bluuebunny/crossref_metadata_2025 huggingface dataset:
Gene ESR1 como biomarcador preditivo e prognóstico em câncer de mama: uma revisão sistemática
Authors: Chao Barbara Mendes Paz , Razera Amanda , Dallacort Nathalia Gabrielle , Tortorella Catiuscie Cabreira da Silva
Published: January 2024

No cenário atual do câncer de mama novos biomarcadores genéticos com valores preditivo e prognóstico têm sido buscados, sendo o gene ESR1 extremamente relevante nesse contexto. Desse modo, o presente trabalho objetivou identificar e selecionar evidências acerca do gene ESR1 como biomarcador preditivo e prognóstico da doença, segundo a realização de uma revisão sistemática da literatura, por meio das bases de dados PubMed e Science Direct, segundo critérios de inclusão e exclusão estabelecidos. Foram encontrados 491 artigos correlatos, sendo 29 selecionadas para serem avaliadas para elegibilidade em texto completo, de modo que foram selecionados 10 artigos para a síntese qualitativa do presente trabalho. Os achados demonstram o papel do ESR1 como potencial biomarcador preditivo e prognóstico ao câncer de mama, sendo amplificações, ganhos e deleções relevantes, seja comparado à expressão do receptor de estrogênio (RE), seja quanto aos esquemas terapêuticos.  Contudo, mais estudos clínicos são necessários, seja para elucidar efetivamente o mecanismo molecular do gene em questão, seja para que sua compreensão seja ainda mais específica, a fim de que a sua aplicação seja mais efetiva no contexto em questão.
Relationship between farmer knowledge and porang farming income
Authors: Wijayanti Putu Udayani , Susrusa Ketut Budi , Dewi Ni Luh Prima Kemala
Published: January 2024

Recently, the area where Porang is planted has become more and more widespread in the Bali region because it is increasingly in demand among farmers. Based on 2021 data, the planting area of Porang plants in Bali has reached 974 hectares spread throughout Bali. The income promised from this farming business is certainly very profitable for farmers, but of course as a new commodity, Porang farmers face various risks in cultivating it. This research data analyzed quantitatively to find out the amount of income and how it relates to the knowledge of Porang farmers. The population is 200 farmers who are members of the Bali Porang Farmers Association (P3B), 15% of the sample was taken, namely 30 Porang farmers. Farmer's knowledge is everything that farmers know regarding activities regarding the Porang plant and also business opportunities or employment opportunities for farmers. Knowledge is an aspect of behavior that is mainly related to the ability to remember material that has been studied. Farming income is the difference between the farming income obtained and the total farming expenditure.
PENINGKATAN PERAN AYAH ASI SEBAGAI SUPPORT SYSTEM DALAM KEBERHASILAN PEMBERIAN ASI ESKLUSIF
Authors: Aisyaroh Noveri , D Syifa Fathiyatu , Khabibah Umu , Yulvina Vera , Pamungkastuti Wahyu , Muslimasari Wiwi , F Yuli Aditya
Published: January 2024

ASI eksklusif diberikan kepada bayi sejak dilahirkan 0-6 bulan, pada tahun 2019 data WHO mengungkapkan hanya 41% bayi yang menerima ASI eksklusif. Beberapa faktor yang mempengaruhi keberhasilan pemberian ASI Eksklusif salah satunya dukungan Ayah ASI. Ibu yang merasa dicintai, didukung, diperhatikan maka muncul emosi positif peningkatan produksi hormon oksitosin sehingga produksi ASI lancar. Salah satu upayanya yaitu dengan meningkatkan pengetahuan Ayah ASI sehingga dapat memberikan dukungan pada ibu selama menyusui. Tim Kebidanan Komunitas Profesi Bidan FK Unissula melakukan kegiatan pengabdian masyarakat dalam bentuk penyuluhan mengenai ASI dan pijat oksitosin pada 30 Ayah ASI di RW 05, Kelurahan Karangroto, Kecamatan Genuk, Kota Semarang, dan melakukan evaluasi dengan pre post test. Hasil penyuluhan terjadi peningkatan pengetahuan tentang ASI eksklusif sebesar 63,6%, hasil uji statistic menggunakan Wilcoxon didapat nilai P value 0,046 (<0,05) yang artinya terdapat perbedaan pengetahuan sebelum dan setelah penyuluhan. Selain itu, peserta juga mampu melakukan simulasi pijat oksitosin dengan baik dan antusias. Pemberian informasi mengenai ASI eksklusif dan pijat oksitosin kepada Ayah ASI akan lebih efektif jika diberikan mulai ibu hamil trimester III sampai selama menyusui sehingga dukungan Ayah ASI menjadi lebih optimal.
Internal green marketing orientation and business performance: The role of employee environmental commitment and green organizational identity
Authors: Elshaer Ibrahim Abdelhamid , Azazz Alaa Mohamed Shaker , Alshebami Ali Saleh , Abdulaziz Tamer Ahmed , Mansour Mahmoud Abohashem , Fayyad Sameh
Published: January 2024

