Basic Concepts Research Articles

Research on Quantitative Investment Strategies of Securities Investment Funds

This paper investigates the quantitative investment strategies of securities investment funds, aiming to explore their applications in financial markets and their impact on investment decision-making. Through a review of relevant literature and empirical data, the paper first outlines the basic concepts of quantitative investing and its importance in securities investment funds. Then, it discusses various quantitative strategies, including multi-factor models and machine learning algorithms, and validates their effectiveness through case studies. The research finds that quantitative investing can enhance the scientific and accurate nature of investment decisions while effectively reducing investment risks. Finally, the paper provides suggestions for optimizing quantitative strategies and discusses future trends, offering practical references for the investment industry.

Сили движение и равновесие биомеханика на човешкото тяло интердисциплинарна stem практика

We came up with the learning practice we hereby share spontaneously – it is based on the interaction of biology, physics, technology and art, sports and mathematics. It can be organized in 2, 3 or more classes, depending on the subjects you wish to include and depending on when you decide to make it happen. The lesson we present here was created at a time when students have already studied the human musculoskeletal system, which is tied to basic concepts and fundamental interactions from mechanics in physics.

The value of statistical life in air and road transport

Purpose Accidents occur in all transport modes and can cause significant material damage and loss of life. To efficiently allocate resources that enable the reduction of accidents, it is necessary to estimate the value of a statistical life (VSL). This study aims to show how the statistical value of human life in air and road traffic is determined. Design/methodology/approach This study examines and applies recent empirical evidence aimed at clarifying the basic concept of the VSL and defining the reasons for its importance in evaluating public policies in aviation safety and road traffic safety. The research focuses on the principal equity indicators, both theoretical and empirical, that must be confronted to provide a credible estimate of the VSL. Findings Previous research shows that the VSL could have a considerable range of possible values. This study emphasizes that risk reduction funds need to be distributed in a consistent and equitable manner to achieve the best outcomes for society as a whole. Practical implications This research will guide future research efforts towards understanding the impact of the estimated statistical life value on air and road safety implications. Social implications This study strengthens awareness of the importance of the VSL in evaluating public policies in the field of aviation and road safety. Originality/value To the best of the authors’ knowledge, this study is one of the first to compare air and road traffic from the perspective of the VSL evaluation.

Скачена с x-хромозомата рецесивна наследственост интердисциплинарен урок по биология, история и английски език

The lesson “X-linked recessive inheritance” is interdisciplinary, part of the curriculum of the innovative subject of Science and technology. It is based on Content Language Integrated Learning and not only combines subject content and foreign language skills, but unites more than one scientific field. In our case, we examined a biological process through the lens of the English language and in a historical context. This provided a deeper understanding of the processes in our surroundings, proving that nothing operates in isolation, but in constant and predictable connections with the world around us. The topic deals with basic concepts of genetics in English, tracing the ability of recessive genes on the X-chromosome to be inherited only by the female descendants. We worked with VIII grade students, for whom this lesson was their first encounter with genetics. The content of all lesson material is adapted to the age and grade of the students.

A tutorial on Bayesian structural equation modelling: Principles and applications.

This paper explores the utilisation of Bayesian structural equation modelling (BSEM) in psychology, highlighting its advantages over frequentist methods for handling complex models and small sample sizes. Basic concepts and fundamental issues relevant to BSEM are introduced, such as prior setting, model convergence, and model fit evaluation and so on. The paper also provides illustrative examples of commonly employed BSEMs, including confirmatory factor analysis (CFA) models, mediation models and multigroup CFA models, accompanied by empirical data and computer codes to facilitate implementation. Our goal is to provide researchers with novel ideas for empirical research and equip them to overcome challenges inherent to traditional methods. As BSEM continues to gain traction in various fields, we anticipate its development will feature improved methods, techniques and reporting standards.

