bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparative Analysis of the Application of Machine Learning Algorithms and Econometric Models in Stock Market Prediction
Authors: Ni Zhehan , Chen Weilun
Published: December 2022

Forecasting the future price trend of a stock traded on a financial exchange is the aim of stock market prediction. In recent decades, stock market prediction has been a fascinating topic in the domain of Data Science and Finance. In reality, the stock movement is ambiguous and chaotic due to various influencing factors such as government policy, current events, interest rates Etc. At the same time, accurate enough forecasting of stock price movement leads to substantial benefits for investors. This paper provides a comprehensive review of the application and comparison of Machine Learning (ML) algorithms and Econometric Models in stock market prediction. The mentioned models are categorized into (i) ML algorithms, including Linear Regression (LR), K-nearest neighbors (KNN), Support Vector Machine (SVM), and Long Short-Term Memory (LSTM). (ii) Econometric Models, including Autoregressive Integrated Moving Average (ARIMA) Model, Capital Asset Pricing Model (CAPM), and Fama-French (FF) Factor Model.
Exploring the application of machine learning and python model lstm in predicting Tesla stock price
Authors: Qu Han , Xiang Xinkai , Xu Yihan
Published: December 2022

Machine learning involves many fields such as probability theory, statistics, and algorithm complexity theory. Using existing algorithms and models to make judgments or predictions without clear instructions, relying on existing data, patterns, and reasoning. It is a subset of Artificial Intelligence that includes statistical techniques and knowledge to deal with a dataset with vast amounts of data. It can be applied to our daily life, such as investment decisions of stocks, options futures and other derivatives. In this article, the author will predict price performance by using a just-in-time LSTM model. The goal of the mission is to use past historical price data to make accurate predictions about Tesla's stock price over the future. Due to the characteristics of Tesla's case of high-volatility stocks, this problem is extremely challenging and has become a popular research topic in stock price forecasting. From a machine learning perspective, this is a good, critical but challenging prediction problem. That's because Tesla is already a leader in electric vehicle (EV) production. The linear regression model and LSTM (long and short-term model) model are respectively used to forecast Tesla's stock price. The RMSE value is used to evaluate the accuracy of the two models and the results are obtained: the accuracy of the LSTM model prediction is much higher than that of a linear regression model.
Prediction of S&P 500 Index Using HAR-RV Models with Structural Breaks, Day-of-the-Week Effect and Trading Volume
Authors: Gao Xuanrong
Published: December 2022

Economic trends are one the crucial research topics. Standard and Poor's 500 index (S&P500) is an indicator of economic change with diversification. In this article, the time series models of forecasting realized volatility, regarding the heterogeneous autoregressive theory, are evaluated. For the day, week, and month predictions, heterogeneous autoregressive models with realized volatility (HAR-RV) type models take structural breaks, the day-of-the-week impact, and trade volume into account. Structure breaks and day-of-the-week effects have positive effects on in-sample prediction, while there is not enough evidence to show that trading volume is significant for in-sample prediction. For out-sample prediction, simple loss functions and the Diebold Mariano test are employed to compare the capability of HAR-RV type models in this article for out-sample performance. The HAR-RV, HAR-RV-VOL, and HAR-RV-WV models are regarded to be accurate for short- and mid-term out-sample prediction. The HAR-RV, HAR-RV-SV, and HAR-RV-SWV models are thought to be significant over the long run.
Apple Financial Analysis and Development Trend Research
Authors: Jiang Jiani , Jin Jingyi , Xu Siyu , Yang Xinjia
Published: December 2022

Apple Inc is a world-renowned electronics company established in 1976 and went public in 1980. On January 4, 2022, Apple's market value exceeded $3 trillion which is equivalent to the GDP of the world's fifth largest economy. So, it is drawn numerous attention to Apple's financial position. To determine the financial status of a company and to assess whether the management is successful or not, choosing financial statement analysis is a necessary method. On the one hand, this analysis can assess the financial status of the company, the company's ability to operate and manage, and whether the business prospects are bright. On the other hand, this analysis can identify the problems of the company’s management and propose countermeasures to solve them. This paper combines case materials and financial data. First, from four aspects of profitability, operating, liquidity, and solvency, it uses trend analysis to analyze Apple's financial data, finds out the existing problems, and propose corresponding solutions to the problems. Secondly, it analyzes Apple's development ability from the two aspects of emergency resolution ability and enterprise business strategy and compares it with enterprises in the industry to propose solutions. This paper mainly analyzes Apple's financial level and development ability and puts forward targeted suggestions for investors to refer to.
Research on the Prediction and Influencing Factors of House Price Based on Regression Analysis Model
Authors: Zhang Jiaxin
Published: December 2022

To analyze what factors may have an impact on house price, this research used the house sales information from king county in U.S from May 2014 to May 2015 including house prices and 16 other factors to see whether they are correlated with house price or not. To minimize the error the research pre-processes the initial data and runs an endogeneity analysis among the independent variables. The research used single regression models along with multiple regression models to analyze the data. The research found out that the square feet of the living and the surrounding environment as well as the grade of the house are highly correlated with the house price. The research then suggests that the government should pay attention to these factors when building a house and the real estate company should adjust their marketing strategy based on this model in order to promote the overall value of the house.
Research on Ctrip's hotel business management issues and development suggestions under the background of COVID-19
Authors: Jiang Jiaqi
Published: December 2022

