bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Indeks Kualitas Tanah pada Tipe Penggunaan Lahan Berbeda di Kecamatan Maginti
Authors: Jumiun Sri , Darwis Darwis , Namriah Namriah , Ginting Sahta , Leomo Sitti , Zulfikar Zulfikar
Published: February 2024

Soil quality is the ability of the soil to function to maintain plant productivity, maintain and maintain water availability and support human activities. The purpose of this study was to determine the Soil Quality Index (SQI) and determine the management direction for improving soil quality on different land uses in the Maginti sub-district. A field study and laboratory analysis were carried out from March to May 2022. The method used in this study was a free survey method through field observations conducted on 2 types of land use, namely irrigated rice fields and dry land. In irrigated rice fields, 3 sample points were taken and 3 sample points in dry land, then composited into 1 sample in order to represent the total amount of each land use. In calculating the value of the soil quality index using the formula by Bajracharya (2006) which has been modified by Ghimire (2018). The soil quality index is analyzed using the indicators that best represent soil functions. The variables observed included Texture, pH, C-Organic, N-Total, P-Available and K-Available. Soil quality index values range from 0-1, the higher the index value, the better the quality. The results of the analysis of the selected soil functions (minimum data set/MDS) and the MDS scoring were summed to determine the value of the soil quality index (SQI). The conclusion of this research is that the criteria for medium soil quality are irrigated rice fields with SQI (0,56) and dry land with low criteria with SQI (0,36). To improve soil quality in irrigated paddy fields and dry lands is to increase organic matter through the application of organic fertilizers with the right dosage according to the type and level of soil fertility.Keywords: Soil Quality Index, Irrigated Rice Fields, Non-Irrigation, Soil Management, Physical Properties of Soil Chemistry.
Evaluasi Status Hara N, P, K Berdasarkan Toposekuen pada Tanah Lahan Cengkeh di Desa Puulemo Kecamatan Lembo Kabupaten Konawe Utara
Authors: Ramadhani Nia , Rembon Fransiscus S , Namriah Namriah , Ginting Sahta , Zulfikar Zulfikar , Resman Resman
Published: February 2024

This research was carried out on a clove plantation in Puulemo Village, Lembo District, North Konawe Regency from June to July 2022. The purpose of this study was: to determine the nutrient status of different toposequences on community clove plantation in Puulemo Village, Lembo District, North Konawe Regency. The method used in the field is a survey method based on toposequence. Soil samples were taken by purposive sampling at three points, namely the top, middle and bottom of the slope with a depth of 0-30 cm and 30-60 cm. The samples were brought to the laboratory for analysis of the content of pH, Organic-C, nitrogen nutrients, phosphorus, soil potassium and soil CEC. The results showed that the assessment of some soil chemical properties in clove soil based on toposequences in Puulemo Village, Lembo District, North Konawe Regency, it can be stated that the total-N content in layers 0-30 cm and 30-60 cm were classified as moderate, available-K and available-P were classified as very low, pH values were classified as acidic, organic-C content was classified as very low and CEC content was classified as moderate at the top and bottom. in the middle and bottom at the 0-30 cm layer is classified as moderate while at the 30-60 cm layer it is classified as low.Keywords: Clove plant soil, nutrient status, toposekuen
Carbonization temperature at 400°C and the behavior in the visual degradation of 15 wood species
Authors: Vasconcelos Juliano Souza , Bailo William Duarte , De Araújo Victor Almeida , Barreiros Ricardo Marques , Christoforo André Luis , Biaggioni Marco Antônio Martin
Published: February 2024

Wood is an anisotropic material and its exposure to carbonization leads to reduced humidity and increased deformation due to the loss of its aesthetic and functional profile. Moisture may be an explanatory factor for the damage caused to the surface region of the coal. For this work, they were defined according to a basic density gradient, that is, involving species of low, medium and high densities, native and exotic, hardwood and conifers, as well as commercial and non-commercial uses. Among the species selected were: (Qualea sp.) Mandioqueira, (Aspidosperma sp.) Peroba, (Erisma uncinatum) Cedrinho, (Pinus elliotii) Pinus, (Eucalyptus.sp) Eucalipto, (Araucaria angustifolia) Pinheiro do Paraná, (Couratari sp.) Tauari, (Dipteryx sp.) Cumaru, (Tabebuia sp.) Ipê, (Peltogyne sp.) Roxinho, (Apuleia leiocarpa) Garapeira, (Goupia glabra) Cupiúba, (Astronium lecointei) Muiracatiara, (Hevea brasiliensis) Seringueira and (Schizolobium parahyba) Guapuruvu.  At temperatures of 400 ºC, damage occurred in all species, with the influence of the temperature applied on the degradation suffered in the samples studied. The images produced can contribute to the understanding of charcoal as a material in its various temperature passages and thermal processes, in addition to analyzing the anatomy of charred samples, using the terms: ruptures and fissures as damage to charred wood as parameters.
O “baralho da maternidade” como ferramenta de apoio ao maternar: um relato de experiência
Authors: Fontes Ana Paula Devitte , Pappen Morgana , Garcia Edna Linhares , Somavilla Vera Elenei da Costa
Published: February 2024

