bluuebunny/crossref_metadata_2025 huggingface dataset:
Flood Risk Identification of Zhengzhou Metropolitan Area Based on Invest Model
Authors: Ma Bingyu
Published: February 2024

Rainstorm and urban flood are always one of the most serious natural disasters in China due to the change of ecological environment, terrain conditions and climate change. Rainstorm and flood disasters seriously threaten the security and development of regional economy and society. Therefore, how to identify the high-risk areas of flood disasters is an important issue to be solved in the prevention of flood disasters. Taking Zhengzhou metropolitan area as the research object, based on the Urban Flood Risk Mitigation module of InVEST model, the vulnerability of flood disaster, the supply capacity of flood regulation service and the supply-demand ratio of ecosystem service in the study area are obtained through analysis, and the areas vulnerable to flood disaster in the study area are identified. The results show that : (1) The flood regulation service supply capacity is mainly manifested in the spatial distribution pattern of high in the west and low in the east. The northern Jiaozuo, northern Xinyang, western Zhengzhou and western Xuchang have higher supply service levels. (2) Affected by factors such as population density, economic development level and land use development degree, there are also obvious spatial differences in the spatial distribution of flood regulation service demand. The high demand area of flood regulation service is concentrated in the central urban area. (3) In areas with low population density and high vegetation coverage, the high supply and low demand of flood regulation services lead to a higher service supply-demand ratio. In the central urban area of the city, due to the large proportion of construction land and dense population, the supply and demand of services is relatively low.
Research on the Realistic Problems and Innovative Paths of College Postgraduate Education in the New Era
Authors: Zhou Rong
Published: February 2024

Moral education is the fundamental task of developing higher education in the new era, which is related to the future and destiny of the party and the country, and reflects the CPC Central Committee's firm determination to attach great importance to education and give priority to education. Ideological education of graduate students is an important part of graduate education, and it is also a key link to implement the fundamental task of cultivating people by virtue. There are many practical problems that need to be solved urgently in the education of moral education for graduate students in colleges and universities. This paper lists some existing problems from two aspects: individual students and school management, and discusses some feasible innovation paths.
Research on Measuring System of Sodium Hydroxide Concentration in Impregnation Solution Based on Ultrasonic Velocity Method
Authors: Cai Changping , Li Jun , Yuan Ye , Liu Chengcheng , Wang Junlong
Published: February 2024

A sound velocity measurement system based on FPGA was designed. The time of flight was calculated by using the wave crest of ultrasonic signal to achieve high precision measurement of sound velocity. The high-speed data communication between field programmable gate array (FPGA) and host computer system is realized by using AN9238, DPRAM and 485 communication port. On the basis of FPGA hardware, high-speed AD chip is used for sampling to complete data storage and processing. The experimental results show that compared with the standard system, the time-of-flight measurement accuracy of the designed system is 0.1㎲, and the measurement accuracy of the solution sound velocity is better than 2 m/s, which verifies the reliability of the scheme.
The Inheritance and Development of Traditional Chinese Flower Arrangement Art
Authors: Xu Jie
Published: February 2024

Influenced by the world's modern art trends, especially abstract paintings and abstract sculptures, the style and techniques of modern flower arrangement have made major breakthroughs, and a hundred flowers are blooming. Free style, abstract style, avant-garde style and various large-scale floral arrangements express the aesthetic taste and ideas of contemporary people. Flower arrangement is developing towards floral content, commercialization and practicality. "From classical to modern" and "from tradition to innovation" are the slogans of today's flower arrangement circle. Modern floral art can reinterpret traditional classical art with novel techniques and concepts, which is the development trend of flower arrangement art education. The value and significance of traditional Chinese flower arrangement art in the new era, the inheritance and development of traditional Chinese flower arrangement art, etc. are explored and explored, and thoughts are put forward on the intangible inheritance, development and promotion of traditional Chinese flower arrangement art.
Research on the Attitudes of Weibo Network Violence Participants on Reversal Events of News —Taking China Jiangsu Cake Shop Event for Example
Authors: Liu Jielin
Published: February 2024

In the era of omnimedia, the online world has formed a new public opinion field where the public expresses their opinions and emotion, accompanied by constant development and evolution of social media, and then, cyber bullying has increased exponentially. Public attitudes towards reversal events news and cyber bullying in the era of omnimedia are deeply explored and analyzed according to the research on typical cases of cyber bullying—“The China Jiangsu Cake Shop Event” in the paper. This event has undergone a process of emergence, fermentation, condemnation, reversal, and sustained cyber bullying, and some netizens played the role of internet violators in this public opinion event. Weibo internet violence participants are interviewed and sampled through semi-structured interviews to study their thinking habits, thinking ways, and behavioral patterns when dealing with online events. Meanwhile, theoretical assumptions about the causes of their behavior are proposed through summarization, so as to further explore the intervention and handling methods of cyber bullying from the perspective of psychological influencing factors.
A study of vegetable replenishment and pricing based on nonlinear programming
Authors: Ye Jinpeng , Ye Weipeng , Liu Gongwen , Chen Xuejun , Huang Yinglin
Published: February 2024