Since 2020, China's tourism industry has been hit hard by the COVID-19 epidemic. Online accommodation is an important part of the online travel market, after the outbreak, the housing market consumption low, to save the performance of the downturn, Ctrip in the face of the new champions, on the basis of the high star hotels and packaged products products, series of pre-sales activities through online live, to consolidate the hotel business in the industry leading position.The previous literature has not systematically analyzed the organizational management of Ctrip's hotel business in China. This paper mainly studies the measures taken by Ctrip hotel industry under the COVID-19 epidemic, and then uses PEST analysis to explain the market environment. Then point out the problem through the 4P marketing theory. Finally put forward the development strategy and approach.
Brief Analysis to Advantages and Problems of Atour’s Develoment
Authors: Wu Yuheng
Published: December 2022

The Chinese hotel and lifestyle brand Atour boosts its development in recent years and can also be considered as a leader of Chinese hotel industry with characteristic ideas. Thus, the author finds it greatly meaningful to do some research, attempting to offer several points for potential progress. This article analyses the advantages of Atour in terms of its jointly-design products and individual hotels, the significance of the fourth space as well as the humane services, which could be considered as the long comings belong to this group. However, Atour is also faced with various problems like price, decoration and staff quality. Based on the analysis of these advantages and problems, suggestions for promoting Atour’s further development are provided as well. In general, the author holds such an expectation that Atour could seize opportunities in this era of experience economy, keep on enhancing itself and manages to attain further achievements, contributing to the going-up of Chinese hospitality industry.
The Study of Apology in Public Relation Crisis Management: how to Achieve the Mitigated Outcomes by Deploying Effective Apologies
Authors: Chen Pengyi
Published: December 2022

Public Relations and crisis management, asnewly risen and rapidly growing domains, now serves as vital knowledge used to build healthy and robust two-way communication between customers and brands/organizations. Many methods are examined and tested to regulate organizational reputation and hold together customers’ trust and satisfaction as an unpredicted crisis that could damage positive brand image occurs. Recent studies reveal that to manage the crisis effectively, there are several strategies deemed effective; one example is the successful delivery of an apology. Two case studies: the 2022 Sesame PlaceRacialDiscrimination Case and the 2019 NetEase’s Justice Online 4.28 event, will be integrated as support for the study. This study explores in what tone, contents and timing an apology would be seen as practical and generates a brief model of strategies leading to an effective apology that could be applied in the post-crisis period. Strategies like denial, avoidance, and giving excuses that have led to negative results will also be put into a detailed discussion. By analyzing two case studies, a model with three steps that might be generally applicable is drawn in three steps 1. Immediate apology for the harm caused with investigation promised 2. Form a specialized PR team to build one-on-one connections and 3. Establish or enhance private negotiation in reaching agreements.
Comparison Between ARIMA Model and OLS Model Based on the Economic Representation
Authors: Chen Jiapeng
Published: December 2022

This paper investigates the comparison between Autoregressive Integrated Moving Average (ARIMA) model and Ordinary Least Square (OLS) model. As two good ways to deal with time series datas, these two methods have been widely used in the economic world. Based on these phenomenon, it has a significant research value in the field of finance. Since ARIMA model and OLS model are fit the historical datas and make prediction, it is important to know about the charateristics of them. In this paper, basic information of ARIMA model and OLS model are mainly discussed, including the definition, modeling process and summary of the main protries. Then, the paper will do comparison from three parts: applicable data types, treatment of errors, validity. And it is concluded that both models take a good fitting effects. Finally, this paper derives the practical applicability of ARIMA and OLS models to be provided to research members as a reference.
Green Supply Chain Driven by Digital Intelligence: The Case of Schneider
Authors: Shi Xinyi , Wu Boyu , Zhu Yixuan
Published: December 2022

Digital intelligence strengthens the green supply chain in an environment where businesses steadily strive environmental and eco-friendliness. It helps the environment achieve its goals of low energy use and zero carbon emissions. With Schneider Electric's digital intelligence transformation as an example, this study attempts to analyze the effects of digital intelligence transformation on businesses’ green supply chains. This study uses the case study method as the primary research method, analyzes several papers in this direction and the official information released by Schneider Electric, and finally concludes that the digital intelligence transformation of the supply chain has had a positive impact on four aspects of the enterprise’s green supply chain: design services, production management, transportation optimization, and energy saving, which will provide a reference for the digital intelligence transformation of enterprises in this industry.
Analysis of the Mystery in Warehousing Management: Taking SF Storage as an Example
Authors: Si Haoran
Published: December 2022

From the perspective of the whole logistics industry, warehousing management, as an essential branch, has created enormous benefits for the logistics industry. The emergence and development of intelligent warehousing have had a profound impact on the traditional warehousing industry. This paper discusses the importance of warehousing management in the logistics industry, taking SF as an example to describe how modern intelligent warehousing management is carried out and taking this enterprise as an example to study the present situation and problems of warehousing management in China. Finally, combining these problems will improve our warehousing and put forward constructive suggestions for SF’s development. This paper focuses on storage allocation in warehouse management and the future development direction of SF Express. SF Logistics, which is studied in this paper under the blessing of intelligent warehousing and advanced warehousing management, adopts the research method of in-depth analysis of cases, which has particular specific theoretical value and application value on how to improve the core technology of warehousing in China.
Time coordinates change strategy - different strategies in different competition
Authors: Xin Yutong
Published: December 2022