A vivência da maternidade por si é considerada desafiadora para muitas mulheres, e quando se avalia a maternidade em situações vulneráveis se depara com inúmeras adversidades e privações, evidenciando a complexidade interconectada desses desafios. Nesse sentido, também se leva em consideração o papel da rede de apoio nesse momento, sendo de extrema valia a ajuda, principalmente nos primeiros dias e situações. Muitas vezes a rede de apoio é a própria família ou algum profissional da área da saúde capacitados para esses cuidados. Este artigo tem como propósito relatar a construção de um produto técnico destinado a servir como ferramenta de apoio à maternidade, principalmente com intuito de apoio e como forma de promoção da saúde mental. A metodologia empregada abrange as narrativas de mulheres entrevistadas, focalizando a dimensão da subsistência básica, destacando o fornecimento de alimentos para si e seus filhos, ressaltando a importância da rede de apoio. Dessa análise, emergiu o "Baralho da Maternidade" como uma tecnologia social e instrumento de suporte materno. Dessa forma, a conclusão aponta que a maternidade é uma jornada árdua que requer uma rede de cuidados para tornar esse período mais tranquilo para as mães. Além disso, ressalta a urgência de políticas e programas de apoio que incentivem e preparem as mulheres para esse momento, visando promover a qualidade da maternidade. Sendo assim, o Baralho da Maternidade surge de um problema que existe na comunidade e vem para auxiliar e amenizar a solução, já que serve de apoio as mulheres e para quem está vivendo esse momento.
Present and Future Infectious Diseases Challenges for the Greek State and Society
Authors: Pappas Georgios
Published: February 2024

The current pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) has redefined normality in many social parameters, and has imposed (and continues to) a significant additional burden on health settings, economy, and state resilience worldwide. On the other hand, the SARS-CoV-2 pandemic has highlighted the vulnerabilities that pre-existed in our planning for facing major health-related events. One wonders though whether these lessons are learned, and whether they can be implemented in real life, particularly in a country like Greece, that is still under the shadow of the financial distraught of the previous decade. Based on the Global Health Security Index,1 which measures individual countries’ capability and infrastructure adequacy to deal with epidemics and pandemics, Greece has not exhibited systematic progress in improving aspects of health security that lagged behind the global average. For example, the Greek score for immunization exhibited a significant decline between 2019 and 2021. Other aspects that improved, or remained steady, between the 2019 and 2021 evaluations have not yet reached the global average, as is for example the zoonotic disease, emergency preparedness and response planning, dual-use research and culture of responsible science, real-time surveillance and reporting, case-based investigation, risk communication, medical countermeasures and personnel deployment, healthcare access, communications with health-care workers during a public health emergency, specific funding for correcting gaps identified by Joint External Evaluation or Performance of Veterinary Sciences, financing health, commitment to sharing of genetic and biological data and specimens, infrastructure adequacy, and environmental risks. That’s a lot of work to be done, and it has to be performed in times with significant infectious disease risks, either circulating or anticipated.
Development of a Variable Cost Prediction Model for Hospitalized Critically Ill Patients in ICU
Authors: MASTROGIANNI Maria , GALANIS Petros , SISKOU Olga , KAITELIDOU Daphne , KATSOULAS Theodoros
Published: February 2024

Introduction: Hospitalization of critically ill patients in the ICU is one of the most expensive areas of hospital care. Aim: The creation of a variable cost prediction model for hospitalized patients in ICU. Material and method: A retrospective observational study was carried out, using the bottom-up costing methodology. The study sample consisted of 204 hospitalized patients in the 7-bed ICU of 251 AGH, from January 1, 2016 to December 31, 2017. The demographic and clinical characteristics of the patients were recorded and the variable cost of hospitalization was accurately calculated, through an analytical recording of all the resources required for their treatment. Multivariable linear regression was implemented to investigate the impact of variables, derived from a systematic review conducted on determinants of intensive care costs. Gender, age, length of stay, APACHE II severity scale, type of patient (medical/surgical), and renal replacement therapy were used as independent variables. The average total daily cost of hospitalisation and the average daily costs of laboratory tests, medication, and consumables were used as dependent variables. Results: An increase in APACHE II by one unit and length of ICU stay by one day is associated with an increase in total daily cost by 2.74% and 1.82% respectively, while an increase in age by one year with a decrease of 0.4 %. A medical patient shows 11.62% higher total daily cost than a surgical patient, while renal replacement therapy increases the cost by 79.49%. Conclusions:Variable ICU cost is related to gender, age, severity scale,type of event and need for renal replacement therapy.
The Sustainable Technology Research on High-Efficiency Conversion and Utilization of Biomass-Based Energy
Authors: Wu Baoyi
Published: February 2024

