Graphical Representation Of Data Research Articles

Comparison and AI-based prediction of graph comprehension skills based on the visual strategies of first-year physics and medicine students

Graphical representations of data are common in many disciplines. Previous research has found that physics students appear to have better graph comprehension skills than students from social science disciplines, regardless of the task context. However, the graph comprehension skills of physics students have not yet been compared with (veterinary) medicine students, both of which are disciplines that require multiple science, technology, engineering, and mathematics (STEM) courses. This study extends previous research on this subject by exploring whether physics majors possess superior graph comprehension skills due to their study discipline. Here, participants solved 24 graph comprehension tasks across various subjects, including mathematics, physics, and medicine; these tests were conducted at the beginning and end of their first semester. Graph comprehension gain was calculated based on the percentage of correct and incorrect answers in the pretest and the post-test. In addition to these comparisons, we replicated previous research that successfully distinguished correct and incorrect solvers based on their visual behavior by using a novel machine-learning method tailored to small datasets. Through this replication of statistical analyses, we aim to ensure the reliability of adaptive learning systems in the future, regardless of data size, using the same machine-learning method. Physics and medical students were found to exhibit relatively similar graph comprehension gain; this is in contrast to previous research comparing physics and non-STEM students. Our results also revealed that both physics and medical students use similar visual strategies to solve these tasks. However, correct and incorrect solvers could be distinguished via machine-learning methods regardless of their discipline. Our research suggests that visual behavior is a good predictor of graph comprehension skills. Published by the American Physical Society 2024

Демографічні аспекти вимушеної міграції українців до Чеської Республіки після російського повномасштабного вторгнення

The paper examines the scale and dynamics of Ukrainian forced migration to the Czech Republic following the Russian full-scale invasion of Ukraine, the demographic characteristics of Ukrainian war migrants, and the impact of this migration wave on the demographic situation in the Czech Republic. The study aimed to analyze the specific features of migration caused by the full-scale war, its reflection in demographic statistics, and to define the demographic profile of Ukrainian war migration to the Czech Republic. The research utilized statistical data provided by the Czech Statistical Office (Český statistický úřad) and applied methods of systematization and generalization, structural-logical and comparative analysis, statistical methods of structure and dynamics analysis, graphical data representation, and others. This type of study regarding Ukrainian war migrants to the Czech Republic has been conducted for the first time. Among European countries, the Czech Republic ranks third in the number of forced migrants from Ukraine, accumulating 8.4 % of the total number of Ukrainian war migrants in the European Union. It was found that the reflection of this migration wave in demographic statistics is influenced by organizational and accounting circumstances, such as the terms and procedures for extending temporary protection for war migrants, and the lack of specific “markers” in the statistics of demographic events for persons under temporary protection. Ukrainian war migration in the year of the Russian full-scale invasion led to a record increase in positive migration balance in the Czech Republic and increase in the share of individuals with Ukrainian citizenship in this country. The forced war migration wave in 2022 affected the demographic composition of both individuals with Ukrainian citizenship and the entire population of the Czech Republic through an increased share of women, who predominate among war migrants, and a slight slowdown in ageing and an increase in the share of the working-age population for two consecutive years. Among Ukrainians under temporary protection in the Czech Republic, there is a particularly high share of women aged 35 to 45 and boys aged 17—18, and also high proportion of children aged 10 to 14. During the years of the full-scale war, the number of marriages registered between Ukrainians in the Czech Republic has increased. In 2022—2023, due to the wave of war migration, the number of newborns with Ukrainian citizenship in the Czech Republic significantly increased, and their share in the total number of births among foreigners rose (by almost 30 percentage points in two years), although the total fertility rate of Ukrainian women was noticeably lower than the national average. The number of deaths among individuals with Ukrainian citizenship also increased due to the influx of war migrants, but this had a negligible impact on the level of mortality.

