bluuebunny/crossref_metadata_2025 huggingface dataset:
Calculation and Application of Stock Investment Strategy Using the Mean-Variance Model
Authors: Li Zhenglin
Published: December 2024

Currently, Chinas stock market experiences significant fluctuations and is in a poor state. Investors urgently need a set of scientific methods to create a reasonable investment portfolio. This paper adopts the Mean-Variance Model and selects the domestic A-share market from October 29, 2021, to March 29, 2022, as the study period. It studies the frontier portfolio of each target stock based on prospective earnings and risk control. Finally, it determines the most appropriate investment portfolio to help investors minimize risk while maximizing returns. This paper uses mathematics to intuitively show why the worse the economic environment, the higher the investment risk. And further research finds that the greater the difference between selected target stocks, the greater the difference in weight ratio, and the smaller the number of stocks left in the final portfolio. At the same time, this paper introduces the real number optimization model to make the conclusion obtained from the mean variance model have universal applicability.
Big Data and Precision Marketing New Era Strategy to Improve Marketing Effectiveness
Authors: Li Hao
Published: December 2024

This article explores the application of big data technology in precision marketing and analyzes its advantages and potential risks. On the one hand, big data analysis gives companies the ability to gain more accurate insights into consumer behavior, thereby formulating more targeted and personalized marketing strategies. Through the use of the Internet and mobile devices, consumer data is increasingly accessible, which has promoted the transformation from traditional marketing to precision marketing. On the other hand, big data marketing also faces challenges such as data privacy protection and the "information cocoon" effect. Although technologies such as data anonymization and encryption can reduce the risk of privacy leakage, companies need to increase the transparency of data use and give users more control over their data. The article points out that the "information cocoon" effect is a potential negative impact of the algorithm recommendation mechanism, which may lead to a narrow user perspective and social division. Platforms and companies should strive to improve the transparency of algorithm recommendations and encourage users to actively obtain diversified information to alleviate this problem.
The Study on Employee Motivation and Financial Performance
Authors: Ling Chenxin
Published: December 2024

Equity-based incentives are an indispensable component of corporate incentive mechanisms, aligning the interests of business operators and managers with those of shareholders. This alignment encourages operators to prioritize shareholder value, thereby significantly impacting a company's financial performance. The equity reward scheme has become extensively accepted by Internet and high-tech enterprises worldwide. This study looks at SMIC's equity incentive program. SMIC is an example company that is listed on the Sci-Tech Innovation Board (STAR Market). By analyzing SMIC, the study aims to gain more insight into the benefits of equitable incentive programs, identify the current challenges associated with these systems, and propose strategies to help companies effectively address the challenges posed by equity incentive mechanisms. Technology-driven businesses can retain critical staff and foster innovation by offering equity incentives. It is recommended that other companies listed on the STAR Market consider SMIC's approach as a reference, tailoring equity incentive plans to their specific developmental stages and technological needs to achieve sustainable technological progress, market expansion, and enhanced competitive advantages.
How Game Design Incentivize Heavy Engagement and Over Consumption
Authors: Ma Junjie
Published: December 2024

In the digital age, the widespread popularity of smart products has significantly boosted the number of users of games, making them more accessible and diverse. This paper explores the intersection of behavioral economics and game design, focusing on how psychological principles can be used to motivate player engagement and spending. By analyzing key concepts such as loss aversion, the sunk cost fallacy, immediate versus delayed rewards, and social comparisons, this article demonstrates the principle that drive the success of modern gaming platforms. Using case studies, this paper shows how these principles influence player behavior and improve engagement and profitability. These findings highlight the critical role of behavioral economics in shaping the gaming experience and provide insights for developers and marketers aiming to sustain user growth and revenue. Future research could delve into the ethical implications of these mechanisms and their long-term implications for consumer behavior.
The Psychological Mechanism and Marketing Strategy Behind "Impulse Consumption": A Case Study of Hey Tea
Authors: Zhu Jiayi
Published: December 2024

In today's fast-paced living environment, impulse spending has become a common phenomenon. Faced with various products, consumers are often driven emotionally to make irrational purchasing decisions. This consumption behavior not only impacts an individual's financial situation but also profoundly affects marketing strategies. This paper takes Hey Tea as an illustrative example to explore the psychological mechanism of impulse consumption and analyze how to stimulate and guide this consumption behavior through marketing strategies. The results of this study aim to reveal the intrinsic drivers of impulse consumption and provide theoretical support and practical guidance for the development of more effective marketing strategies.
Stock Market Prediction Method Based on Simple Market Feature Data and the Attention Framework
Authors: Ding Yiran
Published: December 2024