As companies all have their specific strategies in order to develop their companies. Companies always make various decisions that is the most appropriate to the industries. This paper discusses about how companies decision and strategies are impacted by the status and the current stage of the companies. During the analyzation, the AAA Framework, Porters’ Five Forces and SWOT Analysis are used. The research of three companies of Popmart, Lululemon and Pepsi has resulted in demonstrating the importance of diversify the company strategy in different stages. Companies like Popmart are the entrants of a market which need more customers attractors in building the brand fame. But for companies that has already been incumbents like Lululemon and Pepsi, more attention should be payed for maintain their current customers and brand fame, with the developing of the potential customer groups that have been ignored in the previous market strategy. Although disparate stages means different needs of strategy, all stages companies need to insure their brand fame and companies goal.
The Sport Industry Study with the Example of Nike and Anta
Authors: Gu Haoyang
Published: December 2022

Nike was the giant conglomerate in the sport industry. With the transformation of the trading commerce and the businesses, the corporation not only face the continually competitions from Adidas and Puma, but also is under the pressures from the new-emerging companies. Anta is one of the new emerging companies built up in China. Anta was the original equipment manufacturer (OEM) from China Fujian family business and now becomes the listed company with HK.02020 in Hongkong exchange. The paper would analyze both companies combining the industrial analysis to compare the two companies. China’s market is too huge to ignore, in Anta’s decision to establish the independent brand and enter Chinese market, it has been lasting for three decades. The paper collected the data and information first and compare the financial performance of both companies. In addition, the paper also focuses on the sustainability and innovation of both companies. From the comparison, the paper finds that Anta’s stability, growth, and development have excelled than Nike. Anta aims not only to convey success stories but also to provide affordable but advanced sport wearing products to the customers.
The impact of China's entry into the carbon trading market on European carbon prices
Authors: Wang Xiaoya
Published: December 2022

As the world's largest greenhouse gas emission country, the success or failure of the Chinese national carbon emissions trading market will largely determine climate change’s further development. Chinese national carbon market, which was opened on July 16, 2021, will also exert spillover effects on carbon trading markets in other countries, including the European carbon emissions trading market, which will have a more significant impact. This paper uses the double difference model(DID), sets the price of European certification emission reduction(CER) as the dependent variable, and takes China's entering into the carbon emissions trading market and the RMB exchange rate as the independent variable to test the influences of China's entering in the carbon emissions trading market on the European CER price. After that, non-linear machine learning models such as support vector machines are used to fit and predict the price of European CER, which further verifies that the opening of the Chinese national carbon emissions trading market contributes to a decline in European CER price.
Economic Policy Uncertainty and Stock Liquidity
Authors: Lyu Zijiu
Published: December 2022

Based on the annual stock data of Chinese stock market from 2007 to 2019, this paper explores how economic policy uncertainty (EPU) affects stocks’ liquidity by applying a fixed effect model (here the effects of different years and different stocks are controlled). It has analyzed what role the retail investor attention plays in the interplay between EPU and stocks’ liquidity. The results show that the increase of EPU makes retail investors more willing to trade stocks, thus increasing the liquidity of stocks. Furthermore, this paper categorizes listed companies into 4 different groups according to their market value and return on assets (ROA). And it has been found that the interplay among EPU, China investors’ composite sentiment index (CICSI), and Amihud is more notable in companies with small market value and high ROA.
Digitalization Index: Case for Banking System
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Versal Nataliia , Erastov Vasyl , Balytska Mariia , Honchar Ihor
Published: December 2022

Economy digitalization has become a trend during the pandemic. The banking sector was also one of the first to face the need to accelerate digitalization. This work is devoted to developing a digitalization index for both the banking sector and an individual bank based on a set of indicators calculated according to data from the World Bank and data from commercial banks. At a macro level, the study concluded that the pandemic has accelerated the digitalization of the banking sector in all the monitored countries; however, a significant increase was observed in countries with lower index values in the pre-pandemic period. At the micro-level, the study showed that digital banks had benefited from digitalization more during the pandemic, unlike classical banks.
A New Viterbi-Based Decoding Strategy for Market Risk Tracking: an Application to the Tunisian Foreign Debt Portfolio During 2010–2012
Authors:   Qassim University, Buraidah, Kingdom of Saudi Arabia, Saidane Mohamed
Published: December 2022

In this paper, a novel market risk tracking and prediction strategy is introduced. Our approach takes volatility clustering into account and allows for the possibility of regime shifts in the intra-portfolio's latent correlation structure. The proposed specification combines hidden Markov models (HMM) with latent factor models that takes into account the presence of both the conditional skewness and leverage effects in stock returns. A computationally efficient expectation-maximization (EM) algorithm based on the Viterbi decoder is developed to estimate the model parameters. Using daily exchange rate data of the Tunisian dinar versus the currencies of the main Tunisian government's creditors, during the 2011 revolution period, the model parameters are estimated. Then, the suitable model is used in conjunction with a Monte Carlo simulation strategy to predict the Value-at-Risk (VaR) of the Tunisian government's foreign debt portfolio. The backtesting results indicate that the new approach appears to give a good fit to the data and can improve the VaR predictions, particularly during financial instability periods.
Churn Prediction for High-Value Players in Freemium Mobile Games: Using Random Under-Sampling
Authors:   Vilnius University, Vilnius, Lithuania, Wang Guan-Yuan
Published: December 2022