Statistical Analysis of Frechet Distribution in Step-Up and Step-Down Testse

This study explores the application of the Frechet distribution in step-up and step-down tests, investigating its effectiveness and applicability in extreme value analysis. Through systematic collection and statistical analysis of experimental data, this paper first clarifies the basic concept of the Frechet distribution and the physical significance of its parameters. It then analyzes the design principles of step-up and step-down tests and their data processing methods, focusing on evaluating the performance of the Frechet distribution in describing maximum and minimum value characteristics. The results show that the Frechet distribution can effectively fit experimental data, providing a significant theoretical basis for the evaluation of material and structural performance in engineering. However, the paper also points out the limitations of applying the Frechet distribution and suggests future research directions.

The Impact of Financial Information Transparency on Corporate Governance Effectiveness

In today’s rapidly changing business environment, financial information transparency has become a key indicator for measuring the quality of corporate governance. This paper introduces the basic concept of financial information transparency, the relationship between financial information transparency and corporate governance, and focuses on the impact of financial information transparency on stakeholders, challenges and strategies to improve financial information transparency, and finally predicts the development trend of financial information transparency. It is hoped that the analysis of these issues will be helpful in improving the transparency of corporate financial information and promoting more effective and transparent corporate governance practices.

Moderation of Life Style on the Influence of Financial Literacy and Self-Control on the Saving Behavior of Millennial Employees in Denpasar City

This study aims to analyze the influence of financial literacy and self-control on the saving behavior of millennial employees, as well as the moderating role of lifestyle in the relationship. Financial literacy, which includes an individual’s understanding of basic financial concepts and money management, is hypothesized to play an important role in increasing saving behavior. Self-control, an individual’s ability to resist consumer impulses and make wise financial decisions, is also considered a key factor influencing the tendency to save. However, excessive consumption behavior as part of the millennial lifestyle can potentially hinder savings efforts even though they have adequate financial literacy and self-control. In this study, lifestyle is modeled as a moderating variable that can weaken or strengthen the influence of financial literacy and self-control on saving behavior. Data collection was conducted through a survey of millennial employees from various job sectors. Data analysis used the moderated regression method to test the interaction between financial literacy, self-control, and lifestyle in influencing saving behavior. The results showed that financial literacy and self-control had a significant positive effect on saving behavior. However, lifestyle acts as a negative moderator, where a consumptive lifestyle weakens the relationship between financial literacy and self-control with saving behavior. This finding provides practical implications for individuals and companies, especially in raising awareness of the importance of lifestyle control and financial literacy to encourage better saving behavior among millennial employees.

Menumbuhkan Kesadaran Gizi Seimbang Melalui Edukasi dan Pengecekan Status Gizi pada Santriwati di Maahad Tahfiz Al-Qur’an Darul Falah, Selangor, Malaysia

Maahad Tahfiz Al-Qur’an Darul Falah, Selangor, Malaysia, is an institution focused on Qur’an memorization for female students. Due to their intense activities, including memorization requiring high concentration, balanced nutrition is essential for supporting their academic performance and health. However, their nutritional intake has not been fully optimized. Initial observations indicated that some students have limited knowledge of balanced nutrition, which may affect their health and nutritional status. This community service program aimed to raise awareness about the importance of balanced nutrition through education, nutritional status checks, and counseling. The program included three main activities: (1) Nutrition education through lectures and interactive sessions, covering basic concepts of balanced nutrition, the food pyramid, and guidelines from the Ministry of Health Malaysia; (2) Nutritional status checks through height and weight measurements to calculate Body Mass Index (BMI), identifying students' nutritional categories and related issues; and (3) Nutritional counseling, conducted after the status checks, teaching students how to achieve or maintain an ideal weight and offering advice on healthy eating and lifestyle habits. The program, which involved 40 students, found that 60% of them had a normal nutritional status, while some were underweight (12.5%), overweight (20%), and obese (7.5%). The education and counseling sessions helped improve the students' understanding of the importance of balanced nutrition and provided guidance on how to maintain or achieve a healthy weight, supporting their overall health and academic.