As financial markets become increasingly complex and volatile, traditional statistical and machine learning methods reveal limitations in accurately predicting market trends. The introduction of deep learning techniques, particularly models like Long Short-Term Memory (LSTM) networks and Convolutional Recurrent Neural Networks (CRNN), has significantly enhanced the precision of market forecasts. However, these models often fail to account for the inherent uncertainties of financial markets, leading to poor predictive performance under extreme market conditions. To address this issue, this paper proposes a stock market prediction method that integrates attention mechanisms, bi-directional LSTM, and generative Transformers. By leveraging the attention mechanism and bi-directional LSTM to learn complex patterns within time series data, a model for forecasting stock market trends is constructed. This model is further combined with a generative Transformer to introduce a method for predicting future stock market movements. This paper conducts a performance analysis of the stock market prediction models using Attention as the framework, as well as the combined model (prediction model + generative Transformer), based on selected metrics. The experimental results demonstrate that the stock market prediction model exhibited a good fit across most subjects, with exceptionally strong performance on certain specific cases. The research aims to contribute a novel modeling framework to the field of financial market prediction, analyzing the advantages and disadvantages of this approach and providing insights and guidance for future research.
A Study on the Global Commercial Operations and Pricing Strategies of Tier-1 Automobile Brands: The Case of Mercedes-Benz
Authors: Huo Lingrui
Published: December 2024

Mercedes-Benz is one of the world's top luxury car brands, with The best as its brand philosophy, it is committed to creating the best product quality, the most comfortable driving experience and the most reliable safety performance. This study explores the current situation and achievements of Mercedes-Benz, followed by the problems and suggestions for the future development of Mercedes-Benz. It discusses how three main pricing strategies skimming pricing, segmented-line pricing, and value-based pricing have given Mercedes-Benz its status as a luxury vehicle. The research highlights the dilemma that exits for Mercedes-Benz right now. The study emphasizes as Mercedes-Benz faces future risks to the global economy, how should it respond to these risks in order to benefit its future growth. The research also emphasizes Mercedes-Benz is now a Nash equilibrium in the electric car industry. This article summarizes where Mercedes is now, what Mercedes is proposing going forward and suggestion.
The Role of Artificial Intelligence and Machine Learning in Quantitative Finance and Stock Market Forecasting
Authors: Zheng Tongyu
Published: December 2024

This study investigates the application of artificial intelligence (AI) and machine learning (ML) in quantitative finance, financial technology, and stock market forecasting. Emphasizing their ability to manage large datasets and improve financial predictions, the research details the entire methodology, including data collection, preprocessing, model selection, simulation, and outcome analysis. Linear regression models, particularly suited for stock price prediction, are used alongside Python libraries such as Scikit-learn and TensorFlow to facilitate large-scale implementation. The study also evaluates other models, including Artificial Neural Networks (ANN), Support Vector Machines (SVMs), and Decision Trees, applied to tasks like stock price forecasting and credit risk classification. Results demonstrate that AI and ML significantly enhance financial forecasting accuracy and improve portfolio management. Furthermore, this research highlights the strengths and limitations of current techniques and suggests potential advancements through the integration of AI with technologies such as blockchain and quantum computing. Future directions include exploring these emerging technologies to further increase efficiency and innovation in the financial sector.
Forecasting the NASDAQ Index - Based on Diversified Analytical Models
Authors: Cao Lin
Published: December 2024

The NASDAQ Composite Index, a critical barometer of market trends heavily influenced by technology firms, poses significant forecasting challenges due to various external influences, such as economic conditions and geopolitical developments. This study delves into the predictive capabilities of three prominent time series modelsExponential Smoothing (ETS), Autoregressive Integrated Moving Average (ARIMA), and Linear Regression are key forecasting techniques used for time series analysisutilizing monthly closing data spanning from September 2019 to August 2024. A comprehensive analysis is conducted to compare these models based on Root Mean Squared Error (RMSE) and Akaike Information Criterion (AIC) are important metrics used for evaluating model performance. The findings indicate that ARIMA, with its robust mechanism for handling non-stationary data, provides superior forecasting accuracy compared to the other models. In contrast, while ETS demonstrates effective forecasting capabilities, particularly in capturing level and trend, Linear Regression is found lacking due to its challenges in accurately capturing the intricate dynamics and temporal dependencies of the market. These findings offer important insights for investors, highlighting the need for sophisticated and detailed forecasting methods in the constantly changing financial environment. Additionally, this study paves the way for future research that could incorporate external factors, like macroeconomic indicators and sentiment analysis, while also examining the promise of machine learning techniques to enhance the precision and robustness of financial market forecasts. This holistic approach could significantly improve the understanding of market behavior and inform better investment strategies.
Cryptocurrencies and Start-up Financing: Innovative Applications of Blockchain Technology
Authors: Guo Jialin
Published: December 2024

