bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of ARIMA and BSTS Models for Electricity Price Forecasting in Major West Coast Cities
Authors: Zhang Ziyang
Published: June 2024

This study presents a detailed comparative analysis of two prominent statistical models, the AutoRegressive Integrated Moving Average (ARIMA) and Bayesian Structural Time Series (BSTS), in the context of forecasting electricity prices in major West Coast cities of the United States, namely Los Angeles, San Francisco, and Seattle. Utilizing historical electricity price data obtained from the Bureau of Labor Statistics, the research meticulously trains and tests both models, aiming to evaluate their predictive accuracy and reliability in dynamic urban energy markets. The core objective of this research is to ascertain the effectiveness of ARIMA and BSTS models in the realm of electricity price forecasting, with a particular emphasis on their applicability in urban settings characterized by rapid market evolution. Through this analysis, the study offers valuable insights that could significantly influence energy market forecasting and policy formulation. The findings are particularly relevant for stakeholders in the energy sector, including policymakers and market strategists, as they navigate the complexities and challenges of modern energy landscapes. This research contributes to a more comprehensive understanding of statistical modeling techniques in energy market analysis and provides a foundation for more informed decision-making in energy policy and strategy development.
Principle and State-of-Art Applications of Quantum Computing
Authors: Wu Guixi
Published: June 2024

Contemporarily, the classical computing has met the upper limitations of Moore’s law due to the restrictions of the resolution for light sourcing and material. On this basis, the quantum computing has been rapidly developed due to the advantages of parallel computation, which is able to be faster more than 3 orders of magnitude than conventional computer in some issues. With this in mind, this study discusses the basic principles of quantum computing as well as the corresponding state-of-art applications. To be specific, the developing history of the quantum computing is briefly introduced. Subsequently, the entanglement principle will be demonstrated accordingly. Afterwards, three types of the state-of-art quantum computing facilities will be demonstrated. Then, some of the applications and common algorithms will be discussed simultaneously. According to the analysis, the limitations and defects of current investigation of quantum computing will be illustrated. In conclusion, these outcomes provided guideline for further exploration of quantum computing.
Predicting Blue-Chip Stock Returns Using Machine Learning Algorithms
Authors: Wei Liwen
Published: June 2024

The aim of the paper is to identify the relationship between blue chip stock returns and market indices using advanced machine learning models. The key objective of the study is to determine an efficient machine learning (ML) model that produces minimum error which gauging the relationship between market volatility indices, i.e., VIX, ISEE, and NASDAQ-100 and stock returns of blue-chip companies like Apple, Amazon, and IBM. In recent studies, machine learning models are generally used for the prediction of stock price movements of the company’s stocks. However, very few studies attempt to explore the relationship between market volatility indices and stock returns of blue chip or large capitalization companies using ML models. Therefore, the current research fills this research gap by analyzing the relationship between market volatility indices and the returns of blue-chip stocks like Amazon, Apple, and IBM. The study employs support vector machine (SVR), regression tree, and random forest model to assess the desired relationships. The findings suggest that the regression tree model predicts the stock returns of Amazon better, while SVR model is comparatively better in predicting the stock returns of Apple and IBM. However, the main limitation of the research is lack of consideration for additional stocks and machine learning which could have improved the generalizability of the research findings. Thus, future research studies should consider different types of stocks from different sectors and estimate the predictive capacity of various machine learning models.
Study of Green Credit Risk in the Steel Industry Considering Exogenous Shocks
Authors: Tasken Senbati , Yan Haibo
Published: June 2024

Based on the ESG-KMV model constructed by introducing industry ESG thresholds and ESG score values into the traditional KMV model's enterprise asset value and enterprise default point, a nonlinear mathematical expectation ESG-KMV model was constructed from the perspective of a commercial bank considering exogenous shocks and other factors, in order to measure the impact of exogenous shocks on the green credit risk of iron and steel enterprises. Results: The ESG-KMV model based on nonlinear expectation modification is introduced under the consideration of exogenous shocks, and the measurement results show that the default distance in the control group is relatively stable, while the default distance in the default group becomes sharply larger and smaller, and then becomes stable and smaller, which indicates that the model can effectively measure the impact of exogenous shocks on the green credit risk of iron and steel enterprises.
An Analysis of the Influencing Factors of the Birth Rate in the USA
Authors: Wu Yuyi
Published: June 2024

This research aims to use a rigorous quantitative methodology in the form of regression analysis to explore the complex terrain of birth rate drivers in the United States. The primary data source for this study is the National Vital Statistics System (NVSS). It provides extensive and current data on natality and births in the United States from 2000 to 2020 and is processed by SPSS. After accounting for other characteristics, the study indicated that higher GDP per capita and higher urban population significantly negatively affect the birth rate in the United States. This study stresses the significance of considering the impact of money and urbanization on fertility behavior and preferences when designing interventions to help families and children.
Prediction On Tiktok Like Behavior Based on Random Forest Model
Authors: Nie Ying , Xu Yundong
Published: June 2024