Many game development companies use game data analysis for mining insights about users' behaviour and possible product growth. One of the most important analysis tasks for game development is user churn prediction. Effective churn prediction can help hold users in the game by initiating additional actions for their engagement. We focused on high-value user churn prediction as it is of particular interest for any business to keep paying customers satisfied and engaged. We consider the churn prediction problem as a classification problem and conduct the random undersampling approach to address imbalanced class distribution between churners and active users. Based on our real-life data from a freemium casual mobile game, although the best model was chosen as the final classification algorithm for extracted data, we can definitely say there is no general solution to the stated problem. Model performance highly depends on the churn definition, user segmentation and feature engineering, it is therefore necessary to have a custom approach to churn analysis in each specific case.
Use of Markov Chain Simulation in Long Term Care Insurance
Authors:   University of Economics in Bratislava, Bratislava, Slovakia, Mucha Vladimír , Faybíková Ivana , Krčová Ingrid
Published: December 2022

The aim of this paper is to present the use of simulations of non-homogeneous Markov chains in discrete time in the context of the problem of long-term care delivery. The object of investigation is to model the distribution of clients into different states during specified time steps, then to estimate the average time a client stays in a given state, as well as to estimate the insurance premiums. Within the use of the Monte Carlo simulation method, the focus is on providing approaches that ensure more accurate results in the context of the number of simulations performed. Based on the statistical processing of the data obtained from the simulations, it is possible to obtain the information necessary for the provision of resources for the provision of health care and for the determination of the aforementioned premiums. For the implementation of the above techniques and their graphical presentation available packages such as markovchain, ggplot2 or custom code created using the R language were used.
تأثيرتمرينات الايروبلانكس (ذات الجهد المتعاكس بين الحركه والثبات) في مكونات اللياقة القلبية للطالبات بعمر(18-22)سنة
Authors: رانية مؤيد ابراهيم  , منى طالب البدري
Published: December 2022

تعتبر الصحة هي الهدف الاسمى للأنسان اذ تعد نعمة يسعى اليها وهي لاتوجد الا في جسم صحي وقوام سليم فهناك ارتباط وثيق مابين اللياقة البدنية والصحية فلا يمكن تخيل انسان يمارس تمارين رياضية بشكل مستمر ومنتظم يعاني في الوقت ذاته من امراض او مشاكل صحية. ومن خلال ملاحظة الباحثتان يتضح ان الخوض في موضوع التمرينات البدنية ومدى تأثيرها في اللياقة القلبية من الاهمية بمكان في وقتنا الحاضر وخصوصا مع تفشي الاوبئة بشتى انواعها ومن هنا جاءت اهمية البحث في ايجاد تمرينات جديدة وبصيغة مركبة حديثة الاداء كالايروبلانكس(ذات الجهد المتعاكس بين الحركه والثبات) وتاثيرها في متغيرات مهمه للمجتمع وهي اللياقة  القلبية . للوصول الى مستوى جيد وآمن من الصحة العامة لابد ان يمارس الفرد انواع مختلفة من الانشطة الرياضية وذلك لما تحدثه من تغييرات فسيولوجية مهمة في الجسم والمحافظة على التوازن وضغط الدم و الجهاز العضلي وبهذا تتضح اهمية اللياقة البدنية من الناحية الصحية بتأثيرها المباشر على الاجهزة الوظيفية.  ان اهمية البحث  تكمن بتاثير تمرينات الايروبلانكس على القلب والجهاز الدوري التنفسي ومعدل ضربات القلب  حيث يكتسب البحث اهميتة عبر تقديم حلول ناجحة وبفترة زمنية قصيرة  وتتحدد مشكلة البحث حول التعب الذي يحصل اثناء اداء الاعمال اليومية وكذلك نتيجة كثرة امراض القلب وعلية اصبح من غير الممكن الاستغناء عن اداء التمارين الرياضية . هدفت الباحثتان اعداد تمرينات مركبة  ايروبلانكس (ذات الجهد المتعاكس بين الحركه والثبات) و التعرف على تأثير تمرينات ايروبلانكس (ذات الجهد المتعاكس بين الحركه والثبات) في مكونات اللياقة القلبية للطالبات بعمر 18-22 سنه.وقد استنتجت الباحثتان ان لتمرينات الايروبلانكس (ذات الجهد المتعاكس بين الحركة والثبات ) أثرا فعالا بتطوير مكونات اللياقة  القلبية المختارة في البحث التدريب خلال فترة زمنية لابأس بها ساعد  بتوازن العمل العضلي لجسم المتدربات من خلال التنويع في إشراك المجاميع العضلية والذي انتج تنشيطا للعضلات الخاملة والضعيفة
A REVISÃO PERIÓDICA UNIVERSAL E A CRIMINALIZAÇÃO DA HOMOTRANSFOBIA: ANÁLISE DA ATUAÇÃO DO PODER JUDICIÁRIO E DO PODER LEGISLATIVO DO BRASIL
Authors: Tavares João Pedro Corrêa
Published: December 2022

