bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Penggunaan Partograf Digital dan Manual terhadap Pengambilan Keputusan Bidan dalam Proses Persalinan Dimasa Pandemi Rangkasbitung Tahun 2021
Authors: Siswanto Amelia
Published: July 2023

Latar Belakang: Kualitas pelayanan persalinan yang masih kurang terutama pada penggunaan partograf pada persaingan menurut studi kasus yang dilakukan oleh Kementerian Kesehatan WHO dan HOGSI, fungsi mengenai kualitas kesehatan bayi dan ibu tahun 2012 fasilitas pelayanan kesehatan mempergunakan atau gerak pada pertolongan persalinan masih kurang yaitu 45% di Puskesmas 25% di rumah sakit dan 54% klinik bersalin. Kurangnya penggunaan partograf dalam bidang kebidanan serta waktu perekaman pantograf yang efektif sangat krusial hal ini menjadi solusi dalam mencatat partograph.
Tujuan: Untuk mengetahui pengaruh penggunaan partograf digital dan manual dalam pengambilan keputusan bidan pada saat proses persalinan.
Metode: Metode yang dipergunakan pada penelitian ini ialah metode penelitian deskriptif kuantitatif. Instrumen yang digunakan adalah lembar angket. Sampel dalam penelitian ini adalah bidan yang bekerja di klinik, PMB, atau puskesmas. Pengambilan sampel mempergunakan metode total sampling dalam periode Juli – September 2021 terdiri dari 60 bidan. Analisis data menggunakan T-tes.
Hasil: Hasil Uji t antara parograf digital (X1) dengan pengambilan keputusan (Y) memperlihatkan nilai thitung sejumlah -,692 dan ttabel sejumlah 2,944 yang bernilai signifikan sejumlah 0,495. yang nilai signifikansi tersebut melebihi dari tingkat alpha 0,05. Hal ini dibuktikan dengan nilai t-hitung -0,692 dengan nilai signifikansi diatas 0,05. Hasil uji partograf manual memperoleh nilai t-hitung sebesar 28.440 dan t-tabel sebesar 2.052 dengan nilai signifikan 0,000. yang nilai signifikansinya lebih kecil dari taraf alpha 0,05. Hal ini dibuktikan dengan nilai t-hitung 28.440 dengan nilai signifikansi dibawah 0,05. Pengaruh Partograph Digital dan Partograf Manual terhadap Pengambilan keputusan Pada Uji Korelasi Berganda nilai R=0,620. Hasil pengujian F LN diperoleh nilai signifikan 0,000 kurang dari 0,05 dan F-hitung 439,991> F-tabel 3,34 maka H3 diterima dan H03 ditolak, ada tingkat signifikan 0,000 < 0,05
Kesimpulan: Tidak terdapat pengaruh yang signifikan antara partograf digital (PD) terhadap Pengambilan keputusan. Terdapat pengaruh yang signifikan antara partograf manual pada Pengambilan keputusan. Hubungan atau korelasi diantara variabel bebas yang terbagi dari partograf digital dan partograf manual terhadap Pengambilan keputusan memiliki hubungan kuat. Secara bersamaan (simultan) partograf digital (PD) dan partograf manual (PM) berpengaruh signifikan terhadap Pengambilan Keputusan (PK).
Pengetahuan, Sikap, dan Dukungan Suami dan Hubungannya dengan Inisiasi Menyusui Dini di RSUD Budhi Asih
Authors: Hartika Resty
Published: July 2023

Latar belakang: Berdasarakan hasil Riset Kesehatas Dasar (RISKESDAS) prevalensi angka inisiasi menyusuI dini (IMD) di Indonesia meningkat dari 51,8% pada 2017 kemudian meningkat menjadi 57,8 % pada 2018. Namun angka tersebut masih jauh dari target sebesar 90%. 
Tujuan: Untuk mengetahui hubungan pengetahuan, sikap, dan dukungan suami dengan inisiasi menyusui dini di RSUD Budhi Asih.
Metode: Metode penelitian deskriptif analitik dengan pendekatan cross-sectional, jumlah sample sebanyak 40 ibu nifas yang melahirkan normal di RSUD Budhi Asih tahun 2022. Variable yang diteliti pada penelitian ini adalah IMD, pengetahuan, sikap, dan dukungan suami untuk melakukan pengukuran dari penelitian digunakan lembar kuesioner. Tehnik pengambilan sampel purposive sampling, analisis data enggunakan uji Chi-Square.
Hasil: Hasil penelitian dari 40 responden ibu nifas sebagian besar tidak melakukan IMD sebanyak 22 responden (55%), pengetahuan rendah sebanyak sebanyak 21 responden (52,5%), sikap negative sebanyak 19 responden (47,5%), sebagian besar suami yang mendukung sebanyak 23 responden (57,5%). Hasil uji Chi-square Hubungan Pengetahuan dengan IMD diperoleh nilai p-value 0,002 < α = 0,05 sehingga dapat dinyatakan bahwa responden dengan pengetahuan tinggi berpeluang untuk melakukan IMD dibandingkan responden pengetahuan rendah.       Hasil uji Chi-square Hubungan Sikap dengan IMD diperoleh nilai p-value 0,001 < α = 0,05 sehingga dapat dinyatakan bahwa responden dengan sikap positif berpeluang untuk melakukan IMD dibandingkan dengan sikap negatif. Hasil uji Chi-square Hubungan Dukungan Suami dengan IMD diperoleh nilai p-value 0,001 < α = 0,05 sehingga dapat dinyatakan bahwa responden dengan sikap positif berpeluang untuk melakukan IMD dibandingkan dengan sikap negatif.
Kesimpulan: Ada hubungan pengetahuan, sikap, dukungan suami dengan inisiasi menyusui dini di RSUD Budhi Asih Tahun 2022.
Studi Faktor Biaya untuk Dekontaminasi Tapak dan Lingkungan Fasilitas Nuklir
Authors:   Pusat Pengkajian Sistem dan Teknologi Pengawasan Instalasi dan Bahan Nuklir, BAPETEN, Jakarta, Indonesia, Yetta Pandi Liliana , Aji Bintoro , Pramono Judi
Published: July 2023