The research examines the idea that Internal Green Marketing Orientation (IGMO) is a strategic approach within the tourism and hospitality industries that focuses on integrating environmentally friendly practices into the organizational culture. It encompasses how a business perceives, values, and prioritizes environmental concerns as part of its internal operations. IGMO, as a fundamental aspect of a company's strategy, plays a significant role in shaping Business Performance (BP) in this sector. How does IGMO influence Business Performance (BP) in the tourism and hospitality industries, and what is the role of Employee Environmental Commitment (EEC) and Green Organizational Identity (GOI) in this relationship? The purpose of this study is to find the answers to the previous questions. The study randomly gathered data via time-lagged surveys distributed among workers with at least two years of experience in hotels and tourism companies in Egypt. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the perceptions of 338 employees working in hotels and tourism companies in Egypt. The study's results showed that IGMO is positively associated with BP. Furthermore, IGMO is positively associated with EEC. In addition, EEC is positively associated with BP. EEC succeeded in mediating the association between IGMO and BP. Finally, the study proved that GOI moderates the association between IGMO and EEC. Practical implications include prioritizing IGMO, fostering employee environmental commitment, recognizing the impact of employee commitment on business performance, leveraging employee commitment as a mediator, and understanding the role of green organizational identity in shaping employee commitment.
Comparison of the parameters of a flat solar collector with a tubular collector to ensure energy flexibility in smart buildings
Authors: Kunelbayev Murat , Mansurova Madina , Tyulepberdinova Gulnur , Sarsembayeva Talshyn , Issabayeva Sulu , Issabayeva Darazha
Published: January 2024

This study examines the application and implementation of energy-efficient measures and strategies for use in buildings aimed at achieving the goal of virtually zero energy consumption by buildings. In particular, the aim of the study is to introduce integrated solar devices into the building, functioning as a functional component of the structure for heat storage, in order to increase the flexibility of the structure while maintaining comfortable conditions inside. This article discusses an experimental comparison of flat and tubular solar collectors in the southern and northern regions of Kazakhstan. Compared to glass (S = 3), a tubular solar collector has a coefficient of thermal conductivity that is two times lower for single-layer elements and 2.5 times lower for double-layer elements. This means that less heat is lost. A flat solar collector was also developed, a heat-insulating translucent double-glazed window with reduced pressure, and the coolant is made of thin-walled corrugated stainless-steel pipe. In this collector, there is a constant circulation of heat, which increases the efficiency of heat transfer by eliminating additional partitions between the panel and thermal insulation. A calculation was carried out that allowed us to determine the productivity and useful gain for two collectors. The annual increase in the useful energy of flat solar collectors is about 12780000 kJ/hour and 20100000 kJ/hour for tubular solar collectors; therefore, the annual increase in the useful energy of evacuated tubular collectors is 20% more than that of flat plate collectors in the northern region.
Molybdenum and tungsten stimulate immune responses under biotic stress in Nicotiana abenthamiana infected with tomato bushy stunt virus
Authors: Serikovna Tokasheva Dana , Zholdasbayevna Akbassova Alya , Tukenovich Omarov Rustem
Published: January 2024

The present research examines how molybdenum and tungsten stimulate immune responses under biotic stress in Nicotiana abenthamiana. Plants are subjected to a wide range of environmental stressors that reduce and limit crop productivity. The primary response to any stress type is the production of reactive oxygen species (ROS) that cause oxidative stress, whose elimination by molybdoenzymes plays an active role. However, in the case of a molybdenum shortage in the soil or substrate, tungsten replaces molybdenum in the active centre of enzymes. Our study demonstrates the potential use of tungsten (W) and molybdenum (Mo) to stimulate the immune response of Nicotiana abenthamiana plants when interacting with Tomato bushy stunt virus (TBSV). The results indicate that the use of Mo and W metal salts activates the antioxidant system, particularly aldehyde oxidase (AO). Seed priming in metal solutions resulted in the appearance of the additional AO isoform. Furthermore, root length was high in the 1 mM Mo+W solution (4.05 cm, compared to 2.03 cm in the control). And seedling biomasses were significantly higher in infected plants in molybdenum and tungsten solutions at concentrations of 1 mM, 8.5 and 8.8 g, and about 7.6 g in control. The incubation of infected N. benthamiana plants in a solution of tungsten increased their resistance to TBSV. This is shown by a low level of accumulation of hydrogen peroxide (0.014), which is 23% less than the control infected plant. These results suggest the involvement of Mo and W in the mechanisms of resistance against viral infection and stimulation of the immune response of plants to biotic stress.
Survival probability of the ancestors of the indigenous people of Canada who migrated during the last glacial maximum
Authors: Nagasaki Kibo , Nagasak Shinya
Published: January 2024