Ontology-Based Landslide Knowledge Representation and Hazard Assessment Research

The occurrence of landslides is characterized by suddenness and unpredictability, with many complex relationships among various influencing factors. This study, by introducing the ontology of knowledge engineering, summarizes the characteristics of landslide knowledge and constructs a multidisciplinary, multi-level, and multi-perspective ontology of the landslide domain. Through in-depth analysis of existing landslide research systems and methods, the study defines the basic concepts, attributes, and their complex relationships and rules related to landslides. This research expresses landslide knowledge using the Web Ontology Language (OWL), enabling effective storage and retrieval of landslide knowledge, thus promoting the systematization and standardization of knowledge in the landslide domain. Furthermore, leveraging the high knowledge density feature of the constructed landslide domain ontology, this study extends traditional landslide evaluation and prediction methods by introducing more evaluation indicators based on the constructed landslide ontology. The comprehensive evaluation of landslide risk is conducted using the contribution-weighting method, providing new insights and tools for landslide risk management and decision-making.

Research Progress on Electrical Properties of Self-sensing Concrete

In order to effectively avoid the different degrees of impact and damage to the existing buildings and structures, it is particularly important to strengthen the health detection of such structures and facilities, which is also an important research field in the development of green building discipline. Smart concrete is both structural and functional, and has the potential of self-monitoring of concrete structures. This paper reviews the basic concepts of self-sensing concrete, including the research progress of self-sensing concrete materials, and summarizes the classification of different conductive phase materials and their conductive properties. Secondly, the basic mechanical properties and electrical properties of self-sensing concrete are discussed. The factors affecting the perceptual performance of self-sensing concrete considered by different scholars are summarized. It is concluded that few scholars have studied the mechano-electric interaction evaluation mechanism that takes the electrical parameters into account the stress, strain, crack or damage of concrete, and evaluates mechanical properties and crack propagation length through the change of electrical signals. Finally, the importance of self-sensing performance of intelligent concrete is emphasized, and the prospect of future research is put forward.

A unified-description of curvature, torsion, and non-metricity of the metric-affine geometry with the Möbius representation

We establish the mathematical fundamentals for a unified description of curvature, torsion, and non-metricity 2-forms in the way extending the so-called Möbius representation of the affine group, which is the method to convert the semi-direct product into the ordinary matrix product, to revive the fertility of gauge theories of gravity. First of all, we illustrate the basic concepts for constructing the metric-affine geometry. Then the curvature and torsion 2-forms are described in a unified manner by using the Cartan connection of the Möbius representation of the affine group. In this unified-description, the curvature and torsion are derived by Cartan’s structure equation with respect to a common connection 1-form. After that, extending the Möbius representation, the dilation and shear 2-forms, or equivalently, the non-metricity 2-form, are introduced in the same unified manner. Based on the unified-description established in this paper, introducing a new group parametrization and applying the Inönü–Wigner group contraction to the full theory, the relationships among symmetries, geometric quantities, and geometries are investigated with respect to the three gauge groups: the metric-affine group and its extension, and an extension of the (anti)-de Sitter group in which the non-metricity exists. Finally, possible applications to theories of gravity are briefly discussed.

Perspectives of Experts in the Selection of Contents for a Course of Differential Equations in Engineering

This study investigates the teaching of Differential Equations in engineering education, focusing on expert opinions from diverse institutional backgrounds. The primary objectives were to understand expert perspectives on essential course content, justify their content choices, measure institutional gaps, and highlight the range of professional profiles. Through qualitative interviews with nine experts from academia and industry, we explored their views on the integration of Differential Equations in engineering curricula. The findings reveal a consensus on the importance of basic concepts to support physical models. Notably, experts highlighted variational calculus and energy representations as critical yet underrepresented areas in Differential Equations courses, essential for modeling complex, nonlinear problems. The study also states on the growing importance of computational methods and software in engineering education, advocating for an integrated approach aligning theoretical concepts with real-world applications. The expert opinions revealed a significant institutional influence on content perception, demonstrating a gap between traditional theoretical focus and modern, application-oriented approaches. The study suggests a need for curricular innovation in differential equations education, emphasizing practical applications and computational methods to bridge this gap between the two institutions considered in which the experts are adhered to.