It's common knowledge that in the event of an accident or security incident at a nuclear installation or radiation facility with high radiology, the site, and environment will be contaminated. This contamination necessitates a clean-up and restoration of the site, which can be costly. This study examines the estimated cost factors that go into site and environmental clean-up, including expenses related to handling contamination, health care costs due to radiation exposure, and secondary or indirect costs. Additionally, the study looks at the social and trust impacts of such incidents. The goal is to determine the factors included in calculating the cost of cleaning and restoring contaminated sites and environments. The costs associated with transporting people and items out of the affected area, accommodations and food, loss of income, lost investments or property, and agriculture and livestock concerns must be considered. Decontamination costs are also a significant factor. Keywords: cost, cleaning, decontamination, recovery, nuclear installation
Hearsay Evidence and Reasons for its Inadmissibility in the Nigerian Adversarial Legal System
Authors: Olarinde E. Smaranda , Idem Udosen Jacob
Published: July 2023

At common law and in Nigeria, hearsay evidence arises where a witness in his own testimony makes a statement, oral or written made by another person who experienced, heard and saw an incident happen in order to establish the truth asserted. Such testimony is generally inadmissible because the informant who witnessed the event is not in court to prove the truth of his statement under oath. This paper examines what is hearsay evidence and further seeks to discuss exceptions to the rule and highlights reasons for its inadmissibility.  The finding of this article is that hearsay evidence is weak and untrustworthy to be relied upon by the court, the same not being a testimony of a person who witnessed the event.  The paper recommends that the Evidence Act be amended to provide for the range of offences that section 37 of Evidence Act can cover apart from exceptions mentioned in Sections 38-45.
Recession of the Rule of Law and Decline of Development in Nigeria
Authors: Jayeoba Ayodeji
Published: July 2023

Development is generally conceived in such narrow terms that its very essence is misrepresented. More often than not development has been reduced to no more than economic development and expectedly, factors affecting development have also been restrictively conceived. This paper attempts to show that there is a direct linkage between the rule of law and development by analyzing how the presence or absence of the elements and components of the rule of law facilitates or impedes development respectively in Nigeria. The methodology adopted for the study is both doctrinal and analytical. The paper concludes that decline of rule of law in Nigeria is one of the major causes of her underdevelopment.
Legal and Institutional Challenges to the Implementation of the R2P Principle
Authors: Onu Kingsley Osinachi
Published: July 2023

The Responsibility to Protect (R2P) is an international legal principle that places both general and customary international law obligation on States to protect their own citizens from mass atrocity core crimes of genocide, war crimes, crimes against humanity and ethnic cleansing. This paper adopts doctrinal research method in examining the legal and institutional challenges to the global implementation of the R2P principle. This paper finds that there exist some teething legal and institutional challenges that affect the effective implementation of the principle.Implementation has been mixed as the case studies shows. Where it had been implemented, as in Libya, the result was quite limited while in situations where it has not been implemented at all, as in Syria, it calls to question the genuineness and integrity of the legal, political and moral commitment of the international community of States to end atrocious crimes in many troubled regions of the world.Conclusively, the R2P principle is an emerging customary rule of international law but has yet to attain full status of “jus cogens” peremptory norm of international law.The paper therefore recommends that an advisory body be established by the United Nations to advise States on the limitation of the R2P principle. It is also recommended that building institutional capacity and preparedness by States backed by greater cooperation between States, the international community and international organizations to implement the R2P principle is central to guaranteeing an effective R2P regime that is properly implemented in a timely manner. It also recommends measures to remove the legal and political uncertainties surrounding the outer bounds and limits of the principle arguing for inclusion of environmental crimes and natural disasters as grounds for invocation of R2P.
Customary Practices and the Conflict with Law: Case Study of Marriage under Selected Native Laws and Customs in Nigeria
Authors: Omotuyi Opeyemi Yetunde
Published: July 2023