This study delves into the sustainability of biomass-based energy as an alternative energy source, its technical conversion methods, and its environmental and economic impacts. Biomass resources, including plants, agricultural residues, and forestry residues, are not only widely distributed and renewable but also exhibit significant potential in reducing greenhouse gas emissions and combating climate change. The research focuses on three primary conversion technologies for biomass energy: physical conversion, chemical conversion, and biological conversion. It further explores key technologies for enhancing the sustainability of biomass-based energy, including biomass pretreatment, optimization techniques, and the integration of efficient energy conversion systems. The results indicate that, despite challenges, with continuous technological innovation and improvement, biomass energy can become a more sustainable energy option.
Positive Impact of Environmental Governance Policies on Watershed Economy: A Case Study of the Taihu Lake Watershed
Authors: Jin Xiawei
Published: February 2024

This paper seeks to investigate how environmental governance policies positively influence the regional economy within the context of the Taihu Lake Watershed. It will specifically delve into the practical measures taken for policy implementation and their resulting outcomes. This paper extensively examines the Taihu Lake Watershed through a comprehensive analysis of existing literature. It consolidates prior research focusing on how environmental governance policies affect the regional economy within watersheds. The study reveals that environmental governance policies have positively influenced the economy of the Taihu Lake Watershed. Policy implementation has not only advanced economic development but also enhanced public consciousness regarding environmental conservation, contributing to ecological system enhancement. Effective environmental governance policies can drive economic growth within watersheds, raise public consciousness regarding environmental preservation, and facilitate ecological system enhancements, thereby contributing positively to the sustainable development of watersheds. The insights derived from this research hold relevance for shaping environmental governance policies and economic development strategies in various regions. To further promote sustainable watershed development, it is crucial to optimize environmental governance policies, improve policy execution, foster collaboration between departments, and establish efficient benefit-sharing mechanisms.
On the Current Situation of Safety Management in Civil Engineering Construction
Authors: Wang Zhenpeng
Published: February 2024

Civil engineering information management is a mature and young subject, mature is civil engineering, civil engineering practice has been carried out for thousands of years, such as Qin Shi Huang built the Great Wall. The youngest is the information management of civil engineering, which ensures that the cost, quality, schedule and safety of the project are fully controlled through information management. Civil engineering information management is an emerging discipline that has only been proposed in recent years with the modernization of project management. Although some results have been received, there are still some problems. In order to solve these problems, it is necessary to clarify the significance of information management, discover problems in a timely manner, solve problems, and realize the informatization of construction project management as much as possible. Therefore, this paper discusses the practice of information construction of engineering project management.
Study and Practice of Blended College English Teaching Mode in Application-oriented Undergraduate Colleges under the Background of New Liberal Arts
Authors: Xu Ranran , Xu Peng , Xu Xu
Published: February 2024

Under the background of new liberal arts construction, in order to cultivate compound and innovative talents with all-round development of knowledge, ability and quality, college English teaching in application-oriented undergraduate colleges should also be based on the development trend of the times, seize the opportunity of digitization and informationization construction of higher education, strengthen the in-depth application of information technology in teaching, and promote the blended teaching reform of online and offline organic integration with digital empowerment. In view of the shortcomings of traditional college English classroom teaching, this study introduces MOOC excellent online courses and “rain classroom” into the curriculum teaching, supplemented by relevant teaching resources in line with different professional knowledge structures, and creatively constructs a blended teaching mode of college English courses based on “massive open online course + rain classroom”. Teaching practice shows that compared with the traditional classroom teaching mode, the blended teaching mode constructed in this study has obviously promoted the development of students’ learning enthusiasm and autonomous learning ability and the improvement of teaching quality, which has achieved better teaching effect on the whole.
Research Progress of Failure Mode Diagnosis Methods for Oil and Gas Field Pipelines
Authors: Wang Cong , Wang Chunni
Published: February 2024

In recent years, the service safety evaluation of oil and gas pipelines in the whole life cycle has attracted the attention of many researchers. This paper summarizes the failure modes of oil and gas pipelines and focuses on four machine learning-based oil and gas pipeline failure mode diagnosis methods: fault tree analysis method, failure expert system evaluation method, the fuzzy comprehensive evaluation method of pipeline failure, failure mode, and impact analysis method, and prospects the development of oil and gas pipeline failure mode diagnosis technology, in order to provide a reference for subsequent research.
Impact of Round-tripping FDI on Tax Avoidance of Enterprises
Authors: Zhang Gaohan
Published: February 2024