The purpose of this study is to examine the survival probability of the ancestors of the indigenous people of Canada during their migration to the last glacial maximum. The ancestors of the Indigenous people of Canada are believed to have migrated during the Last Glacial Maximum under severe ice-age conditions. However, the possibility of their survival is unclear. Creating a mathematical model, the survival probability of Indigenous ancestors who migrated to Canada and the effects of different factors were studied. Using logistic regression analysis, we evaluated the effects of different factors, such as the mean female life expectancy, average childbirth interval, and marriage age, on their survival probability. The results suggested that a polygamous community was more likely to survive. The survival probability was maximized in the cases of monogamy/unintentional migration (0.60), polygamy/unintentional migration (0.87), and marriage age of 15 years/monogamy/unintentional migration (0.76). However, the survival probability was low for many possible combinations of the mean female life expectancy and the average childbirth interval. The low survival probability would demonstrate the levels of resourcefulness, bravery, and wisdom that the Indigenous ancestors possessed to survive. A problem was that the available data on mortality and fertility were not specific to the ancestors of the Indigenous people of Canada. In the future, the accuracy of the survival probability of the ancestors of the Indigenous people of Canada will improve once quantitative research data on the ancestors’ life expectancy and childbirth are available.
The economics of digital tools in Kazakh agriculture
Authors: Ryskeldi Olzhas , Shelomentseva Valentina , Mirkovic Milika
Published: January 2024

The agricultural sector in Kazakhstan represents only 5.4% of the total Gross Domestic Product and consists of livestock and crop production. The agricultural industry's potential production is limited by outdated technology, inefficient work practices and a lack of digitization which accounts for a small portion of the economy's overall value. Modernising agricultural output and making investments profitable represent some of the crucial challenges.   However, in this field, limited research has been done. There are no studies investigating the profitability and return on investment of digitalization. Therefore, this paper investigates six digital technologies and their economic effects: health management in beef production, dairy cow movement tracking, drone counting systems, crop parallel driving systems, telematics   and soil moisture monitoring. The data for this paper are from our own field studies of more than 138 farms in various regions of Kazakhstan. The extracted data includes the type of technology, equipment, cost and added profit of the farm. The investment performance indicators (IPI) were evaluated based on this data. Studies reveal that the use of technology demonstrates the financial viability of the digitalization of agriculture.  The IPI of different technologies provides important information and data for farmers when making decisions about increasing the scope of digitization. Furthermore,  the findings provide valuable understanding of the agricultural output in the area and serve as a solid foundation for the Kazakhstani government to establish forthcoming policies.
The Mahsa Movement: The First Feminist Movement in Iran?
Authors: Khosrokhavar Farhad
Published: January 2024

The present article attempts to show that this is the first feminist movement in Iran, if we submit to a restrictive definition of the social movement, a phenomenon of significant scope, where global demands are interwoven and where the demand touches the foundations of the social order that the movement intends to change. The Mahsa movement is based on a new subjectivity, where young women's joie de vivre and self-assertion go hand in hand. The rejection of the compulsory veil is the sign of a new relationship with the body and individuation, which this work seeks to explain. The movement is based on women's rejection of the patriarchal pact between traditional strata, religious fundamentalists, and the totalitarian state.
Meningkatkan Kedisiplinan Siswa Kelas XI SMAN 3 Bojonegoro Melalui Layanan Bimbingan Kelompok dengan Teknik Diskusi Kelompok
Authors: Eka Puspitaningtias Ratih
Published: January 2024

Disiplin adalah kepatuhan seseorang dalam mengikuti peraturan atau tata tertib karena didorong oleh adanya kesadaran yang ada pada kata hatinya tanpa adanya paksaan dari pihak luar. Disiplin merupakan tujuan yang ingin dicapai sekolah untuk melatih siswa memiliki karakter positif dan mengarahkan siswa untuk melakukan aktivitas secara terarah dan sesuai dengan peraturan yang berlaku di sekolah. Tujuan dalam penelitian ini yaitu untuk mengetahui bagaimana layanan bimbingan kelompok dengan teknik diskusi kelompok dapat meningkatkan kedisiplinan siswa. Penelitian ini menggunakan penelitian tindakan dengan subyek penelitian yaitu siswa kelas XI yang mempunyai kecenderungan kedisiplinan rendah. Penelitian ini dilakukan dalam dua siklus, tiap siklusnya terdiri dari: (1) Perencanaan, (2) Tindakan, (3) Observasi, (4) Refleksi. Untuk memperoleh data digunakan skala kedisiplinan serta pedoman observasi dan wawancara. Pelaksanaan tindakan yang dilakukan peneliti melalui bimbingan kelompok dengan menggunakan teknik diskusi kelompok dan pemutaran film menunjukkan tingkat kenaikan yang signifikan. Setelah pelaksanaan siklus 1 terjadi peningkatan 9,43% dari kondisi awal dan setelah siklus 2 terjadi peningkatan 16,86% dari kondisi setelah siklus 1 (26,28% dari kondisi awal) dan semua siswa berada dalam kriteria kedisiplinan tinggi dan sangat tinggi. Perubahan perilaku siswa antara lain memiliki pemahaman terhadap peraturan (tata tertib) sekolah, sikap mental dalam melaksanakan peraturan sekolah dan kesungguhan dalam menaati peraturan sekolah. Berdasarkan hasil penelitian dan pembahasan diatas maka disarankan bagi konselor agar dapat merancang tindakan melalui bimbingan kelompok dengan teknik diskusi kelompok untuk meningkatkan kedisiplinan siswa dan dipadukan dengan penggunaan multimedia.
Early Socialization and Psychological Support for Children Victims of Violence at SMP Kartika IV-I Surabaya
Authors: Rahayu Septyana Dwi , Madhengsan Rizka Aulia , Alifah Nikmatul Ilma , Khotimah Khusnul , Ibad Moh Nasoihul
Published: January 2024