Customary law is recognized as an integral part of the Nigerian legal system. Consequently, several enactments, such as the Marriage Act, Matrimonial Causes Act and Evidence Act, inter alia, identify the existence of customary law marriage in Nigeria. Even though the features of customary law marriage differ from one community to another, it is characterised by basic features whichshare peculiar similarities across various communities. Similarly, there are several practices and procedures peculiar to customary law marriage in Nigeria; these practices and procedures differ from one place to another. Even though customary law is described as a law which is generally accepted by a community as binding on them, it is noteworthy that such law is sometimes irrational, and may not always serve the best interest of society as a whole. Often times, it may be of interest to a particular group in the society at the expense of subordinating another group. This article explores some of the customary laws and practices of marriage in Nigeria. In so doing, it identifies those areas where the interests of one societal group are promoted at the expense or detriment of those of another group thereby, conflicting with major statutory provisions in Nigeria, as well as provisions of international Conventions to which Nigeria is a signatory.
Online Shopping Consumptive Behavior Of Teenagers In The Perspective Of Imam Al-Ghazali
Authors: M Nurhikmah , Casmini
Published: July 2023

This study discusses online shopping consumptive behavior using the literature review method, by collecting data from several documents in the form of books, articles and other literature relevant to the topics discussed. The results of this study indicate several factors that lead to consumptive online shopping behavior among adolescents, namely the flow of globalization, psychological development, peer influence, permissive parenting and family socio-economic levels, and low self-control. The consumption patterns that occur in online shopping consumptive behavior among adolescents in Al-Ghazali's perspective are very far from Islamic values ​​which aim to achieve falah and maslahah. Teenagers in fulfilling their needs only follow their desires without any consideration in the ownership of goods or the use of services that are goal oriented to their creation as servants and caliphs on earth. So that the online shopping consumptive behavior of teenagers is not in line with the principles of simplicity and the principles of moral ethics in Islam which lead to tabzir attitudes.
Restoration Education Efforts In India
Authors: Desai Narayan , Gole Prakash
Published: July 2023

Ecological Society in India is focused on education and community involvement in restoration efforts in the Panshet watershed area. They use various methods to educate different groups, including organized eco-tours, seminars, and courses for undergraduate students and government officials. They also use the Panshet project site as a research site for these educational programs. The goal is to promote the importance of restoration and sustainable use of natural resources.
Research of the Influencing Factors of Mental Health Status of Students in Leeds-based on the 2019-20 Student Health and Well-being Survey
Authors: Wang Jianming
Published: July 2023

The mental health of teenagers is an important topic in public health, and it is necessary to pay attention to the mental health of students in school. This paper is based on the results of the 2019-20 school student health and well-being survey in Leeds, UK, aiming to explore the potential factors affecting the mental health and life attitudes of school students. The survey involved 5,307 students from 37 different schools in Leeds, of which 4,297 of them were valid. Set 80% of the valid survey results as the training set and the other 20% as the test set for multivariate logistic regression analysis (MLR) and model construction, and try to predict students' life attitude with the model to reflect their mental health status. The variables involved mixed aspects of sexual orientation, grade, alcohol consumption, drug use, smoking, self-harm behavior, participation in physical education courses, sexual behavior and so on. The results showed that daily drinking (OR: 4.498, 95% CI: 1.53-13.226) and self-harm (positive OR: 0.446, 95%CI: 0.381-0.522; negative OR: 1.252, 95% CI: 1.023-1.533) seriously harm students' mental health. Physical activity (positive OR: 1.422, 95% CI: 1.234-1.638; negative OR: 0.625, 95% CI: 0.509-0.768) and no smoking (positive OR: 1.374, 95% CI: 1.128-1.675) are conducive to maintaining a positive attitude towards life. Senior students are more likely to have a negative attitude towards life, and heterosexual (positive OR: 1.515, 95% CI: 1.113-2.061) students tend to hold a positive attitude towards life.
Research on China's Education Poverty Alleviation Policy
Authors: Ji Hongyu
Published: July 2023

In the new generation, China has implemented the "Socialist Poverty Alleviation" strategy, characterized by Chinese features. In this phase, it is essential to reduce poverty by educating people, and it is also the basis for achieving the goal of reducing poverty. The policy has effectively solved the issue of the prevalence of poverty in low-income families. This study analyzes Chinese poverty-relief policies and reviews the residual shortcomings of implementing these policies. At last, it is recommended that China takes measures to reduce education poverty in China to improve national education and advance social equity. Based on the theory of harm policy, this article proposes several methods and recommendations to enhance the precision, effectiveness, and science of reducing education poverty. For policymakers, it is necessary to recognize the social constructiveness of poverty, pay attention to the reform of school education structure, and create favorable conditions for "poor families to bring out rich children" through the structural reform of the education supply side.
Research of English Teachers’ Teaching Strategies under a Key Competencies’ Context in China
Authors: Ma Zhaolongxuan
Published: July 2023