As a part of enterprise strategy, round-tripping FDI has a far-reaching impact on tax avoidance. Enterprises aim to minimize the tax burden by redistributing capital, optimizing the global business structure and adjusting the location of economic activities. This strategic choice has spawned a variety of complex mechanisms in the international tax environment, and its influence involves tax competition, tax evasion theory, transfer pricing and intellectual property rights on a global scale. These incentives can attract enterprises to bring their overseas profits back to their home countries by reducing their operating costs and improving their competitiveness, thus achieving economic growth and increasing employment opportunities. Generally speaking, the impact of round-tripping FDI on corporate tax avoidance is reflected in many levels. By optimizing the global business structure, flexibly using intellectual property rights and adjusting the transfer pricing strategy, enterprises skillfully use the international tax environment to maximize economic benefits. At the same time, the state provides positive support for enterprises through economic incentives, which reduces the tax burden of enterprises in the domestic economy and promotes the development and innovation of domestic industries.
Study on the Development Status and Future Trends of New Energy Electric Vehicles in China
Authors: Lv Zhihang , Wu Yueqiang , Wang Chongxin , Chen Jin
Published: February 2024

In recent years, energy shortage and environmental problems have become increasingly serious, and the development of new energy electric vehicles has become a new breakthrough. China's new energy electric vehicle market has entered a new stage of explosive growth, with significant growth in the proportion of private consumption and market share. However, the driving and inhibiting factors about the development of new energy automobile industry are still unclear; how the future trend of China's new energy industry development will be has not yet been fully answered; is it really a substitution relationship between new energy electric vehicles and traditional energy vehicles? How can China quickly capture market share in the complex and changing global market? To what extent does the popularization of new energy vehicles have an impact on the environment? Solving these problems will be of great significance to China's new energy development strategy. To address the above issues, this paper constructs the corresponding model and solves them. Finally, the constructed model is briefly evaluated and further discussed.
PPBRFL: Privacy-Preserving Byzantine-Robust Federated Learning
Authors: Zhou Qun
Published: February 2024

Federated learning is a distributed machine learning approach that allows the neural network to be trained without exposing private user data. Despite its advantages, federated learning schemes still face two critical security challenges: user privacy disclosure and Byzantine robustness. The adversary may try to infer the private data from the trained local gradients or compromise the global model update. To tackle the above challenges, we propose PPBRFL, a privacy-preserving Byzantine-robust federated learning scheme. To resist Byzantine attacks, we design a novel Byzantine-robust aggregation method based on

cosine similarity, which can guarantee the global model update and improve the model’s classification accuracy. Furthermore, we introduce a reward and penalty mechanism that considers users’ behavior to mitigate the impact of Byzantine users on the global model. To protect user privacy, we utilize symmetric homomorphic encryption to encrypt the users’ trained local models, which requires low computation cost while maintaining model accuracy. We conduct the experimental assessment of the performance of PPBRFL. The experimental results show that PPBRFL maintains model classification accuracy while ensuring privacy preservation and Byzantine robustness compared to traditional federated learning scheme.
Research on Intelligent Finance Construction of Manufacturing Enterprises under Digital Transformation
Authors: Gong Yutian
Published: February 2024

At present, China's economic development has entered a new normal. In order to adapt to the rapid development of the times and improve the competitiveness of China's manufacturing industry, Chinese manufacturing enterprises have begun digital transformation and upgrading. The development and application of intelligent technology have had a profound impact on the manufacturing industry, and intelligent manufacturing has entered a new stage of development. At present, many industries are at a critical juncture in digital transformation, with an increasing reliance on intelligent technology, which highlights the importance of establishing intelligent finance. If manufacturing enterprises want to truly complete digital transformation, they must make the construction of smart finance a new driving force. Based on the current background of digital transformation, financial management in the manufacturing industry needs to be innovated and optimized, and an intelligent financial model should be established. By actively applying technologies such as big data and cloud computing to the enterprise, the integration of business and finance can be enhanced, and the financial and commercial data of the enterprise can be deeply excavated to help the enterprise make business and management decisions and improve its risk control capabilities. Based on the background of intelligent finance construction, this article provides a specific discussion on the relevant issues of intelligent finance construction in manufacturing industry. Starting from the problems faced by intelligent finance construction in manufacturing enterprises, it briefly explains the background of digital transformation and the concept of intelligent finance. Secondly, it analyzes the important role of intelligent finance construction in manufacturing enterprises, and finally proposes countermeasures to promote the construction of intelligent finance in manufacturing enterprises.
A Survey of Monocular Depth Estimation based on Deep Learning
Authors: Song Zhen , Wang Jianxing
Published: February 2024

