bluuebunny/crossref_metadata_2025 huggingface dataset:
Forecasting the Number of Public Health Medical Beds in China: Based on ARIMA Model
Authors: Liu Xinyi
Published: December 2024

This study employs the ARIMA model to forecast hospital bed availability in China from 1994 to 2023, with a focus on predicting bed numbers for the subsequent five years (20242028). The analysis encompasses two principal phases: the first phase involves forecasting future bed numbers based on historical data, and the second phase evaluates the accuracy of these forecasts by comparing them with actual data from 2021 to 2023. Using the ARIMA(0,2,0) model, the study demonstrates a robust and reliable forecast, revealing a steady increase in hospital bed counts. The accuracy of the model's predictions is high, confirming its effectiveness for short-term forecasting and underscoring the importance of proactive healthcare infrastructure planning. Additionally, the study highlights potential areas for future research, including the integration of additional variables, exploration of alternative modeling approaches, extension of forecast horizons, and sensitivity analyses to enhance predictive precision. These contributions aim to assist healthcare planners and policymakers in addressing the evolving needs of China's healthcare system and ensuring adequate medical service provision.
Forecasting House Prices in Shanghai Using Common Factor Analysis and Multiple Linear Regression Analysis
Authors: Deng Zhewei
Published: December 2024

Predicting housing prices is critical for understanding economic trends and making decisions in real estate markets. This is accomplished by identifying important influencers and utilizing prediction models. Predicting these prices is essential for understanding broader economic trends and guiding decisions in real estate markets. The model was trained and evaluated using economic and financial data from the CEInet Statistics Database, with key variables representing major financial, demographic, and economic characteristics included. To estimate housing prices, a combination method combining common factor analysis and multiple linear regression was used. The KMO test result of 0.845 and the scores of Bartlett's Test of Sphericity (2=4296.29, p=0.000) confirmed the data's suitability for factor analysis. Factor analysis reduced the dimension of the dataset, revealing two important components responsible for 80.01% of the volatility in home costs. The multiple linear regression model based on these characteristics was tuned to attain good prediction accuracy. The model predicted housing prices in Shanghai with an accuracy of 94.54%.
Predicting Apple Stock Price Based on ARIMA Model
Authors: Cao Enshuo
Published: December 2024

ARIMA stands for Auto-Regressive Integrated Moving Average and is a popular statistical model to forecast time-series. It has since been used to predict the behaviour of time series based on historical data, and a wide range of applications in which it is useful like stock market forecasting, economic growth analysis, etc. While the ARIMA model has significant benefits, it is a model with limitations, particularly when the underlying data are polluted by noise or present non-linear patterns. Long-term forecasting with ARIMA is less accurate because it is a linear model which does not always accurately reflect the complexity or immediate changes found in most real-world financial data. Our focus will be on Apple stock price data from 2014 to 2024 (working days for simplicity), which we analyze using ARIMA model, and we compare with other analysis models. In this analysis, we would like to point out two things why ARIMA models are not suitable for longer-term market predictions and demonstrate how poorly it fits on nonlinear data.
An Overview of the Research Literature on the Topic of Supply Chain Management in the Shipping Trade
Authors: Chen Kangan
Published: December 2024

In consequence of the relentless advance of globalization and the ascendant position of the digital economy, the great significance of the management of supply chains against the background of international shipping trade is becoming increasingly critical. Optimizing supply chain management technology is now regarded as a necessary step for the development of enterprises.This paper presents a systematic and detailed review of the literature on the integration of shipping trade and supply chain management technology. Meanwhile, this paper examines how supply chain management is influenced by the globalization and digitalization trend, involving risk management and technology application. Additionally, it investigates the contribution of green supply chain management in reducing environmental impact as well as enhancing corporate social image. Through a comprehensive analysis of existing literature, this paper proposes future research directions and feasible solutions, aiming to provide a valuable reference for enterprises and scholars. Finally, this paper combines the current situation of the shipping trade industry with projections about the future, and proffers recommendations for how shipping companies can curtail costs and enhance efficiency, enhance environmental protection and competitiveness.
Japans Lost Decades: The Impact of Deflation and Reflections on the Post-Covid Era
Authors: Chen Ziyu
Published: December 2024

