The first step is to measure the local consistency of the brain imaging data using Kendall’s concordance coefficient (KCC), and to analyze the differences between the datasets using the two-sample t-test. Secondly, a batch normalized convolutional neural network (BN-CNN)-based prediction method for brain imaging data has been developed. This method extracts spatial and temporal features in two convolutional layers, followed by a fully connected layer for classification. Experimental results show that this method is helpful in predicting missing structural data in brain imaging. Secondly, a batch normalized convolutional neural network (BN-CNN) based brain imaging data prediction method is developed, which extracts spatial and temporal features in two convolutional layers. Then it connects to a fully connected layer for classification. The experimental results show that this method’s structural similarity index (SSIM) and feature similarity index (FSIM) in brain imaging data prediction of missing data reaches 0.9446 and 0.9465, respectively, which is significantly better than that of other GAN benchmarks. In applying the method to epilepsy and Parkinson’s cases, this algorithm is used to epilepsy and Parkinson’s cases, and a two-sample t-test analyzes the differences in the data sets. In the application of epilepsy and Parkinson’s cases, the algorithm in this paper has an average prediction accuracy of 93.37%, effectively reducing the rate of incorrect predictions. Deep learning algorithms are highly efficient and accurate in predicting brain imaging data, which is crucial for future clinical diagnosis and treatment.
Science, technology and innovation driving urban land use and urban planning development: policy and practice
Authors: Min Jianan , Liu Zicong
Published: March 2024

In an era where science, technology, and innovation are key drivers of urban transformation, this research addresses the critical influences of policy and practice on urban planning and land utilization, proposing efficacious planning strategies to navigate emerging challenges. The study offers a comprehensive examination of urban development trends by integrating methods such as fuzzy set urban planning models, multi-objective planning, fuzzy regression, and GIS-based land use analysis. Specifically, our analysis of Shenzhen’s expansion and agricultural land growth from 1998 to 2023 demonstrates the significant impacts of technological innovation on urban landscapes, notably in expanding built-up regions by 90.21 square kilometers and augmenting greenfield farmland by 17.83%, thereby markedly enhancing land designated for ecological purposes. These findings affirm the vital role of innovation in advancing environmental sustainability and sustainable urban planning practices.
Clinical Study of Shenhong Tongluo Recipe in Treating Carotid Atherosclerosis
Authors: Zhang Linlin , Wei Qian , Wang Meiling , Li Peize , Chen Ying
Published: March 2024

To observe the clinical effect of Shenhong Tongluo Recipe on carotid atherosclerosis. Method: 72 patients were randomly divided into a control group (36 cases) and an experimental group (36 cases). The control group received atorvastatin calcium, while the experimental group received the Shenhong Tongluo formula. The treatment program consisted of 24 weeks. Observe the thickness of the intima media and plaque area of the carotid artery; Hs CRP, MLR (mononuclear C/lymphoid C), NLR (neutrophil C/lymphoid C); Clinical efficacy of traditional Chinese medicine and TCM syndrome score; Measurement of blood lipid levels (TG, TC, HDL, LDL); Homocysteine and uric acid; Changes in safety indicators. The total effective rate of the experimental group was higher than that of the control group (P<0.05). After treatment, the carotid intima-media thickness and plaque area in the experimental group; Hs CRP, MLR (mononuclear C/lymphoid C), NLR (neutrophil C/lymphoid C); Clinical efficacy of traditional Chinese medicine and TCM syndrome score; Blood lipid levels (TG, TC, LDL); Homocysteine and uric acid levels decreased (P<0.05), and the traditional Chinese medicine syndrome score was lower than that of the control group (P<0.05). No significant adverse reactions were observed in the experimental group’s control group. Conclusion Shenhong Tongluo Recipe can safely and effectively regulate the level of inflammation in the circulation of patients with carotid atherosclerosis, improve lipid metabolism disorder, reduce inflammatory reaction, alleviate and stabilize plaque and resist atherosclerosis.
Casework intervention research on interpersonal communication disorders of unsupported children
Authors: Liu Zhaoxu
Published: March 2024