Thermo-diffusion of excited photothermal semiconductor under laser pulse and ramp heating with acoustic pressure

The goal of this work is to provide a novel mathematical model that explains how certain physical variables propagate (acoustic-thermal-mechanical diffusive) as waves in a photoexcited non-Gaussian laser pulse semiconductor medium. Under the impact of acoustic pressure, the isotropic and homogeneous semiconductor medium is discussed concerning the fundamental equations according to charge carrier recombination processes with optoelectronic properties. Given the impact that relaxation times have on the governing equations. Laplace transforms were utilized in a one-dimensional (1D) context to examine essential non-dimensional properties such as displacement, stress components, carrier density, temperature, and acoustic pressure in order to mathematically answer the required problem. By imposing specific initial and boundary conditions, inverse Laplace transformations were employed to generate precise solutions for the numerical modeling of different physical quantities depicted graphically. The graphical representation of wave propagation data was followed by a theoretical analysis and interpretation, emphasizing the influence of other factors (such as heat rise time, relaxation times, and laser pulse effects) on the observed occurrences.

Analysis of very small-small theropod footprints data from Imilchil tracksite (Hig Central Atlas. Morocco). A concordance model for a global scale

In the ensemble of theropod footprints from the Imilchil macrosite, a group of small size separated from the rest is distinguished. We had detected this grouping in other sites studied by our team in La Rioja and in the work of drawing up scatter plots and frequency histograms of the measurements, on a global scale, of the length and width of the theropod footprints (these data are available on request from Farlow [farlow@pfw.edu]). We analyze the particular grouping of small footprints, providing the study of the theropod footprint measurements of 14 new sites with dinosaur footprints in Imilchil and the graphical representation (frequency histograms and scatter plots) of the global data. The work has been done by projecting and comparing the length and width measurements of the Imilchil footprints and the global ones of what we call circumscribed geographical environments (TGC or Temporal Geographical Circumscriptions [cf. Mínguez Ceniceros et al., 2022]). The ichnotaxonomic study of the footprints referred to in this work can be found in Masrour et al., (2023). Finally we interpret the position of maxima and minima in the frequency diagrams, both of Imilchil, and of the other areas in which Farlow has found records (up to the year 2022).

Empowering the rapid authentication of the botanical origin of monofloral honey by coated blade spray mass spectrometry (CBS-MS)

In the quest for a rapid and cost-effective tool for determining the botanical origin of monofloral honey, the analytical capabilities of coated blade spray mass spectrometry (CBS-MS) were investigated. To this aim, the chemical profiles of 64 honey samples from seven different botanical origins (acacia, dandelion, chestnut, rhododendron, citrus, sunflower, and linden) were captured by the absorbent of the coated blades and then analyzed by mass spectrometry. An exploratory analysis was performed by principal component analysis (PCA) to generate a graphical representation of the CBS-MS data that allows the discovery of patterns, outliers, or relations between types of honey in an unsupervised manner. Additionally, the performances of four different classification algorithms (least absolute shrinkage and selection operator (LASSO), random forest (RF), and neural network (NNET) partial least squares discriminant analysis (PLS-DA)) were built up and compared. The performances of the four classifiers were verified by a 50 times-repeated, 5-fold-cross-validation and permutation test. Although all classifiers performed well, the RF showed significantly higher performances in cross-validation (with area under the curve (AUC) of 0.99, overall accuracy 0.94, Kappa 0.93, sensitivity 0.94, and specificity 0.99). Moreover, the permutation tests showed the models were not overfitted. Finally, to determine the molecular identities of the ions that most contribute to the classification, extracts from the same honey samples were prepared, analyzed by liquid chromatography coupled to high resolution tandem mass spectrometry (LC-HRMS/MS), and the most significant features were annotated. This proof-of-principle work warrants a future large-scale study to validate and challenge this CBS-MS-based method with a greater number of honeys from different years and geographical origins.

