Graphical Display Research Articles

Hybrid nanofluid flow in chamber containing heated and concentrated internal source under the effectiveness of applied magnetic field

Extensive applications of buoyancy-induced flow owing to temperature and concentration gradients have been found exclusively in diversified industrial and technological processes, such as heat exchange systems, solar collectors, heat sinks, and power plants. Additionally, installation of internal sources in confined configurations is essential in operation performance of many devices relevant to transformers, radiators, air cooling engines, fuel cells, semiconductor instruments and so forth. Furthermore, in recent decades, hybridized nanoparticles have been added to different setups to increase their efficiency. Therefore, the premier motive of current work is to examine mass and heat transport mechanisms in water-based fluids encompassed in a corrugated rectangular chamber with the induction of copper (Cu) and alumina (Al2O3) in a hybrid manner. A horizontally oriented magnetic field is assumed, along with the adjustment of a uniformly heated and concentrated source. The thermal conductivity relation proposed by Maxwell is obliged to scrutinize the performance of hybridized nanoparticles in controlling heat exchange in the domain. In this study, a power-law viscosity model is manifested along with utilization of other conservation laws and model structuring in the form of dimensionless expressions is performed by accomplishsing variables. Finite element simulations are executed by utilizing COMSOL Multiphysics 6.0 to solve developed governing equations system. The quantities of interest, such as average heat and mass fluxex, along with presentation of percentage change versus sundry factors, through graphical and tabular display. From a thorough examination, it is inferred that magnetic field plays an effective significance in controlling the excessive thermosolutal gradients. In addition, inudction of hybridized nanoparticles will positively affect thermal exchange in the base liquid compared to the situation when nanoparticles are not added. It is also deduced that average Nusselt and Sherwood numbers decreased up to 3 % and 2.4 % respectively for hydromagnetic situation (Ha = 0) in comparison to hydrodynamic case (Ha ≠ 0). Decrement in coefficients representing thermosolutal exchange reach up to 55 % and 66 % approximately against increment in number of corrugations. Induction of hybrid nanoparticles resulted in an increase in the coefficients of thermal and solutal transfer up to 14 % and 22 %, respectively, compared to the scenario where the base fluid contained no particles. For shear thinning aspects of non-Newtonain liquid, Nusselt and Sherwood numbers exceeds in comparison to Newtonian case and contrary aspects are observed for shear thickening materials.

Updated CP*Trends: An Online Tool to Compare Cohort and Period Trends across Cancer Sites.

CP*Trends is a widely used SEER website used to explore temporal effects of period and cohort on cancer incidence and mortality. It provides a graphical display of smoothed rates, and a C-P Score that helps to assess the magnitude of the effect of cohort and period. This update provides results for African Americans and Whites. The C-P Score has an intrinsic bias favoring cohort because there are many more cohorts than periods. An adjusted C-P Score removes some of this advantage. Bootstrap confidence intervals are given, which allow one to see the effects of different sample sizes on the model results. Finally, users may control window size used in the smoothing algorithm, which helps to avoid over smoothing or masking of trends. The method is illustrated using data on cervical cancer incidence trends for African Americans and Whites, 1975-2018. Rates are higher for African Americans, and both races have contributions for cohort. However, the period effect is only strongly evident in Whites. Visual inspection of White trends suggests possible differences for those older and younger than age 50. These methods are applied in an interactive website displaying incidence and mortality trends for over 20 cancer sites in the US.

Impact of graphical display on the intention to undergo risk-reducing salpingo-oophorectomy and mastectomy in individuals positive for BRCA pathogenic variant

The BRCA1/2 pathogenic variant (PV) increases the risk of breast and ovarian cancer; thus, risk-reducing salpingo-oophorectomy (RRSO) and mastectomy (RRM) are recommended. We evaluated the effects of the graphical display of cancer risk compared with those of numerical presentation on the decision-making for risk-reducing (RR) surgery. A total of 471 women representing the Korean population were recruited. The lifetime risk of breast/ovarian cancer were given numerically followed by graphically in hypothetical BRCA1/2 PV-positive cases. Subsequently, the study participants were asked for their willingness to undergo RRSO/RRM. When the ovarian cancer risk was shown as 44.0%, the percentage of study participants who chose RRSO was 41.0% after numerical presentation versus 39.9% after graphical display, of which the difference was not significant. When the breast cancer risk was presented as 72.0%, 30.4% of the participants opted for RRM under numerical presentation, whereas this increased to 38.6% under graphical display, of which the difference was significant (p < 0.0075). The average levels of the cancer risk which study participants consider RR surgery were 57.1% for ovarian cancer and 60.6% for breast cancer. This suggests that the impacts of different formats of risk communication on decision about RRSO or RRM may be different by the absolute levels of ovarian or breast cancer.