Depth information is very important for machines to perceive the environment and estimate their own state. Significant advances in robotics engineering and self-driving cars in recent decades have increased the demand for accurate depth measurements. Traditional depth estimation methods include motion structure and stereo vision matching, but these are based on the feature correspondence of multiple viewpoints, and at the same time, the predicted depth map is sparse. Depth estimation is a traditional task in computer vision that can be properly predicted by applying a variety of procedures, whereas inferring depth information from a single image is an ill-posed problem. The main objective of this paper is to provide a brief overview of the development of monocular depth estimation techniques based on deep learning. This article attempts to give an overview of supervised, unsupervised, and datasets and evaluation metrics. We conclude with a brief analysis of future developments.
Exploration of the Role of Human-computer Interaction Technology in Collaboration and Communication in Work Scenarios
Authors: Zhang Xiang
Published: February 2024

With the development of technology, human-computer interaction technology has gradually become a key tool for improving work efficiency, promoting collaboration and communication in work scenarios. This article first introduces the concept and application fields of human-computer interaction technology, then analyzes the collaborative and communication needs in the work environment, and then explores the collaborative and communication effects of human-computer interaction technology in the work environment. Finally, this article presents the challenges and corresponding solutions faced by human-computer interaction technology in work scenarios. Through exploration, the aim is to provide useful references for enterprises and policy makers to fully leverage the advantages of human-computer interaction technology in work scenarios.
Users' Emotional Responses and Behavioural Intentions to Augmented Reality Ad Content Designs
Authors: Liu Ran , Erni Marlina Saari
Published: February 2024

This article specifically examines the emotional implications of using augmented reality (AR) technology in advertising. It primarily focuses on how users' emotional reactions and subsequent actions are influenced by the design of AR advertisements. The text examines the multifaceted impact of emotion in commercial communication, encompassing diverse areas such as political advertising and online advertising that employs hilarious storytelling. The study subsequently examines the impact of emotional components of augmented reality (AR) advertisements on users, emphasizing the crucial roles played by immersive and interactive experiences, creative design, user engagement, and other aspects in guiding emotions and shaping behavioral intentions. Ultimately, the utilization of augmented reality (AR) technology is showcased in the domains of electronic commerce, internet-based food delivery, and educational gaming. In order to gain a comprehensive understanding of emotion in AR advertising, it is necessary to conduct thorough study on the particular application and implementation methods. Additionally, it is important to examine how technological, cultural, and societal factors impact user responses. This paper seeks to analyze and combine existing studies in order to uncover the potential of emotional applications in augmented reality (AR) marketing. Additionally, it attempts to offer guidelines for future research and practical implementation.
Research and Simulation of Fuzzy Expert Anti-surge Control System for Compressor
Authors: Yi Yanan , Sun Mingge
Published: February 2024

In order to solve the problem of compressor surge caused by flow fluctuations that cannot be effectively solved by conventional PID control, a fuzzy expert PID controller was designed based on the analysis of the working principles of fuzzy controllers and expert controllers. This controller has the advantages of good stability and high control accuracy of fuzzy control, as well as the advantage of fast response time of expert controllers. The MATLAB simulation results show that the fuzzy expert PID control algorithm has the characteristics of high stability, fast response speed, and small overshoot compared to conventional PID.
How can the Elderly Association better participate in rural mutual aid elderly care
Authors: Han Jinling
Published: February 2024

According to relevant statistics, as of the end of 2022, the number of elderly people aged 60 and above in China has reached 280 million, and the total number of people aged 60 to 69 with mild aging has exceeded 147 million. It is expected that by 2030, the proportion of the population aged 60 and above in China will reach 36.6%. From this, it can be seen that the focus of China's aging population is still on rural areas, and "rural elderly care" has become a topic of constant concern in China's academic community. Among many elderly care models, the "low-cost" mutual assistance and cooperation elderly care model can be seen as a feasible path to solve rural elderly care problems in China. This article aims to explore the role and future development direction of welfare oriented elderly associations in rural mutual aid elderly care. Through a review of relevant literature, this article finds that the elderly association plays a role in providing services, promoting social interaction, and reducing family burden in rural mutual aid elderly care. However, there are also problems such as funding shortage and talent shortage. In the future, through the role of the Elderly Association in mutual elderly care, specific suggestions and measures will be proposed to further promote the well-being and development of the elderly.
Integrating Regional Culture into Public Art within the Metro Public Space
Authors: Zhu Anqi
Published: February 2024