This paper examines three pivotal events that shaped Japans economic development trajectory: the Asian financial crisis in 1997, the global financial crisis of GFC in 2008, and the health pandemic in 2020. These global crises revealed potential shortcomings in Japans financial structure, demography, and dependence on exports. The economic crisis that hit Japan in 1997 exposed the inadequacies of the nations banking system since non-performing loans and poor reforms crippled recovery. The 2008 GFC, which began in the United States, adversely affected the Japanese economy since many of its export products, such as automobiles and electronics, were affected. Nonetheless, attempts to revert the worst trends of Japans economic recession through stimulus plans and the manipulation of monetary policies were thwarted by the countrys shrinking working-age population, rapidly ageing population, and high public debt. This paper also expands on Japans post-COVID economic plans, where COVID-19 not only magnified pre-existing problems but facilitated a more digital shift in healthcare, education, and online shopping. However, Japan has long-term problems, including a decreasing population and a lack of financing sources for this problem. The factors that informed Japan's growth and development clearly show that reform of the financial sector, innovation, and economic diversification are key and should be done at the right time. The paper examines the approach to evaluating Japans responses to these crises, its lessons on crisis management, and structural changes for its continued economic stability.
Comparative Study on China's Public Rental Housing System and Singapore's HDB System
Authors: Wang Ru
Published: December 2024

Against the backdrop of rapid global urbanization, housing issues have become an important challenge facing all countries. This paper explores China's public rental housing system and Singapore's public housing system as two core strategies for addressing urban housing challenges. China's public rental housing, which seeks to give security to middle-class and low-income families, has undergone multiple developmental stages since the 1980s and eventually formed a comprehensive system covering basic housing security. In contrast, Singapore's public housing system has emphasized the goal of Home Ownership for All, promoted high homeownership rates, and covered a wider range of income groups since its implementation in the 1960s. This paper points out the key differences between the two systems regarding policy objectives, coverage, funding sources, and management efficiency.The paper concludes by examining the achievements and difficulties of Singapores public housing scheme and drawing inspiration for improving China's public rental housing system in combination with China's actual situation. It also provides recommendations for addressing Chinas housing crisis and looking forward to Chinas future.
The Impact of the Fed's Monetary Policy Adjustment on China's Macro-economy
Authors: Yang Mingda
Published: December 2024

In the context of highly integrated global economies, the Federal Reserve (Fed), as the central bank of the United States, exerts widespread and profound influence through its monetary policy adjustments. This paper systematically analyzes the mechanisms and extent of the Fed's monetary policy adjustments on China's macroeconomy. First, this paper explored the main tools and recent adjustment paths of the Fed's monetary policy, including interest rate policies, quantitative easing (QE), and balance sheet reduction. Second, this paper analyzed how these policy adjustments are transmitted to the Chinese economy via international capital flows, exchange rate fluctuations, and changes in trade conditions. The study finds that Fed rate hikes can lead to a stronger U.S. dollar, prompting capital to flow back to the United States and exerting depreciation pressure on the Chinese yuan. This, in turn, affects China's export competitiveness and inflation levels. Additionally, increased volatility in global financial markets may pose challenges to China's financial stability. Finally, this paper propose policy recommendations for China to effectively respond to the Fed's monetary policy adjustments, including strengthening macro-prudential management, improving the exchange rate mechanism, and deepening financial market reforms.
The Role of AI, IoT, and MIS in Facilitating the Digital Transformation of Supply Chains
Authors: Jia Chengqian
Published: December 2024

Management Information Systems (MIS) have gradually become the technical cornerstone to help enterprises optimize the quality of decision-making. However, relying only on the data support provided by MIS is insufficient to help enterprises complete the supply chain's efficient allocation and high-frequency management. This paper aims to explore the feasibility of promoting the digital transformation of the supply chain in China's transportation industry by combining emerging technologies such as the Internet of Things (IoT), Artificial intelligence (AI), and Management Information Systems (MIS). It has been found that a strong combination of AI, IoT, and MIS technologies can effectively promote the digital transformation of the supply chain. However, there are still many challenges in practical application. Therefore, this paper proposes the interaction model of these three technologies. IoT inputs the information generated in the operation and stores it in MIS, providing data support for AI's intelligent analysis. Then, the instructions issued by AI are transmitted directly to MIS. Finally, the IoT controls the physical entity that executes these decisions. In addition, this paper summarizes the problems and reasons that may exist in applying MIS, IoT, and AI technology in the transportation industry at this stage. It is found that many problems, including low utilization efficiency of MIS, low willingness of front-line operators to use it, differences in information transmission protocols, and high cost of AI training, hinder these three technologies to promote the digital transformation of the supply chain.
Estimate Companys Profit Using Least Squared Method and Random Forest Model
Authors: Zhang Bingkun
Published: December 2024

Profit plays a significant role in company operations. It reflects operational efficiency and market competitiveness of a company. Companies not only rely on profit for their survival but also use it as an important parameter for decision-making. Moreover, Profitable companies are better positioned to fulfill social responsibilities. Therefore, companies consider profit to be one of the most important parameters. Another parameter that significantly impacts companies is cost. Costs play a unique role in the formulation of a company's business strategy, financial health analysis, and other areas, closely related to each enterprise's competitive advantage. Therefore, reducing costs and increasing profits have become the goals pursued by every profit-oriented enterprise. Finding the relationship or pattern between these two important pieces of data becomes even more significant. By establishing a model, the company can use the known patterns and existing cost data to estimate profits, thereby creating plans that better align with its future development. This paper aims to explore the relationship between cost and profit by categorizing total cost into three classes: R&D costs, marketing costs, and administrative costs. A sample size of 1,000 is used in this research to build ordinary least squares and random forest models to analyze the relationships between these attributes.
The Current State and Future Development Directions of Camera Supply Chain Management
Authors: Ni Baixin
Published: December 2024