This paper investigates the role of blockchain technology in revolutionizing start-up financing, focusing on the integration of cryptocurrencies through Initial Coin Offerings (ICOs) and Security Token Offerings (STOs). The research aims to explore how decentralized financial systems provide innovative alternatives to traditional funding methods like venture capital. Key topics of analysis include the advantages of blockchain technology, such as enhanced transparency, security, and global accessibility for start-ups. At the same time, the paper addresses significant challenges, including legal uncertainties and operational risks. Case studies of companies like Blockstack and Telegram illustrate the practical applications of ICOs and STOs, shedding light on both their potential and associated risks. The findings suggest that while blockchain can democratize access to capital, its long-term viability will largely depend on the development of comprehensive regulatory frameworks and greater investor protections. Overall, the study provides valuable insights into how blockchain technology could transform the future of start-up financing, fostering a more efficient, secure, and inclusive financial ecosystem.
Lessons from the 1998-2002 Argentine Economic Crisis for Todays Latin American Economy
Authors: Ren Fanglin
Published: December 2024

This paper analyzes the reason of the Argentina Great Depression in the 1990s and compares it with the 21st century Latin American economic crisis. The causes of the Argentina Great Depression serve as a remarkable alarm towards the current situation of the Latin American economy. The Latin American economy is currently facing surging inflations, mounting external debts, and unpredictable external shocks. Hence, there are many lessons that can be drawn from the Great Depression to Latin American countries and potential strategies that could alleviate the devastating impact on the economy. This paper first compares the economic situation and fiscal policies of Argentina and Latin America. Then, the paper analyzes the distinct rehabilitation process of the Argentine government and evaluates the steps that are applicable to the Latin American economy. Finally, this paper suggests on the rehabilitation process that Latin American country could take in recovery and revive its economy back to prosperity.
Application and Challenges of Six Sigma in SCM: A Case Study of Heilongjiang Z Company
Authors: Zong Zhiqiang
Published: December 2024

This paper takes Heilongjiang Z Company as a case study to explore the application and challenges of the Six Sigma methodology in the supply chain quality management of the specialty wax industry. Initially, the paper analyzes the background and current situation of the specialty wax industry, highlighting challenges in supply chain management such as unstable raw material supply, low production efficiency, lax quality control, and slow market response. Subsequently, it outlines the Six Sigma methodology and provides a detailed account of how Heilongjiang Z Company has utilized Six Sigma to optimize raw material procurement, enhance product quality and production efficiency, and strengthen market adaptability. Through the Six Sigma implementation process comprising Define, Measure, Analyze, Improve, and Control phases, the paper demonstrates how Z Company has reduced delays in raw material supply and production downtime, thereby cutting costs, increasing customer satisfaction, and boosting market competitiveness. Ultimately, the paper concludes that the Six Sigma methodology can effectively improve the efficiency of supply chain management in the specialty wax industry and offers suggestions for improvement strategies for other companies within the sector.
A Study on the Consumption Psychology of Young Chinese Parents Towards Childrens Educational Apps
Authors: Sheng Xinyi
Published: December 2024

With the development of network technology, childrens educational apps have gradually become an indispensable auxiliary tool in family education, especially in alleviating the pressure on young parents and promoting childrens cognitive development. This study delves into the consumption psychology of young Chinese parents towards childrens educational apps, providing a basis for app developers to optimize their products and promote the development of childrens education. The study was conducted through a questionnaire survey targeting young parents aged 26-35, and 40 valid questionnaires were collected through social media platforms. The survey covered aspects such as the parents considerations for choosing apps, functional preferences, information access channels, concerns, and willingness to pay. The results show that content quality is the most important factor for young parents when selecting childrens educational apps. When purchasing apps, privacy protection is the most concerning issue for parents. In addition, user experience, changes in childrens interests, content update frequency, and app performance are the main factors affecting parents' continued use of the apps.
The Impact of Chanel Brand Heritage on Trust and Loyalty Among Chinese Female Luxury Consumers
Authors: Weng Xin
Published: December 2024

With the rapid development of the global luxury market, brand heritage is becoming increasingly important in shaping consumer perceptions of luxury value and loyalty. This study explores the impact of Chanel's brand heritage on the trust and loyalty of Chinese luxury women consumers. As a leading brand in the global luxury industry, Chanel has a long history of heritage, classic product design, and unique brand culture. This study examines how brand heritage affects different dimensions of luxury value perception, including emotional, economic, functional, and social value. The relationship between brand heritage and luxury value perception is explored in depth by analyzing the history of brand heritage of the luxury brand Chanel and the female consumers in the Chinese market. The findings of this study contribute to an understanding of how brand heritage shapes consumer loyalty in the luxury market and provide managerial insights for both traditional heritage brands and emerging luxury brands seeking to establish a heritage-based value proposition.
The Research of Alashan Agate -- Taking Crystal as a Case
Authors: Zhang Wanxin
Published: December 2024

To enhance Alashan Agate's market recognition and trust, it has adopted various marketing strategies. First, it cooperates with vegetarian bloggers to break the distance between the brand and consumers through real recommendations and enhance its credibility. Secondly, it cooperates with divination insiders to combine agate with cultural beliefs of feng shui and luck enhancement to enhance the brand's cultural identity. In addition, collaborate with the fashion industry to enhance the brand's sense of trendiness and market coverage through fashion bloggers showcasing fashionable pairings of onyx jewelry. Meanwhile, drawing on the marketing model of successful doll brands, it cooperated with face bloggers to showcase the unique design of Onyx and attract appearance-conscious consumers. The combined use of these strategies has successfully expanded Alaska Agate's market reach and enhanced consumer recognition and loyalty to the brand.
Bifurcated Real Estate Market The Impacts of Home Office Trends on Commercial Real Estate and Urban Economics
Authors: Shen Yinan
Published: December 2024