Vegetable replenishment and pricing are the key concerns of supermarket, and accurately predicting the future demand and pricing of vegetables in supermarket is of great significance for supermarket to improve their revenue. This paper predicts the mean and variance of the demand and pricing of each vegetable category in supermarket in the future based on the ARIMA time series and constructs a nonlinear planning model to maximize the revenue. The model yields the optimal demand and pricing for the supermarket for the next seven days, and the results show that the sales of all vegetable categories except edible fungi continue to rise. The results fit the historical situation and the predictions are accurate, which provides a reference basis for the replenishment and pricing of the supermarket.
Moral Dilemma: The Exam Dilemma
Authors: Qin Yifei
Published: February 2024

In daily life, it is widespread for people to encounter numerous moral dilemmas, which is, in fact, a decision-making process—in which people often make different choices for a variety of reasons, making it a "moral dilemma" that is hard to decide rather than a " fact" that everyone agrees on. Thus, a specific moral dilemma (the exam dilemma) is demonstrated: a girl named Lisa found that her best friend cheated in a critical exam while her sister took part in it. The question is whether or not to report the friend, as reporting the friend could cause everyone to retake the exam (which could be harsher). In this case, two experiments are designed to obtain data from different influencing variables, including age, cultural context, marital status, etc. Based on this situation, this article will elaborate on some hypothetical factors and different theoretical perspectives that could be argued to be responsible for the deviation of the results of the two experiments, including (a) Morality as Cooperation; (b) age; (c) cross-cultural effects; (d) Erikson’s Theory of Psychosocial Development; (e) marriage; and finally the aspect of (f) deontology and utilitarianism. This article will analyse what they are from these perspectives and why they can be a possible factor in the final result.
Review of Research on Consumer Behavior of Generation Z: Based on a Systematic Literature Review
Authors: Zhang Xin , Cheng Yijun
Published: February 2024

The young consumer group represented by Generation Z is rising strongly and will have a multi-dimensional impact on the entire consumer market. Therefore, systematically reviewing and analyzing the current research status of domestic Generation Z consumer behavior is conducive to accurately grasping the characteristics and problems, main motives and influencing factors of Generation Z's consumer behavior.
Do social media and Other Platforms Require Greater Regulation?
Authors: Wu Haoyang
Published: February 2024

Social media and other platforms play a crucial role in modern society, influencing information dissemination, shaping public opinion, driving economic activities, and affecting political elections. However, with the rise and development of these platforms, a series of issues have emerged, including privacy concerns regarding users' personal information, platform data storage, platform monopolistic behavior, and abuse of media regulation by both the public and the platforms themselves. This paper aims to discuss the role of social media in the development of media from traditional to digital forms, the existing means of regulating social media platforms, and analyze the monopolistic behavior of leading companies in the platform capitalism context and explore the necessary forms of regulation for social media and other platforms.
Gasoline Engine Inlet Structure Design and Performance Analysis
Authors: Zhang Zeyu , Wang Jiaju , Wang Shiyun
Published: February 2024

By creating a three-dimensional model of the intake pipeline, using AVL software to mesh and virtual simulation experiments, using the control variable method, changing the temperature conditions and pressure conditions one by one to observe the flow of the air pipe and the cylinder, and observing the numerical changes of the flow direction coefficient and tumbling flow ratio, the best solution was found. Through the virtual simulation experiment of the 3D model, the influence of external factors such as temperature and pressure on the air flow in the cylinder is obtained. The relationship between the characteristic parameters of the air intake tract was found through AVL numerical simulation, and the established three-dimensional model could accurately obtain the data after testing, which provided theoretical proof for the subsequent optimization scheme. The experimental results show that the tumbling flow ratio is increased as much as possible without changing the flow coefficient and the fuel economy of the engine is improved. But it also affects the flow coefficient, making it go down. Temperature has little effect on the flow in the cylinder. The flow velocity in the cylinder changes significantly under different pressures, and the area of the vortex area increases.
Analysis of Residual Pressure Power Generation in Natural Gas Pressure Regulating Station
Authors: Wang Fei , Zeng Xueyong , Yang Qianlin , Ji Xiaoke , Xie Juan
Published: February 2024