Saliva metabolomics: concepts and applications in oral disorders.

The purpose of this review was to present the basic concepts of metabolomics methodology and the use of saliva for diagnostic, prognostic, and predictive strategies. This review followed the focus in: "saliva metabolomics" and "oral diseases". The authors searched studies on PubMed database. The inclusion criteria were original studies and reviews that assessed metabolomics techniques. A descriptive analysis was performed considering the study design, approach system, clinical steps, and tools for the determination of profile or biomarkers metabolites, and the advantages and disadvantages. Metabolomic analyses use a combination of analytical instrumentation and informatic tools to provide information on metabolite characteristics. In this review we described different technologies applied and the advantages and limitations of each technique. Furthermore, in the literature search, we retrieved 25 studies that investigated saliva metabolites in oral diseases: 8 studies used targeted analysis and 17 untargeted metabolomics approaches. Most studies included patients with periodontal diseases, oral squamous cell carcinoma, and Sjögren Syndrome. The most frequently reported metabolites were glycine, leucine, phenylalanine, dipeptides, linoleic acid, arachidonic acid, tyrosine, choline, taurine, lactate, valine, and proline. Metabolomics analysis has emerged as a powerful tool for tumor diagnosis and to enhance tumor classification, including salivary gland tumors (SGTs). It also holds promise for developing personalized treatment plans and defining more precise prognostic categories. Metabolomics is the most functional and comprehensive technique for monitoring and understanding gene functions and identifying the biochemical state of an organism in response to genetic and environmental changes.

Модели цепей поставок и их классификация

The article discusses various models of supply chains of goods. The classification and models of supply chains are considered. The basic concepts and elements of supply chain management are revealed. The theoretical basis of the article is research conducted in such fields of knowledge as logistics and supply chain management. Logistics supply chains are an important element in the activities of any company. They include the planning, production and management of goods, services and information from the point of origin to the point of consumption. Supply chains coordinate complex patterns of movement and transportation, shipment and receipt, import and export operations, warehousing, inventory management, procurement, production planning and customer service.

A Design Review for Biomedical Wireless Power Transfer Systems with a Three-Coil Inductive Link through a Case Study for NICU Applications

This paper outlines a design approach for biomedical wireless power transfer systems with a focus on three-coil inductive links for neonatal intensive care unit applications. The relevant literature has been explored to support the design approach, equations, simulation results, and the process of experimental analysis. The paper begins with a brief overview of various power amplifier classes, followed by an in-depth examination of the most common power amplifiers used in biomedical wireless power transfer systems. Among the traditional linear and switching amplifier classes, class-D and class-E switching amplifiers are highlighted for their enhanced efficiency and straightforward implementation in biomedical contexts. The impact of load variation on these systems is also discussed. This paper then explores the basic concepts and essential equations governing inductive links, comparing two-coil and multi-coil configurations. In the following, the paper discusses foundational coil parameters and provides theoretical and experimental analysis of both two-coil and multi-coil inductive links through step-by-step measurement techniques using lab equipment and addressing the relevant challenges. Finally, a case study for neonatal intensive care unit applications is presented, showcasing a wireless power transfer system operating at 13.56 MHz for powering a wearable device on a patient lying on a mattress. An inductive link with a transmitter coil embedded in a mattress is designed to supply power to a load at distances ranging from 4 cm to 12 cm, simulating the mattress-to-chest distance of an infant. the experimental results of a three-coil inductive link equipped with a Class-E power amplifier are reported, demonstrating power transfer efficiency ranging from 75% to 25% and power delivery to a 500 Ω-load varying from 340 mW to 25 mW over various distances.