PRO-INFLATIONARY SIGNIFICANCE OF ENERGY COMMODITY AND ELECTRICITY PRICES

Aim: The main aim of this article is to evaluate the influence of electricity prices on the overall economic price level. Methods: The research methodology was carefully designed to encompass various analytical tools, including the graphical representation of data, basic statistical analyses, the computation of the Pearson correlation coefficient with consideration of time lags, and the application of the Granger causality test. Re­sults: The outcomes of the study revealed a significant inefficiency within the market mechanism. Contrary to expectations, the anticipated correlation between electricity prices and inflation (PPI and CPI) indices was found to be statistically insignificant. However, among the examined relationships, a strong and noteworthy connection emerged between coal prices and the PPI inflation index, particularly with a distinct two-month lag in this correlation. Conclusions: Drawing conclusions from the analysis, it became evident that while energy commodity prices, such as coal, do not directly translate into electricity prices and subsequently influ­ence inflation, coal prices do emerge as a significant predictor of inflation. This observation suggests a gap in the intermediate stage of the production cycle, shedding light on a pronounced market inefficiency. The significance of these findings extends beyond the narrow scope of the energy sector. They provide a broader perspective on pricing relationships in the economy, highlighting the limited impact of the market price of electricity on shaping the overall price level. This nuanced understanding constitutes a noteworthy and valuable contribution to the field of economic research, emphasizing the multifaceted dynamics that underlie pricing mechanisms in a complex economic system.

Data Evaluation Framework for Refining PFAS Conceptual Site Models

AbstractContaminated sites with per‐ and polyfluoroalkyl substances (PFASs) are the cause of environmental, health, and financial concerns. Understanding and addressing PFASs at their source areas is important for effective characterization, risk assessment, and remediation. This paper introduces a framework that relies on commonly available PFAS data to assist in identifying PFAS source areas and assess PFAS fate and transport considerations along flowpaths. Currently accepted PFAS physical and chemical behaviors have been incorporated into metrics that can be evaluated geospatially, and/or over time, to build a weight‐of‐evidence approach to refine conceptual site models (CSMs). Graphical representation of data according to a PFAS “family tree” is also proposed for more consistent interpretation and pattern recognition. Combined, these tools create a PFAS data evaluation framework (PFAS Framework) that consists of a tiered analysis approach based on data availability and site complexity. Case studies from real sites are presented to demonstrate the capabilities of the PFAS Framework in identifying source areas.

Understanding Sexual Dysfunctions in Individuals with Intellectual Disabilities from A Psychological Perspective

Background: This article delves into the complex world of sexual dysfunctions in individuals with intellectual disabilities (ID), a topic that has been relatively underexplored in the realm of psychological research. Intending to shed light on the unique challenges faced by this population, the article meticulously examines the barriers to effective communication, cognitive differences, and the social dynamics that impact both the experiences and treatment outcomes for individuals with ID. Methods: The study utilized a blend of empirical methods, including questionnaires, psychodiagnostic tests, and graphical representations of data, and was conducted among a substantial sample of 1450 individuals with ID in Kyiv, Ukraine. It offers a comprehensive overview of the sexual health landscape within this community. Results: The research findings highlight a notable prevalence of sexual dysfunctions among the ID population, exacerbated by a lack of accessible sexual education, the prevalence of unsafe sexual practices, and a high rate of self-reported sexual abuse. Conclusions: The article emphasizes the importance of a nuanced understanding and approach to sexual health care and education for individuals with ID. It calls for policies, practices, and further research that honor the dignity, autonomy, and sexual rights of individuals with ID, aiming to bridge the current gaps in care and understanding. By doing so, it contributes significantly to the discourse on sexual health in the ID population, offering valuable insights and directions for future work in this vital area of study.

Physio-Anatomical complications in short and long surgical procedures with General Anesthesia. A comparative cross-sectional study

Background: The complication intensity of short- and long-term anesthesia during different surgeries depends upon the age, medical history and general lifestyle of a patient. Aims and objectives: The aims and objectives of present study were to evaluate the risks associated with general anesthesia during various surgical procedures. Methodology: Current comparative cross-sectional study was conducted in ICU, general surgery and gynecology units of Ghurki Trust and Teaching Hospital from July 2023 to February 2024. Total 100 patients of appendectomy and hysterectomy were selected as study subjects and divided into two groups. In Group-A (short surgery group) 65patients with appendectomy and in Group-B (Long surgery group) 35 women patients with hysterectomy were included. All of the clinical and demographic data were recorded on MS Excel and SPSS version 2024 were used to process, analyze, and distribute the data as needed and graph pad prism was used to plot graphical data representation. Results: The study identified a significant association between anesthesia duration and increased postoperative complications, notably in patients aged 51-55 years. Enhanced risks included postoperative pain, nausea, and respiratory distress, emphasizing the need for tailored anesthesia strategies based on surgical length and patient demographics. Conclusion: General anesthesia is largely safe but linked to some complications, necessitating innovative improvements and further research with larger sample sizes for enhanced safety.