Modern camera supply chain management is constantly evolving in the context of globalization, digitalization, and rapid technological advancements, becoming a key factor for camera manufacturers to improve efficiency, reduce costs, and tackle market competition. This study delves into the current state of the camera supply chain, exploring the many challenges and potential opportunities within it. The research shows that while a globalized supply chain brings significant cost benefits to manufacturers, it also presents risks of supply chain disruptions, rising cost pressures, and increasing management complexity. By introducing advanced technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain, manufacturers can enhance the transparency, flexibility, and sustainability of the supply chain. Furthermore, promoting green supply chain management practices will help companies achieve more efficient supply chain management while reducing their environmental footprint. This study ultimately suggests diversification of supply chains, technological innovation, and sustainable development as the core strategies for future camera supply chain optimization to address the complex and volatile market environment.
Dynamic Interactions and Mutual Influences Between the HuShen 300 and S&P 500 Indices: An Econometric Analysis
Authors: Li Zechen
Published: December 2024

This study investigates the intricate interactions between the HuShen 300 Index and the S&P 500 Index, emphasizing their implications for global financial dynamics. Utilizing daily closing prices from January 1, 2010, to the present, employing the Vector Autoregressive (VAR) model to analyze the mutual influences of these stock indices. The Augmented Dickey-Fuller (ADF) test confirms the stationarity of both time series, allowing for robust econometric analysis. The findings reveal that shocks to the S&P 500 Index significantly impact the HuShen 300 and vice versa, with effects lasting up to eight periods. Notably, the variance decomposition indicates that the S&P 500 accounts for approximately 2.224% of the fluctuations in the HuShen 300, while the latter explains around 0.103% of the changes in the S&P 500. These results highlight the interconnectedness of these markets, providing valuable insights for investors and policymakers regarding potential spillover effects and vulnerabilities in the global economy. This research addresses a notable gap in the existing literature and contributes to a deeper understanding of market dynamics in the context of international finance.
Research on the Impact of CHAGEE's Social Media Marketing Strategies on Chinese High School Students' Purchase Intentions
Authors: Huang Yu
Published: December 2024

Through its healthy tea drinks, unique brand culture, and effective social media marketing, CHAGEE has successfully attracted many young consumers, rapidly expanding in the market and establishing a strong brand influence. This study explores how CHAGEE enhances high school consumers' purchase intentions through new media marketing, beverage taste, and packaging design, product visual appeal and brand image, collaboration with KOLs, and brand partnerships. In order to ensure the representability of the data, the author set several multiple-choice questions on the program, and then published the online survey on the Chinese platform Little Red Book for two weeks, collecting some data from high school students in various regions of China. The survey shows that consumers mainly learn about CHAGEE through TikTok and word-of-mouth, and choose to purchase because of its taste and appearance. The visual appeal of the brand and the brand image are also very important. It is also suggested to collaborate with KOLs or launch co-branded limited editions to enhance social media marketing effectiveness.
Gold Price Forecast Based on ARIMA and ETS Models
Authors: Su Zihan
Published: December 2024

The prediction of gold prices is of paramount importance in the financial sector due to gold's role as a safe-haven asset during periods of global economic uncertainty and market volatility. Accurately forecasting gold prices can help investors, policymakers, and businesses make informed decisions regarding investments, risk management, and hedging strategies. This paper utilizes ARIMA (Auto Regressive Integrated Moving Average) and ETS (Error-Trend-Seasonality) time series models to forecast future gold prices. Both models have been applied extensively in financial forecasting, each with unique strengths in handling different time series characteristics. This study aims to compare the prediction accuracy of these two models using Root Mean Square Error (RMSE) as the evaluation metric. The results show that while both models are effective in capturing the underlying trends in gold prices, the ARIMA model outperforms the ETS model with a lower RMSE of 56.80 compared to 61.51 for the ETS model. This comparative analysis contributes to the field of gold price forecasting by identifying the strengths and limitations of each model and providing insights into their applications in the context of financial time series forecasting.
The Impact of Big Data on the Fashion Industry
Authors: Gong Yucheng
Published: December 2024