This study aimed to critically evaluate the effectiveness of casework intervention in addressing the interpersonal challenges encountered by de facto unsupported children. An in-depth analysis of casework practices revealed positive outcomes, with significant advancements observed in the children’s social interaction capabilities. Leveraging a psychosocial therapy framework, the intervention strategically provided emotional support and social skills development, crucial for bolstering self-esteem and improving communicative competences. The results of this study illuminate the substantial benefits of casework interventions, confirming their essential role in facilitating the holistic growth and interpersonal health of unsupported children.
Dynamic Design of 3D Structures in Indoor and Outdoor Spaces by Integrating Perceptual and Behavioral Correlation Methods
Authors: Zhao Rui , Han Shijiao
Published: March 2024

Redefining the intersection of user perception and spatial design, this research introduces a sophisticated design methodology that integrates quantitative visual perception analysis with user behavior insights to optimize spatial configurations. Conducted across 15 communities in City H, the study employs a mix of questionnaires and observational tactics to identify how design elements correlate with user engagement. Findings reveal that environmental qualities, such as tranquility and clear signage, alongside the density of fitness equipment, significantly affect residents’ activity patterns, with a notable correlation (R²=0.727) between equipment density and spontaneous activity levels. This method promises enhanced space efficiency and user satisfaction by weaving user feedback into the spatial design process, offering a novel paradigm for spatial design innovation.
Exploring the connection between landscape art and interior and exterior space design using gray correlation analysis
Authors: Han Shijiao , Zhao Rui
Published: March 2024

In-depth research on landscape art interrelating with interior and exterior space design is still relatively limited. In this paper, we use gray correlation analysis to investigate the connection between landscape art and indoor and outdoor space design to better understand and apply the potential of landscape art in design. In this paper, we investigate the application of landscape art in indoor and outdoor space design, including the Use of landscape gardening techniques and landscape formation types. The study constructed an evaluation index system, including 16 indicators for road landscape, site landscape, green landscape and other types of landscapes, which were screened and weighted according to systematicity, operability, participation, dynamism and the combination of qualitative and quantitative indicators. We used AHP to determine the indicators’ weights and gray correlation analysis to calculate comprehensive scores for different design solutions. The best indoor and outdoor design solutions were determined by comparing and ranking the evaluations of various design solutions through case studies and statistical analysis. The method facilitates the scientific assessment and selection of indoor and outdoor design solutions to enhance the quality of design and the comfort of the human environment.
Curriculum System Design and Teaching Mode Innovation for Specialized College English Platforms
Authors: Qi Ying
Published: March 2024

This study addresses the application of rough set theory in English hierarchical teaching and explores how to optimize the teaching mode and improve the teaching quality and learning effect through this theory. This paper adopts a literature analysis and questionnaire survey method to study rough set theory’s knowledge expression and systematic decision-making mechanism. It applies it to the design of the curriculum system and the innovation of the teaching mode in the English platform of special-purpose universities. The optimized English hierarchical teaching mode using rough set theory significantly improved students’ learning interest and learning effect, in which 87.53% of the students believed it could improve their mastery of knowledge. The average score of 90.3 was 23.4 points higher than that of the control group, which was statistically significant (P<0.05). This study also found that the level of teacher specialization, students’ study habits, and school policies are key factors that influence the implementation of the teaching model. The introduction of rough set theory in this study provides new perspectives and methods for English teaching, promoting innovation in teaching methods and improving students’ learning ability.
Personalized Recommendations of Online English Teaching Resources for Higher Vocational Education
Authors: Qiao Han
Published: March 2024