Turboexpander, placed parallel to the regulator in natural gas pressure regulating station (PRS), was proposed to utilize the residual pressure by engineers and researchers. However, the relationship between the power generated by the turboexpander and the energy used to preheat the natural gas (NG) needs to be carefully analysed. This article estimated the electric power that could be generated using residual pressure based on an actual PRS in China. An analysis model was established to study the relationship between electric power generated by the turboexpander and energy used to preheat the NG. Pressures both inlet and outlet and inlet temperature of the established power generation model were carefully analysed as well as the natural gas hydrate formation temperature. The results indicate that the electric power generated by the turbine expander and the energy used to preheat natural gas decrease as the pressure difference decreases. Most of the energy needed to preheat NG in the procedure of PRS can be obtained through the established turboexpander. What’s more, residual electric power can be obtained when the difference pressure is less than the critical point in which the energy used to preheat NG is equal to the energy generated by the turboexpander.
Switched Reluctance Motor Design and Optimization
Authors: Jia Zejin
Published: February 2024

In the field of electric vehicle engineering, Switched Reluctance Motors (SRMs) are progressively drawing the attention of developers for their streamlined structural design, superior torque output, economical cost-benefit, and excellent energy efficiency ratios. This paper takes a four-phase 8/6-pole switched reluctance motor as an example, with a rated power of 7.5Kw and a rated speed of 1500r/min. According to the basic design requirements of the SRM, the SRM parameter design flow is designed, and a Matlab calculation program is written for the preliminary calculation of the SRM parameters, and the detailed design of its motor structural parameters is carried out. After that, the stator and rotor pole arc coefficients of the SRM are parametrically analyzed using Maxwell2D tool according to the design experience, and the optimal stator and rotor pole arc coefficients are selected. The simulation results show that the design optimization scheme can effectively reduce the SRM torque pulsation.
Research on Pricing and Replenishment Decision of Vegetable Products Based on Optimization Algorithms
Authors: Liu Huan
Published: February 2024

With the improvement of people's living standards, people's requirements for the freshness and variety richness of food are also constantly increasing. Due to the short shelf life of fresh vegetable products, reasonable prediction and formulation of pricing and replenishment strategies have a significant impact on supermarket revenue. This article first cleans the data and uses Excel and Grabbs statistics to determine the missing and abnormal values of the data. The missing values are supplemented by 0, and the abnormal values are determined and eliminated through manual intervention. Conduct descriptive statistics on the preprocessed data to obtain partial data features of categories classified by day and month. Analyze numerical features to determine the distribution pattern of data using monthly classification, and then use SPSS PRO to conduct Spearman correlation analysis to obtain the relationship between vegetable categories. Next, this article quantifies six data indicators, including daily sales volume of each category, average unit price during normal sales, and discount degree. Then, MATLAB is used for regression fitting analysis to obtain the relationship expressions between each indicator and the total sales volume. Excel analysis is used to summarize the data to obtain the available variety information of each item of vegetables in the supermarket from June 24th to 30th, And use Python software to establish a time series prediction model to analyze and process the information of supermarket products, and obtain the demand for individual products on July 1st. Using the single product selected by the supermarket as the 0-1 decision variable, and the total operating profit and supply demand relationship of the supermarket as the dual objective variables, a multiple linear regression model is constructed to obtain the final replenishment policy and pricing decision. The data in this paper is from the National College Students Mathematical Modeling Competition C question.
Air Quality Correlation Analysis Based on Apriori Algorithm
Authors: Yan Shaohui , Kang Shuai
Published: February 2024

In recent years, air pollution has become an environmental issue of global concern. It not only affects human health, but also causes serious damage to the Earth's ecosystem. By analyzing the concentration values of various pollutants in the air and the air quality index (AQI) every hour, the most relevant components to the AQI can be identified. In this paper, Apriori association rule algorithm is applied to correlate various data in air quality monitoring to provide a new reference solution for solving environmental pollution problems in the future.
Research on Application of Environmental Protection Concept in Modern Product Design
Authors: Xia Yuhang
Published: February 2024

The concept of green and sustainable environmental protection is a new design concept based on the value orientation of harmony between man and nature, the main principle of green and low-carbon cycle, and the basic starting point of ecological civilization construction. Its emergence has changed the traditional development of modern products in the past. Through the analysis of the concept of environmental protection and the application of modern product design, this paper understands the design concept and methods, so as to provide practical and feasible methods for the green development of product design.
The Main Experiences and Insights of the "Two Mountains" Practice Innovation Base in Chinese Mountainous Counties
Authors: Wei Lan
Published: February 2024