This paper explores how remote and hybrid work modes are changing the US real estate market in the wake of the pandemic. The research shows that there is a clear segmentation of the market. Specific industries such as technology, finance and professional services requiring high-end office space to support their operations and brand image. Retail, healthcare and manufacturing all have a high demand for physical space due to their specific industry characteristics. This creates regional differences, with high-demand areas able to thrive while others struggle. Futhermore, the paper suggests the implementation of rental subsidies targeted at physical sectors such as retail and dining. This is a benefitial way to increase the demand for real estate and reduce the tax burden on local governments. Additionally, it recommends the repurposing of unused real estate for public services which would drive economic growth. Overall this would increase economic stability and support a more balanced real estate market.
The Optimization Model of Borda Count Method Based on Blockchain Consensus Mechanism
Authors: Hu Zhiliu
Published: December 2024

The Borda Count method, a widely used ranked voting system, is known for its fairness and simplicity. However, when applied to large-scale voting systems, it faces challenges related to computational complexity, scalability, and system reliability. This paper proposes an optimization model for the Borda Count method by integrating blockchain consensus mechanisms, including Proof of Work (PoW), Proof of Stake (PoS), and Byzantine Fault Tolerance (BFT), aiming to enhance the voting process's efficiency, accuracy, and fault tolerance.We explore how blockchain technology can address the computational challenges of Borda Count, ensuring secure, transparent, and decentralized voting while maintaining high system reliability. By leveraging blockchain's immutability and consensus mechanisms, the proposed model significantly reduces computational overhead, increases the robustness of the system against node failures, and improves the accuracy of the voting results.This paper presents an in-depth analysis of the Borda Count method and blockchain consensus mechanisms, outlines a novel optimization algorithm, and provides a theoretical evaluation of the model's performance. We conclude by discussing the advantages of integrating blockchain with Borda Count for distributed voting systems and suggest potential directions for future research.
Five-Year Fracture Rate for Transgender and Gender Diverse Patients on Gender-Affirming Hormone Therapy
Authors: Jacobson Alicia R. , Whitney Daniel G. , Mamdouhi Tania , Janney Carol A. , Blaszczak Julie , Ahn Jaimo
Published: December 2024

Introduction:

Gender-affirming hormone therapy (GAHT) is a cornerstone of gender-affirming care for transgender and gender diverse (TGD) patients, with a direct biological role on bone metabolism. However, a paucity of data describes how GAHT influences fracture rate over time. The study's primary objective was to describe the 5-year all-cause fracture incidence rate (IR) among TGD patients initiating estrogen-based GAHT (E-GAHT) or testosterone-based GAHT (T-GAHT), compared with TGD patients not using GAHT (non-GAHT).

Methods:

This retrospective cohort study of TGD adults aged 18 to 65 years used insurance data from the Merative MarketScan Commercial Database (MarketScan) from January 1, 2009, to December 31, 2019. The main outcome was IR (IR with 95% confidence intervals [CIs]) of all-cause fracture after up to 5 years of follow-up. The IR ratio was estimated by comparing E-GAHT and T-GAHT groups with the non-GAHT group. Cox proportional hazards regression models estimated the hazard ratio (HR) of fracture after adjusting for age, comorbidity status using Charlson Comorbidity Index (CCI), recent fractures, and study start year.

Results:

Nine thousand six hundred ninety-six TGD adults (E-GAHT [n = 1,131]; T-GAHT [n = 1,046]; non-GAHT [n = 7,519]) were identified using clinical and enrollment criteria. No differences in age (mean age [SD], 33.4 [13.2] years, 30.8 [11.7] years, and 33.2 [13.6] years, respectively) and CCI (percent with CCI = 0 [%CCI = 3+]; 86.7% [2.2%], 84.9% [1.4%], and 85.3% [1.9%]) were observed by group. The fracture IR was 13.9 (95% CI, 9.1 to 18.8) for E-GAHT, 15.3 (95% CI, 10.1 to 20.4) for T-GAHT, and 19.2 (95% CI, 16.9 to 21.4) for non-GAHT. Compared with non-GAHT, the crude IR ratio and fully adjusted HR was 0.73 (95% CI, 0.51 to 1.04) and 0.71 (95% CI, 0.49 to 1.02), respectively, for E-GAHT and 0.80 (95% CI, 0.56 to 1.14) and 0.78 (95% CI, 0.55 to 1.12), respectively, for T-GAHT.

Conclusion:

Based on United States commercial claims data, the use of GAHT was not associated with 5-year all-cause fracture IR.