Since the OECD proposed introducing the concept of "key competencies," the term has been much debated by educational researchers and widely utilised in education worldwide. The researcher aspires to identify the teaching strategies of English teachers in China under a 'key competencies' context. This article first introduces the formation of the "core literacy" system and the process of its chinisation (practising a global concept to Chinese policy). Then it analyses the problems that exist in English language teaching methods in China. Subsequently, it explores the guiding role of 'key competencies' for modern English teaching from the shallow to the deep. After reviewing, the researcher finds that students’ lack of motivation to study and the deficiency of teaching methods are key problems to apply key competencies in English teaching, school managers’ lack of attention for schools and teachers to the application of key competencies is also remarkable. Based on the problems existing, the researcher proposes to contextualize the course content to develop students' language skills, enhance thinking orientation and lead students' quality of thinking and strengthen interaction and communications to activate cultural awareness.
An Analysis of the Impact of Undergraduate Education on Students’ Physical and Psychological Growth in China
Authors: Shangguan Meixiao
Published: July 2023

With the gradual popularization of higher education, the influence of undergraduate education on students' physical and mental development has aroused more and more attention. It is found that students' physical and mental condition is closely related to undergraduate education and has a significant influence on it. Hence, it is vital to explore the relationship between these two variables. But these potential effects have not been published in detail and systematically by some researchers. Based on the literature analysis method, this paper mainly starts with the current situation of undergraduate education in China. It first analyzes the four main parts of Chinese education, then analyzes the positive and harmful influence on students caused by these parts, and finally puts forward suggestions for future improvement. The research significance of this paper is that it hopes to provide some improvement measures for university education in China, so as to make college students get better physical and mental development.
Analysis on the Current Situation of Death Education for College Students in China
Authors: Yang Yue
Published: July 2023

A person's life is like a book, with birth as the cover and death as the back cover. People can't change the cover and back cover, but the stories in the book can be written freely. Birth, aging, illness and death are unchangeable natural laws, but people can choose what attitude to face. The development of death education can guide college students to treat life and death correctly, understand the value and significance of life and death, and face life better. This paper analyzes the present situation of the development of college students' death education in China through literature analysis, and puts forward some suggestions to promote the development of death education in China, so as to provide reference for further research and the formulation of relevant policies. It is necessary to carry out death education from the following three aspects: the government should improve relevant policies; universities should establish a death education system; and society should build a good death education environment.
Research on the Current Situation and Countermeasures of Life Education for Chinese Primary School Students
Authors: Huang Kaiyan
Published: July 2023

In recent years, various problems in life education for primary school students have become increasingly prominent. There have been a number of tragic events involving minors that could have been prevented were students more aware of themselves and their physical and psychological connection to society as a whole and therefore other lives around them. This paper mainly discusses the life education of primary school students, which is of great significance for their physical and mental growth and overall development. For the purpose of this research, the author has used a literature analysis method and has drawn on previously published work to aid in the research for this paper. The author has discovered some problems through this research. The educational methods and environment of many families are not conducive to the development of life education. Schools do not pay enough attention to life education and lack resources. Poor social values in society and adverse factors in the network have a negative impact on life education for primary school students. The author also has put forward some suggestions. It is necessary to enhance the awareness of life education among educational subjects and create a good environment for life education. At the same time, it is also necessary to expand the content and form of life education, strengthen the training of teachers, and establish a complete teaching evaluation system.
Existing Problems and Solutions of Senior Living
Authors: Xi Xiaoshu
Published: July 2023

Aging is a serious problem in the world. How to support the elderly has become the hottest topic nowadays. In many cases, children simply do not have the time or energy to take care of their parents when they are sick. And many older people have no children to support them. The truth of the matter is that taking care of oneself in old age is not an easy thing to do, as is known to everyone. For the elderly to be able to meet their daily needs, they need to be able to have a caregiver who can assist them on a regular basis so that they can take care of themselves on a day-to-day basis. Going to senior living is an excellent way to care for the elderly. Old people can be taken care of and enjoy their old age in senior living. But there are also doubts about the quality of life for the elderly that reside in senior living facilities.
Preface: 4th International Conference on Education Technology and Social Science (ETSS 2023)
Authors: Gibbon Melissa , Deng Hui
Published: July 2023

It is our great pleasure to welcome you to 2023 4th International Conference on Education Technology and Social Science (ETSS 2023) which was held in Tianjin, China during June 10-11, 2023. This conference is devoted to the education technology, sports science, art design, management engineering, and social science. It is an opportunity to academics, scientists, engineers, researchers, and users to discuss, to present and to assess the results of their research work on recent developments and their different applications for social science.