This study explores the impact of big data on the fashion industry. Through analysis of market trend forecasting, supply chain management, personalized design and customization, optimization of marketing strategies, acceleration of market responsiveness, enhancement of market competitiveness, and improvement of consumer experience, the potential applications of big data in the fashion sector are further elucidated. The research reveals that big data can effectively boost overall operational efficiency in the fashion industry, enabling companies to achieve precise marketing, optimize inventory management, shorten time-to-market for products, reduce operational costs, and enhance market competitiveness. However, the application of big data in the fashion industry also presents challenges such as data security and privacy protection, risks of data breaches, security of data storage and transmission, and barriers to data analysis technology. Therefore, when utilizing big data technologies, businesses must strengthen data security measures, enhance data analysis capabilities, ensure the lawful use of data, and strive for sustainable development.
Efektivitas Program Asistensi Mengajar dalam Kesiapan Menjadi Guru Pada Mahasiswa FKIP Universitas Ekasakti
Authors: Lubis Reni Respita , Gumanti Dessyta
Published: December 2024

The Teaching Assistance Program at the Faculty of Teacher Training and Education has an important role in preparing students to become professional and competent teachers. This study aims to analyze the effectiveness of the program in improving student teaching readiness. The approach used is qualitative with a descriptive-analytical method. Data was collected through in-depth interviews, observations, and documentation. Data analysis is carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawing. The results of the study show that the Teaching Assistance Program provides significant hands-on experience for students in managing classes, developing learning plans, and interacting with students. Factors supporting the success of the program include the guidance of senior teachers, the support of partner schools, student motivation, and their involvement in curriculum management. Based on these findings, it is recommended that the quality of guidance be improved, cooperation with partner schools is strengthened, and program evaluations are carried out periodically. Thus, this program can run more optimally in preparing competent teacher candidates.
Implementasi Metode Bermain dalam Menstimulasi Kemampuan Kognitif dan Sosial Anak Usia Dini
Authors: Masdiana Maula  , Rukiah  , Rukiyah Ity
Published: December 2024

This research aims to describe the implementation of play methods in stimulating the cognitive and social abilities of young children. The research was conducted using a descriptive qualitative approach. The research subjects consisted of 17 Buah Hati Kindergarten children aged 5-6 years, who were selected using a purposive sampling technique based on the children's involvement in play activities designed by the teacher. Data was collected through observation, interviews and documentation, then analyzed using the Miles, Huberman and Saldana model including data collection, data condensation, data presentation and conclusion drawing, with triangulation validation techniques and sources. The results of the research show that play activities that are applied systematically, such as playing with blocks, stick men, making weapons from banana stems, and matching pictures of flags, make a significant contribution to children's development. Block games train logic, creativity and problem-solving skills. Stick man games hone creativity and critical thinking skills through discussion and collaboration. The activity of making weapons from banana stems fosters imagination, gross motor coordination and cooperation, while the flag matching game improves memory, symbol recognition and social interaction. The conclusion of this research confirms that play methods, if well designed and relevant, can be an effective learning strategy in supporting the cognitive and social development of early childhood.
Peran Kolaborasi dalam Perguruan Tinggi
Authors: Rahmawati Aulia , S Rinny , Rahmi Sri
Published: December 2024

This research aims to analyze the role of collaboration between universities in improving the quality of education and research. This research uses a literature review method by collecting data through in-depth analysis of various relevant and reliable sources, such as scientific journals, academic books, research articles and other documents that support the research topic. The data analysis process uses a qualitative descriptive approach, where the collected data is analyzed by identifying main themes, patterns and key concepts from the literature reviewed. The results of the analysis show that collaboration in higher education is an important strategy in improving the quality of education and research. Based on the analysis that has been carried out, it can be concluded that collaboration between universities is proven to have a significant role in improving the quality of education and relevance of research. Through partnerships, universities can share resources, such as facilities, experts and knowledge, which have a positive impact on academic development and graduate competency.
Implementasi Model Pembelajaran Berbasis Gamifikasi untuk Meningkatkan Minat Belajar Anak Usia Dini
Authors: Nurnaningsih Sri Maya , Malik Lina Revilla
Published: December 2024

This research aims to increase early childhood interest in learning at Nur Hikmah Samarinda Kindergarten through a gamification-based learning model. The background to this research is children's low interest in learning caused by less interesting learning methods. This research uses a qualitative approach with a classroom action research design carried out in two cycles. Data was collected through observation, interviews and documentation. The research results show that the application of gamification can increase children's attention, enthusiasm, active involvement and independence in learning. The discussion shows that gamification is effective in increasing learning motivation based on learning theories. In conclusion, gamification is an effective learning model for increasing early childhood interest in learning at Nur Hikmah Samarinda Kindergarten
Pengaruh Persepsi Pendidikan terhadap Minat Siswa Kelas 12 SMA Muhammadiyah 1 Taman dalam Melanjutkan Pendidikan Ke Perguruan Tinggi
Authors: Cahyati Eci , Musfiroh Lailatul , Putri Noviana Ramadhani , Pangestu Jesti Argi Yuan , Ananta Imelia Tsabitah , Wulandari Ayu
Published: December 2024