Facing the intricate challenges of English instruction in higher vocational colleges, this research innovatively employs online resources to elevate educational quality and learner efficiency. It critiques the ineffectiveness of “one-size-fits-all” educational models and proposes a cutting-edge personalized recommendation system. This system adeptly curates learning materials to align with individual students’ learning patterns and competencies. By pioneering the TDINA and CUPMF models, and synergizing them with convolutional neural network (CNN) technology, our study dives deep into the educational content, ensuring precise resource recommendations. The system’s prowess was demonstrated through the successful recommendation of 815 resources, identifying strengths in electronic wall charts and courseware, alongside areas for enhancement in microclass scripts and recordings. A specialized experiment in personalized exercise recommendations further underscored the system’s efficacy, accurately tailoring the exercise level and difficulty to students’ learning capacities. Significantly, the CUPMF model emerged as a robust tool in refining the accuracy of these personalized recommendations, heralding a new era of bespoke educational experiences for students.
Exploring the Decorative Innovation of Interactive Digital Art in Interior Design under the Guidance of Ecological Concepts
Authors: Ren Li
Published: March 2024

In this article, we study how interactive digital art is applied in interior design under the ecological concept, focusing on color innovation and image technology to enhance the aesthetics and functionality of interior decoration. The article studies the three elements of color design and their application in product design. The K-Means clustering method is used to classify color imagery words in interior design, and the GAN model is combined to generate interior design colors. The results show that the error qualification rate for the color design scheme coding combination serial number is 88.2%. The composition of interior image decoration systems, digitization processing, and image fusion technology are also a part of this. A method for analyzing the impact of indoor digital decoration based on the ecological concept was proposed after studying the application range of interior decorative colors using cluster analysis. A questionnaire survey was conducted to analyze the perceptual imagery of interior decoration design. Interactive digital art can effectively enhance the aesthetics and functionality of interior design while reaffirming the ecological concept.
Research on the Application of Digital Media Art in Film and Television Animation in Multimedia Perspective
Authors: Shen Danni , Dong Yu
Published: March 2024

The fusion of digital media art with film and television animation production ushers in a new artistic and technological synergy era. This form of art, merging visual, sound, and digital innovations, faces unparalleled growth opportunities and significant challenges. This paper investigates the impact of digital media art on animation, emphasizing its influence on creative expression and production processes. Through case study analysis, we demonstrate the efficiency gains and aesthetic enhancements afforded by digital media, including a 70% reduction in rendering time and a 40% increase in character animation realism. Incorporating Virtual Reality (V.R.) and Augmented Reality (A.R.) technologies also opens up novel avenues for immersive viewer experiences. Despite facing obstacles in technology adaptation and financial investment, the application of digital media art in animation represents a crucial driver of industry evolution.
Research on the Integration of Curriculum Civics and Politics Construction into the High-Quality Talent Cultivation System for Rural Revitalization in the Internet Era
Authors: Shi Ronglian , Shi Jianlin , Zhang Ruo
Published: March 2024

In promoting rural revitalization strategy, the construction of curriculum Civics and politics is closely related to cultivating high-quality talents. Facing complex and changing social demands, the education system urgently needs to integrate civic and political education with the teaching of professional knowledge to optimize the talent cultivation process. This study analyzes the degree of matching between students’ course selection behavior and rural revitalization practice through data mining techniques. It proposes a curriculum optimization plan to strengthen the connection between the curriculum Civics and politics content and the actual needs of rural revitalization to improve the quality and efficiency of education. The study uses the particle swarm algorithm and the improved tree path matching algorithm to optimize the curriculum by analyzing the student course selection data and the rural revitalization practice data and mining the association rules between them. Through the improved data mining method, the match between students’ course selection preferences and rural revitalization needs can be effectively identified, in which the degree of integration of course civics and politics is increased by 23%, and students’ participation in rural revitalization practice activities is increased by 15%. The hierarchical clustering algorithm-based talent cultivation model is more suitable for rural revitalization. This study shows that optimizing curriculum ideology and politics in the Internet era, combined with data mining technology, can effectively promote the high-quality development of rural revitalization talent cultivation systems.
Research on Innovative Models of Second Language Teaching in the Age of Artificial Intelligence
Authors: Chen Lin
Published: March 2024