BSXplorer: analytical framework for exploratory analysis of BS-seq data

BackgroundBisulfite sequencing detects and quantifies DNA methylation patterns, contributing to our understanding of gene expression regulation, genome stability maintenance, conservation of epigenetic mechanisms across divergent taxa, epigenetic inheritance and, eventually, phenotypic variation. Graphical representation of methylation data is crucial in exploring epigenetic regulation on a genome-wide scale in both plants and animals. This is especially relevant for non-model organisms with poorly annotated genomes and/or organisms where genome sequences are not yet assembled on chromosome level. Despite being a technology of choice to profile DNA methylation for many years now there are surprisingly few lightweight and robust standalone tools available for efficient graphical analysis of data in non-model systems. This significantly limits evolutionary studies and agrigenomics research. BSXplorer is a tool specifically developed to fill this gap and assist researchers in explorative data analysis and in visualising and interpreting bisulfite sequencing data more easily.ResultsBSXplorer provides in-depth graphical analysis of sequencing data encompassing (a) profiling of methylation levels in metagenes or in user-defined regions using line plots and heatmaps, generation of summary statistics charts, (b) enabling comparative analyses of methylation patterns across experimental samples, methylation contexts and species, and (c) identification of modules sharing similar methylation signatures at functional genomic elements. The tool processes methylation data quickly and offers API and CLI capabilities, along with the ability to create high-quality figures suitable for publication.ConclusionsBSXplorer facilitates efficient methylation data mining, contrasting and visualization, making it an easy-to-use package that is highly useful for epigenetic research.

Practice-Based Learning in Aesthetic Medicine: Assessing Scientific Literacy Among Cosmetic Practitioners.

The field of aesthetic medicine has expanded substantially in the past decade, with significant practitioner diversification and departure from core-specialty supervision. The increased autonomy of nonphysician practitioners in a rapidly evolving field has raised accentuated the importance of scientific literacy and practice-based learning standards in the delivery of aesthetic medical care. To assess the degree of scientific literacy among aesthetic medicine practitioners of different educational and training backgrounds in the United States and abroad. A cross-sectional survey of 52 national and international aesthetic medicine practitioners employing a validated, 28-item, scientific literacy tool. The average score for all participants was 76% (SD = 18%, range = 43%-100%). Physician practitioners scored higher in all competencies compared non-physicians (86% vs 68%, p < 0.001), with a greater discrepancy among US practitioners (95% vs 71%, p < 0.001). Competencies relating to identification of bias/confounding variables, graphical data representation, and statistical inference/correlation showed the lowest proficiency. Practitioners with a doctorate or equivalent degree were significantly more likely to report frequent engagement with medical literature than non-physicians ( p = 0.02). There exists a significant disparity in scientific literacy between physician and nonphysician aesthetic medicine practitioners. This gap underscores the need for enhanced educational programs and continuous professional development to ensure safe and effective patient care in the evolving field of aesthetic medicine.

Development of small and medium-sized enterprises in Kazakhstan: structural analysis

Relevance. The relevance of the subject under consideration is aimed at investigating the development of small and medium-sized enterprises, which is one of the key priorities in the Republic of Kazakhstan since the development of small and medium-sized enterprises allows solving the issue related to the reduction of unemployment in the country and the outflow of youth. One of the characteristic features of recent years in the development of small and medium-sized enterprises in Kazakhstan is its pronounced quantitative growth without corresponding changes in the results of activities. One of the underlying reasons for this is seen in the nonoptimality of the existing structure of the sector of small and medium-sized enterprises. To support and develop entrepreneurship on an ongoing basis, the authorities of each country are taking measures to improve the business climate. Since January 1, 2020, a moratorium on inspections, preventive control and supervision with visits to small enterprises, including microenterprises, has been introduced in Kazakhstan for three years. In the medium term, a Strategic Plan for the development of Kazakhstan until 2025 has been developed. Purpose. The purpose of the study is to identify reasons for the low contribution of SMEs to the economy of the Republic of Kazakhstan that has developed in recent years based on the results obtained during the structural analysis. Methodology. The following methods were used in the study: analysis, synthesis, comparison, economic and statistical analysis, and graphical representation of data. Results. The results of study allowed forming a number of recommendations aimed at the development of small and medium-sized enterprises and increasing the level of employment among the population of the Republic of Kazakhstan. Conclusions. This study is of practical importance since the proposed recommendations can be taken as a basis for the development of a Target Programme for the Development of small and medium-sized enterprises in the Republic of Kazakhstan, as well as a Programme for the Employment in small and medium-sized enterprises.