Level of Evidence:

III
Analisis Distribusi Zakat di Indonesia: Porsi Penyaluran Zakat Kepada Asnaf Pada Tahun 2023
Authors: Sandie Sandie , Abdillah Abdillah
Published: December 2024

This study aims to analyze the distribution of zakat in Indonesia, focusing on the portion of zakat distribution to each asnaf in 2023. Zakat, as one of the pillars of Islamic economics, has an important role in reducing social inequality and improving people's welfare. The distribution of zakat in Indonesia is managed by various zakat institutions, one of which is Baitulmaal Munzalan Indonesia. This study uses a descriptive qualitative approach with content analysis to describe the distribution of zakat to five asnaf, namely fakir, poor, fi sabilillah, muallaf, and ibn sabil. The data used was obtained from 35 branches of Baitulmaal Munzalan throughout Indonesia in 2023. Data analysis was carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawn. The results of the study show that the allocation of zakat is more given to the poor and Fi Sabilillah, while the Fakir, Muallaf, and Ibn Sabil get a lower allocation. This study also identifies various factors that affect the imbalance in zakat distribution, such as limited data collection, priority of zakat institutions, and socio-economic factors. Recommendations are given to increase the equitable distribution of zakat in the future
Kepemimpinan Ideal dalam Al-Qur’an (Pandangan M. Quraish Shihab dalam Tafsîr Al-Mishbâh̲)
Authors: Abdullah M. Al-Zurzani G. , Nawawi Abd Muid , Nurbaiti Nurbaiti
Published: December 2024

This study aims to analyze the concept of ideal leadership in the Qur'an according to the view of M. Quraish Shihab. According to him, ideal leadership reflects the characteristics of the Prophet Muhammad (saw), which is identified by experts through the search of the Qur'an and Hadith. These characteristics include shiddîq (honest), amânah (trusted), tablîgh (delivering treatises), and fathânah (giving instructions). The research method used is a qualitative approach and a library research approach. Data collection is carried out through verses of the Qur'an using thematic (Maudhû'i), in other words the author tries to find the answer to the Qur'an by collecting verses of the Qur'an which has one goal, namely about ideal leadership. The results of the analysis show that the ideal leadership must have a character like the Prophet Muhammad (PBUH).
Faktor Penentu Keberhasilan Pembiayaan Syariah: Analisis Kepatuhan dan Pengelolaan Risiko dalam Pemberdayaan UMKM
Authors: Fawaid Fawaid , Saini Saini
Published: December 2024

This study analyzes the success factors of sharia financing at BMT NU Jambesari, based on the significance of sharia financing in empowering MSMEs as pillars of the Islamic economy. The study addresses gaps by emphasizing sharia compliance and risk management strategies as key elements of success. The research aims to analyze the factors that determine the success of sharia financing in empowering MSMEs. This research employs a descriptive qualitative method with data collected through interviews, observations, and documentation. The findings reveal that the success of financing relies on strong sharia compliance, adaptive risk management strategies, empowerment through training, and a community-based local approach that strengthens long-term relationships with clients.
Separação de resíduos sólidos urbanos na universidade Mandume Ya Ndemufayo: contributo para a sustentabilidade
Authors: Mambo António , Raimundo Eugénia Maria Victória Tavares
Published: December 2024

Context of the research: This study looks at the separation of Urban Solid Waste (MSW) at the origin, in the perspective of convergence with SDG 12 and the adoption of practices conducive to the mitigation of the harmful effects of waste on the environment. Preserving the environment is the responsibility of all active forces in society. The notion and effectiveness of recycling gave new guise to what was seen as useless waste. The separation of these waste according to its rules is an important stage of the recycling process, which brings several advantages to the environment and the economy, on which the concept of sustainability is based. For Angolan universities, having installed containers for solid waste disposal classified according to recycling rules is a quality indicator. Objective of the article: To understand how the packaging of Urban Solid Waste (MSW) that are produced at Mandume Ya Ndemufayo University (UMN) is done. Methodology: The research, by its design, is a case study with quantitative and qualitative approach, and to achieve its goal, we used a questionnaire survey made through the google form, with the participation of the 6 Dependent Bodies of the UMN. Results: It is observed that 83.3% of the Units that integrate the UMN do not separate organic solid waste from recyclables, while 16.7% sometimes performs the separation. Conclusion: The present study presents generic information about the conditions of packaging of MSW in the UMN as a sustainable practice, although it is not yet considered routine.
Transforming hospital crowd management: a case study on Pravesh electronic visitor management system
Authors:   Institute of Health Management Research, Bengaluru, Karnataka, India, Karpaga Priya P. S , G. Prabhune Akash ,   Institute of Health Management Research, Bengaluru, Karnataka, India
Published: December 2024