Children are part of the young generation who are the successors of the nation's ideals who have a strategic role and require protection in order to ensure complete and balanced physical, mental and social growth and development. To reduce cases of violence against children, a comprehensive policy is needed. Early prevention and education efforts are needed that involve all parties and elements of society. Violence against children can have a very detrimental impact, not only on the victim directly but also on society as a whole. Therefore, socialization and early psychological support are needed in dealing with violence in children. The aim of holding this activity is to increase children's knowledge about violence, the types and steps that must be taken if violence occurs to them. Apart from that, initial psychological support is here as an effort to help children who have been victims of violence, whether physical, psychological or sexual violence.
Transpersonal Psychology Approach in Cases Anxiety: Literature Review and Annotated Bibliography
Authors: Yusro Lailatul , Sa'adah Nurus
Published: January 2024

This study aims to conduct a review of the discussion on transpersonal psychology approaches to anxiety disorders in the last five years to answer the pros and cons with the scientific evidence that has been available in the last five years. This research uses literature review and annotated bibliography methods related to the topic raised in the last five years, in this case there are 29 literatures selected after screening and consideration. In this study, the main points of the 29 literatures found that the transpersonal psychology approach in cases of anxiety is on average successful in both qualitative, quantitative and R&D contexts. In addition, transpersonal approaches in cases of anxiety are dominated by Islamic approaches. However, it becomes another challenge for us when it is faced with digitalization, where in one case the approach was applied through an application and in fact it still failed to treat anxiety cases.
Palacete Visconde da Palmeira: testemunho material da sociabilidade pindamonhangabense
Authors: Morais Brenda , Alvarenga André
Published: January 2024

Este artigo analisa o decurso histórico do Palacete Visconde da Palmeira, importante símbolo do período áureo do café para a cidade vale-paraibana de Pindamonhangaba. Tendo como fonte os artefatos materiais presentes nas mostras do Palacete, que atualmente abriga o Museu Histórico e Pedagógico da cidade, é possível observar as transformações sociais que este lugar de memória testemunhou ao longo de sua história.
Optimal placement of phasor measurement units using topology transformation method based on Grey Wolf optimization approach
Authors: Mohammedi Ridha Djamel , Gozim Djamal , Laouid Abdelkader Azzeddine , Elbar Mohamed
Published: January 2024

The optimal placement of phasor measurement units (PMUs) requires minimizing both the number of PMUs required and ensure that the whole power system is totally observable. To identify a power system as observable, it is necessary to know the voltages of all the buses in the power system. This paper suggests rules of selection for the topology transformation method, which implies a process of merging a zero injection bus and one of its neighboring buses. The selection of a bus chosen to merge with a zero injection bus will affect the result of the merging process. To determine the most appropriate bus to merge with the zero injection bus, the proposed method will use four rules designed to determine the minimum number of PMUs required to achieve full observability of the power system. The problem is formulated and solved by a grey wolf optimization (GWO) approach. The suggested GWO has been applied to the IEEE 14-bus, 24-bus, and New England 39-bus.
Electron Gun Generation and Application in Welding, Lithography and Treatment of Pollutants
Authors: Han Zhirui
Published: January 2024

As a matter of fact, electron gun has already been widely adopted in various fields. In general, the electron gun is a device used to form an electron beam. In recent years, electron guns have been adopted in welding, lithography and treatment of pollutants. With this in mind, this study will introduce the principle of the electron gun and its application in the three fields respectively. In the electron gun, the cathode is electrically heated in a vacuum to emit hot electrons. Applying a strong potential to the anode, the emitted electrons are accelerated at a given energy, thus forming an electron beam. This has led to the widespread use of electron beams. By studying the rapid development of electron beam applications generated by electron guns, it is shown that electron guns have excellent prospects for development. Overall, these results shed light on guiding further exploration of electron gun development.
A design of fully differential operational amplifier for switched-capacitor application
Authors: Niu Yuxuan
Published: January 2024