This study aims to analyze the effect of analyzing students' perceptions on their interest in continuing their education at a higher level, which was conducted at XII level students of SMA Muhammadiyah1 Taman. This study is expected to reveal the extent to which students' perceptions of the importance of education affect their interest in continuing their education at the college level. Using a quantitative approach, the research utilized questionnaires as the data collection method. The test results show that there is a significant influence between students' perceptions of education on their interest in continuing their education at the tertiary level, with a significance value below 0.05. This shows that variable X (student perceptions) has an effect on variable Y (interest in continuing education).
Manajemen Strategi dalam Membangun Brand Image Lembaga Pendidikan di SMK Mambaul Ulum Paiton Jou
Authors: Yaqin Muhammad Ainul Yaqin , Moh Rifqoni Maulanal Qodri  , Moh.Sya'roni
Published: December 2024

The purpose of this research is to describe management functions, supporting factors and inhibiting factors in building the brand image of Mambaul Ulum Paiton Vocational School. This research uses a qualitative approach with the aim of describing the strategy for building the image of Mambaul Ulum Paiton Vocational School through management functions, which are composed of planning, organizing, implementing and evaluating, without the intention of drawing general conclusions or generalizations. Data collection techniques include interviews, observation, and document analysis. The research results show that planning includes setting goals/targets, needs analysis, strategy, determining resources, implementation and evaluation of planning. Organizing includes resource allocation, task assignment, determination procedures, and organizational structure. Direction involves service leadership, verbal motivation, public relations job descriptions, and policies according to planning. Monitoring and evaluation includes evaluation of success, corrective action, and solution action. Supporting factors include the achievements of the principal, staff or employees, as well as the achievements of students. Inhibiting factors include a lack of human staff, a lack of personal computer units, and a lack of budget.
Persepsi Mahasiswa Terhadap Penerapan Metode Gamifikasi Bertema Harry Potter pada Mata Kuliah Konsep Dasar Bahasa Indonesia Sekolah Dasar
Authors: Janattaka Nugrananda , Satria Aditya Pringga , Oktaviarini Nourma
Published: December 2024

The purpose of this study is to explore the method of applying gamification using the Harry Potter theme from the perspective of students, and explore the benefits of the gamification method using the Harry Potter theme from the perspective of students. The research method is qualitative with the instruments used being questionnaire sheets, interview sheets and documentation. The data collected is analyzed through several processes, namely data reduction, data presentation, and conclusion drawn. Based on the results of the questionnaire and interview, it can be concluded that 80% of students know the gamification method, then 90% of students stated that the Harry Potter-themed gamification method can increase student motivation, then 90% of students stated that the Harry Potter-themed gamification method can help students understand the material, 88% of students also stated that lecturers' innovations in designing Harry Potter-themed games, and 88% of students stated that gamification can change students' attitudes during Learning
Kemampuan Pemecahan Masalah Matematika Ditinjau dari Disposisi Matematis Siswa Kelas VII SMPN 7 Bukittinggi
Authors: Putri Rayla Osvita , Rahmat Tasnim , Imamuddin M. , Medika Gema Hista
Published: December 2024

This research is based on the low mathematical problem-solving ability of students, one of which is because during the learning process students tend to be silent and not confident when answering the practice questions given, there is no courage to answer every question given. The purpose of this study is to find out students' mathematical problem-solving ability reviewed from mathematical disposition. This type of research is a qualitative description research. The research subjects were selected 3 students out of 29 students, namely, one student for each category of mathematical disposition, including high, medium, and low mathematical disposition categories. The instruments used are questionnaire instruments, mathematical problem-solving ability tests, and interview guidelines. The data analysis techniques used are data reduction, data presentation and conclusion drawn. The data validity technique used is triangulation technique. Based on the results of this study, students with a high category of mathematical disposition have a level of mathematical problem-solving ability with a very good category. Then students with a moderate category of mathematical disposition have a level of mathematical problem-solving ability with a sufficient category. Furthermore, students with a low category of mathematical disposition have a different level of mathematical problem-solving ability, which is less and less
Pemanfaatan Media Digital dalam Menarik Minat Siswa di SD/MI Terhadap Pembelajaran PAI
Authors: Herlina Herlina , Astuti Mardiah , Triyunita Haza , Rahmawati Tri Diah , Yana Nuzul
Published: December 2024