In this case study, we will delve into the development and impact of “Pravesh—An Electronic Visitor Management System,” envisioned to streamline hospital crowd management, especially in the IP and OP departments of small to large-scale hospitals in India. Dr. Kalaivani and Mr. Arun Senthilkumar (co-founders) were inspired by a personal encounter to improve patient care outcomes and reduce the manual workload of the hospital staff by streamlining the visitor and attender management. Pravesh was developed using a Low-Code/No-Code platform in combination with an Agile-based Scrum Framework. The application comprises two passes: a visitor pass which can be generated by scanning a QR code placed at the hospital registration desk, and an attender pass that will be issued to a patient’s attendee during an inpatient registration by the hospital front-desk executives. Pravesh was pilot tested at a 30-bedded hospital in Bengaluru, successfully demonstrating its effectiveness in saving staff time and improving patient safety by limiting the number of visitor footfalls at the hospital per day. The positive feedback received from the hospital crowd management. The incorporation of technology in healthcare settings has facilitated overcoming the challenges faced by healthcare professionals as well as patients. Additionally, the founders are planning to scale up Pravesh with new features to fit the specific needs of different hospitals to position itself in the current Indian healthcare ecosystem.
Local government election and democracy: evidence from Enugu State, Nigeria
Authors:   Social Science Unit, School of General Studies, University of Nigeria, Nsukka, Enugu State, Nigeria, Nkemdilim Onah Francisca , Onyemaechi Ugwuibe Christopher ,   Department of Public Administration and Local Government, University of Nigeria, Nsukka, Enugu State, Nigeria, Chukwuemeka Ngwu Elias ,   Department of Political Science, University of Nigeria, Nsukka, Enugu State, Nigeria
Published: December 2024

In the history of mankind, democracy is presumably the best among all the systems of government. Where it is practiced well, election is the means of determining the will of the people regarding their choice of political leaders. However, the local government elections conducted in Nigeria lacked those principles required in a democratic setting. This paper examines the extent to which democratic principles were flouted in local government elections in Nigeria with particular reference to local government elections conducted in Enugu State in 2022. The study adopted the elite theory. Data for the study were drawn from participant observation and review of authentic secondary sources. The study identified that the 2022 local government elections were neither fair, credible, nor transparent because of political influence which manipulated both the electoral process and the conduct of election and thereby denying the eligible voters the opportunity of choosing their preferred candidate. The study concluded that local government elections conducted in Enugu State in 2022 look like a mockery of election in a democratic setting. The study recommended among others that 1999 Constitution of the Federal Republic of Nigeria should be amended to grant full autonomy to local governments so as to loosen them from the control of the State governments, and also that the State Independent Electoral Commission be scrapped and replaced with Independent National Electoral Commission for the purpose of conducting local government elections in Nigeria.
Integrating induction and deduction in order to complement experiments and priors for the understanding, forecast, control, and foresight of apparently complex processes in molecular biology’s interactomics
Authors:   National Research Council of Italy @ Politecnico di Milano University, Milan, Italy, Liberati Diego
Published: December 2024

A developed battery of Systems and Control tools to manage complex processes is discussed, with application to a molecular biology example, namely, genes–proteins interactomic analysis within the cell: a kind of molecular complex bio-social networked communicating system. Such Systems and Control tools are shown to be a great help to understand the apparently hidden relationship behavior among agents−namely, genes and proteins−in order to provide consistent help to molecular biologists and physicians who may have to decide how to impact the interactomic.
ATUAÇÃO DA ENFERMAGEM NA URGÊNCIA E EMERGÊNCIA: EVIDÊNCIAS SOBRE AS MELHORES PRÁTICAS
Authors: Minasi Alex Sandra Avila , Borges Ana Carla Ramos , Gomes Letícia Calcagno , Amarijo Cristiane Lopes , Corrêa Leandro , Gomes Giovana Calcagno
Published: December 2024

Trata-se de um estudo bibliográfico sobre o trabalho que a Enfermagem desempenha nos serviços de urgência e emergência, áreas estas que exigem alta complexidade por possuírem uma demanda contínua por assistência rápida e eficiente. Os enfermeiros trabalham na estabilização inicial de pacientes que se encontram em situações críticas, assim como a implementação de protocolos de atendimento e a garantia da continuidade do cuidado. Este artigo explora os principais desafios enfrentados pela Enfermagem, a partir de uma pesquisa bibliográfica realizada nas plataformas Scielo, Google Academic e PubMed. Foi delimitado como problema da pesquisa: qual a importância dos profissionais da Enfermagem para o trabalho realizado nas Urgências e Emergências? O objetivo principal deste estudo é pesquisar sobre as atribuições da Enfermagem nos setores de Urgência e Emergência. Como resultados foram expostas leis sobre a atuação profissional do Enfermeiro, conceitos relacionados à Urgência e Emergência e informações condizentes com a atuação da Enfermagem nos setores referenciados.
MODERN AUTHOR’S MODALITY OF BODY-ORIENTED SYSTEMIC PSYCHO-KINESIOTHERAPY WITH REFLEX-MUSCLE MOVEMENT FOR SOMATIC STRESS AND ITS METHOD OF PERFORMING EXERCISES FOR RECOVERY AFTER PSYCHOLOGICAL TRAUMA (BOSPK RMM)
Authors: Самарина В.М. , Самарин А.Ю.
Published: December 2024

В статье представлен новый опыт в работе с телом через авторский, лечебно-оздоровительный метод телесной психотерапии, запатентованный в России как «Способ выполнения упражнений для восстановления после психологических травм», который лежит в основе современной модальности ТОПК РМД, с её новым психосоматическим подходом к возникновению и развитию психосоматических заболеваний, разрядки психотравмы, страха, агрессии без посттравматических последствий при помощи рефлекторно-мышечных движений, запускающих реакции самозащиты борьбы и бегства, как биологически необходимую функцию защиты от соматического стресса.