Switched-capacitor (SC) circuit is used widely in communication and signal processing systems, such as switched-capacitor filter and switched-capacitor integrator. This paper proposes a fully differential operational amplifier for switched-capacitor application. The designed amplifier comprises common mode feedback circuit, auxiliary amplifier and main amplifier using fold cascode structure and its biasing circuit. The supply voltage VDD is 1V and VSS is -1V. After the simulation using TSMC 0.18μm process model, the simulation result shows the proposed amplifier achieve about 100.6dB DC gain, 66 degree phase margin,333 MHz unit gain bandwidth, 3.78V differential output swing, 287V/μs slew rate,122.8 dB DC PSRR, 114 dB DC CMRR, 1.6mW power consumption, the input reference noise is about 6nV/√Hz at 1MHz, the Total Harmonic Distortion of this amplifier is less than about 1.05%.The proposed fully differential operation amplifier meet all the specification, and it can be used in some SC circuit applications.
Based on Regression Analysis and Time Series of Shaanxi Province Tourism Trend Forecast Research
Authors: Liang Yue , Xu Wenpei , Zhang Guoli
Published: January 2024

To study the influencing factors and the future development trend of tourism in Shaanxi province, China, this paper analyzes the 12-item index data of the Shaanxi tourism industry from 1990 to 2021, including the Gross Domestic Product (GDP). In this paper, the total income of tourism and the total number of tourists per year are taken as the evaluation indicators of tourism development, and the other 10 indicators are taken as the factors that may have impacts on tourism. First of all, this paper uses Principal Component Analysis (PCA) to screen these 10 variables and finds that the two indicators of GDP and the number of domestic visitors contain more than 99% of the independent variable information. Therefore, this paper takes these two indicators as independent variables, and separately takes the total income of tourism and the total number of visitors as dependent variables to design a multiple regression analysis. Then, the Autoregression Integrated Moving Average (ARIMA) model is established by time series analysis to fit the parameters and forecast the development trend of tourism in the next five years. The result of the model shows that the tourism industry in Shaanxi province is significantly impacted by COVID-19. Finally, this paper puts forward the problems and suggestions from four aspects of ecology, laws, resources, and talents to help the revival and development of Shaanxi tourism in the post-epidemic era.
Application of Machine Learning Model for Predicting Mortality Rate in Heart Failure
Authors: Jia Tianyuan
Published: January 2024

Heart failure is among the prevalent illnesses that can give rise to perilous circumstances. Approximately 26 million individuals experience this condition annually. According to viewpoints of cardiac experts and surgeons, the timely prediction of heart failure remains a highly intricate endeavor. Fortunately, the emergence of categorization and anticipatory models provides a promising avenue for aiding the medical sector by showcasing efficient utilization of medical information. Within this study, the aim is to refine the accuracy of prognosticating heart failure risk by employing datasets derived from clinical records. To achieve this, this paper employs various machine learning techniques to interpret the information and forecast the likelihood of elevated occurrences in healthcare repositories. This study utilizes three distinct machine learning models: decision tree, logistic regression, and random forest to derive predictive accuracies for each model. The outcomes disclose that the decision tree attains the highest predictive accuracy, reaching 88.8%. Moreover, the results and comparative analyses indicate that the present study enhances the precision of earlier heart disease predictions. Incorporating the models presented in this study into healthcare systems has the potential to enable real-time forecasting of heart failure or other medical conditions using data gathered directly from patients.
Analysis of the Principle and State-of-art Applications of Astronomical Telescope
Authors: Lu Zhiyi
Published: January 2024

Astronomical telescopes have been instrumental in enhancing our comprehension of the cosmos since ancient eras. This study explores these remarkable instruments' principles and state-of-art applications, tracing their development from early refracting telescopes to modern space and ground-based telescopes. The primary focus is to analyze the imaging principles of optical and radio telescopes and showcase their significance in capturing high-resolution observations of celestial objects. It also highlights recent achievements made by advanced telescopes, including the James Webb Space Telescope and the Event Horizon Telescope, which have provided unprecedented clarity and insights into distant galaxies, exoplanets, and supermassive black holes. This research presents breakthrough achievements made by advanced telescopes such as the James Webb Space Telescope and the Event Horizon Telescope in revealing distant galaxies, exoplanets, and supermassive black holes. Despite the limitations in astronomical telescope research, such as errors, atmospheric interference, and high costs, the paper emphasizes a promising future. Through technological advancements, international collaboration, and cost-effective space telescopes, astronomical research is expected to make significant progress. In summary, these results provide a comprehensive analysis of astronomical telescopes, enriches the frontiers of astronomy, underscores the importance of international cooperation, and offer essential guidance for the future development of astronomy.
Design And Implantation of An ECG Signal Amplifier and Filter Processing System
Authors: Bai Haoqian
Published: January 2024

As advancements in semiconductor technology converge with the growing focus on cardiovascular diseases, there's a discernible push for Electrocardiogram (ECG) signal monitoring technologies that prioritize reduced power consumption and noise. This paper introduces a front-end architecture for the ECG signal monitoring system, comprising modules for acquisition, instrumentation amplification, and filtering. Given the varied noise profiles in ECG signals, our design harnesses a coupled front-end acquisition, a capacitive feedback instrumentation amplifier with a single op-amp, and uses a chopping technique. This approach primarily targets interference mitigation during acquisition and amplification, all while maintaining minimal power usage. Subsequently, an effective filter circuit tailored is added to remove noise modulated by the chopper. This design refines the ECG system's front-end, minimizing disturbances to subsequent circuits and enhancing the accuracy of the back-end ADC and digital processing part. This bioelectric monitoring system's design, characterized by low power consumption and minimal noise, is also well-suited for portable medical devices.
Countermeasures and Collision Avoidance Operations of Emergency Scenarios in Pilotage
Authors: Liu Xianliang
Published: January 2024