This study examines the experiences and insights of the "Two Mountains" practice innovation base through a review of the literature, empirical analysis, and on-site research, utilizing Qingyuan County in Lishui City, Zhejiang Province, as a case study. The study examines the interconnected relationship between green mountains and gold and silver mountains within the framework of sustainable development and takes into account the larger context of China's ecological civilization construction. It makes the claim that ecological advantages can be converted into economic advantages. The study summarizes Qingyuan County's experiences and emphasizes how the county realized that green mountains and clear waters alone make up "gold and silver mountains". The county actively looks for ways to turn ecological advantages into financial gains and has established a green industry system based on ecological tourism, industry, and agriculture. Ecological capital is created through this transformation, which makes ecological resources a vital component of the regional economy within the ecological region. The paper talks about the lessons learned and experiences that can be applied to further integrate development and protection, combine substantive operations and reform, and combine model demonstrations with experience sharing.
Research on the pricing and replenishment decision-making problem of vegetable products based on neural networks and grey wolf algorithm
Authors: Ma Binchang , Deng Yufan
Published: February 2024

This article deals with the knapsack problem, where, under real-world conditions, the wholesale prices for the day are not known, and the sales of vegetable products exhibit seasonal patterns. Therefore, this article utilizes an LSTM neural network model to predict the daily wholesale prices. Subsequently, the top 60 projects with the highest profits are selected to create a histogram, and available projects are chosen from these 60.Initially, this article identifies five factors that impact profit and transforms them into positive indicators. Weight allocation is done using the entropy weight method and fuzzy comprehensive evaluation method. The TOPSIS method is employed to obtain composite score indicators for the 60 projects. A linear programming objective function is established, and the results are solved using the Grey Wolf Optimization (GWO) algorithm.
Career Planning: Its Implementation and Impact
Authors: Zhang Yunfan , Perey Gemma M.
Published: February 2024

Career planning initiatives among university and college students stand as pivotal mechanisms for equipping individuals with the essential skills and direction needed to navigate their professional journeys. This study explores the multifaceted landscape of career planning interventions, examining their transformative impacts and the persistent challenges hindering their comprehensive effectiveness. The research delves into the positive impacts, such as enhanced decision-making skills, increased career clarity, job satisfaction, academic performance improvement, and a culture of professional growth and adaptability. However, prevalent challenges, including limited resource accessibility, generic guidance, cultural barriers, practical experience deficits, and misalignment with academic curricula, impede the holistic efficacy of these programs. Recommendations are drawn from these identified challenges to foster a more inclusive and supportive career planning ecosystem. Proposals include enhancing resource accessibility through centralized career resource centers, providing tailored guidance and cultural sensitivity training, expanding practical experiences and networking opportunities, and seamlessly integrating career planning into academic curricula. The study underscores the importance of continuous evaluation and adaptation to ensure the responsiveness of career planning initiatives to evolving student needs.
Research on Corporate Human Rights Due Diligence Duty of Care in the Global Supply Chains
Authors: Zuo Yupeng
Published: February 2024

The U.N. Guiding Principles on Business and Human Rights pointed out that businesses should undertake human rights protection obligations, which often needs to be carried out by the way of civil liability. This paper will take the judicial practice of the U.K. and the Netherlands as examples to reveal the legitimacy of the parent company's duty of care to its subsidiaries under the premise of not applying the system of “piercing the corporate veil” from the perspective of comparative law. The duty of care not only refers to the relevant obligation of parent company and its subsidiary, but also means the same thing of companies in the whole supply chain, the phenomenon reflects a trend that the subjects of duty of care has expanded. On this basis, Article 1165 in the Civil Code of the People's Republic of China could be reinterpreted, demonstrating justificatory basis of the enterprise's duty of care.
Analysis of electronic word of mouth (e-wom), price, and product quality on purchase decisions at skintific
Authors: Dwi Rahayu Putri , Sukaris Sukaris
Published: February 2024

This research aims to analyze and test electronic word of mouth, specifically regarding price and the quality of a Skintific product, in influencing the decision to purchase. Data collection efforts involved distributing questionnaires through the application of Google Forms. The research applied data analysis through validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, and t-testing with the assistance of the SPSS application. The results indicate that the variables of electronic word of mouth and product quality have an influence on consumer decisions to make a purchase. However, the variable of price itself does not have an impact on consumer purchase decisions.
Further exploration on deep learning in flower recognition
Authors: He Xiaoyu
Published: February 2024

Flower recognition is an important research direction in the field of computer vision, and automatic classification of flower images through deep learning methods is of great significance for ecological environment monitoring and plant research. With this background, this study aims to further optimize the existing flower recognition system and improve its classification accuracy by adjusting key parameters. Based on the existing deep learning model and several rounds of training, this paper explores the tuning strategies for parameters such as different learning rates and weight decay to achieve higher recognition accuracy. In the experiments, this paper uses the classical flower dataset and enhances the diversity of the data through image preprocessing and data enhancement. Through a hundred rounds of training, the model in this paper achieves about 80% classification accuracy on the test set, which is significantly improved compared with the initial model. Further analysis of the results shows that by reasonably adjusting the learning rate and weight decay parameters, the model achieves certain improvements in different flower classes, demonstrating the impact of parameter tuning on the overall performance of the model.
Africa wildlife prediction based on custom convolutional neural network
Authors: Li Kezhu
Published: February 2024