The article presents a new practice in working with the body through the proprietary therapeutic and revitalizing method of body psychotherapy, patented in Russia as A Method of Performing Exercises for Recovery after Psychological Trauma, which underlies the modern modality of BOSPK RMM, (TOPK RMD). It boasts a new psychosomatic approach to psychosomatic diseases development, release of psychological trauma, fear, and aggression without post-traumatic consequences with the help of reflex-muscle movements that trigger self-defense reactions of fight and flight, as a biologically necessary function of protection from somatic stress.
META-SKILLS IN THE PRACTICE AND TEACHING OF THERAPEUTIC HYPNOSIS
Authors: Снигур В.С.
Published: December 2024

Гипноз как инструмент имеет длинную историю, но до сих пор среди авторов и специалистов нет единства ни о том, как его концептуализировать, ни о том, как ему обучать. В данной работе обсуждается модель обучения терапевтическому гипнозу на основе метанавыков – совокупностей навыков, объединённых вокруг организующего принципа. Данная модель предлагает шесть ключевых принципов, организующих практику специалиста по гипнозу и позволяющих целенаправленно тренировать и отрабатывать умения, которые расширяют технический и личностный арсенал специалистов.

Hypnosis as a tool has a long history, but there is still no consensus among authors and specialists about either how to conceptualize it or how to teach it. This paper discusses a model for teaching therapeutic hypnosis based on meta-skills – sets of skills organized around an organizing principle. This model proposes six key principles that organize the hypnosis practitioner's practice and allow for focused training and practice of skills that expand the practitioner's technical and personal arsenal.
THE ROLE OF EDUCATIONAL PERSONAL THERAPY IN BECOMING A PROFESSIONAL
Authors: Свешникова М.А.
Published: December 2024

В статье рассматривается важность прохождения обучающей личной терапии на пути становления психолога.

The article discusses the importance of undergoing Educational Personal Therapy on the path to becoming a psychologist.
ONTOLOGICAL PSYCHOANALYSIS
Authors: Углев С.Л.
Published: December 2024

Онтологический психоанализ – концепт, обращающий внимание на онтологический характер таких параметров, как Другой, время, пространство, причинность, интерсубъективность, интерпретация. Основной идеей онтоанализа является идея феномена в контексте феноменологического различения, то есть феномена, не связанного со своим содержанием и являющимся причиной самого себя. Обращение к данному феномену, апсихологичного по существу, возможно лишь посредством амехании, или недеяния. В этом случае время можно онтологически рассматривать как особое событие жизни сознания, пространство – как место, рождающее особое событие как истину и смысл, причинность как исключённый для анализа атрибут, указатель на появившуюся возможность. Интерсубъективность как «трансцендентальное Мы»; интерпретацию как индукцию. Аналитик, или Другой, как создатель особого текста в широком смысле, включая молчание, индуцирующего встречу с эквивалентом и свидетель таковой встречи.

Ontological psychoanalysis is a concept that pays attention to the ontological character of such parameters as the Other, time, space, causality, intersubjectivity, and interpretation. The basic idea of ontoanalysis is an idea of a phenomenon in the context of phenomenological distinction, which means a phenomenon that is unrelated to its content and is the cause of itself. Reference to this phenomenon, which is apsychological, is possible only through amechania, or inactivity. In this case, time can be ontologically considered as a special event in the conscious life, with space as a place that gives birth to a special event as truth and meaning, and causality as an excluded attribute for analysis, a sign of the appeared possibility. Intersubjectivity as the «transcendental We» or the human capacity to prolong a thought, even one begun hundreds of years ago; interpretation as induction. The analyst, or Other, as the creator of a particular text in a wide sense, including silence, inducting an engagement with an equivalent and witnessing such an engagement.
WORKING THROUGH THE STAGE OF AGGRESSION IN THE GROUP OF PERSONAL TRAINING THERAPY (PTTH)
Authors: Амелькина Н.Б.
Published: December 2024