With a solid reputation, ETSS 2023 is where you will meet and network with education leaders, business innovators, researchers, academics, and policy makers from across the globe. We believe that face-to-face communication is of great essential. The proceedings present a selection from papers submitted to ETSS 2023 from universities, research institutes and industries. The papers selected depended on their quality and their relevancy to the conference. The volume tends to present to the readers the recent advances.

We would like to thank all the authors who have contributed to this volume and also to reviewers, speakers, chairpersons, sponsors and all the conference participants for their support to ETSS 2023.

Organizing Committee of ETSS 2023

Tianjin, China
Reactive Power Optimization of Power System Based on Particle Swarm Optimization Algorithm
Authors: Liu Zhanpeng , Wei Xuzhao , Wu You
Published: July 2023

With the popularization and development of the Power System (PS), the power factor and stability issues of the PS are becoming increasingly prominent. The Reactive Power (RP) in the PS has a significant impact on system stability and efficiency. Therefore, how to optimize the RP in the PS, improve power factor and stability, has become one of the research hotspots in the field of power. This paper aims to solve the problem of RP Optimization (OPT) in PS, and optimize the size and distribution of RP by using particle swarm OPT, so as to improve the stability and efficiency of PS. Through experimental testing, it was found that the Algorithm (ALG) has good performance in RP OPT problems and has great potential for application in PS OPT. The experimental results show that among these five sets of results, the value range of objective function 1 ranges from 156.75 kW^2 to 162.46 kW^2, indicating that different RP compensation capacities have different effects on the magnitude of RP loss.
Asteroid Mining research based on the Global Equity Evaluation Model
Authors: Zi Chenyi , Cai Mingchen
Published: July 2023

With the aggravation of the imbalance in world development, people pay more and more attention to global equity. In general, global equity means that the fruits of development are shared by all mankind, and the development gap between countries is reasonable, so that people of all countries can enjoy stability and happiness. Based on the principle of global equity, this paper further studies the problem of asteroid mining. First, we established a global equity evaluation model (two-level) model, which calculates development indicators from economic, scientific and technological, cultural, social and other aspects, and uses analytic hierarchical process (AHP) and entropy weight method (EWM) to determine the dimensions and weight of indicators. We then describe our vision for asteroid mining. Based on the premise that asteroid mining is managed by a unified department, an asteroid mining allocation model (three-level) is established, using the ARIMA model to predict the data, using AHP and EWM to define the weights to reflect the impact of mining on global equity. In the end, we discuss the strengths and weaknesses of our models, leaving room for further studies.
Research on component analysis and identification based on clustering and prediction model
Authors: Wang Tonghao , Xuan Jian , He Nanxiang
Published: July 2023

To better study the ancient relics of glass types and content of chemical composition, this article first USES no sequence grey prediction model to predict and distribution rules of cultural relics of the weathering before chemical component content, and then USES the K Means clustering will classify glass, finally set up the BP neural network model, based on the experimental data respectively set up the training set and validation set, Predicting the type of glass artifacts. It solves the problem of composition analysis and identification of glass cultural relics.
Decision models for sustainable development goals based on a relational network approach
Authors: Wang Junxiang , Cao Yuxuan , Shu Xiaoqi
Published: July 2023

The interrelationship and prioritisation of the 17 separate Sustainable Development Goals(SDGs) will greatly influence the overall SDGs development agenda. The models developed in this paper quantify the influencing factors of SDG, resulting in a relational network and priority ranking that can make predictions about future development. The models all perform well through fit testing and can be used to propose relationships between company’s and organisation’s development goals and to suggest a priority development order.Based on the Sustainable Development Goals Index (SDG-I) published by the United Nations, a network model of SDG relationships was developed through Spearman correlation analysis. An ARIMA model was constructed using time series predictive analysis on the basis of the SDG relationship network model.A revised model of SDG relevance was developed based on improvements to the SDG relational network model and a proposal to introduce mental health as a new SDG was made.
Research on the development strategy of Worlde based on ARIMA time series and mean expectation model
Authors: Li Zehao , Lin Nianxu , Zou Ruibin , Liang Zhenwen
Published: July 2023