In recent years, the TikTok short video platform has rapidly ascended, attracting a plethora of users to participate in content creation and interaction. Predicting 'like' behavior delves deeply into user preferences, offering reference value for the platform to enhance traffic. Based on this, the present paper focuses on TikTok 'like' behavior as the research subject and employs a Random Forest model for its prediction. The model's fit was enhanced by optimizing the number of estimators (n_e) and the maximum number of features considered for splitting a node (max_f), aiming to provide a beneficial reference for TikTok and other social media platforms atop optimizing existing research. The results demonstrate that the fitted model boasts a commendable predictive performance, with an accuracy of 99.07%. The application of the model will aid the TikTok short video platform and other platforms in making informed video recommendations to users, thus improving the user experience.
Research Progress and Optimization Strategies of Cathodes, Anodes and Electrolytes for Lithium-ion Batteries
Authors: Li Jiaji
Published: June 2024

The importance of lithium-ion batteries is becoming increasingly clear as the world's need for clean energy grows. However, the challenges of realizing their higher energy density, stability and safety remain to be overcome. This paper discusses the working principle of Li-ion batteries and the importance of their core components, then explores the research significance of cathode, anode materials and electrolytes, respectively, and describes the current mainstream materials and their current challenges and optimization strategies. In terms of positive electrode materials, this paper introduces mainstream materials such as Nickel Manganese Cobalt Oxide (NMC), Nickel Cobalt Aluminum Oxide (NCA), and Lithium Iron Phosphate (LFP), and puts forward strategies to improve energy density and enhance stability; in terms of negative electrode materials, this paper lists core materials such as graphite and silicon, and discusses the issues of volume change and how to improve stability, etc. In the electrolyte section, it not only introduces the mainstream electrolytes such as organic liquid electrolytes and solid electrolytes, but also analyzes and discusses the problems of how to improve their ionic conductivity. By synthesizing these reviews and strategies, this paper aims to promote the progress and development of lithium-ion battery technology and bring new research perspectives and values.
Vitamin B12: Insights into Health Implications and Diagnostic Challenges
Authors: Li Aoxuan
Published: June 2024

These instructions give you guidelines for preparing papers for DRP. Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic file of your paper will be formatted further at DRP. Paper titles should be written in not contain displayed mathematical equations or tabular material. The abstract should include three or four different keywords or phrases, as this will help readers to find it. It is important to avoid over-repetition of such phrases as this can result in a page being rejected by search engines. Ensure that your abstract reads well and is grammatically correct.
Preface: 3rd International Forum on Mathematical Statistics, Physical Sciences and Telecommunication System (IFMPT 2024)
Authors: Hobson Montague , Lin Meiqi
Published: June 2024

We are glad to introduce you that the 2024 3rd International Forum on Mathematical Statistics, Physical Sciences and Telecommunication System (IFMPT 2024) was successfully held on January 06-07, 2024 in Brussels, Belgium. This forum aims to bring together academic scientists, leading engineers, industry researchers, and scholar students to exchange and share their experiences and research results about all aspects of mathematical statistics, mathematical model, physical sciences, quantum mechanics, astrophysics, 5G networking, and telecommunication system. This forum also discusses the practical challenges encountered and the solutions adopted.
This scientific event brings together more than 160 national and international researchers. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 8-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.
Lastly, we would like to express our sincere gratitude to the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.
The Committee of IFMPT 2024
Brussels, Belgium
The Common Techniques and Applications in Calculus
Authors: Qian Jiaxuan
Published: June 2024

Calculus is a pivotal subject in advanced mathematics since it is indispensable in various areas nowadays. It has many applications in other subjects like physics engineering and social science. However, compared with elementary mathematics, calculus is not easy to learn and integral is not easy to calculate because it is usually challenging to find out the antiderivative or the integral does not have a closed form. Thus, it is necessary to learn at least the basic techniques in calculus, which can help simplify the difficulty to solve the integrals in some extent. In this paper, the author will introduce three common techniques that everyone who learns calculus may use. These techniques are substitution, partial fraction, and integration by part, and illustrate their applications on several representative examples. In doing so, this can help readers grasp the most fundamental techniques in calculus, which is beneficial for them to further learn the calculus and apply them skillfully to calculate various integrals.
The Factors and Strategies of Green Gentrification
Authors: Zhong Haowei
Published: June 2024