Evaluating secondary school students’ science literacy with the Test of Scientific Literacy Skills (TOSLS)

As solutions to today’s global challenges, such as climate change and environmental protection, will increasingly depend on technological and scientific innovation, it is essential for Generation Z to gain a solid foundation in science. The Test of Scientific Literacy Skills (TOSLS) was used to assess the level of science literacy of students. This paper presents the results of the TOSLS testing of students aged 16-19 in several grammar schools in the Czech Republic in 2023 and compares them with the results of the TOSLS testing of students in the Slovak Republic in 2015. We found that Czech students in their final year of high school performed statistically significantly better on the TOSLS test in approximately two thirds of the items than Slovak students. For both groups of students, we observed good results in skills focused on evaluating scientific information, reading and interpreting graphical representations of data, and solving problems using quantitative skills, including basic statistical skills. On the contrary, the students had difficulty with skills related to understanding the elements of research design and their impact on scientific findings and understanding and interpreting basic statistical data.

THE IMPACT OF RECESS BREAKS IN THE LEARNING PROCESS ON PRIMARY SCHOOL STUDENTS’ CONCENTRATION SKILLS

Nowadays one of the major problems in education is the lack of a specific strategy for the implementation of breaks (recess policy) in an educational institution. The development of such a strategy in the majority of cases is different for every school, as evaluating several factors is required, e.g., the age of students, interests, learning needs and progress, the location and specialization of the school, etc. However, students` awareness of the necessity for individual recess strategy gains importance as well. The research aim is to investigate and clarify the possibilities and necessity of recess breaks in primary school. There are theoretical research methods and empirical research methods (students’, teachers’ and parents’ surveys), data processing and analysis methods (quantitative, graphical representation of data, data analysis using IBM SPSS v.22 predictive analytics and statistical analysis software package) used in the research. The analysis of students’ survey emphasized that students more often prefer listening to music or socializing during breaks. While parents’ questionnaire highlighted the necessity for their offsprings to spend more time outside in fresh air. They mean it would help their children to better concentrate in lessons. While teachers` survey analysis revealed that students concentration is better if students are more interested in a particular subject.

Latrobe’s Site Plan for Capitol Hill (1803): Discovering Graphic Complexity in Landscape Design and its Representation

ABSTRACT: The Library of Congress’s collection of Benjamin Henry Latrobe’s drawings contains a graphically complex topographical site plan for the US Capitol. This watercolor sheet from 1803 depicts a completed Capitol positioned on the crest of Jenkins Hill (now Capitol Hill) with its principal façades oriented towards east and west. Upon close inspection, Latrobe’s site plan communicates two systems: the hill’s existing topography and Latrobe’s design to reshape it. As a palimpsest of faintly visible layers of information, the plan reveals the city’s major avenues converging at the Capitol, illuminating how Latrobe’s design is spatially continuous with L’Enfant’s 1791 Plan of the city of Washington. Latrobe’s drawing represents a formal arrangement and design for the reshaping of Capitol Hill relative to the Capitol building itself, which was in progress, and the visionary city yet to be built. This paper will explore the systems of landscape representation that ultimately led to Latrobe’s unique way of quantifying and compiling landscape information. In the decades immediately prior to the creation of the Capitol site plan, rapid advancements in the graphic representation of scientific data included the discovery and use of contour line topography and the emergence of data visualization, also known as information graphics. As industrial, scientific, economic, and architectural advancements occurred during the eighteenth century, new ways of visualizing and communicating data, specifications, and results quickly followed. Essentially, architectural drawings themselves, including site plans, are systems of data visualization. The field note will deconstruct Latrobe’s site plan drawing using analog and digital methods and develop new drawings based on computer landform models that reveal the two systems of representation concealed in the graphically complex original. In 1959, the Capitol extension project necessitated the use of ground-penetrating radar to discover the Capitol’s topography from 1810 based on undisturbed soils. The paper will compare the accuracy of Latrobe’s original survey and drawing with the scientific results achieved in 1959.