O artigo apresenta um recorte teórico referente à criminalização da homotransfobia sob a ótica de atuação da Organização das Nações Unidas (ONU), com ênfase no mecanismo da Revisão Periódica Universal. O objetivo do trabalho é expor a atuação discrepante do Poder Legislativo e do Poder Judiciário do Brasil no que concerne à tutela penal de bens jurídicos essenciais à população LGBTI+, um paradoxo apontado pelo organismo internacional. Para tanto, adotou-se o método indutivo com uma abordagem descritiva e explicativa baseada em uma pesquisa bibliográfica elaborada a partir de livros, teses, artigos científicos, legislações e relatórios. Em conclusão, identificou-se que o Poder Judiciário possui uma postura atuante quanto à proteção dos direitos LGBTI+ por intermédio de decisões judiciais. O Poder Legislativo, regido por intenções legislativas conflitantes, extenua negativamente através dos anos à devida positivação desses direitos, principalmente àquele referente à tutela penal. A atuação antagonista das instituições acerca dos direitos dessa população é reforçada pelo histórico socioeducacional do país, que se desenvolve pelo afastamento dos conceitos de conhecimento interpessoal e multi-identidade, pela desvirtuação teleológica dos direitos humanos e pela falácia do legislador como ente senciente dotado de uma única vontade.
INVESTIGAR PARA APRENDER CIÊNCIAS: UMA ABORDAGEM INTEGRADA NO JARDIM DE INFÂNCIA
Authors: Soares Andreia , Varela Paulo
Published: December 2022

Nos últimos anos, tem-se assistido a um interesse renovado na abordagem das ciências por investigação. As atividades que promovem a exploração e a investigação são essenciais para desenvolver nas crianças as bases do pensamento científico, uma compreensão básica dos fenómenos naturais, saberes de outras áreas curriculares e atitudes positivas em relação à ciência e à sua aprendizagem. Neste sentido, a partir dos interesses identificados num contexto de educação pré-escolar, foi concebido e desenvolvido um projeto de intervenção pedagógica supervisionada. O projeto teve como objetivo geral promover a abordagem das ciências, baseada em atividades de caráter investigativo e centrada na integração e desenvolvimento de saberes de outras áreas curriculares. O projeto adotou uma metodologia de investigação-ação. Ao longo de um semestre letivo foram planificadas e exploradas 6 atividades. Na sequência da observação participante, elaboraram-se diários de atividade. É com base no diário da atividade “Paredes fortes - investigo a resistência das paredes” que se pretende, nesta comunicação, descrever o processo de construção integrada do saber promovido com as crianças, identificar os processos científicos por elas utilizados e apresentar as principais aprendizagens realizadas pelas crianças. No final, são discutidos os contributos da atividade no desenvolvimento de saberes de outras áreas, especialmente da matemática e da linguagem. São também apresentadas algumas implicações para a prática dos educadores. Contudo, é sustentado que a educação científica nos primeiros anos proporciona múltiplas oportunidades para o desenvolvimento e aprendizagem da linguagem e da matemática, de forma concreta e significativa.
PHİLLİPS EĞRİSİNİN TÜRKİYE VE GELİŞMİŞ EKONOMİLER AÇISINDAN İNCELENMESİ
Authors: ALEV Nigar , ERDEMLİ Muhyettin , KAYAPALI Bengü
Published: December 2022

Enflasyon ve işsizlik tüm dünya ekonomilerinde olduğu gibi Türkiye ekonomisi açısından da çözülmesi gereken sorunların başında gelir. Para ve maliye politikalarının temel hedefi olan ekonomik istikrara tam istihdam ve fiyat istikrarının birlikte sağlanması ile ulaşılabilir. Tam istihdam için işsizlik, fiyat istikrarı için enflasyon probleminin çözülmüş olması gerekir. Bu nedenle bu iki sorunun eşanlı hareketini incelemek önemlidir. Phillips eğrisi, enflasyon ile işsizlik arasındaki zıt yönlü ilişkiyi ifade etmektedir. Ancak yapılan çalışmalar bu kuralın geçerli olamayabileceğini ortaya koymuştur. Bazı çalışma sonuçları işsizlik ve enflasyon arasında ters yönlü ilişkinin varlığını gösterirken, bazı çalışmalar ele alınan dönem, ülke/ülkeler ve analiz yöntemleri nedeniyle pozitif yönlü veya anlamsız ilişkinin varlığını göstermiştir. Gelişmiş ülkeler için Phillips eğrisinin incelenmek istendiği bu çalışmada, Türkiye ile G-7 olarak ifade edilen Almanya, Amerika Birleşik Devletleri, Birleşik Krallık, Kanada, Fransa, Japonya ve İtalya’nın enflasyon ve işsizlik verileri kullanılmıştır. Panel nedensellik testinden elde edilen sonuçlar, panel genelinde enflasyon ile işsizlik arasında çift yönlü nedensellik ilişkisi olduğunu ortaya koymuştur.
Adjustments and Additions in Construction Contracts’ Agreements An Originating Jurisprudential Study
Authors: Al-Luhaidan Khalid
Published: December 2022