With the development of shipping industry, the complexity of traffic and the demand for pilotage service keeps rising. Necessary emergency measures should be taken to avoid the risks in pilotage. In this paper, the research on typical emergency scenarios of pilotage and corresponding countermeasures are carried out. The pilotage scenarios that need emergency measures are divided into four categories: encountering bad weather, steering engine failure, main engine loss of control, encountering collision risk. The characteristics of these pilotage scenarios and the corresponding emergency pilotage measures are discussed in detail. The research shows that when taking emergency measures in the face of the emergency situation in pilotage, the polit shuold fix out the situation and the ship should be guided out of the danger according to the corresponding emergency process. This paper may be helpful to optimize pilots’ handling of various affairs when emergency occurs in pilotage, and provide guarantee for the safe navigation of ships.
Comparative Research on Diabetes Influencing Factors Based on Random Forest and Decision Tree Models
Authors: Li Liping
Published: January 2024

In tandem with society's rapid progress, the prevalence of diabetes has risen sharply due to factors such as changes in eating habits, bad lifestyle and serious aging problems. Therefore, it is of great significance to forecast the influencing factors of diabetes mellitus. In this paper, the Pima Indian Diabetes data set in UCI is taken as the experimental data, the Random Forest and Decision Tree methods are used for modeling. The effect of these two models is analyzed according to four indicators, comprised of rate of accuracy, ratio of precision, rate of recall and F1-score. The F1-score ratio of the Random Forest model is as high as 79%, while the F1-score ratio of the Decision Tree model is 72%. Hence, the Decision Tree model is slightly inferior to the Random Forest model. Based on the predictive variables selected in this article, the most important predictive variables of the factors causing diabetes are blood glucose, body mass index, age and diabetes pedigree function.
Offshore Platforms: Classification, Technologies, Architectures, and Applications
Authors: Chen An
Published: January 2024

Offshore platforms deal with challenges brought by the marine environment, providing workplaces for oil production, wind energy, and marine research. Offshore platforms play important roles in the ocean development. Although there are still challenges such as stability, control, and sensing technology, offshore platforms hold the potential to further improve their performance and application value with the continuous progress in technology. This paper presents a summary of the present research status within the domain of offshore platform studies, introducing different types of offshore platforms from the perspectives of their applications and basic structures. In terms of technology, this paper presents the technical aspects and architectural framework of offshore platforms. Additionally, the applications of offshore platforms are discussed. Comprehensive analysis indicates that offshore platforms exhibit strong adaptability and stability in marine environments. With the advancement of technologies, the reliability and performance of offshore platform are expected to improve in practical scenarios. This paper may offer a reference for the research of offshore platforms.
The Monte Carlo Simulation of the X-Ray Spectra from the Black Hole X-Ray Binaries
Authors: Tie Xilong , Chen Weiyuan , Chen Chuqiao
Published: January 2024

The accretion mode of the black hole X-ray binaries (BHXBs) during the intermediate state remains unclear as it corresponds to an unstable situation. In order to find possible observable clues of the accretion mode, we describe all the possible cases with the same set of parameters, and compare the differences of the X-ray spectra for different values of the parameters. Since the geometry of the accretion flow is complex, we adopt the Monte Carlo simulations to obtain output spectra. Different to previous study, the thickness of the cold gas, which is usually ignored, is taken into account. It is found that for the cases with small clouds or a large amount of clouds, the influence of the thickness are significant since the area of the side surface are comparable to the upper surface area. For the thermal component of the output spectra, or the multi-color black-body spectra, the range of the spectral index is larger. While for the power-law component due to inver Compton scattering, the flux can be increased by a few times, which means higher cooling rate of the hot gas and shorter duration of the intermediate state.
The Taylor's Theorem and Its Application
Authors: Ma Lin
Published: January 2024

Taylor's theorem is an essential concept in calculus. By constructing polynomials, Taylor's formula can simplify calculations by approximating complex functions so that a variety of functions can be analyzed in detail. This paper explores the form and proof of Taylor's theorem based on Peano and Lagrange remainder forms as well as the Polynomial interpolation. Then, examples of the application of Taylor’s theorem in mathematics fields, such as limit calculation and high-order derivatives computation, are discussed. Additionally, the applications of Taylor’s theorem in other related subjects are examined. Based on the chronological investigation, the Taylor theorem is widely used in physics, engineering, and other fields as a computational tool. The Taylor theorem has gradually been used in machine learning because of the rapid development of computer science in recent years. The purpose of this paper is to summarize the different forms and proofs of Taylor's formula and discuss the development of its application over time.
Principle, Fabrication and Applications of Micro-Nano Fluid Dynamics
Authors: Liu Yinuo
Published: January 2024