It is clear that urban green spaces provide numerous health, social, and ecological benefits. However, without adequate preventative measures in place, the environmental benefits provided by these projects such as parks, trails, and better accessibility often lead to a rise in property values and significantly higher housing expenses contributing to green gentrification. This paper studies the factors of green gentrification and provides suggestions for solution and strategies to prevent the problems caused by green gentrification. Results show that characteristics of green space and cities’ geography and development are the main factors of green gentrification. This study focuses on the role of the function, scale of green space and park premium and geographical location in terms of characteristics of green space and distance from the city center, population change, economic growth, and city size in terms of cities’ geography and development context. To alleviate the problem caused by gentrification (such as financial pressure, social conflict, and increasing psychological costs), strategies including “just green enough”, multi-stakeholder participation, and fair benefit distribution system can be taken.
A Prediction Model for Tennis Match Fluctuations Based on the BP Neural Network
Authors: Sun Yixiang
Published: June 2024

Tennis is a global sport, with Wimbledon being one of the most historic and prestigious international tennis opens. The concept of "momentum" in tennis matches, defined as "strength or force gained by motion or by a series of events," plays a critical role in influencing the course of a match. This paper selects specific indicators combined with the scoring situations in matches for correlation analysis using Kendall's tau-b method. Reasonable indicators are chosen for classification through a backpropagation neural network to predict the match process and analyze fluctuations in the match flow, which are then visualized. The analysis identifies various turning points within the match proceedings. This model is a good way to analyze and predict fluctuations in tennis matches.This research is anticipated to contribute to the prediction of scores in sports events.
Calculating Integrals Pertaining Trigonometric Function and Polynomial Function by Residue Theorem
Authors: Guan Tong , Zhang Xiaoyu
Published: June 2024

Within the domain of complex analysis, the residue theorem, occasionally referred to as Cauchy's residue theorem, emerges as a formidable and indispensable technique for the assessment of line integrals along closed curves involving analytic functions. Remarkably, this unique trait makes it a prized tool in the mathematician's arsenal, which frequently finds application in the calculation of both real integrals and infinite series. Cauchy's Residue Theorem simplifies the solution of complex integrals by focusing on singularity points, offering a streamlined and efficient alternative approach to the complexities associated with conventional integral methods. This paper utilizes trigonometric and polynomial functions as illustrative examples to underscore the significance of the residue theorem in the assessment of improper integrals. Furthermore, it offers in-depth examinations of three distinct examples for each category. These comprehensive evaluations serve to emphasize the importance of the residue theorem in the field of complex analysis and highlight its versatility in addressing a wide range of mathematical challenges.
On Yijing, Chinese Traditional Divination and Their Possible Connection to Formal Logic
Authors: Sun Ziyue
Published: June 2024

The works of Logic and Yijing are widely recognized as seminal texts in the realms of Western and Eastern philosophy, respectively. The application of processing human-generated language and events involves a set of comparable procedures. This study postulates the existence of shared domains between the two bodies of knowledge. The author acknowledges a proposal put up by a student, which centers on the interrelationships between two bodies of information. The author delves into the potential for these two knowledge domains to reinforce one another and enhance comprehension via a cross-cultural lens. The empirical research conducted an investigation on three instances when individuals used divination methods based on Yijing. The study employed first-order logic as a means to reassess the accuracy of the outcomes obtained via these divination practices. Symbolization using first-order logic and the computation of entailment are used in the field of data analysis. According to the findings, a significant majority of the instances demonstrated logical validity. Furthermore, the examination of these examples included the exploration of concepts such as uncertainty, a contradiction in mental behavior, and the impact of social ties on the implications of factual information. These two areas of knowledge were interconnected in the analysis and discussion. It is recommended that further research be conducted on cross-paradigm epistemology.
Hikvision Price Prediction based on ARIMA, OLS Multiple Regression and Random Forest
Authors: Xia Jinyang
Published: June 2024

As a matter of fact, stock price prediction is quite crucial for investors to gain extra return in financial market. Thanks to the rapid development of the machine learning techniques. With this in mind, this paper takes Hikvision as sample data to study the stock forecast situation based on ARIMA time series model, OLS multiple regression, random forest machine learning these three models, Hikvision as a sample is also fancy the high growth of the company, and the stock forecast meets the current needs, which is of great significance, and finally the random forest machine learning and ARIMA time series model are obtained by comparison finally predict better effects relatively, through the computer model to predict, compared with the manual, has a higher running speed, in order to achieve better prediction results, in line with the current needs, is of great significance. Overall, these results shed light on guiding further exploration of price prediction.
A study on visualization of tennis match performance based on momentum function
Authors: Li Tao , Chen Yewei , Chen Ge , Xia Yu
Published: June 2024

This study was conducted to investigate the dynamic characteristics of players' performance in tennis matches, and analyze the match performance by combining the momentum function. First, the important factors affecting momentum were screened out by corrected chi-square test and the momentum function model was established. Second, the dynamic features of players' performance in the game were extracted and analyzed by using the 3-element rule. Finally, taking the match between Carlos Alcaraz and Nicolas Jarry as an example, the weights of the indicators were obtained by MATLAB solution, and the momentum values were charted to further analyze the results of the match. The study provides an important reference and methodology for a deeper understanding of player performance in tennis matches.
Analysis of NBA Player Salary using Linear Regression Analysis
Authors: Zhang Muxi
Published: June 2024