Chinese artists with the development of China's economy and the accelerated construction of urbanization, public art expresses the collective consciousness and mainstream emotions in the process of China's social development. Seeking to express the revival and mutation of traditional culture in a proper artistic language, people hope to express their aspirations for the times through public art. China's urban subway public art is a typical manifestation of public art in the current stage of China's development, and has traveled with every important period of China's reform process, recording the traces of the times with works of art. China's subway public art has been diversified from the initial single form of expression, but there are still many shortcomings and problems, waiting for our artists and art workers to explore, China's subway public art to the world. China's urban subway public art has a successful case, but there is also the phenomenon of serious commercialization. China's urban subway public art has become an important platform for the historical heritage of the Chinese nation. The development of urban subway makes our urban public art more and more recognized by the public.
Behavior Prediction of Vespa mandarinia based on Convolutional Neural Networks
Authors: Wu Shihao
Published: February 2024

Vespa mandarinia poses a significant threat to honey bees and beekeepers. This paper aims to accurately predict the presence and behavior of Vespa mandarinia to enable effective control strategies. We develop an "Asian hornet queen prediction model" to forecast the dispersal path and number of queens, identifying their concentration in Bellingham, Washington, and Bellingham, Canada. Using a convolutional neural network, we achieve 96.13% accuracy in identifying Vespa mandarinia images. Analyzing confidence levels of unprocessed and unverified labels reveals a significant number of high-confidence samples. Incorporating human control factors into the model, we find 60% human intervention to be most effective in reducing the number of Asian hornet queens. Ultimately, our research highlights the potential for anthropological or ecological measures to eliminate Vespa mandarinia populations, aiding in resource allocation for proactive management.
Application of Artificial Intelligence in Employee Training and Development
Authors: Na Sha Ri
Published: February 2024

This study analyses the application of artificial intelligence in employee training and development. The applications of AI in workplace training, performance evaluation and career development planning are explored. Among them, four aspects of AI in workplace training are analysed, including challenges and opportunities of workplace training, intelligent aids in workplace training, assessment and optimisation of workplace training effects, and cases of AI aids in workplace training; four aspects of performance assessment are analysed, including data collection and analysis, automated assessment tools, real-time feedback and personalised guidance, and assisted decision-making and prediction; and four aspects of career development planning, four aspects are analysed, such as AI can provide personalised career development advice for employees, AI can also help employees to discover new opportunities and challenges in their career development process, AI can also provide career development training and knowledge management, and the application of AI in career development planning also faces some challenges.
Intercultural Perspective on Drama Adaptation: A Case Study of "Waiting for Godot" (2023 Wuzhen Theatre Festival Edition)
Authors: Chen Chen
Published: February 2024

This paper conducts an in-depth study on "intercultural" drama adaptation in the context of globalization, taking the version of "Waiting for Godot" presented at the 2023 Wuzhen Theatre Festival as a case study. It explores how to make innovative and profound intercultural adaptations while retaining the spiritual core of the original work. The article proposes and applies analytical perspectives such as "form and physicality, "emphasizing the importance of preserving the "core" meaning of the original work during the adaptation process. This paper employs field research methods for on-site study, observing and analyzing "Waiting for Godot" performed at the Wuzhen Theatre Festival, and proposing various intercultural adaptation methods. Additionally, this article conducted audience surveys to gather feedback from the viewers' perspective, making the research more comprehensive and in-depth. The innovation of this paper lies in the first-time application of field research methods to the study of drama adaptation, obtaining data from actual performances and audience feedback, which makes the research findings more realistic and practically valuable. Moreover, our proposed concept of preserving the "core" of drama provides a new theoretical perspective and practical direction for future drama adaptation research.
Analysis of Congestion Problems at Green Dream Roundabout Intersection in Yubei District
Authors: Li Linxin , Zhao Shuo , Chu Cong
Published: February 2024

Traffic congestion can have a series of adverse effects: roads, highways, The traffic efficiency of highways and other transportation facilities is reduced, resulting in more serious traffic congestion; people's travel time becomes longer, a lot of time and energy are wasted, and daily work and life are affected; the risk of traffic accidents is increased, and the vehicles are dense when traffic congestion is dense, and traffic accidents are prone to occur; environmental pollution affects economic development; transportation costs are increased, and economic pressure is caused to enterprises and individuals, congestion has become a hot topic of discussion among the general public at present, especially in Chongqing, and solving traffic congestion is the urgent yearning of the people. Based on this background, this paper takes the traffic congestion at the intersection of Lvmeng Roundabout in Yubei District, Chongqing as the research object, and judges the traffic congestion level of the Lvmeng Roundabout intersection by referring to relevant domestic research articles and using intelligent traffic data to collect and analyze, and deeply analyzes the causes of traffic congestion at this intersection and gives a mitigation plan.
The Commercial Application Scenario and Development Path of Intelligent Manufacturing and New Energy Integration
Authors: Li Qiang
Published: February 2024