A new generation of efficient heat transfer and cooling technologies has been studied by researchers since the 1990s due to the rise of nanotechnology. In 1995, Professor S.U.S. The idea of 'nanofluids' was first proposed by Choi from the Aragon National Laboratory in the United States, which combines nanotechnology with traditional thermal engineering in an innovative way. Enhanced heat transfer is a field where nanofluid technology has broad application prospects and potential significant economic value, and is known as the 'future cooling and heat dissipation technology'. The theme of this article is the principles, preparation processes, and application fields of micro-nano fluids. The research on nanofluids still needs to be carried out. Due to their unique thermal conductivity properties, they can theoretically be widely used in fields such as industry, energy, aerospace, automobiles, air conditioning and refrigeration, electronics, etc. The aim of this study is to examine the heat conduction principle of nanofluids, the basic preparation process, and some applications of nanofluids in the field of enhanced heat conduction.
Prediction of Wordle based on ARIMA and PLS model
Authors: Wang Ziyu
Published: January 2024

Nowadays, the New York Times Wordle game gains much popularity in the United States. In this paper, PLS regression analysis is applied to find 5 potential factors to interpret the independent variable information and obtain the prediction distribution result. Extra features such as time series have stationarity and nouns make up the vast majority of the total are investigated through data mining. It is also found that the fluctuating trend of the number of players is consistent with the infectious disease model. The paper gives a prediction of the population of players that is worth reading for reference and a simple classification method of difficulty of words. The model inferred in the paper is expected to help puzzle editors to give a word of proper difficulty.
Numerical Simulation of Interaction between Kulluk Platform and Laminar Ice
Authors: Liu Yincheng
Published: January 2024

Over the years, the development of the Arctic region has been increasingly emphasized, and the research and development of offshore platforms has become a research hotspot for many countries. Among them, all kinds of platform equipment used in the polar region must consider the special conditions when operating in extreme environments. For the floating ice-resistant marine platforms, the calculation of ice load is of considerable importance and value for the applicability and reliability design. In this article, the Kulluk platform has been chosen for the study. The interactions between the structure and the sea ice, such as collision and extrusion, are numerically simulated through the finite element method. In this paper we will explain how to calculate the ice loads acting on the floating platform and the specific loads. By setting the real scale in the program, the maximum correspondence with the real situation can be achieved. Subsequently, the numerical simulation values were analyzed and compared with the actual situation and empirical formulas to verify the reliability of the numerical simulation. The applicability of the Kulluk platform model to the problem of interaction with the leveling ice has been validated.
Analysis of a Novel Automated Positioning Device
Authors: Dai Wentao
Published: January 2024

As a matter of fact, with the development of science and technology and the advancement of industrialization, automation equipment is more and more widely used in all walks of life, which deep into every link of the production line. With this in mind, whether it is automated manufacturing equipment or home and office automation equipment, they are greatly improving the productivity and quality of life. However, many existing automation equipment still face some challenges in practical applications. On this basis, this study proposed a novel automated positioning devices in order to solve certain limitation issues. To be specific, the innovation analysis and facility fabrication are demonstrated. According to the analysis, it is believed that the new designs will have better ability as well as performance. The possible improvements are also claimed and the further ability enhancements are also evaluated. Overall, these results shed light on guiding further exploration of automated positioning device.
Exoplanet Radio Emission Detection: Principles and Approaches
Authors: Wang Junyi
Published: January 2024

Radio astronomy has emerged as a promising avenue for the detection and characterization of exoplanets, offering unique insights into the physical and atmospheric properties of these distant celestial bodies. This study commences with a historical overview of the early works by Zarka that laid the groundwork for the systematic exploration of radio exoplanet detection. It analyzes the theoretical principles and mechanisms that underpin the generation of radio emissions from exoplanetary systems. Detailed analysis delves into the specific instrumental capabilities of LOFAR, nenuFAR, and FAST, elucidating their respective strengths and limitations in detecting exoplanetary radio signals. In particular, the review points out the sensitivity and frequency coverage of each telescope and their potential to characterize a diverse range of exoplanets. Finally, this paper discusses the future prospects and potential synergies in advancing exoplanet radio detection. It concludes with an outlook on the role of radio astronomy in the exploration of exoplanetary systems and the exciting possibilities that lie ahead in understanding the diversity of exoplanets in the universe.
Study on Factors Influencing the Prices of Houses in California Based on Factor Analysis Method
Authors: Huang Ruijia
Published: January 2024

This research investigates the factors influencing housing prices in California through a comprehensive analysis using the factor analysis method. The study explores various dimensions of the housing market, examining specific periods, environmental factors, transportation infrastructure, gated communities, city formation dynamics, and broader economic and market dynamics. The integration of machine learning techniques for housing price predictions is also explored. The dataset utilized is the "California Housing Prices" dataset obtained from Kaggle, comprising 10 types of metrics for each block group in California. Rigorous preprocessing was conducted, including handling missing values, removing outliers, and normalizing features. The factor analysis identified three significant factors explaining 76.588% of the variance in house prices. These factors represent geographical location, housing size, and population density. The weight analysis further reveals that factors associated with housing size and geographical location significantly impact housing price fluctuations. The findings offer valuable insights for homeowners, real estate professionals, and policymakers, enabling informed decision-making in the dynamic housing market.
Research on Image Up-scaling and Super-resolution Based on Convolutional Neural Network
Authors: Cheng Zongxi
Published: January 2024