This paper discussed adjustments and additions to construction contracts’ agreements under the Islamic jurisprudence, and it aimed at discovering their reality, importance, causes, conditions, types, modes, impacts, and the related rulings. The researcher followed the inductive analytical deductive method, and the most significant findings reached include that adjustments are of great significance in modern contract agreements, and the ruling of compensation in adjustments vary according to the mode involved. It was recommended that jurisprudential research and study is carried out on the adjustments in model agreements contracts and the Arab laws, and the practical judicial applications, and paying more attention to the conditions that are peculiar to contract agreements, and the evolving issues therein.
The systematic treatment of the problem of implementing administrative provisions in light of the issuance of the Administrative Execution Law for the year 1443 AH IN SAUDI ARABIA
Authors: Al-Azzam Saad , Hadid Samir
Published: December 2022

This research addresses the implementation of administrative judgments and is therefore of the utmost importance to the extent to which the Administration respects judgments that possess the force of the judgment. This is a manifestation of the rule of law and institutions. It is a measure of States' classification. The aim of this research is to know how administrative judgments are enforced, especially those against the administration, and what mechanisms have been put in place by the Saudi organization to deal with the phenomenon of refraining from executing administrative judgments. The adequacy of the safeguards and means adopted by the implementation system before the courts of the Ombudsman's Office in order to compel the Administration and the Public Officer to implement in case of unjustified failure to implement.
DESIGN OF P&O AND FL BASED MPPT CONTROLLERS OF PV ARRAY BY USING POSITIVE SUPER LIFT DC/DC BOOST CONVERTER
Authors: KOCALMIŞ BİLHAN Ayşe , EMİKÖNEL Serenay
Published: December 2022

The electricity which is generated from the photovoltaic (PV) module needs a couple of requirements for utilizing. Firstly, the PV module should work in maximum power point, and secondly, it is needed a power conversion unit. To calculate to Maximum Power Point (MPP) of a PV module or array, solar radiation, ambient temperature, cloudiness ratio, and even wind speed have to be considered. In this paper, the duty cycle of the power conversion unit has been calculated by considering solar radiation. In these calculations, a conventional method which is perturb and observation (P&O), and another approach which is fuzzy logic control (FLC) were studied and compared by using MATLAB/Simulink.
Teaching Australian Indigenous Studies: Non-Indigenous academics negotiating structural impediments in a regional context
Authors: Hook Genine , Jessen Nikki
Published: December 2022

This paper examines the experiences of two non-Indigenous academics in a regional Australian university who taught/coordinated a first-year course, Introduction to Indigenous Australia (SCS130). Drawing on our own experiences, we explore the implications and contentious nature of non-Indigenous academics teaching Indigenous Studies and align this discussion with structural critique. As non-Indigenous academics, some argue that it is culturally disrespectful and pedagogically problematic for us to deliver this course. We consider that the work of embedding Indigenous perspectives should not be relegated solely the responsibility of Indigenous academics, and that our teaching contributes to reconciliation and begins to fill a significant gap in awareness and understanding among Australian students in higher education. The course SCS130 aims to introduce students to Indigenous perspectives through narratives, film, documentaries, academic and non-academic texts, biography and art. The objective of the course is to engage students with the complexity of colonisation and its ramifications for constructions of individual and national identities. Student survey qualitative data is used to provide an analysis of the course and to illustrate the conflict between our pedagogic practice, student expectations and the structural impediments to our decolonising teaching aims.
Fata ho poto: Tongan science learners and engagement, enjoyment and success in secondary school and university settings
Authors: Fonua Sonia , Fonua Fire U. F. A. T. M. I. , Fonua Reverend Pitasoni T. , Fonua Lavinia T.
Published: December 2022

Engagement and success are prominent in education discussions, research and policy in Aotearoa New Zealand and globally. Yet, little is known about how successful Tongan science learners define engagement, enjoyment or success, and which teaching and learning experiences have enhanced or detracted from their engagement, enjoyment and success during their studies. This article shares the stories of 26 successful Tongan science learners who participated in talanoa (open discussion without an agenda) about their engagement, enjoyment and success in secondary and university science education in Aotearoa, and, for some, their schooling in Tonga. The Manulua framework (Fonua, 2021) informed how their stories were gathered, analysed and woven together. The article presents the Fata ho poto model to demonstrate how engagement, enjoyment and success are considered by successful Tongan science learners. This model is useful for those increasing Tongan and Moana/Pacific learning achievement. It offers important insights related to the role of education policy and practice in shaping notions of engagement, enjoyment and success among Tongan and Moana/Pacific learners.
A Study on Investors Perception towards Investment Plans in Bhubaneswar
Authors: Mishra Dr. Somabhusana Janakiballav , Rout Prof. Debasish
Published: December 2022

Human life is risky and uncertain. In the same way future is also non-committal. But still, we think of future and future of our family with respect to financial security, balanced life, and a manageable livelihood. There comes the role of investment and investment does not include only future but sacrifice of some of the present aspirations. We invest only to prevent the uncertainties by getting good returns. Different financial and investment companies are in market to attract customers with different mouth-watering return plans, but the investors choose the one, which is stable, consistent and has a good track record. The present study is an attempt to explore the mindset of the investors and their perception towards different investment plans.
Investigating the Effect of the Oil Curse on the Creation of a Rentier Government and the Reduction of Economic Growth in Iran
Authors: Ahmadabadi Ali
Published: December 2022