In domains like psychology, computer science, and artificial intelligence, facial expression recognition has major ramifications. This paper suggests classifying input animal photos using convolutional neural network (CNN). The CNN layers kernel size has been modified to (2,2), (3,3), (4,4). The primary objective is to examine how the model responds to changes in the CNN layers kernel size and operation. African Wildlife, a data set of four African species, was utilized for the studies. There are 1508 different themes in this collection, divided into 4 groups with 377 photographs each. Different numbers of test photos and training images were used to determine overall performances. The custom CNN model with a kernel size of (3,3) achieved an accuracy of 57.57% on the dataset. According to the experimental findings, having a kernel that is either too large or too tiny may negatively impact the model and result in undesirable poor accuracy. This study could provide suggestions for predicting animals based on the development of convolutional neural networks.
A 6-bit absolute value detector based on MOSFET and PTL structure
Authors: Li Yucen
Published: February 2024

As science and technology develop fast, people nowadays can have an easy approach to various advanced products. The use of Internet of Things has become a reality. To ensure its reliable implementation in daily life, stable and efficient hardware equipment like sensor is essential, where absolute value detector is widely used. A detector is created on the basis of this. The circuit can compare a signed 6-bit number with the threshold of a 5-bit number. This design uses MOS and pass-transistor logic (PLT) structure as the basic parts to form the transcoding logic and the subtraction logic. This paper also discusses the optimization of its minimum latency and energy usage based on logic effort parameters. In order to match a sequence of minimum delays, the article gives various power supply voltages and calculates each schemes lowest energy consumption for each voltage. The reduction of the energy cost is significant, which means the circuit has application value in reality. Besides, the different results are listed in a scatterplot to find out the trend of optimization, which may be helpful for selecting a proper scheme in the real program.
Application of game design pattern: Gradual generation of usable sub-mechanisms from core mechanism
Authors: Huang Kaihe
Published: February 2024

Among the many commendable creations presented by game developers, the design of game mechanics generally shares common components. This observation can also be validated by using some less impressive works as counterexamples; however, there is currently a lack of comprehensive summarization of these systems. Through analysis, this paper extracts the game mechanic design patterns present in these successful games. The paper explores the practical application of a game design pattern that originates from a core game mechanism and progressively generates usable sub-mechanisms. This pattern involves selecting a specific core gameplay element and introducing auxiliary mechanisms to expand its dimensions. Through a systematic exploration of various combinations and interactions, this approach aims to create diverse sub-mechanisms that enrich gameplay and level design. The paper discusses the benefits and challenges of this design pattern and provides illustrative examples.
Prediction and feature analysis of breast cancer based on machine learning technology
Authors: Zhang Haotian
Published: February 2024

Breast cancer, whose incidence rate is increasing year by year, is one of the malignant tumours with the highest incidence rate in women. Every year, an increment of about 1300000 people suffers from breast cancer and 400000 people die from it globally. For the sake of those who may be at risk of breast cancer, it is of critical importance to establish a model that can make predictions of breast cancer. This study utilizes the Random Forest algorithm and Logistic Regression algorithm to construct an analysis model. The study is conducted on a breast cancer dataset that contains data derived from Wisconsin. Specifically, the research conducts feature selection and manages to work out the relationship between various features and tumour types and selects the 5 most significant features. Based on the data of those 5 features, the accuracy of the two models is compared and the Logistic Regression Model is further optimized to reach a higher prediction accuracy. This study is highly significant in the medical community since the model it created can help with breast cancer prediction, allowing for early intervention and a higher survival rate for possible breast cancer patients.
Soccer match outcome prediction with random forest and gradient boosting models
Authors: Meng Xiangkun
Published: February 2024

In order to accurately predict the results of soccer matches, this study introduces Machine Learning (ML) techniques in joint Random Forest (RF) and Gradient Boosting (GB) models. In order to forecast the results of the next World Cup, a model has been trained using past information from prior tournaments. The proposed model is evaluated using multiple performance criteria including precision and accuracy. The RF approach outperforms the GB approach in terms of both accuracy and precision, as concluded after the experiment. The most important features for predicting the outcome of football games are identified using feature importance scores. Football enthusiasts and analysts can use the proposed model to predict the outcome of football games with high accuracy. The implications of these findings for football teams are practical as they provide valuable insights for improving team performance and increasing their chances of winning the World Cup. By identifying the most important features for predicting the outcome of football games, teams can focus their efforts on improving these areas, increasing their chances of success. Football teams and football analysts can benefit from accurate predictions, which are enabled by machine learning techniques such as GB and RFs. Overall, this study presents a promising approach to predicting the outcome of football games, with practical implications for the field of sports analytics.
Research advanced in FL systems based on blockchain
Authors: Wang Bangxiang , Ma Jingjie , Wang Yingruige
Published: February 2024