This study aims to examine the utilization of digital media in attracting the interest of elementary and Islamic elementary school (SD/MI) students in Islamic Religious Education (PAI) learning. The primary focus of this research is to identify effective types of digital media, their application methods, and the impact of their use on students' interest and understanding. The study employs a qualitative approach with a literature review method, using research data sourced from articles indexed in Google Scholar and Sinta. The findings reveal that various forms of digital media, such as audiovisual media, e-learning platforms (WhatsApp, Google Classroom, Zoom), storytelling, animations, YouTube, and the Shofun application, have been implemented in PAI learning. The utilization of these media can enhance students' motivation, creativity, and understanding of PAI materials. However, several obstacles are identified, such as teachers' limited understanding of technology and infrastructure constraints. The positive impacts of using digital media include facilitating material delivery, increasing student interaction, and overcoming spatial and temporal limitations. This study provides recommendations for educational practitioners to optimize the use of digital media to support more effective and engaging PAI learning for students
School Heads’ Innovativeness, Leadership Competence, and Productivity
Authors:   reynantealagos@gmail.com https://orcid.org/0009-0007-6978-9053 Guimaras State University Buenavista, Guimaras, Philippines, M. Alagos Reynante
Published: December 2024

This study investigates the innovativeness, leadership competence, and productivity of school heads among elementary schools in the Schools Division of Antique, Philippines, for the school year 2023-2024. Using a descriptive-correlational research design, the study assesses the levels of these competencies and their interrelationships, while identifying significant differences across demographic factors such as age, sex, educational attainment, school type, and length of service. Findings reveal that while school heads generally exhibit high levels of innovativeness and leadership competence, significant differences exist based on educational attainment. Moreover, a positive relationship between leadership competence and productivity is observed. The study emphasizes the need for targeted professional development to enhance school heads’ competencies in fostering an effective learning environment.

Keywords: Innovativeness, Leadership Competence, Productivity, School Heads, Philippines
Dimensions of constructive elements of forest roads
Authors: Petković Vladimir , Laketa Aleksandar , Gavrić Dragana , Marčeta Dane
Published: December 2024

Forest roads must be maintained in a condition that allows them to handle traffic loads at any given time, which is only achievable if their dimensions remain within the prescribed limits. The dimensions of the elements of the plan, profile, and cross-section of forest roads depend on factors such as soil type in a constructive context, the category of the forest road, and the type of vehicles that will use these roads. In this study, a forest road constructed on soil types IV, V, and VI was examined, and its dimensions were determined. The share of soil type in constructive sense is 63% of V category, 34% of IV category and 3% of IV category. The average width of the roadway is 6.11 m, with an upgrade of approximately 3% and a downgrade of 6.5%. The cross slope of the roadway is 3.1%, while the slope of the cut areas is 120% (1.2:1), and the slope of the fill areas is 86% (0.86:1). It was concluded that the forest road is in a condition capable of accommodating traffic load. However, attention should be given to the wider roadway width and the lower slopes of the cut and fill areas, as these may require adjustments to ensure efficiency and safety.
Study of Antioxidative and Antibacterial Activity of Extracts of Plant Species Lysimachia vulgaris L. and Lythrum salicaria L.
Authors: Mekić Lejla , Horozić Emir , Cilović-Kozarević Ermina , Husejnagić Darja
Published: December 2024

Two highly invasive plant species, Lysimachia vulgaris and Lythrum salicaria are well-known for its anti-inflammatory, hemostatic, and antidiaroic activity. These plants are most widespread on the territory of Euroasia, where their traditional medicinal use has been reported. Due to their invasiveness, they are undesirable plants in  other parts of the world. Till this day, many studies were conducted regarding the biological and pharmacological activity of L. salicaria. In this study, the polyphenol content of plant extracts was examined using the Folin-Ciocalteou method. Antioxidant activity of selected plant species was also determined, using DPPH and FRAP methods. Extracts of different polarities were prepared using methanol, water, and acetone. Extraction was performed by maceration and ultrasonic extraction. The results of the study show that both plant species possess antioxidant activity. Lythrum salicaria extracts show a significant polyphenol content and antioxidant capacity, with results notably higher than the results of studies conducted so far. The different antioxidant activity of the prepared extracts confirms the influence of solvents and extraction methods on the utilization of the antioxidant potential of plants. Additionally, for the aqueous extracts prepared by ultrasonic extraction method, an in vitro study of antibacterial activity was conducted. Both plant species show antibacterial activity, with an emphasis on the very strong antibacterial activity of L. salicaria extracts against selected bacterial strains.
ДЕЯКІ «ГЕНДЕРНІ ПИТАННЯ» П’ЄСИ ГЕНРІКА ІБСЕНА «ЛЯЛЬКОВИЙ ДІМ»
Authors: Гладишев Володимир
Published: December 2024

У розвідці-продовженні попередніх авторських наукових досліджень драми видатного норвезького письменника Генріка Ібсена «Ляльковий дім» зосереджено увагу на деяких гендерних питаннях усесвітньо відомого твору, який закріпив славу Ібсена як творця «нової драми», соціально-психологічної драматургії в цілому. Розгляд жіночої долі за часів, коли суспільство відверто нехтувало правом жінки бути самостійною людиною, надає можливість простежити в історичному аспекті деякі моменти протистояння консервативної суспільної моралі та передових суспільних тенденцій, що передбачають прагнення будь-якої особистості боротися за власну гідність. Усупереч поширеним суспільним уявленням про жінку як безправну (на соціальному й моральному рівнях) істоту Ібсен демонструє нам духовне переродження головної героїні, її прагнення обстоювати своє право на повагу до себе та особисте щастя.
Comparison of SVM, Random Forest, and Logistic Regression Performance n Student Mental Health Screening
Authors: Wijaya Vannes , Rachmat Nur
Published: December 2024