The National Basketball Association (NBA) is one of the major professional sports leagues in the United States. As times change, the NBA has a growing commercial value, and players have increasing salaries. The problems of salaries and contracts existed since the start of the NBA, inappropriate value of contracts between players and teams fail to reach an agreement. This paper uses the players’ data from the Entertainment and Sports Programming Network (ESPN) over the 2022-2023 regular season. The player field average data such as average points and ages will be the variables used to find out the player's salary, linear regression model will be used for analysis. The outcome will indicate the important factors used and to take into consideration by teams about the salary of players. This paper found that the player's salary is strongly related to their points per game and average field goals made which meet the playing style of the current basketball market.
Climate Change in China: An Analysis of Temperature and Precipitation Variations Across 2367 Meteorological Stations (1981-2020)
Authors: Xu Minyan
Published: June 2024

This study aims to examine the changes in climate across China from 1981 to 2020, focusing on both spatial and temporal variations. The analysis utilizes data collected from 2367 meteorological stations throughout the country. The findings of this research indicate an overall warming trend across China, with more significant temperature increases observed in the northern regions. However, the changes in precipitation patterns were more complex. While southern areas experienced greater rises in precipitation, some inland regions witnessed decreases. Further investigation into seasonal and monthly variations revealed substantial variability in both warming and precipitation patterns across different regions and timeframes. Surprisingly, the study found that the relationship between geographical factors such as latitude and altitude and the extent of climate change was relatively weak, except in arid Xinjiang. Although this research provides a comprehensive overview of climate change in China, it also emphasizes the necessity for more localized studies. These localized studies would help in understanding the multifaceted factors that drive the observed changes. By conducting more focused research, people can gain a deeper understanding of the specific influences and impacts of climate change in different regions of China.
International Carbon Emissions: Evolutionary Patterns, Trends, and Influencing Factors
Authors: Wang Xinling
Published: June 2024

This paper investigates the status and trends of global carbon emissions, including total emissions, per capita emissions, and emission intensity. It reviews the evolution and influencing factors of international carbon emissions. The increase in emissions is mainly concentrated in emerging economies and developing countries. Developed nations, despite having high total emissions, exhibit low emission intensity and stable or declining trends, often aiming for “carbon neutrality.” Emerging economies, including newly industrialized countries, are experiencing rapid increases in emissions, and are setting targets for carbon peaking and neutrality. Additionally, this paper examines global carbon emission policies, summarizing strategies and commitments for emission reduction. In the end, it anticipates future policy directions for global carbon emissions.
Improvement and Development Prospects of Carbon Anode Materials for Lithium-ion Batteries
Authors: Chen Yizhe
Published: June 2024

With the research progress in the field of electrochemistry and the introduction of new materials, lithium-ion batteries (LIB) have begun to achieve breakthrough progress. In contrast with traditional lead-acid batteries and nickel-cadmium batteries, LIB do not have memory effect, they will not be affected because of incomplete charge or long idle time and they are more convenient to use. The self-discharge rate of LIB is low, and it is easy to maintain a higher charge state when the storage time is longer than that of lead-acid batteries and nickel-cadmium batteries. LIB do not contain heavy metals such as lead and cadmium, and the manufacturing and recycling process of LIB has less impact on the environment than lead-acid batteries and nickel-cadmium batteries. Although the battery field has changed a lot and many problems have been solved, LIB still face some challenges, in the lithium-ion battery materials, there are still battery capacity attenuation during the battery cycle charge and discharge process, cycle life is insufficient, and charge and discharge speed is limited. In this context, several commonly used carbon anode materials for lithium-ion batteries are briefly introduced in this paper, mainly introducing the improvement methods of silicon carbon anode materials and metal oxide and carbon matrix composites. Compared with the traditional manufacturing method, the electrode material prepared by the new technology has better electrode performance and stability. In terms of silicon carbon anode materials, electrostatic electrospinning and carbon silicon nanotubes are the most promising large-scale development, and in terms of metal/metal oxide composites, the use of sodium chloride particle surface as a template to manufacture Fe3O4/C composites has great advantages. By improving the electrochemical performance of LIB by improving the carbon anode material, batteries with better performance, wider use and higher safety.
Personal Wealth, Risk Tolerance, and Stock Allocation: A Markov Chain Approach
Authors: Wang Yujun
Published: June 2024

As a matter of fact, personal wealth management remains a hot topic in order to gain extra return from financial market. With this in mind, the paper seeks to decipher the impact of an individual's wealth and risk tolerance on their propensity to invest in stocks in three different market sectors and risk allocations. On this basis, primarily using the Markov chain approach, the most appropriate investment allocations can be derived for different wealth and risk profiles. By exploring these transitions, the goal is to identify the optimal allocation of equity funds for individuals at different levels of wealth and risk tolerance. According to the analysis, this study provides insights into investment strategies for wealth dependence and risk tolerance, as well as hopes that a relatively reasonable allocation of financial resources for different income and courage groups can be studied at the same time. Overall, these results shed light on guiding further exploration of stock allocation.
Research on Multi-Beam Line Finding Problem and Optimal Line Finding Path based on Exhaustion Method
Authors: Lu Yuxuan
Published: June 2024