Federated learning (FL), as an excellent distributed machine learning paradigm, has gradually entered the public eye. FLs purpose is to solve the difficulty of centralized management of distributed data in real life and the prominent issues of data privacy, as well as data security. In FL, the central server distributes training tasks to clients to facilitate the training process. The client trains data locally and only uploads the updated model of local training to the central server, which is able to protect local data security effectively. In spite of that, FL still have disadvantages over high single-point failure, as well as lacking incentive mechanism. Thus, due to excellent decentralized nature of blockchain, a positive and feasible solution appears because of the technology combined with blockchain. In this article, we will introduce FL systems based on blockchain (BFL) and the current status of this field in detail. Specifically, we will first discuss the system coupled structure of BFL. Then, we will provide more details on challenges in BFL and corresponding solutions and explain main applications of BFL in various industries. Finally, we will discuss the difficult problems faced by BFL and give promising research directions in the future.
A study of data heterogeneity in federated learning
Authors: Wang ShiKang
Published: February 2024

Data-driven artificial intelligence algorithms cannot do without large amounts of training data. However, the characteristics of data privacy and decentralization make constructing large-scale training data costly, which restricts the further application of artificial intelligence algorithms in different downstream fields. To address the above problems, federated learning has gradually attracted more and more research interests in recent years, which aims to utilize decentralized private data for model training while preserving privacy. However, the non-independent and homogeneous distribution of data across devices causes federated learning to face problems such as data imbalance and label bias, which in turn affects the generalization performance of the model. The problem of data heterogeneity has become a major key challenge in federated learning, and this paper aims to explore the impact of data heterogeneity on federated learning and to synthesize recent research results in this area. By analyzing different solution approaches from the aspects of adaptive data distribution, adding regularization terms, contrastive Learning, and multi-task learning, a comprehensive overview is provided for researchers. This paper further summarizes the existing challenges of data heterogeneity in the research field of federated learning and discusses its potential development directions.
The prediction and analysis of global climate change based on SARIMA
Authors: Liu Dongyao
Published: February 2024

Global climate change is a significant challenge that the world is currently facing. Accurate prediction of global climate change is essential for environmental protection, agricultural production, and social development. This study explores the utilization of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model for forecasting global climate change. The SARIMA model is a machine learning algorithm that can effectively capture seasonal patterns and non-linear characteristics of climate data. The study initiates by performing data preprocessing tasks, which encompass data cleaning, managing missing values, and converting the data into a suitable format for analysis. The SARIMA model is then constructed, considering the seasonality and autocorrelation of the climate data. Historical climate data is used to train the SARIMA models, which are then utilized to forecast future global climate changes. The predictive performance of the models is evaluated to validate the effectiveness and accuracy of the SARIMA model in global climate change prediction. Experimental results indicate that the SARIMA model effectively captures the underlying patterns and dynamics of the climate data. The accurate predictions of the SARIMA model have practical implications for understanding and forecasting global climate change. These forecasts provide insightful information for policy formulation and decision-making, aiding in the development of innovative strategies to mitigate and adapt to climate change.
Analisa Nilai OTTV (Overall Thermal Transfer Value) pada Bangunan Pemerintahan di Kota Lhokseumawe
Authors: Hasanah Dita , Safyan Yahya Adi , Saputra Eri
Published: February 2024

Global warming and the energy crisis are the biggest problems in the world today, many efforts must be made to avoid them. One of them is by continuing to increase the implementation of energy efficient buildings. In Indonesia, energy-efficient buildings must meet the requirements set out in SNI 03-6389-2020 where the maximum limit for the OTTV (Overall Thermal Transfer Value) value is 35 Watt/m² and has been enforced by the Government from now on. However, these requirements have not been fully fulfilled by investors, as well as planning agencies or consulting units. There are still many buildings whose OTTV value is not yet known. As is the case with the object of this research, namely the Lhokseumawe Mayor's Office building. This research aims to calculate and determine the OTTV value for the research object of the Lhokseumawe Mayor's Office building, so that later it will be known whether the building is categorized as an energy efficient building or not. The research method used is an experimental quantitative method using the OTTV Microsoft Excel spreadsheet calculator from the Ministry of Public Works and Public Housing (BGH-PUPR). The results of this research analysis show that the Lhokseumawe Mayor's Office building has many large openings and has sunlight fenestration, so that the overall OTTV value on the building envelope is below the SNI standard threshold of 35 Watt/m² and can be categorized as an energy efficient building.
Fenomena Pasar Tradisiaonal Rao, Pasaman
Authors: Septrian Rahim Idra , Deni Deni , A Hendra
Published: February 2024