This study explores advanced models for second language instruction within the artificial intelligence landscape, spotlighting the integration of mixed quantile regression and Bayesian inference to refine teaching strategies and bolster learning achievements. By adopting mixed quantile regression, this research constructs a model that surpasses traditional assumptions of normality, enabling the handling of complex, multilevel heterogeneous data. Bayesian inference was applied for parameter estimation, enhancing the precision and reliability of our findings. An empirical investigation involving 658 students from College M revealed an average adaptability score in second language learning of 3.663, with all dimensions scoring above 3—learning attitude ranking highest at 3.956. Key factors influencing learning capacity, including motivation, intellectual literacy, self-efficacy, and the availability of resources, demonstrated a positive correlation. These findings suggest the potential of mixed quantile regression and Bayesian inference in assessing learning adaptability and determinants, offering a novel approach to AI-supported second language education.
The effect of functional fitness training on the balance ability of students specializing in the high jump
Authors: Chen Xianbiao , Ding Laijian
Published: March 2024

This study delves into how targeted exercise regimes can bolster static and dynamic balancing capabilities by exploring the nexus between functional physical training and balance proficiency in high jump athletes. Through rigorous evaluation of 80 students using the entropy weight-TOPSIS method, our four-month investigation revealed marked enhancements in balance. Notably, static balance improved by 8-10%, while dynamic balance saw a 12-15% uptick, emphasizing the efficacy of functional training in optimizing athletic performance and mitigating injury risks. The control group’s unchanged balance further underscores the specific benefits of our training regimen.
Research on English Reading Comprehension Strategies Based on Natural Language Processing
Authors: Li Dan
Published: March 2024

This study investigates strategies based on natural language processing to improve the efficiency and effectiveness of English reading comprehension by analyzing and optimizing reading comprehension models. We introduce the main framework of the English reading comprehension task, including the word embedding representation layer, the context encoding layer, the information interaction layer, and the output layer. The article utilizes the Word2vec model and decision tree ID3 algorithm to enhance the efficiency and accuracy of reading comprehension. The research data comprised 800 English articles, with 60% used for training and 40% used for testing. The articles were graded for difficulty and resources were pushed. It was found that the model proposed in this study performs better in difficulty grading (with a rating range of 0.797-0.926) and is more efficient in terms of time overhead (feature extraction time of about 10 milliseconds, and grading time of 1.7-2.6 seconds), compared to the traditional models such as BiLSTM and RNN. The pushed resources significantly correlate with learners’ self-assessed difficulty and actual performance. The NLP-based strategy proposed in the paper shows significant advantages in both efficiency and accuracy, and helps to improve English learners’ reading comprehension.
The application of 5W2H management model in the construction of enterprise economic and strategic management system
Authors: Luo Lei , Hong Qingyu , Zhong Ming
Published: March 2024

The 5W2H management model, rooted in World War II, stands out for its simplicity and effectiveness in enterprise management, offering considerable advantages in strategy planning and execution. This study focuses on the model’s role in enhancing strategic economic management within businesses, combining qualitative and quantitative analyses of various enterprises’ strategic management frameworks. Implementing the 5W2H model led to notable enhancements in strategic definition, implementation efficiency, and tangible achievements. Specifically, businesses observed a 20% improvement in achieving strategic objectives, a 15% faster strategy implementation, and a 25% increase in strategic engagement among employees. Additionally, the model proved instrumental in improving internal communication, fostering better teamwork, and optimizing the allocation of resources. Our findings affirm the significant value of the 5W2H model in refining corporate strategy formulation and execution, highlighting its essential place in modern enterprise management practices.