Image upsampling and super-resolution techniques are of great significance in many fields, which can improve image quality and enhance information extraction capabilities. Image upsampling and super-resolution techniques have wide applications in the real world, such as image quality enhancement, satellite and remote sensing images, and security and surveillance. This paper describes and analyzes a machine learning approach to up-scaling a low resolution images using Convolutional Neural Networks. We build on previous works on single image super-resolution. We train 3 structurally similar but different models and obtain an improvement of up to 3% compared to the more common image upscaling method, Bicubic Interpolation.
Research on the Basic Principle and Technical Development of the Large Hadron Collider
Authors: Zuo Zizheng
Published: January 2024

LHC (Large Hadron Collider) is a kind of high-energy physics experimental equipment, which consists of a series of superconducting magnets, accelerators and other equipment. It can accelerate charged particles to near the speed of light, and generate and detect new particles in high-energy collisions. This paper introduces the basic principle and technical development research of LHC. Firstly, this paper introduces the basic function and operation mechanism of LHC, focusing on how to accelerate particles to near the speed of light through two stages of linear accelerator and ring accelerator, and how to carry out high-energy particle collision experiments at the collision point. Secondly, in view of the technical challenges of LHC, this paper discusses how to solve the problems of acceleration and focusing of high-energy particles, design and construction of detectors, and maintenance of high vacuum and low temperature environment. Finally, this paper summarizes the influence and achievements of LHC, including promoting the development of particle physics, promoting the development of science and technology and stimulating public interest in science. At the same time, it expounds in detail its important achievements in discovering the Higgs boson and other new physical phenomena and its understanding of the origin and evolution of the universe. In order to contribute to related fields.
Simulation and Algorithm Optimization of a Bismuth-doped Optical Fiber Amplifier for the U-band (1650-1700 nm)
Authors: Li Xinyu
Published: January 2024

Based on the current situation of tightening capacity of fiber optic communication systems, it has become a necessity to find new technologies to expand the range of bands for commercial fiber optic amplifiers. With the research on ytterbium, neodymium, erbium, and thulium ion-doped optical fibers in recent years, the short wavelength region (1100-1550 nm) band of optical communication has been developed, but doped optical fiber amplifiers in the long wavelength region (1650-1700 nm) are still immature. The paper reports the simulation and algorithmic optimization of a bismuth-doped optical fiber amplifier. Referring to the realistic experimental parameters, the theoretical optimal gain of 54.2697 dB was obtained by setting the center wavelength of 1550 nm pump source, 200 mW pump energy, and the center wavelength of 1650 nm signal source. Further, an adapted fiber length of 1 m and a doping concentration of 4.0248×1024 m-3 for the approximate optimal gain were obtained by the optimization algorithm. Moreover, the differences between the two optimization algorithms are compared and the reasons for the differences in the results are briefly analyzed.
A generalization of the Taylor's theorem
Authors: Zhao Junzhi
Published: January 2024

In mathematics, Taylor's theorem is a formula that uses the information of a function to describe its proximity to a point. If the function is smooth enough, the conductive values can be used to construct a multiform to approximate the the function in the neighboring area of that point, which can even be extended to the convergence radius of the scale. Taylor’s theorem also gives the deviation between this multiform and the actual function value. The essay includes the proof and application of Taylor’s theorem and the Taylor’s theorem in multivariate functions. Special functions are set with unknown coefficients to deduce the Taylor’s theorem. Specific questions are solved by using the Taylor’s theorem as some examples. Taylor's theorem is frequently applied in real-world settings to solve problems. For instance, in engineering, it can be used to build a variety of numerical simulations and optimization algorithms. In physics, it can be used to analyze data from physical experiments. In finance, it can be used to manage risk and set prices for financial transactions.
Cauchy Theorem and Cauchy Residue Theorem
Authors: Wei Chenyang
Published: January 2024

Cauchy theorem is widely used in solving analytic function problems in complex variables. It is an important theorem on path integrals of holomorphic functions in the complex plane. In this paper, the main work is about the application of the Cauchy theorem on the integrals which have singularities. The definition of the Cauchy theorem is given and proved by using the green theorem. By using the conclusion of Cauchy theorem, the integrals that have singularities can be solved, and the Cauchy residue theorem is proved. By using the Cauchy theorem, problems such as definite integrals, indefinite integrals, and differential equations can be solved. Some problems in other disciplines can also be solved such as the physics and computer. The Cauchy integral theorem states that if there are two distinct routes between two points and the function is holomorphic on both routes, then the integrals of the two pathways are equivalent.