In this paper, the multi-beam line measurement problem is studied, solving the relevant data of different seabed slope and line measurement, and establishing a multi-beam line measurement model based on it, simulating the work of multi-beam line measurement, using ergodic and iterative algorithms, to achieve the best line measurement path design and calculation of uneven sea area. First of all, the mathematical model of multi-beam line surveying with variable direction of line surveying is obtained through geometric relation and sine and cosine theorem, etc., and the coverage width , overlap rate between lines  and sea depth  of measuring ships at different positions are solved. Secondly, the characteristics of sea terrain are analyzed, and the variation law of the coverage width  of the measured line with the angle of the measured line direction  is explored. Finally, whether the beginning and end points of the survey line reach the north and south banks is classified and discussed, and the traversal calculation method is designed to exhaustively explore all possible points and solve the minimum points.
Methodological Study on Enhancing the Efficiency of Heliostat Fields in Tower Solar Thermal Power
Authors: Chen Jinze
Published: June 2024

In response to environmental pollution and the energy crisis, large-scale tower solar thermal power as a sustainable alternative to traditional energy sources were explored. This article assumed a central absorption tower surrounded by a circular field of 6m×6m heliostats. The calculation of optical efficiency and thermal power output incorporated models for cosine efficiency, shadowing, and truncation efficiency. Key results include an annual average optical efficiency of 0.69, with a thermal power output of 74.61MW and 1.18KW/m² per unit mirror area. By capping the average output at 60MW and optimizing mirror dimensions and heliostat count, this article achieved a maximum annual average output of 1.20KW/m², utilizing 1050 heliostats with a 7m side length, leading to an average power output of 62.07MW.This article provides a research approach and framework for calculating the optical efficiency of a heliostat field, which also has theoretical guidance value for mirror field designers and contributes to the further development of tower-type solar thermal power generation technology.
Exterior Design and Application of Intelligent Elderly Care Bracelet in the Era of Science and Technology
Authors: Gao Xinxin , Li Jialiang , Lei Dongxin , Wang Jinsheng , Shen Yanmin
Published: June 2024

With the continuous development of the economy and society, various types of smart wristbands are emerging one after another, and the competition in the elderly care industry is becoming increasingly fierce. Among them, the convenient elderly care ability has become one of the main indicators to measure the competitiveness of elderly care. In the decades of development, the demand for elderly care in China has been increasing, and the ability of smart elderly care wristbands has been continuously improving. However, there are still many problems in their ability, which need to be further improved. This article takes the intelligent elderly care bracelet as the research object. Firstly, it explores the background and significance of the topic, summarizes and sorts out a series of theories and methods involved, and reviews the research status of intelligent elderly care at home and abroad. Then, it introduces the relevant theoretical basis for the ability of the bracelet we designed. Further analysis of the current situation of the elderly care bracelet industry.
Plastic Damage Characteristics of Roadways under the Influence of Overlying Working Face Mining
Authors: Zhang Weiyu
Published: June 2024

In order to investigate the influence of mining back from the upper working face on the lower roadway, this paper takes the south roadway of the -655m level of Hebi 8 Mine as the research object, and studies the plastic damage characteristics of the roadway surrounding rock under the influence of mining disturbance of the 3107-working face in the south roadway of the -655m level. Through numerical simulation, this paper explores the stress distribution and plastic damage characteristics of the roadway peripheral rock in the -655m horizontal south roadway of Hebi eight mine, and clarifies the deformation and damage range of the roadway peripheral rock.
Investigative Depression Potential Influencing Factors of Studies
Authors: Yan Peiwen
Published: June 2024

Depression, a mental health disorder, is increasingly becoming an important public health issue worldwide. With the increasing social pressure, interpersonal problems and life challenges, the incidence rate of depression is also rising. This situation has sparked widespread research interest to gain a deeper understanding of the underlying causes, pathophysiological mechanisms, and effective treatment methods of depression. This article will delve into the research progress of depression, including the latest scientific discoveries, diagnostic methods, and treatment strategies. We will use a combination of charts and logistic regression models to conduct research. We will focus on expert opinions from different fields and aim to provide a comprehensive overview to better understand depression and provide useful insights for future research and treatment directions. Depression is no longer an isolated problem, but a challenge that global society needs to face together. This paper looks forward to making more contributions through in-depth research to alleviate the pain of depression patients and improve the overall mental health level of society.
Leveraging Business Modeling Tools For Ecosystemic Business Model Design
Authors: Vorbohle Christian , Kundisch Dennis
Published: June 2024