The Game of Dominoes as Teaching-learning Method of Basic Concepts of Differential Calculus

This paper will present teaching-learning mathematics strategies, specifically differential calculus in a variable, through a fun and competitive space in which action is manifested by the student and not only the repetition of information by the teacher. This action refers to motivate, problematise, summarise, and coordinate a dominoes game whose thematic cards are designed around the basic and main contents of differential calculus. The strategies for teaching this area are diverse and precisely the game of dominoes is one of the most used strategies in the practice of mathematics because it stimulates logical reasoning and mental skills. The objective is to identify the way in which the game of dominoes affects the learning and understanding of fundamental concepts of differential calculus in a variable by means of experimentation carried out on students of the first semester of the School of Engineering and Sciences of Technological of Monterrey. Finally, the results of this study will be presented and the use of this strategy in other topics around mathematics will be recommended to facilitate logical and meaningful learning in students.

Use of Blockchain Technology for Management of Guest Room Keys

Purpose of the study: The hospitality industry is undergoing a transformation with the advent of blockchain technology, especially in hotel keys management. This chapter explores the use of blockchain to manage hotel guest room keys, focusing on its applications, benefits, and future ramifications. Methodology: The chapter begins by clarifying the basic concepts of blockchain, outlining its functionality as a decentralized distributed ledger system and then explores the challenges of traditional core system design and introduces blockchain-based key management solutions. This solution uses cryptographic encryption and decentralized access control mechanisms, integrating smart contracts to automate processes. Main Findings: Blockchain-based key management systems generate and distribute secure digital keys to guest smartphones, protecting it from unauthorized access and tampering blockchain’s immutable recordkeeping for a tamper-proof audit trail, enhancing security and accountability. Hotel networks allow guests to use digital keys in multiple ways, and connecting IoT devices allows for remote control and personalized experiences. Applications of the study: Blockchain technology provides a robust alternative to traditional hotel key management systems, improving security, transparency, and operational efficiency. Future trends, including artificial intelligence and machine learning, promise new innovations. A strategic and collaborative approach is recommended to maximize the benefits of blockchain in the hospitality industry. Novelty/Originality of the study: This chapter provides valuable insights for practitioners and researchers aiming to harness the transformative power of blockchain.

Similar, not universal: the cognitive dimensions of conceptual prototypes of basic emotions in English and in Polish.

The current study explores the differences in conceptualisation of the prototypical basic emotion lexicalisations (anger, disgust, fear, joy, sadness, surprise) in English and in Polish. Measures of concreteness, imageability and context availability were collected and analysed across the six semantic categories of basic emotions, across different parts of speech and between the self-determined genders of the study participants. The initial results indicate that within these cognitive dimensions the conceptualisations of basic emotions in English and in Polish are only similar on the more general but not the higher levels of conceptualisation. The folk-psychological division between positive and negative emotions and the grammatical parts of speech reveal similar patterns in basic emotion concepts in both Polish and in English. However, on the higher levels of conceptualisations that include specific basic emotion semantic categories and self-identified gender, marked language-specific differences become apparent. Different negative emotions drive the statistical differences in Polish and in English, and the gender effects on the measures of concreteness, imageability and context availability are opposite from one language to the other. In other words, basic emotions may be broadly mutually intelligible, but not exactly the same when communicated across languages and cultures.

THE TRAINING OF TEMPERATURE MONITORING SYSTEM WITH LM35 SENSOR BASED ON RESBEERY PI

Abstract. This community service activity aims to train the community on developing and implementing a temperature monitoring system using the LM35 sensor integrated with Raspberry Pi. This training was carried out to improve people's understanding and skills, especially in utilizing microcontroller-based technology and IoT (Internet of Things) in daily life, especially in the field of room temperature or environmental monitoring. This activity involves targets, for example, teachers, students, and technicians, at SMA AL-IRSYAD TEGAL, with training methods that include basic theories about temperature sensors, introduction to Raspberry Pi, and hands-on practice in assembling and programming temperature monitoring systems. The results of this training showed that participants could understand the basic concepts of temperature monitoring systems and could apply the knowledge gained in making simple devices that can measure and display temperature in real time. The activity evaluation showed that most of the participants felt helped by this training and showed high interest in further developing the system that had been studied. In the future, it is hoped that similar activities can continue to be carried out to empower the community to utilize technology for daily needs. Keywords: Community service, temperature monitoring system, LM35, Raspberry Pi, technology training.