This paper mainly studies the important role of the percentage prediction of the number of users and the number of word-filling attempts of Wordle game in the future development strategy. The purpose of this article is to research and develop two mathematical models of Wordle game, one of which is the prediction model of user volume and the other is the percentage prediction model of the number of word-filling attempts. The fitting effect is very good, and the result is R2=0.984. By quantifying specific letters at different positions in a word, it is found that the proportion of difficult modes has a direct impact on specific positions and specific letters. Secondly, for the second model, the proportion of each corresponding variable is obtained through comprehensive evaluation and analysis by using the mean expectation model for the percentage of the predicted number of attempts. The average variance formula is used by calculating the average of the relevant percentage of each characteristic value under the corresponding number of attempts. The relevant percentage distribution results of "EERIE" (1, 2, 3, 4, 5, 6, X) are (1.20%, 16.01%, 28.31%, 27.83%, 18.16%, 5.81%). Through the analysis of variance, the P value is less than 0.05, and the prediction result of the model has high confidence.
Evaluation Model Based On Optimized EWM Identifying Light Pollution
Authors: Xie Hengzhi , Jiang Mingxuan , Wang Zihao
Published: July 2023

Light pollution has negative impacts on wildlife, human health and the environment, disturbing the natural darkness of the night sky. However, there lacks an objective and feasible method measuring the risk level of light pollution. Therefore, we establish a mathematical evaluation model based on the integration of optimized EWM and TOPSIS to measure the light pollution of representative locations. According to the results, we conclude that the risk level of light pollution is positively correlated to the prosperity of commerce.
Prediction of Scrabble game players based on ARIMA and Machine Learning under big data
Authors: Lu Xinhua
Published: July 2023

Wordle is a favored puzzle. Firstly, to predict its daily player count, based on analyzing the inherent trend of the data and verifying its stationarity, the effectiveness of using the ????????????????????((2,3,5),2,(2,3,5)) model to predict the number of reported results is proved. Before predicting, this thesis preprocesses the data from two parts: Number of reported results and Number in hard mode. Then, the 95% prediction interval for March 1, 2023, is [8626 16199]. Secondly, to predict the distribution of reported results percentages, this thesis uses 7 random forest regressors, their feature variables have 5 dimensions (Contest number, Frequency of word, Number of repeated types, Number of letter types, Maximum number of repetitions), and the response variable takes one of the percentages (7 dimensions) in turn. Results show that the distribution of reported results percentages of “SALSA” on March 1,2023 is [0, 2, 15, 35, 31, 15, 2].
Data prediction model for Wordle software based on regression analysis and SVM classifier
Authors: Guo Yanlu , Wang Jiaqi , Liang Peilin
Published: July 2023

The field of gaming is an emerging field that receives a lot of attention nowadays, so its good development is important for the economy and society. In order to solve the potential problems of game development, this thesis collects the total number of users playing Wordle game, the difficulty of words and the number of attempts for the past 12 months, firstly pre-processing to eliminate the abnormal data, then using SPSS software to analyze the data from regression model and SVM model, using its dichotomous method to accurately fit the data, relying on the regression model The prediction model of the total number of users playing the game was established based on the principle of regression model, while the concept of SVM classification model was used to define the difficulty of the words of the Wordle game to establish the prediction model of the number of attempts per day for the users, and then the trend of the number of users and the number of attempts per day could be grasped through the two prediction models. Thus, Wordle game operators can take corresponding measures to maintain the game's popularity and ensure the number of users per day, which can help the game operators to generate more economic benefits.
Research on the Influencing Factors of Cancellation of Hotel Reservations
Authors: Lin Yaqi
Published: July 2023

Booking hotels online is now a very common way for people to travel and stay, but a large number of cancellations due to itinerary changes and other factors can have a big impact on hotels, such as losing customers who really need a certain room type and losing them to other hotels. In order to reduce hotel losses, this paper uses the data of two hotels through data published on Kaggle's official website, identifies the factors that have the greatest impact on hotel cancellations through EDA visualization, and gives improvement measures. Machine learning algorithms are then used to guess whether the customer will cancel the booking. Each algorithm has its own area of expertise, so this article makes a comparison to the performance of decision trees, logistic regression, random forests. The result is that random forests have the highest accuracy and hotel managers can use the model to predict and change business strategies to increase profits.
Research on the Influencing Factors of Consumer Buying Behavior
Authors: Cai Jiaqi
Published: July 2023

Today's businesses depend greatly on the buying habits of its customers. Understanding consumer behavior is essential for businesses to optimize their marketing strategies and boost customer satisfaction in today's fiercely competitive industry. This study examines customer personalities and their influence on purchasing behavior by using the purchase histories and demographic information of 2,240 clients. 10 research sources from Google Scholar are used to analyze the key factors that affect consumer behavior and the effectiveness of different clustering algorithms in identifying distinct customer groups in order to improve the accuracy of the study. The study emphasizes how important lifestyle, psychographic, and demographic characteristics are for affecting customer behavior. Businesses may better understand their clients and create marketing strategies that are tailored to their requirements by utilizing these characteristics. The work also raises the possibility of using clustering techniques to improve marketing efforts and increase client loyalty. Businesses may more effectively target their marketing efforts and boost customer satisfaction by categorizing customers into several categories based on their preferences and behavior patterns. As a result, this research offers insightful information about customer purchase habits. Businesses may better understand their clients and target their marketing initiatives to fit their demands by employing demographic and behavioral data. In doing so, companies may boost client pleasure and loyalty, eventually leading to long-term success.
Liner Regression to Predict World Cup
Authors: Deng Jingzheng
Published: July 2023