Business modeling tools are crucial for designing and implementing successful business models. However, there exist instances—which we refer to as the design of ecosystemic business models—in which developing a business model requires simultaneous consideration of both one’s own business model and that of ecosystem partners. In these instances, standard business modeling tools focusing on representing business models in isolation may be inadequate. Based on a real-world example of a business ecosystem from the maritime logistics industry, we highlight five significant design challenges for ecosystemic business models. We then reflect on and discuss the extended role of the business model as an instrument for inter-organizational alignment, and draw out three implications for business modeling tools. The objective of this paper is to deduce implications and functional design requirements for business modeling tools from a conceptual perspective.
Pengaruh Insentif, Budaya Organisasi dan Lingkungan Kerja Terhadap Kedisiplinan Karyawan Pada PT. Aldakara Jaya Karya
Authors: Fatah Abdul , Fatah Putri Fachri Aulia , Iqbal Muhammad
Published: June 2024

This research aims to determine incentives, organizational culture, and work environment on employee discipline at PT. Aldakara Jaya Karya. The independent variabels in this research are Incentives, Organizational Culture and Work Environment and the dependent variabel is Employee Discipline. And this research method uses descriptive and associative quantitative methods. The data sources are primary data and secondary data. The research was carried out from December 2018 to May 2019. The research population was 81 in the Event Organizer (EO) division, the sample was 81 people. Data was collected using a questionnaire. To test the model and hypothesis using SPSS.24.0. Based on the results of the analysis, the following results were obtained: 1) incentives, organizational culture and work environment have a positive and significant effect on employee discipline, both partially and jointly at PT. Aldakara Jaya Karya. The results of this research recommend that employee discipline can be improved, especially through organizational culture with the dimension that employees always try to be responsible for solving work problems without waiting for orders from superiors
Հենրիկ Էդոյանի «Արցունքոտ օր» բանաստեղծությունը
Authors: Մուսայելյան Հովիկ
Published: June 2024

Քննության նյութը ժամանակակից հայ պոեզիայի ակնառու դեմքերից մեկի՝ Հենրիկ Էդոյանի «Արցունքոտ օր» բանաստեղծությունն է, նպատակը՝ վերջինիս կառուցվածքային ներքին շերտերում արտաքին-տեղեկատվական միտումնավոր արտահոսքի «կանխումը»։ Այն, ինչը «դուրս է մղվում» գեղարվեստական ստեղծագործությունից (մասնավորապես պոեզիայից), ներկա է նրա հղացման դրդապատճառների հիմքում և, ըստ էության, տեքստի ընկալման ու վերլուծության գործընթացում այն ներգրավելու չափն ու բնույթը, հմտություններն ու առանձնահատկություններն են սահմանում ստեղծագործության իմաստաբանական միջուկին մոտենալու հնարավորությունները։ Առանց հաշվի նստելու վերոնշյալի հետ՝ հնարավոր չէ մտահայել հեղինակի անհատական ճակատագրի դերն ու մասնակցության աստիճանը ստեղծագործության վերջնարդյունքում, ինչով և հիմնականում պայմանավորված են տեքստի բազմակողմանի վերլուծության խնդիրներն ու առանձնահատկությունները։
The subject of the examination is the poem "A tearful day" of one of the prominent figures of the modern Armenian poetry, Henrik Edoyan, and the purpose is to "prevent" the intentional leakage of the external information into the inner structural layers of the poem. That what is "pushed out" of the artistic work (especially of poetry) is present at the basis of its reference motives and, in essence, the skills and features, the extent and nature of involving it into the process of understanding and analyzing the text, define the possibilities of approaching the semantic core of the work. Without taking into account the above-mentioned, it is not possible to consider the role of the author's individual fate and the degree of participation in the final result of the creative work, which is mainly due to the problems and features of the multi-faceted analysis of the text.
Предметом рассмотрения является стихотворение «Слезливый день» одного из видных деятелей современной армянской поэзии Генрика Эдояна, а целью – «предотвратить» преднамеренное проникновение внешней информации во внутренние структурные слои стихотворения. То, что «выталкивается» из художественного произведения (особенно из поэзии), присутствует в основе его референтных мотивов и, по сути, умения и особенности, степень и характер вовлечения его в процесс восприятия и анализа текста, определяют возможности подхода к смысловому ядру произведения. Без учета вышеизложенного не представляется возможным рассмотреть роль личной судьбы автора и степень участия в конечном результате произведения, чем и главным образом обусловлены проблемы и особенности многопланового анализа текста.
Պանդխտության պատկերումը Հակոբ Մնձուրու ստեղծագործություններում
Authors: Ավագյան Արծրուն
Published: June 2024