Mental health is an essential aspect for university students, as undetected mental health disorders can have a significant impact on students' academic performance and well-being. This study contributes by evaluating Synthetic Minority Oversampling Technique (SMOTE)'s role in improving classification models' performance. Despite the increasing use of machine learning in mental health detection, limited research has addressed the challenges posed by imbalanced datasets, particularly in smaller student populations. This research aims to develop a mental health early detection system based on student data from Multi Data University Palembang using the Mental Health Scale (SKM)-12 mental health measurement. The system aims to remind students' awareness of the importance of mental health. To improve accuracy, this research compares the performance of three models, namely Support Vector Machine, Random Forest, and Logistic Regression, both with and without using SMOTE. The dataset obtained is 78 students, and SKM-12 consists of several groups, namely optimal mental health profile with symbol (+-), maximum mental illness profile with symbol (++), minimum mental illness profile with symbol (--), and minimal mental health profile with symbol (-+). The results of this study using the Logistic Regression method using SMOTE obtained better model performance compared to other methods, with an accuracy of 89.28%, an average class precision of 89.5%, an average class recall of 89.75%, and an average F1 - class score of 88.5%. This research shows that overcoming class imbalance using SMOTE can significantly improve the performance of mental health classification models.
A COUPLE’S STORY – SCENARIO AND ANTI-SCENARIO
Authors: Цыганова И.В.
Published: December 2024

В докладе на конкретном примере семейной пары рассматривается модель отношений партнеров. Даётся понимание, как метод системных расстановок на фигурках помогает семейному психотерапевту работать с внутренними образами семьи каждого из партнеров с целью выхода из трудно разрешаемых противоречий к балансу отношений.

The report examines the model of partner relations using a specific example of a married couple. It gives an understanding of how the method of systemic constellations with action figures helps a family therapist to work with the internal images of each partner's family in order to get out of difficult contradictions to balance relationships.
EMOTIONAL INTELLIGENCE AND ITS INFLUENCE ON THE PSYCHOSOMATIC PROCESSES OF THE HUMAN BODY
Authors: Сумароков М.Г.
Published: December 2024

В этой статье представлена на рассмотрение информация об эмоциональных проявлениях человека в психосоматике их влияние на организм.

This article presents information about emotional manifestations of a person in psychosomatics and their effect on the body.
SALIERI SYNDROME AND THE ROLE OF PSYCHOTHERAPY IN THE PREVENTION OF PATHOLOGICAL AGGRESSION AGAINST MODERN OBJECTS OF ENVY
Authors: Пеев И.П.
Published: December 2024

Синдром Сальери – это понятие в психологии, предполагающее возникновение чувства зависти на почве профессиональной ревности, дискредитацию чужого успеха и патологическую агрессию в адрес объектов зависти. Доклад рассматривает происхождение, сущность, причины и содержание синдрома Сальери, его современное проявление и значение. В докладе раскрыта роль психотерапии в превенции патологической агрессии в адрес современных объектов зависти.

Salieri syndrome is a concept in psychology that presupposes the emergence of feelings of envy on the basis of professional jealousy, discrediting someone else's success and pathological aggression against objects of envy. The report examines the origin, essence, causes and content of Salieri syndrome, its modern manifestation and significance. The report reveals the role of psychotherapy in the prevention of pathological aggression against modern objects of envy.
CONSTELLATIONS: A METHOD THAT REALLY WORKS
Authors: Поднебесная Е.Б.
Published: December 2024

В данной статье представлены результаты исследования эффективности системных расстановок – метода групповой краткосрочной психотерапии. Спустя полгода после расстановки были опрошены все 85 клиентов, прошедшие соответствующую терапию в период с февраля 2022 года по октябрь 2023 года в центре «Открытая реальность» г. Москва. В последствии полученные данные подверглись статистическому анализу. Результаты показали, что в 71% случаев расстановка привела к заметным положительным изменениям в состоянии проблемы клиентов.