The market is a collection of traders and buyers who meet each other, interact, link each other and create nominal goods or prices in the market. This rao traditional market is also known by people outside of the rao sub-district and even people from the Penyabungan area (North Sumatra) also take the time to come to sell and buy in this market. This market is very crowded especially on Saturdays, because Saturday is a weekday at the market. The rao traditional market is not only known for that, it is also known for providing complete needs for the community. This market is open every day from 06:00 WIB to 18:00 WIB, various types of merchandise that the community needs are in this market, ranging from clothing to food needs available in this market, in a market that certainly has a variety of activities and of course must have a complex space so that activities in the market can run smoothly. This market still has a close bond with the community, the closeness can be seen by traders and buyers who look very familiar, like relatives and even like family.This research aims to find out the attachment of people and places based on experience and explore the phenomena that occur in traditional markets. The method used is a descriptive qualitative method by identifying with interviews, observations. The research uses David Seamon's theory of Phenomenological Perspectives on Place, Lifeworld, and Live Emplacement, the elements examined in the research are Place, Lifeworld and Home.The results of the analysis show that in Rao traditional markets that make them still very much needed by the community because they are able to understand and provide what is needed by customers or the community, the most important thing where in traditional markets prices can be negotiated and have family values. That way people become interested in coming back to the market.
Telaah Arsitektur Eklektik pada Bangunan Masjid Haji Keuchiek Leumiek
Authors: Foenna Fala , Karsono Bambang , Fidyati Fidyati
Published: February 2024

Indonesia is a country where the majority of the population is Muslim, especially Aceh. So it is not surprising that you can find many mosques with magnificent architecture and a great historical background. With globalization, many new architectural styles have emerged, for example eclectic architecture which influences the exterior and interior shapes of mosques. The application of eclectic architecture in the design process by adopting elements that are considered the best originating from local and non-local architecture so as to produce a building model that has its own charm and characteristics. One element of foreign architecture that is now being adopted domestically is Middle Eastern architecture. This phenomenon made researchers interested in conducting research on one of the mosques that displays Middle Eastern accents on its building facade, namely the Haji Keuchiek Leumiek Mosque, Banda Aceh. This research aims to reveal the eclectic aspects of the Haji Keuchiek Leumiek Mosque building, as well as which facade elements adopt Middle Eastern architecture. The method used to obtain data in this research is a comparative-qualitative method. Data collection techniques are carried out through observing the location of the study object, conducting interviews and documenting it in photographs, then comparing it with expert theories to reach conclusions. The results of the analysis show that the Haji Keuchiek Leumiek Mosque was built with characteristics of eclecticism. Middle Eastern architecture and various regional ornamental arts combine to create unique design aspects of the mosque. Awan Meucanek, Bungoeng Meulu, Bungoeng Putik, Sulur Oen Teube, Awan, and Bungong Geulima are examples of local ornaments in mosque architecture. The findings show that when compared with the remains of Islamic dynasties, the architecture of this Middle Eastern mosque is not exactly the same. However, in general, the architectural design of this mosque is very similar to mosques built during the Fatimid and Timurid periods.
Tata Kelola Badan Usaha Milik Desa (BUMDes) sebagai Penguatan Ekonomi Desa Ngingas Kecamatan Waru Kabupaten Sidoarjo
Authors: Putri Rentaulina , Munari Munari
Published: February 2024

Village autonomy government that focuses on the occurrence of development at the village level. Development in the village aims to advance the village based on increasing Pendapatan Asli Desa (PADes). The effort to increase PADes is to establish Badan Usaha Milik Desa (BUMDes) in each village and sub-district. The development of BUMDes in each village and sub-district encourages an increase in village/kelurahan community businesses in managing the village's economic potential. The success of BUMDes depends heavily on how BUMDes is managed so that it can provide benefits to the village/kelurahan. This study aims to analyze the governance of village-owned enterprises (BUMDes) as strengthening the village economy and the contribution of BUMDes to PADes. The method used in this study is descriptive qualitative with data collection using interview techniques, observation and documentation. This research was conducted at the Ngingas Makmur Abadi BUMDes, Ngingas Village, Waru District, Sidoarjo Regency. In this study the data obtained came from the Commissioner of BUMDes, the Director of BUMDes and the people of Ngingas village. The results of this study show that the governance process for the Ngingas Makmur Abadi BUMDes is in accordance with the provisions set by the Ministry of Villages. The implementation of the Ngingas Makmur Abadi BUMDes contributes to Village Original Income from 30% of the distribution of the remaining business results and contributes to strengthening the village economy through employment as community empowerment and supports IKM in Ngingas Village.
¿Para qué sirven las campañas electorales?
Authors: Fernández Mellizo-Soto María
Published: February 2024