This paper deeply discusses the commercial application scenarios and development paths of the integration of intelligent manufacturing and new energy. By summarizing the basic knowledge of intelligent manufacturing and new energy, the importance and motivation of the integration of the two are highlighted. This paper analyzes the application status of intelligent manufacturing and new energy in automobile manufacturing, construction industry and energy Internet, and puts forward the path of technological innovation, policy promotion, business model innovation and social cooperation for the future development. At the same time, the research points out the technical challenges, policy challenges, business model challenges and social collaboration challenges faced by the integration of intelligent manufacturing and new energy, and provides specific countermeasures for each challenge. Finally, the paper summarizes the results and prospects the future developments.
Analysis of the Current Situation in the Development of Lithium Battery-powered Vehicles for Sea-rail Transport " One-container Operation "
Authors: Gu Ruirui
Published: February 2024

In the new energy vehicle market, Shanghai's leading position in terms of export volume among the Yangtze River Delta region is evident. Owing to the restricted carrying capacity of roll-on/roll-off (RoRo) vessels for automobiles, the need for containerized shipping methods for the export of Lithium battery-powered vehicles. has become pressing. In response to the aforementioned situation, since the release of the "Opinions on Accelerating the Development of the Integrated Transport System with 'One Document, One Container'" earlier this year, the government have innovatively organized remote containerization services and provided guidance on maritime dangerous goods containerization for Lithium battery-powered vehicles. at the railway originating stations. A green channel has been established for the declaration of maritime dangerous goods for this batch of goods, while efforts have also been intensified to enhance coordination at various stages, including railway transportation, unloading at the destination, and short-haul transportation to the port. This article aims to elaborate on the various aspects of this measure and provide an analysis of its development.
Effective Combination of 3D-DenseNet's Artificial Intelligence Technology and Gallbladder Cancer Diagnosis Model
Authors: Zhao Xinyu , Liu Bo , Lin Qunwei , Huang Jiaxin , Yu Liqiang
Published: February 2024

Gallbladder cancer is the most common malignant tumor in the biliary system. It has the characteristics of low early diagnosis rate, strong invasiveness and high lymphatic metastasis rate. In recent years, with the rapid development of artificial intelligence technology, relevant technologies based on machine learning and deep learning algorithms have been applied to the diagnosis and treatment of malignant tumors, prognosis assessment and medical image processing, bringing revolutionary changes to the diagnosis and treatment mode of malignant tumors. At present, artificial intelligence technology has been preliminarily studied in the early screening and diagnosis of gallbladder cancer, preoperative lymph node status assessment, intraoperative lymph node dissection, surgical treatment and prognosis assessment, showing certain clinical value. In this paper, in order to assist clinical diagnosis of gallbladder cancer, an improved 3D-DenseNet was used to establish an assisted diagnosis model of gallbladder cancer based on enhanced CT images of patients. Firstly, multiple arterial CT images of patients were converted into 3D images, and the regions of interest were cut out using the gallbladder area marked by doctors. Then, the traditional Dense Net network is optimized, the Dropout mechanism and Soft max loss function are improved, and the cross-entropy function is replaced by Focal loss in the output part for imbalance correction, so as to establish the auxiliary diagnosis model of gallbladder cancer.
Problems and Countermeasures in the Application of Computer Technology in Project Management
Authors: Zhao Guanglei
Published: February 2024

In the context of rapid socio-economic development, engineering projects have gradually achieved remarkable results, for engineering projects, the project volume is relatively large, the overall construction period is long, the management of the implementation of the management work is more difficult, and at the same time for engineering projects, the quality of the project is often more stringent requirements. Therefore, when carrying out management work in engineering projects, computer application technology should be actively utilized to promote the overall level of project management to ensure management quality and management efficiency. In this paper, the importance of computer technology in engineering project management and the use of elaboration, at the same time, in the process of engineering project management deficiencies in the analysis and put forward the corresponding measures.
Comprehensive Resource Treatment of Titanium White Waste Acid by Chlorination Method Based on Mechanical Separation Method
Authors: Meng Xinle , Li Bohan , Tian Hudong , Li Ruilong , Zhao Jiahui
Published: February 2024

Using the chlorination method to produce titanium dioxide, approximately 6~8t of waste acid with a mass fraction of about 20% is generated per 1t of titanium dioxide produced.In order to address the issue of acid waste pollution and resource recycling, domestic and international scientists and researchers have developed and studied various governance processes and methods, such as rare metal extraction, concentration neutralization, membrane separation technology, and so on.This article analyzes the advantages and disadvantages of various processes and proposes the mechanical separation method to treat waste acid of titanium dioxide, which has certain reference significance for carrying out new research on acid waste treatment processes.
Translation and Communication of Shanhaijing under Transknowletology
Authors: Zhang Fuling
Published: February 2024