This article presents the results of a study of the effectiveness of systemic constellations, a method of group short-term psychotherapy. Six months after the constellations, all 85 clients who underwent appropriate therapy in the period from February 2022 to October 2023 at the Center «Open Reality» in Moscow were interviewed. Subsequently, the data obtained were subjected to statistical analysis. The results showed that in 71% of cases, the constellations led to noticeable positive changes in the state of the client's problem.
PERLIDUNGAN HUKUM WEDDING ORGANIZER PADA PERJANJIAN KERJASAMA DENGAN KONSUMEN WANPRESTASI
Authors: Silfy Maidianti
Published: December 2024

Wedding organizer yang selalu memberikan pelayanan dan rasa aman serta nyaman terhadap calon pasangan pengantin yang sering kali merasa sangat tertekan, frustasi, dan gelisah dalam menghadapi hari besar disepanjang hidupnya. Dalam hal ini antara Wedding Organizer dengan Konsumen terlebih dahulu membuat sebuah Perjanjian/Kesepakatan, Perjanjian kerjasama yang dipakai oleh pihak wedding organizer memakai perjanjian sepihak dan berlandaskan perjanjian standar (baku) karena memberikan kewajiban pada seseorang sekaligus memberikan hak kepada konsumen untuk menerima prestasi yang telah dibuat, dan memberikan perlindungan hukum terhadap pihak-pihak yang melakukan perjanjian. Penelitian ini bertujuan: (1) Perjanjia Kerjasama, (2) Perlindungan Hukum Wedding Organizer Pada Perjanjian Kerjasama dengan Konsumen Wanprestasi. Jenis Penelitian adalah yuridis normatif pendekatan yang digunakan teknik pengumpulan datanya melalui meneliti bahan kepustakaan. Hasil penelitian ini menunjukan bahwa memberikan perlindungan hukum terhadap pihak-pihak yang melakukan perjanjian sehingga ketentuan yang diatur didalam sebuah kontrak dapat terlaksana dengan baik dan mempunyai batasan-batasan hak dan kewajiban antara pengguna jasa dengan pihak wedding organizer yang terlibat didalam perjanjian Kerjasama tersebut. Dan apapun bentuk perjanjiannya harus memenuhi syarat-syarat sahnya suatu perjanjian yang ditentukan Undang-Undang, karena dikatakan bahwa apabila suatu syarat objektif tidak dipenuhi maka perjanjian batal demi hukum.
Imagined encounters, transformative potentials
Authors: Bauer-Amin Sabine
Published: December 2024

Encounters do not start with physical meetings, but rather with the affective attributions of producing or developing knowledge of another person in advance of meeting them. Certain encounters are more desired than others, solidifying pre conceived notions of difference or helping to divert them. Even encounters that have not (yet) happened can create an affective space filled with strong emotions such as fear or desire. It is the affective complexity of just such an unrealistic encounter that this article addresses, based on fieldwork amongst a Vienna-based Arab collective of artists. Consisting largely of artists who were recently arrived as forced migrants, the collective sought to overcome the power asymmetry inscribed in their day-to day interactions by creating new forms of artistic engagement with the Austrian public. As I discuss, this desire came to influence their self-understanding, event planning, and internal knowledge production. By focusing on the potentiality inherent in encounters, this contribution asks how the imagining of desired encounters shapes subjectivities even when those encounters have not (yet) materialised.
Analisis Bisnis Model Canvas Pada Operator Jasa Online Ride-Sharing Noompang
Authors: Yusnita Fitri , Novalia Nidya , Darawati Amalia
Published: December 2024

Innovation in the transportation sector with the principle of sharing economy has created a new service industry sector, namely online ride-sharing services. Companies can display in a simple but comprehensive manner the nine essential components of a business. A business model is a method that helps companies tell stories about the internal conditions of the company. This study aims to analyze the business model of Noompang using the Business Model Canvas analysis. This research uses descriptive-exploratory method. Data collection using the ghost interview method to the selected driver. Data obtained from interviews with partners, both drivers and passengers Noompang in Bandung - Jakarta and the results of studies of supporting literature. The results obtained from this study are that Noompang benefits from profit sharing with partner companies, profit sharing with driver partners, benefits from the Ovo e-wallet, and benefits from Google / Apple on application downloads.
The potency of the adaptive cooperative learning model in strengthening numeracy performance of secondary school students: Education policy insights
Authors: Susilawati Eni , Muslim Suyitno , Khaerudin Khaerudin , Yansyah Fikri
Published: December 2024

The students' numeracy skills in Indonesia still need improvement. In order to strengthen numeracy skills for students, it is necessary to develop learning strategies that provide a fun and engaging learning environment for students by life involving the roles of parents, peers, and the community. This study aims to evaluate the effectiveness of the Adaptive Cooperative Learning model, developed by the researchers. Using a quasi-experimental design, the research involved a Cohort of around 32 students who participated in the product testing phase. The study incorporated a pretest, an experimental period, and a post-test. The findings revealed a marked improvement in student performance following the implementation of the Adaptive Cooperative Learning model, with the average score increasing to 79.44 and a standard deviation of 9.9. This equates to an N-gain of 0.77, which falls within the high range, suggesting that the model is effective in enhancing numeracy performance. The study concludes with several policy insights aimed at shaping future educational reforms in Indonesia, specifically in the area of numeracy teaching.