Агрессия может создавать особые трудности в процессе проведения обучающей личной терапии, особенно если в этом процессе участвуют кандидаты, имеющие в прошлом опыт эмоциональной и коммуникативной депривации, опыт травмы. Для будущих психологов и психотерапевтов именно стадия агрессии в групповой терапии чрезвычайно важна. На позитивном переносе как в группе, так и индивидуально, специалист имеет возможность очень хорошо и продуктивно работать, но при формировании негативного переноса и проявлении агрессии, когда в коммуникации начинает проявляться конфликтное ядро, то многие специалисты теряются и зачастую затрудняются найти выход из создавшегося положения. Чтобы специалисты помогающих профессий научились выдерживать на стадии агрессии свои агрессивные тенденции и могли работать с негативным переносом своих клиентов, им понадобятся навыки, которые возможно получить опытным путем, в том числе посредством участия в группах обучающей личной терапии. В настоящей статье сделана попытка анализа стадии агрессии в процессе групповой обучающей личной терапии и ставятся две основные задачи: 1) раскрыть особенности стадии агрессии в развитии группового процесса в обучающей личной терапии; 2) проиллюстрировать стадии агрессии в групповом процессе обучающей личной терапии как эффективного ресурса для дальнейшего прохождения развития группы и проработки запросов и задач кандидатов в группе обучающей личной терапии.

Aggression can create special difficulties in the process of conducting personal training therapy, especially if candidates2 with previous experience of emotional and communicative deprivation and trauma experience participate in this process. For future psychologists and psychotherapists, it is the stage of aggression in group therapy that is extremely important. On a positive transfer, both in a group and individually, a specialist has the opportunity to work very well and productively, but with the formation of a negative transfer and the manifestation of aggression, when a conflict core begins to manifest itself in communication, many specialists get lost and often find it difficult to find a way out of this situation. In order for specialists in helping professions to learn how to withstand their aggressive tendencies at the stage of aggression and be able to work with the negative transfer of their clients, they will need skills that can be acquired empirically, including through participation in personal therapy training groups. In this article, an attempt is made to analyze the stage of aggression in the process of group learning personal therapy and two main tasks are set: 1) to reveal the features of the stage of aggression in the development of the group process in personal training therapy; 2) to illustrate the stages of aggression in the group process of personal training therapy as an effective resource for further group development and working out the requests and tasks of candidates in the group of personal training therapy.
STRATEGIC DESIGN OF GROWTH PROCESSES IN BUSINESSES: A RESEARCH FOR SMEs IN THE CONTEXT OF RISK STRUCTURE AND PROFITABILITY RELATIONSHIP
Authors: Bağatır Ali , Kasımoğlu Murat
Published: December 2024

This study aimed to analyze the risk structure of SMEs and their relationship with their profitability by examining the importance of strategic growth stages in the growth processes of SMEs in different sectors. A survey was conducted on 421 participants, consisting of partners and senior and middle-level managers of SMEs operating in Turkey, with a history of at least five years, and operating financially in the first quarter of 2024. A survey consisting of three sections: demographic characteristics, company structure, and growth strategies scale was used as a data collection tool. Default risk was low in the majority of companies in all sectors and was below 10% (p>0.05). Strengthening public and political relations, company acquisition, and measurement and evaluation strategies were statistically significantly higher in companies in other sectors (p
Isolation and Screening of Bacteria with Antibiotic-producing Properties From the Soil at the Marmara and New Market Abattoirs, Wukari
Authors: Awujo Nkem Chinedu , Shahoro Musa Mu’azu , Ogodo Alloysius Chibuike
Published: December 2024

Antimicrobials are substances made by organisms that harm other organisms. Rising antibiotic resistance is a global issue, creating a need for alternative treatments. This study screened bacteria with antimicrobial properties from Marmara and New Market abattoirs in Wukari, Nigeria. Twelve soil samples were collected at each location from four sites: slaughtering, animal waste dumping, washing, and point of sale. Samples were taken at three soil depths: 0 cm, 10 cm, and 30 cm, totaling 24 samples. Isolates were screened and preliminarily identified using conventional methods. Eleven (11) bacterial species were isolated, which are Enterobacter species (N1, N2, N3), Pseudomonas species (N4), Staphylococcus epidermidis (N5), Escherichia coli (N6), Staphylococcus aureus (N7), Salmonella species (N8), Nessieria species (N9), Corynebacterium species (N10), Proteus species (N11), Bacillus species (N12) and Klebsiella species (N13). Enterobacter species was identified as the most frequently isolated organism. These isolates were further screened against some known human pathogens; Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Klebsiella pneumoniae and Salmonella species. The result showed that one of the Enterobacter species (N1) has activity on all the pathogens, the other Enterobacter species (N2) has activity against four except Klebsiella pneumoniae and the last Enterobacter species (N3) has activity also against four pathogens except Salmonella species while Pseudomonas species have activity against three of the pathogens except Klebsiella pneumonia and Escherichia coli. Lastly, Staphylococcus epidermidis has activity on two pathogens and no activity on Pseudomonas aeruginosa, Klebsiella pneumoniae and Escherichia coli. This study showed that some soil microorganisms could be an interesting source of antimicrobial substances against some human pathogens. Pharmaceutical industries can explore this ability during antimicrobial production and synthesis.