The 2022 World Cup competition has come to an end. The winning team is not the most expensive team. In order to study the relationship between team strength and average worth, this paper uses the linear fitting method to analyze the two. Team strength: We can derive a relatively fixed strength based on the team's ranking in the world. This fitting has achieved certain results. There is a certain linear relationship between the two. The predictions speak to a team's long-term strength. To understand the relationship between the two, we need to collect data from Kaggle to come up with a more accurate ranking. The author used some preliminary data to analyze the strength of each team. Then match their ratings to their worth. Preliminary linear fitting is carried out first. With such a linear model, we can get the approximate level of a team's worth and their winning percentage after many games.
A Presentation of Structures and Applications of Convolutional Neural Networks
Authors: Bai Minghao , Li Muxian
Published: July 2023

This paper reviewed the history of convolutional neural networks, why and how they developed, and what inspired the scientists to design them. To make CNNs simpler to understand, we wrote about their characteristics and structures while introducing the basic units of convolutional neural networks, including training and modeling parameters and how they would affect the confidence and efficiency of the whole process, different kinds of layers and how they work, multiple pooling methods and loss functions with their formulas. This paper also included applications of convolutional neural networks in computer vision and natural language processing while specifying and analyzing the technologies in use to clarify this introduction. Challenges and future research directions of the convolutional neural networks were pointed out to help refine this technique.
Study of clinical experiments of novel sedative drugs based on chi-square test and logistics regression model
Authors: Wang Hongye
Published: July 2023

Local sedation and analgesic drugs are often indispensable in medical trauma surgery. They can not only assist doctors to complete the operation, but also greatly reduce the pain of patients. Therefore, constantly looking for better effective sedative drugs is an extremely important field in medical research. For the new sedative drug "R drug", this paper uses the data analysis of patient intraoperative and postoperative adverse reactions, patient vital signs, patient satisfaction and related problems to establish an appropriate mathematical model and evaluate its clinical efficacy. First, Data cleaning was performed on the data[1], Quantification and normalized dimensionless pretreatment; Next, We calculated K2 values using the chi-square test and Yates's correction, By comparing the K2 values to the standard values, Then to judge whether there are significant differences between each index; Then, When predicting adverse reactions, we used a logistics regression model to predict the probability that each reaction may occur, The accuracy of the model is tested by the heat map of the confusion matrix and the ROC curve; Last, We performed the data analysis of each index in 0-5 minutes, By mapping the nuclear density of the different indicators under the B and R drugs, Mann-Whitney U test using independent samples, P values were calculated to determine whether the new drug group and the original drug group showed significant differences in vital sign data.
Quantum simulations with cold atoms: Fundamentals, advances, and outlook
Authors: Guo Chenxi
Published: July 2023

Since the first proposal of quantum simulation by Richard Feynman in 1982, multiple platforms have been explored to probe the behaviour of subatomic particles, exploiting the intrinsic nature of quantum systems. As one of the most promising candidates to realise large-scale simulation, quantum simulators with ultracold gases have attracted unprecedented attention. Featuring novel detection possibilities, a high degree of controllability and the extreme physical parameter regimes that can be reached in these ‘artificial solids’, quantum simulation with ultracold atoms has progressively matured to the point that it can be used to study exotic quantum phenomena. This review presents the theoretical fundamentals and recent advances in related technology and offers comment on future directions.
Application of Big Data Technology in Intelligent Decision-Making of Public Policy
Authors: Ding Sizhe
Published: July 2023

For the analysis of the application effect of public policies in life, this paper uses big data technology to conduct in-depth understanding and analysis. Firstly, use big data analysis technology to build a more comprehensive, scientific and reasonable evaluation index system; Secondly, based on the concept of "whole process equilibrium", all primary indicators are given equal weight, and the improved group G2 model is constructed based on the expert assignment interval to solve the weight of each secondary indicator; Finally, according to the evaluation results, the application of big data technology in public policy aided decision-making analysis is realized
Hardware Architectures of FPGA-based Accelerators for Convolutional Neural Networks
Authors: Lai Yilin
Published: July 2023