In this article, we will examine the category of the oil curse; how it affected Iranian revolution in 1979, and then the change of a royal system to an Islamic Republic system and its growth and maturity in the form of a corrupt system in the Islamic Republic of Iran (I.R. Iran) regime. In other word, the experience of the Pahlavi royal system (1979-1925) after the third and fourth periods of development plans (1962-1968) (1968-1972), and at the beginning of the fifth period of development plan (1973-1979) after suffering from the curse of oil due to the increase in income from The increase in the world price of oil, which was obtained due to the defeat of the Arabs in the Yom Kippur War and then the global embargo of oil by the Arabs.
Factors Risk Incident Primary Hypertension in Communities in Working Areas Public Health Center Medan Marelan Year 2022
Authors: Zaim Anshari
Published: December 2022

High blood pressure or hypertension (Hypertension) is a condition where a person experiences an increase in blood pressure above normal as indicated by systolic numbers and diastolic numbers on blood pressure checks using blood pressure gauges either in the form of mercury cuffs (sphygmomanometers) or instruments other digital. This study is a descriptive study with a cross-sectional approach (cross-sectional study), where this study aims to determine the description of risk factors for Primary Hypertension in the working area. Age distribution showed that as many as 47 respondents (50%) patients with primary hypertension were in the middle age category (45-59 years). Based on the results of data analysis the most dominant sex was female with a total of 61 (64.9%), Based on the analysis of family history data, the more dominant family history with a history of hypertension was 48 (51.1%). Based on the analysis of salt consumption data, it was found that hypertensive patients who frequently consumed salt amounted to 80 (85.1%). consumption of fatty foods found that hypertensive patients who often consume fatty foods amounted to 59 (62.8%), Based on the results of data analysis smoking history found that hypertensive patients who smoke amounted to 22 (23.4%), Based on the results of physical activity data analysis found that patients who enough physical activity totaling 54 (23.4%), Based on the results of the analysis of the status data g izi found that patients with BMI ≥30 totaled 19 (20.2%), while hypertensive patients with BMI <30 totaled 75 (79.8%)
The Studies Qualitative about Incident Stunting in Toddlers Age 0 – 6 in Medan Belawan District
Authors: Wilda Yunita  , Maimunah  , Helfrida Situmorang
Published: December 2022

Study this conducted for describe about incident stunting in toddlers aged 0-6 years in Medan Belawan District , Medan City , North Sumatra Province . Problem child short ( stunting ) is one problem nutrition faced in the world, especially in poor and developing countries . Based on results and discussion research , then could concluded that many experienced child  stunting in Medan Belawan sub -district, Medan City , North Sumatra Province because a number of factor that is lack of deep parental knowledge Thing this is mothers and cadres Integrated Healthcare Center about issue stunting that alone . Society especially moms reluctant for attend counseling about issue stunting with reason busy . So that they no understand about MP-ASI because a number of mother already introduce child with MP-ASI even at a very old age early . Besides because lack of knowledge , height number stunting is also caused by conditions economy society that can said low so that not enough capable for Fulfill all needs nutrition child and mother .
ANFIS-based Parameter Estimation of a Single Phase Inverter Circuit with Isolation Transformer
Authors: ASLAN Büşra , BALCI Selami , KAYABAŞI Ahmet
Published: December 2022

In this study, it is aimed to isolate the output interface of single-phase inverter circuits and the grid from each other. For this purpose, three-dimensional isolation transformers are designed with a software using the In order to determine the leakage inductance behavior of the isolation transformer, whose electromagnetic modeling was carried out with Ferrite N87 core material, the geometric distances of the primary-secondary windings and the diameter sizing of the windings were changed in parametric linear steps, and a data set was obtained as a specific parametric scenario for the leakage inductance values. Thus, the estimation process of the electromagnetic modelling of the transformer has been successfully carried out thanks to the training and testing processes of Adaptive Network Based Fuzzy Inference Systems (ANFIS) with the numerical information obtained from the finite element analysis (FEA) parametric data set. After the estimation processes, the percentage error is calculated as 0.3470% and 0.4448% for training and testing. Thus, the determination of the isolation transformer with the optimum values designed for the inverter circuit has become easier. Also, experimental analysis is performed on inverters to prove the robustness of the proposed method. In this context, first of all, RMS values that vary according to the different operating parameters of the inverters are created. The proposed ANFIS based system estimates RMS values with 7,057 % error.
Discurso histórico-crítico sobre la «Balada incompleta y probablemente apócrifa del Santo Cuerpo Iluminado» de La saga/fuga de J. B.
Authors: Casas Rigall Juan
Published: December 2022

El capítulo I de La saga/fuga de J. B. va precedido por una «Balada incompleta y probablemente apócrifa del Santo Cuerpo Iluminado», en donde se recrea la inventio de las reliquias de santa Lilaila de Éfeso, patrona de Castroforte del Baralla. Esta composición, paródica, revela un fino conocimiento de tradiciones culturales y literarias de ascendencia medieval por parte de Gonzalo Torrente Ballester. El presente trabajo intenta ponerlas de relieve y glosarlas. Para lograr este objetivo, la biblioteca personal del autor es una guía inestimable.
El ingenioso hidalgo José Bastida. Ecos cervantinos en la obra de Gonzalo Torrente Ballester
Authors: Poláková Dora
Published: December 2022