Validity, reliability, and item characteristics of cell material science literacy assessment instruments

This study aims to examine the validity, reliability, and item characteristics of scientific literacy assessment instruments on cell material. The scientific literacy ability category includes identifying valid scientific arguments, evaluating the validity of a source, evaluating the use and misuse of scientific information, understanding research design elements and how they impact scientific findings, and reading and interpreting graphical representations of data. The research subjects were students of the 5th semester elementary school teacher education study program. The validity test included content validity using Aiken V validity index and construct validity using Exploratory Factor Analysis (EFA). Reliability test is carried out by looking for the price of the reliability coefficient r with correlation product moment test. The characteristic test is carried out by determining the level of difficulty and discriminating power. The results show that the scientific literacy assessment instrument on cell material is a valid instrument based on the analysis of content validity, construct validity, and item characteristics. Thus, the assessment instrument is suitable for use as an assessment instrument in research to measure students' scientific literacy in cell material.

Digitalization Strategies for Marketing Communications to Build Relationship Marketing: Modern Solutions in Brand Management

The content presented in this article explores the emergence and progression of digital marketing on a global scale. This article aims to elucidate the primary drivers behind the evolution of digital marketing, tracing its origins from the inception of early information transmission technologies to the establishment of high-speed Internet platforms operated by prominent companies and the proliferation of online resources offering diverse products and services. Furthermore, this work encompasses a comprehensive chronicle of the evolutionary trajectory of marketing strategies employed by enterprises for engaging with their consumers and prospective buyers. Within the scope of this article, an overview is provided on the contemporary landscape of digital marketing, highlighting its various forms and their utilization within the scientific and theoretical domain as well as practical applications within a diverse spectrum of companies. Additionally, the article presents empirical research findings on the multifaceted interactions between marketing initiatives and their target audience, employing diverse communication channels and methodologies. Statistical metrics and graphical representations are employed to elucidate the growth and maturation of the digital marketing field, offering insights into industry-specific trends, geographical variations, and the financial investments committed to this evolving domain. This article also delves into various Internet platforms that have significantly influenced the evolution of digital communications within the realm of commerce. The author systematically elucidates the distinctive approaches adopted by these platforms in advancing digital marketing strategies. Moreover, the article underscores the manifold advantages of digital marketing, with particular emphasis on the substantial reduction in transaction costs and the mitigation of governmental regulatory interference in economic activities. This reduction in regulatory influence is attributed to the emergence and consolidation of novel formal and informal protocols governing both domestic and international online transactions. Furthermore, it is observed that the digitalization of trade has hastened the globalization of economic relations, simplifying trade interactions and eradicating geographical boundaries between nations, particularly in the context of promoting branded products. In addition, the author underscores the critical importance of adhering to specific guidelines to gain a competitive edge through the utilization of digital communication technologies and tools. These guidelines encompass comprehensive knowledge about consumer and buyer behavior, analytical processing of sales data, rigorous assessment of key performance indicators against financial expenditures, optimization of return on invested capital and intellectual resources, and the development of a crisis model that encompasses challenges related to the synergy between financial operations, resource allocation, and marketing activities. Methodologically, this study employs a range of research methodologies including historiographic description, comparative analysis, synthesis of information and opinions, forecasting, tabular and graphical data representation, as well as modeling to elucidate strategic objectives and development trajectories.