Convolutional Neural Networks (CNNs) have been widely used in Artificial Intelligence applications due to their unsupervised feature, which automatically identifies relevant features without human intervention. Outperforming power-hungry GPUs and inflexible ASICs in lightweight CNNs, FPGAs serve as a promising platform on balancing peak performance, energy efficiency and flexibility. In the last decade, several frameworks have been proposed to optimize the global performance of CNN on hardware platforms. This paper presents a survey on hardware architectures generated by various software frameworks designed for mapping CNN on FPGAs. Classic architectural cases of the streaming architecture and the single computation engine from traditional CNN-specific processors to end-to-end mapping using High Level Synthesis (HLS) tools which emerged in recent years are carefully analyzed in a sequential order. Moreover, adaptability of existing frameworks to upcoming challenges and future directions of FPGA-based CNN accelerators are identified, providing an in-depth evaluation on the topic of hardware architectures of FPGA-based CNN accelerators.
Advanced Solar-Powered Fire Detection System: A Wireless Sensor Node Approach to Early Warning and Forest Fire Prevention
Authors: Zheng Xuanmin
Published: July 2023

This article presents the design and implementation of a solar fire detection system using a Wireless Sensor Node (WSN). The system incorporates a temperature sensor, Bluetooth module, and intelligent battery charging management to provide real-time monitoring and early detection of forest fires, while also ensuring energy conservation and battery protection. By employing a DC-DC converter, the system maintains a stable 9V supply to the Arduino board under various power supply conditions. The integration of the temperature sensor and Bluetooth module enables accurate temperature data transmission to mobile or computer terminals for real-time monitoring. The energy-saving and battery protection features optimize charging cycles and prolong battery life, contributing to environmental sustainability and enhanced safety for communities at risk. The successful testing of the system demonstrates its reliability and potential as an effective early warning system to combat the devastating effects of forest fires.
Analysis of the safety impact of mobile rail hydraulic spreader on residential building machines under the system of building machines
Authors: Luo Fajiang , Xu Guangxing , Li Shiwei , Meng Zhaohu , Ren Chunfeng , Li Yan , Han Guangzhao , Yang Rong , Gao Jinliang , He Bin , Wang Chengrong , Jiang Hao , Zhang Xuemei , Jiang Xuezhi , Luo Ding , Zhang Lidong , Li Longfu , Ye Lei
Published: July 2023

The construction industry in China is a labor-intensive industry, but the cheap labor force has begun to change in recent years, with labor costs rising. In some labor exporting provinces, there has even been a "battle for talent.". Based on this, the "14th Five Year Plan" construction industry development plan issued by the Ministry of Housing and Urban-Rural Development proposes to accelerate the coordinated development of intelligent construction and industrialization of new buildings, and promote digital design, intelligent production, and intelligent construction. With the continuous progress of science and technology, the construction industry has also made many technological innovations, and innovative changes have taken place in related technologies. The residential building machine has begun to replace the traditional climbing frame application. Through gradual improvement, the lightweight building machine applicable to this project is only 220T, and the combination of spreader and building machine makes the concrete pouring process more convenient and intelligent, significantly reducing the labor intensity of construction personnel. Based on this, the analysis of the impact of mobile rail hydraulic spreader on the safety of residential building machines is a key factor.
ABAQUS-based hysteresis performance analysis of thorough-diaphragm bolted connection between concrete-filled steel tubular column and steel beam
Authors: Liu Houhua , Shen Junyang , Wang Peiwen
Published: July 2023

Concrete-filled steel tube can effectively improve the compressive strength of members, so it is widely used in high-rise buildings, bridges and tunnels. However, there are only limited studies on the hysteresis performance of through-diaphragm plates in steel pipe concrete. In light of the current situation, this paper establishes a model of thorough-diaphragm-diaphragm bolted connection TDBC structure using numerical simulation software ABAQUS, conducting monotonic loading and cyclic displacement loading on it to study the hysteretic performance of this structure. The results reveal that the semi-rigid connection of TDBC contributes to the outwards displacement of the plastic hinge in the beam-column joint, indicating a hysteretic good performance. Furthermore, this study also finds that the flange and web area of steel beams present obvious ductile damage characteristics, which is in line with the design philosophy of strong joints and weak members, reproducing the actual damaging process to a certain extent.
An Investigation into the Composition Analysis and Identification of Ancient Glass Artifacts
Authors: Wang Lianjie
Published: July 2023

This study employs association analysis and chi-square tests to examine the relationship between weathering and glass type, color, and patterns in ancient glass artifacts. The findings reveal a stronger association between lead-barium glass and weathering, with weaker associations for color and patterns. Combining both methods demonstrates that glass type exhibits the strongest correlation with weathering, followed by color, while patterns remain unrelated. Utilizing kernel density plot analysis, the research investigates variations in chemical composition pre- and post-weathering, predicting component content before weathering. The classification of glass is based on intrinsic and extrinsic characteristics, highlighting notable differences in potassium oxide, lead oxide, and barium oxide between high-potassium and lead-barium glass. Scatter plots further illustrate these compositional disparities. Applying a decision tree, glass is classified according to patterns, color, and surface weathering, determining the influence of various factors. Hierarchical clustering is then used to categorize chemical compositions, identifying five categories for lead-barium glass and nine for high-potassium glass.