Հոդվածում վեր է հանվում սփյուռքահայ տաղանդավոր գրող Հակոբ Մնձուրու (Հակոբ Տեմուրճեան, 1886-1978թթ.) ստեղծագործություններում պատկերվող պանդխտության թեման։ Այդ թեման արևմտահայ գրականության մեջ վաղուց էր արծարծվել՝ Մելքոն Կյուրճյան, Գրիգոր Զոհրապ, Դանիել Վարուժան ․․․, սակայն Մնձուրին իր պատմվածքներում շեշտը դրել է ոչ այնքան սոցիալական խնդիրների վրա, որքան՝ մարդկային ու ազգային այն արժեքների փլուզման, որն իր հետ բերում էր պանդխտությունը. գյուղը մնում էր առանց տղամարդկային աշխատող ուժի, կանայք ծերանում էին իրենց ամուսիններին տասնամյակներով սպասելով, բնակավայրերը մնում էին անպաշտպան և պարբերաբար ենթարկվում ավարառության։
В статье рассматривается тема странничества в произведениях талантливого писателя армянской диаспоры Акопа Мндзури (Акоп Темурчян, 1886-1978). Эта тема давно подни-малась в западноармянской литературе в произведениях Мелкона Кюрчяна, Григора Зограба, Даниела Варужана..., однако Мндзури в своих рассказах акцентировал внимание не столько на социальных проблемах, сколько на крахе человеческих и национальных ценностей, который принесло с собой иноземство. Деревня оставалась без мужской рабочей силы, женщины старели, десятилетиями ожидая своих мужей, поселения оставались беззащитными и регулярно подвергались разграблению.
The article discusses the theme of wandering in the works of the talented writer of the Armenian Diaspora Hakob Mndzuri (Hakob Temurchyan, 1886-1978). This topic has long been raised in Western Armenian literature in the works of Melkon Kurchyan, Grigor Zohrab, Daniel Varuzhan..., however, Mndzuri in his stories focused not so much on social problems as on the collapse of human and national values that foreignness brought with it. The village was left without male labor, women were aging, waiting for their husbands for decades, settlements remained defenseless and were regularly looted.
Եղիշե Չարենց․ Ազգայինի ու դասակարգայինի հան-գույցում (1920-ական թվականներ)
Authors: Քալանթարյան Ժենյա
Published: June 2024

Հոդվածում փորձ է արվել նոր տեսանկյունից դիտարկել ազգ-դասակարգ հարաբերությունը Եղիշե Չարենցի ստեղծագործություններում։ 1920-ական թվականներին իշխող խորհրդային գաղափարախոսությունը նրան դնում է երկընտրանքի առաջ՝ գրականության մեջ առաջին պլան մղելով դասակարգային թեման և գրեթե արգելապատնեշ դնելով ազգային խնդիրներ արծարծող ստեղծագործությունների հանդեպ։ Բանաստեղծը փորձում է իր երկերում հավասարակշռել ազգային ու հեղափոխական գաղափարները։ Հոդվածում շեշտվում է այն հանգամանքը, որ այդ շրջանում քաղաքականությունն իշխում է գեղարվեստի վրա, ինչը նվազեցնում է ազգային խնդիներին անդրադառնալու հնա-րավորությունը։ Իսկ 1930-ական թվականներին ավելացող քաղաքական ճնշումները որոշ դառը արձանագրումներ են թելադրում ազգային խնդիրների արծարծումներում, ավելանում են ազգային թեմայով գրված երկերը՝ մնալով անտիպ,վերջնականապես դադարում են հեղափոխական բնույթի գործերը։Այս ամենով հանդերձ՝ Չարենցը մնում է ոչ թե որևէ դասակարգի, այլ հեղափոխության ամենամեծ երգիչը և ազգային շեշտված նկարագիր ունեցող բանաստեղծը, ով հեղափոխությունը գնահատում էր ազգայինի դիրքերից։
However, the ruling Soviet ideology in the 1920s made him face a dilemma, bringing the theme of class to the fore in literature and almost erecting a barrier for works that address national issues. The poet tries to balance national and revolutionary ideas in his works.The article emphasizes the fact that in that period politics rules over fine art, which reduces the possibility of addressing national issues. Meanwhile, in the 1930s, the increasing political pressures resulted in certain bitter conclusions reflected in the discussion of national issues. The number of works written on the national theme increased, yet remaining unpublished, while works of a revolutionary nature come to a final stop. Despite all this, Charents remains the greatest singer of the revolution, not of any class, and a poet of distinct national nature, who evaluated the revolution from the standpoint of the national.
В статье предпринята попытка с новой стороны рассмотреть национально-классовые отношения в творюестве Егише Чаренца. Однако правящая советская идеология 1920-х годов поставила его перед дилеммюой, выдвинув классовую тему на первый план в литературе и едва ли не поставив заслон произведениям, посвященным национальным проблемам.Поэт пытается сбалансировать в своих произведениях национальные и революционные идеи. В статье подчеркивается тот факт, что в этот период политика господствует над изобра-зительным искусством, что снижает возможности обращения к национальным вопросам. А в 1930-е годы из-за усиливающегося политического давления в обсужденных поэтом на-циональных вопросах появились некоторые горькие заключения, увеличилось количество написанных на национальную тему произведений, которые остались неопубликованными и окончательно прекратились работы революционного характера. Несмотря на все это, Чаренц остается величайшим певцом революции не какого-либо класса и поэтом с подчеркнутым национальным характером, который оценивал революцию с национальной точки зрения.
Midterm Outcomes of Closed Extension Block Pinning for Mallet Fractures
Authors: Uzel Kadir , Birinci Murat , Uzun Alparslan , r Niyazi , Hakyemez mer , an Mehmet
Published: June 2024