Determination of the Chemical Properties of Honey from Suba Region, Homa Bay County-Kenya

Purpose: The purpose of this study was to determine the chemical properties of honey produced in the Suba region, specifically in the Suba South Sub-County, Gwassi North and South divisions' four regions, Nyandiwa (Western), Tonga (Northern), Magunga (Eastern), and Nyancha (Central) of Homa Bay County, Kenya. The study focuses on assessing the chemical properties of honey such as pH, free acidity, HMF content, proline content, glucose content, fructose content, sucrose content and mineral concentrations (K,Na,Ca,Mg,Fe,Zn,and Mn) to ascertain whether they are within the acceptable limits as set by the Codex Alimentarius Commissions.&#x0D; Methodology: An experimental approach was used to investigate the various chemical properties of honey sourced from the four regions of the Suba region in Homa Bay County. Codex Alimentarius Commission's defined methods were used to analyze each property. Both primary and secondary data were collected using interviews and purposive sampling techniques to collect a total of 40 honey samples. A pH meter, UV-visible spectrophotometer, and HPLC instruments were used to measure the pH, free acidity, HMF content, proline content, fructose content, glucose content, and sucrose content of the honey, respectively. The levels of minerals were measured using AAS for Na and K, while Ca, Zn, Mg, Mn, and Fe using a flame photometer. Statistical Package for Social Sciences version 21 was used to perform various statistical tests and generate graphical representations of data. The collected samples were analysed at the Kenyatta University Research Laboratory.&#x0D; Findings: The findings showed that the chemical properties had the following mean values for the honey sample: pH = 4.01± 0.03, free acidity = 35.83±0.45 mEq/kg, HMF = 19.95±1.76 mg/kg, proline = 629.77±9.80 mg/kg, sum of glucose and fructose = 68.37±0.51%. While for the minerals, manganese was the least common and potassium the most common. The mean values result of this study show that honey from the Suba region satisfies the set standards by Codex Alimentarius Commission.&#x0D; Unique Contribution to Theory, Practice and Policy: The study validates the theory of international standards in honey production, emphasizing the positive impact of aligning with global benchmarks on honey quality and market acceptance in the Suba region. It emphasizes the importance of quality certification, which contributes to consumer trust and economic growth. The research also supports the theory through sensitization and education, which increase awareness about honey quality and educate beekeepers on proper production techniques. The study advocates for economic diversification through sustainable apiculture, resulting in improvements in economic stability and financial well-being in the Suba region.

Analysis of Water Consumption during Fire Extinguishing at Objects of Different Functional Fire Hazard Classes

Introduction. Fire-fighting water supply systems play a primary role in ensuring effective fire extinguishing. Many researchers both in our country and abroad have considered the requirements for fire-fighting water supply and problematic issues in this area. At the same time, in order to update the requirements for fire-fighting water supply, it is necessary to study the actual water consumption on fires, taking into account the characteristics of fire objects. The aim of this research was to analyze the water consumption for outdoor firefighting depending on the characteristics of the fire object and compare the actual water consumption with the requirements of regulatory documents on fire safety. Methods and Materials. The authors used statistical data on fires in the Russian Federation for 2019–2021 from the federal state information system "Federal Database "Fires". Methods of statistical data analysis and classification of statistical data were used to determine the actual water consumption for outdoor firefighting, depending on the class of functional fire hazard of the fire object. Visualization of the obtained results was performed by the method of graphical representation of data in the form of histograms and pie charts. Results. The analysis showed that the highest average water consumption was required for objects of the functional fire hazard class F1.2 "hotels, dormitories (with the exception of apartment-type dormitories), dormitory buildings of sanatoriums and rest homes of general type, campsites" — 10.7 l/s. For apartment buildings, the highest average water consumption was required to extinguish fires that had arisen in the attic — 10 l/s and in the garret — 9.2 l/s. Discussion and Conclusion. The results of the analysis can be used to clarify the requirements for water consumption for outdoor firefighting, depending on the functional fire hazard class of the object and the number of floors of buildings. In order to meet these requirements, regular monitoring of fire-fighting water supply systems is required, as well as timely maintenance and repair of external and internal fire-fighting water supply systems.

RWD7 Graphical Representation of Real-World Data for Analysing Infection Outbreaks Within a Tertiary Hospital Setting: A Data-Driven Approach

RWD7 Graphical Representation of Real-World Data for Analysing Infection Outbreaks Within a Tertiary Hospital Setting: A Data-Driven Approach