Shanhaijing has unique academic value and cultural significance, and its rich content, ingenious expressions and in-depth research have received widespread attention not only from domestic readers, but also from overseas readers. With the wide dissemination of Chinese literary works in the international arena, it has become a topic full of contemporary significance to present Chinese classic literature to the world, to promote the globalization of local knowledge, and to incorporate it into the vast fence of world literature. Shanhaijing, with its rich intellectual connotation, remarkable literary style and distinctive local characteristics, has become an outstanding representative of this proposition. Starting from the characteristics of the original works, integrating the relevant theories of intellectual translation, and giving full play to the advantages of modern multimedia and materials, the translation practice should be in line with the pulse of the times and satisfy the readers' preferences, so as to ensure the effectiveness of the translation and dissemination of Shanhaijing.
Image Recognition for Fruit-Picking Robots
Authors: Li Jianxin , Zhou Yibing , Gao Zimo
Published: February 2024

This summary presents the solutions to the five questions posed in the competition regarding apple image recognition. The objective is to establish a robust apple image recognition model that accurately counts the number of apples, estimates their positions, determines their maturity state, calculates their masses, and recognizes them based on provided image datasets. The specific answers to each question are as follows: Using the image dataset of harvest-ready apples provided in Attachment 1, an image feature extraction method is employed to establish a mathematical model for counting the number of apples in each image. The distribution of all apples in Attachment 1 is then depicted in a histogram. The precise number of apples in each image is determined, enabling a comprehensive understanding of the dataset. Utilizing the image dataset of harvest-ready apples provided in Attachment 1, the positions of the apples in each image are identified. The left bottom corner of the image serves as the coordinate origin, and a two-dimensional scatter diagram is created, illustrating the geometric coordinates of all apples in Attachment 1. This analysis facilitates the visualization of the spatial distribution of apples within the dataset. Based on the image dataset of harvest-ready apples provided in Attachment 1, a mathematical model is developed to assess the maturity state of apples in each image. By applying this model, a histogram is generated, illustrating the distribution of maturity levels across all apples in Attachment 1. This analysis provides insights into the overall maturity status of the dataset.
Application of Three-dimensional Coding Network in Screening and Diagnosis of Cervical Precancerous Lesions
Authors: Pan Yiming , Shen Zepeng , He Yuhang , Wei Kuo , Zhang Yuchen
Published: February 2024

Globally, the incidence of cervical cancer ranks fourth among female malignant tumors, seriously threatening the physical and mental health of women. Early detection and early treatment can greatly reduce the mortality of cervical cancer "cytology /HPV test, colposcopy and cervical biopsy" is the main method for clinical diagnosis of cervical cancer. The progress of medical technology has significantly improved the early diagnosis of cervical cancer, but due to various factors, there are still many cases of missed diagnosis and misdiagnosis. In recent years, artificial intelligence has developed rapidly in the medical field, and has also shown good applicability in the screening and diagnosis of cervical cancer. In this paper, we design an mcs-SEM structure that contains both channels and space compression excitation modules, which can retain comprehensive spatial information at a low computational cost. Then, the structure is embedded in a three-dimensional coding network to realize the combination of two-dimensional convolutional neural network and three-dimensional spatial information, so as to predict the DVH in the complex distribution scenario of multi-endangered organs with higher accuracy.
Research on Secondary Development Method based on Haochen CAD
Authors: Ren Yongchuan , Xie Guofeng , Liu Feng , Luo Kaihuai , Chen Tianxing
Published: February 2024

This article explores the methods and techniques of using Haochen CAD for secondary development in the fields of engineering design and drawing. By studying the secondary development method of Haochen CAD, the customizability and scalability of the software can be improved to meet specific design requirements in different industries and needs. Emphasis was placed on exploring the technical means of secondary development, including Object ARX, VB, and C # NET and other different programming languages and interfaces, and analyzed specific application cases of secondary development in engineering design.
Analyzing the Differences of Government Intervention Policies for the Public Housing Systems of Hong Kong and Singapore
Authors: Wang Huan
Published: February 2024

Government intervention has different effects on different economies. This paper will introduce the background and development process of government intervention in housing policies in Hong Kong and Singapore. Since the public housing policies in both places are implemented with government intervention, this study mainly analyzes the differences in the development of public housing systems and the role of government intervention in them from the perspective of social development. The conclusion of this paper makes it clear that the market intervention led by the government of Singapore makes the establishment and implementation of the public housing system in Singapore more seamless than that in Hong Kong, but this does not mean that Hong Kong should adopt the implementation strategy of Singapore, and the housing system should be viewed from the broad social development background. The Hong Kong government "positive non-intervention" created by the development of market economy. Which is unable to support the implementation of a public housing program with the same level of coverage as Singapore, resulting in different government interventions and vastly different housing policies.