Este artículo explora los efectos de la campaña electoral española de 1993 en el comportamientoelectoral siguiendo los antiguos presupuestos de Lazarsfeld y su grupo de Columbia, asícomo los de sus continuadores. Se ha contado para ello con una encuesta de datos de panel conmediciones antes y después de las elecciones. Se han perseguido dos grandes objetivos. En primerlugar, examinar mediante el modelo de activación si el voto (en el plano individual) está influidopor la campaña electoral o si, en última instancia, queda «predeterminado» por las predisposicionespolíticas antes de la campaña, y que se activan durante ella. En segundo lugar, analizar losefectos específicos de la campaña en el voto (los de activación, reforzamiento y conversión), asícomo la interpretación de los indecisos y de cómo fueron activadas sus predisposiciones hacia elPSOE. Este artículo muestra que los desarrollos de Lazarsfeld y su equipo son ciertos para el casoespañol: las predisposiciones políticas que los individuos presentan al comenzar la campaña electoralpredicen con bastante precisión el voto que finalmente emiten. El efecto de la campañaelectoral es, por lo tanto, reducido. Los efectos concretos que se produjeron en la campaña electoralde 1993 consistieron en el reforzamiento de quienes tenían unas preferencias de voto consistentes con las predisposiciones políticas y en la activación de los indecisos. Este último efectofue el determinante de la victoria del PSOE sobre el PP, una victoria que no se recogía en buenaparte de los sondeos realizados entonces.
Influencia de las revistas de impacto en el periodismo científico y en la ciencia actual
Authors: Elías Pérez Carlos
Published: February 2024

En este estudio se ha intentado detectar la influencia de las revistas de impacto, en las quemayoritariamente publican los científicos, en el periodismo especializado y en la ciencia actual.He analizado sobre todo el caso español, pero considero que sus conclusiones pueden extenderseal resto de los países. Al margen de que se demuestra la absoluta preponderancia de revistas comoNature y Science: el 45% de la información sobre ciencia de científicos extranjeros que publicanlos diarios generalistas procede de estas revistas, también se analizan las influencias de la estrategiade comunicación mediática de los gabinetes de prensa de estas publicaciones en la ciencia. Seha estudiado especialmente la preponderancia del idioma inglés y la escasa relevancia del español,así como las consecuencias futuras que tendrá el cada vez mayor impacto de unas pocas revistasen la modificación del método científico en las ciencias experimentales.
Modelos científicos, teoría sociológica y el problema macromicro
Authors: Mayntz Renate
Published: February 2024

Las relaciones metodológicas entre las ciencias naturales y las sociales son objeto de un renovadodebate en el seno de estas últimas. En las dos décadas pasadas, la evolución en las primerasha producido signos suficientes para hablar de la emergencia de un nuevo paradigma que diferiríadel patrón fisicalista newtoniano. Desde la filosofía, la teoría y la metodología sociológica seha abogado para que esos avances de las ciencias naturales tuvieran su repercusión en las sociales.Renate Mayntz dirigió una investigación en el Instituto Max Planck cuyos principales resultadosse reflejan en este artículo. Su ponderación pesimista acerca de las posibilidades de trasvasemetodológico de un ámbito a otro no impide que valore adecuadamente aquellos ámbitos deinvestigación sociológica donde sí se ha dado una influencia metodológica efectiva.
Mầu Nhiệm Nhập Thể: Tình Yêu Trao Tặng
Authors: Nguyễn Trọng Viễn
Published: February 2024

Mầu nhiệm nhập thể là một sự kiện độc nhất vô nhị trong toàn thể vũ trụ. Sự kiện độc nhất ấy dĩ nhiên là một sáng kiến độc đáo của Thiên Chúa, nhưng có lẽ không phải là một sáng kiến hoàn toàn “ngẫu hứng”. Chúng ta cũng có thể khám phá ra nơi ấy một thứ “logic” mà, xét theo một khía cạnh nào đó, có thể nói như một hệ quả đương nhiên, hệ quả đương nhiên của tình yêu. Đó là thứ logic của kiểu yêu thương mang tính chất Thiên Chúa, mầu nhiệm nhập thể thật ra vẫn là đường nét quen thuộc của tình yêu Thiên Chúa: tình yêu trao tặng bản thân.

The Incarnation is a unique event in the whole universe. This unique event is certainly a unique initiative of God, but it may not be a completely "random" initiative. We can also discover in it a kind of "logic" that, in a sense, can be said to be a natural consequence, a natural consequence of love. This is the logic of the kind of love that has the nature of God, the Incarnation is actually the familiar line of the love of God: the love that gives itself.