Gonzalo Torrente Ballester (1910-1999) se ha declarado discípulo de Cervantes en su concepto de la creación novelística. El artículo rastrea esta herencia en textos teóricos torrentinos (sobre todo El Quijote como juego, 1975) y en su novela cumbre, La saga/fuga de J. B. (1974). Nos centramos en el aspeto lúdico del género de la novela, en el protagonista José Bastida (que presenta semejanzas con el personaje cervantino) y en la presencia del humor y del mito en las obras de Torrente Ballester.
La saga/fuga de J.B como (video)juego
Authors: Gil González Antonio J. , Navarrete Cardero Luis
Published: December 2022

El interés, incluso teórico, de Torrente Ballester por el juego y sus relaciones con la ficción literaria ha quedado de manifiesto en el título de su conocido trabajo crítico sobre el Quijote (Torrente Ballester, 1984) que parafraseamos aquí aplicado a La saga/fuga de J. B. A la luz de algunos trabajos anteriores, este ensayo plantea la posible alegorización previrtual del juego en esta obra, para muchos, cumbre de la novelística torrentina. En la lectura crítica de este virtual videojuego, José Bastida –J. B., trasunto alófono de G.T.B.– es el narrador interactivo –o internarrador, a su vez remedo del diseñador o game designer, como en The Beginner’s Guide (Everything Unlimited, 2015) de Davey Wreden– que ha creado el mundo de Castroforte y los J. B.; pero este, a medida que va cobrando existencia y autonomía, se comporta como una Inteligencia Artificial que interactúa con su diseño de una manera abierta a múltiples combinaciones impredecibles que escapan a su control: tal es la saga… La fuga, por su parte, se erige ahora enseguida en su símbolo emblemático, cuando Bastida lo descubra, y con ello la posibilidad de quedar atrapado dentro de la historia en forma de variaciones y repeticiones infinitas (perfecta metáfora del medio videolúdico y sus mecánicas, por otra parte), y el objetivo se convierta en abandonar el mundo virtual que ha creado, como si de una escape room o de un videojuego del género de evasión se tratase.
OSHQOZON-ICHAK KASALLIKLARIDA ISHLATILADIGAN, ALOE O’SIMLIGIDAN OLINGAN OZIQ-OVQAT QO’SHILMASINING ANTIOKSIDANTLIK XUSUSIYATI
Authors: Asqarov Ibrohimjon Rahmonovich , Xojimatov Maxsadbek Mo'ydinovich , Mo'ydinov Muslimbek Mahsutali o’g’li
Published: December 2022

Mazkur maqolada oshqozon-ichak kasalliklari kelib chiqish sabablari, oshqozon-ichak kasalliklarini davolashda ishlatiladigan sintetik dori vositalari, aloe o’simligining kimyoviy tarkibi, aloe o’simligidan oziq-ovqat qo’shilmalarini olish, aloe o’simligidan olingan oziq-ovqat qo’shilmasining antioksidantlik xususiyati haqida ma’lumotlar keltirib o‘tilgan. Bundan tashqari oshqozon-ichak kasalliklarini tabiiy oziq-ovqat qo’shilmalari yordamida xalq tabobati usulida davolash usullari keltirilgan.
Light-Eye Interaction Physics Review
Authors: Owaid Ahmed Y , Muhsen Dhamiaa H
Published: December 2022

As a result of advanced digital technology, we have become increasingly reliant on a global connectivity device such as laptops, tablets, and mobile phones. So, the interaction of human eyes with the industrial light of such devices becomes full of dangers caused by the short distance and the long duration of the view. With specific details, this study discusses and supports the physics of light-eye interaction. The physical treatment of light-eye interaction shows that the transmitted parts of the eye do not have a considerable amount of reflection, diffraction, scattering, or absorption of light rays, so they allow light to pass through them freely with some refraction. It has been established that about 98% of the incident light rays can pass through the eyes to reach the retina. The optical transmittance spectrum of the human eye has been shown to have a Gaussian shape with a center wavelength between 200 and 1400 nm. The duration of view, distance of vision, and shielding by a glassy substance have all been demonstrated to be effective procedures for protecting ourselves from the harmful effects of the screen light of handheld and tabletop digital devices. Moreover, it is reinforced that the prolonged viewing time on mobile devices is one of the most serious factors that leads to health problems in the eyes.
Hybrid Battery Balancing System for Electric Drive Vehicles
Authors: KOCYIGIT Davut , AYTEN Umut Engin
Published: December 2022

In electric vehicles, cell and module voltage equalization plays a vital role in Battery Management System (BMS). The capacity, temperature, and aging imbalances in the cells and modules of electric vehicles battery packs restrict the amount of power that can be delivered to the vehicle. Spurred by this issue, we propose a new class of battery balancing systems, called hybrid balancing, capable of simultaneously equalizing battery capacity while enabling cost-effectiveness of cell-level passive balancing and module-level active balancing, modules consist of a number of cells connected in series, with cell-level passive balancing performed in a module, together with the module level switched capacitor that performs active balancing among the modules. The strategy is called hybrid balancing because it pursues goals beyond conventional state-of-charge equalization, including temperature and power capability equalization, and minimization of energy losses. Design details and MATLAB Simulink simulation results are provided for a hybrid balancing system implemented on a lithium-ion battery pack.