Objectives
Mallet fractures constitute approximately 30% of mallet finger injuries and their treatment remains controversial. This study aimed to assess the functional and radiological outcomes of mallet fractures treated with closed extension-block pinning.

Methods
A retrospective review was conducted on patients who underwent closed extension-block pinning for mallet fractures between December 2013 and May 2023. Twenty-one patients (76% male) included in the study were analyzed. Clinical and radiological assessments were performed to evaluate bone healing, joint function, pain, and daily functional limitations via QDASH, VAS, Crawford criteria.

Results
The mean age was 36 ± 13 years, with a follow-up duration averaging 53,1 ± 40 months. Mallet finger predominantly occurred due to sports injuries and falls (15 patients, 71,5%). Overall, bone union was achieved in 19 (90,5%) cases. The mean flexion of the DIP joint post-surgery was 67,1 ± 10,9 degrees, with three cases (14,2%) exhibiting extension lag and a mean extension limitation of 6,1 ± 10,3 degrees. Overall, patients reported high satisfaction with finger movements after surgery, with significantly lower postoperative pain and functional impairment scores, particularly among males (p<0,05). According to the Crawford evaluation criteria, 6 patients were classified as excellent, 11 patients as good, 2 patients as fair, and 2 patients as poor outcomes. One instance of postoperative complication noted a pin tract infection.

Conclusion
The closed extension-block pinning technique for mallet fractures offers minimally invasive, easy-to-learn application, fast procedure times, and safe outcomes in short to medium term, but complications such as nonunion may increase in delayed cases
Evaluation of Total Knee Arthroplasty Surgery with Finite Element Analysis
Authors: Azarabadi Javid
Published: June 2024

Introduction: This study aims to demonstrate the importance of the finite element method (FEM) in total knee arthroplasty (TKA) to minimize the necessity for revision.
Materials and Methods: In our study, the TKA system implanted in femoral and tibial bones has been numerically analyzed by three-dimensional FEM. The results and the TKA model have been transferred to 3D SolidWorks 3D software. This study's application aspect focuses on the stress distribution in the interaction between the distal bone portions of the knee joint and the TKA. Our study presents the load distribution on the implants and the demonstration data applied in the normal surgical procedure. The load distribution has also been analyzed, and the degree of valgus was reduced by 3 degrees. This situation helped us to predict early polyethylene corrosion and failure in the future.
Results: When the valgus angle was reduced by 3°, the load distribution on the implants increased in the medial compartment, especially in the polyethylene insert. This led to the prediction of early polyethylene wear and failure in the future.
Conclusion: FEM emphasizes the importance of biomechanical load distribution during TKA. It is also a good method to reduce the incidence of TKA revision and increase patient satisfaction after TKA.
Cada una según su estado y condición: laicas y religiosas por dentro y por fuera (un ejemplo en la Andalucía Moderna)
Authors: Garrido Flores Antonia , Gómez Navarro María Soledad
Published: June 2024

Con el siguiente trabajo pretendemos mostrar cómo se vestían las mujeres seglares y las religiosas o monjas, según órdenes monacales o mendicantes, en el Antiguo Régimen.
La mujer seglar de una cierta entidad social y económica se vestía para dar una apariencia al exterior de opulencia y riqueza muchas veces solo fingida. Las féminas pobres del tercer estado se cubrían con un número menor de prendas, de menor coste y poca calidad.
Por su parte las religiosas o monjas se vestían con tejidos recios, lejos de lujos y adornos y siempre acordes a las reglas de sus instituciones.
Ceremonias y celebraciones en la Universidad de San Marcos en la época de Carlos V y Felipe II
Authors: Flórez Dávila Gloria Cristina
Published: June 2024

Presentamos un aspecto de la investigación que realizamos acerca del Legado Medieval en el Perú de los Austrias, especialmente por la importancia que tiene la génesis del Estado Moderno en 0ccidente. En esta ocasión dirigimos nuestra atención en la dinámica intelectual que permitió a la Universidad y a sus miembros tener papel destacado en lo intelectual y en lo político, como fue la Real y Pontificia Universidad de San Marcos en los dominios de Ultramar d por razones diversas como: su antigüedad, los privilegios otorgados en lo civil y religioso, los profesores y alumnos que tuvieron destacada producción cultural.