Architectural Proposal for Low-Cost Portable Digital Oscilloscopes Based on Microcontrollers and Operational Amplifiers

Recently, an increasing number of people have employed do-it-yourself (DIY) and do-it-with-others (DIWO) techniques and processes to develop unique technology products. This trend is commonly called the maker movement and fosters the creation of own electronic and mechanical devices and tools. Oscilloscopes are really useful tools to diagnose problems and analyze electronic devices and electrical circuits, and thus they should not stay outside this trend. To contribute to this field, an architecture to make low-cost portable digital oscilloscopes is proposed. The proposal is mainly based on general-purpose microcontrollers and operational amplifiers. Following this approach, a portable oscilloscope with two input channels, a graphic display, a synchronism detector, internal and external triggers, and a digital signal analyzer function is designed. Furthermore, different options for the implementation are proposed and discussed.

A review of the application of continuous real-time monitoring in noise risk management

Background: In the year 2020, the Mineral's Council Chief Executive Officer (CEO) Zero Harm Forum (CEOZHF) reviewed the slow progress towards achieving the 2024 Occupational Health Milestones and agreed that there was a need to improve the current measures in place to reduce occupational diseases. Following discussions with Group Environmental Engineers, it was proposed to adopt key occupational health indicators for tracking progress through Continuous Real-Time Monitoring (CRTM) to reduce workplace exposures. Methods: A systematic review methodology was employed to gather data from reputable academic databases. Results: CRTM in Noise Risk Management enables an encompassing practical and intuitive analysis of building noise pollution with prompt alerts for poor acoustic comfort. Real-time graphical display of noise measurements, utilizing a warning signal framework, facilitated area-specific alerts and responses. Additionally, CRTM enabled the visualization of noise levels and sources through frequency analysis, contributing to noise pollution analysis for zoning and strategic planning in smart cities. Conclusions: While CRTM has been extensively applied in noise monitoring globally, its utilization in the mining industry, especially in South Africa, remains limited. This study underscores the feasibility of implementing CRTM in Noise Risk Management, emphasizing the need for further research within the mining industry.

Genotoxicity of radiofrequency electromagnetic fields on mammalian cells in vitro: A systematic review with narrative synthesis

BackgroundOver the last decades, great concern has been raised about possible adverse effects to human health due to exposures to radiofrequency electromagnetic fields (RF-EMF, 100 kHz – 300 GHz) emitted by wireless communication technologies. In 2011 the International Agency for Research on Cancer classified RF-EMF as possibly carcinogenic to humans, highlighting that the evidence was weak and far from conclusive. Updated systematic reviews of the scientific literature on this topic are lacking, especially for mechanistic studies. ObjectivesTo perform a systematic review of the scientific literature on genotoxic effects induced by RF-EMF in in vitro experimental models. The overall aim is to assess the confidence and level of evidence of the induced effects in mammalian cell cultures. MethodsFull details regarding the eligibility criteria, information sources, and methods developed to assess risk of bias in the included study, are reported in our published protocol (Romeo et al. 2021). The databases NCBI PubMed, Web of Science, and EMF-Portal were used as information sources (last searched on 31st December 2022). In developing the systematic review, we followed the guidelines provided by the National Toxicology Program-Office of Health Assessment and Translation (NTP-OHAT), adapted to the evaluation of in vitro studies. A narrative synthesis of the body of evidence was performed by tabulating data classified according to meaningful groups (endpoints) and sub-groups (exposure parameters). This report, abstract included, conforms to the PRISMA 2020 (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. ResultsOut of 7750 unique records identified, 159 articles were eligible for inclusion. From the extracted data, we identified 1111 experiments (defined as independent specific combinations of diverse biological and electromagnetic parameters). The large majority (80%) of experiments reviewed did not show statistically significant genotoxic effects of RF-EMF exposures, and most “positive” studies were rated as of moderate to low quality, with negative ratings in the key bias domains. A qualitative evidence appraisal was conducted at the endpoint level, and then integrated across endpoints. DiscussionTo the best of our knowledge, this is the first systematic review of the scientific literature on genotoxic effects in mammalian cell cultures in relation to RF-EMF exposure, which confirms and strengthens conclusions from previous syntheses of this specific topic thanks to the use of transparently reported methods, pre-defined inclusion criteria, and formal assessment of susceptibility to bias. Limitations of the evidence included were the frequent reporting of findings in graphical display only, and the large heterogeneity of experimental data, which precluded a meta-analysis. ConclusionsIn the assessment restricted to studies reporting a significant effect of the exposure on the outcome, we reached an overall assessment of “low” confidence in the level of evidence that RF-EMF induce genotoxic effects in mammalian cells However, 80% of experiments reviewed showed no effect of RF exposure on the large majority of endpoints, especially the irreversible ones, independently of the exposure features, level, and duration (moderate evidence of no effect). Therefore, we conclude that the analysis of the papers included in this review, although only qualitative, suggests that RF exposure does not increase the occurrence of genotoxic effects in vitro. Framework and fundingThis systematic review addresses one of the evidence streams considered in a larger systematic review of the scientific literature on the potential carcinogenicity of RF-EMF, performed by scientists from several Italian public research agencies. The project is supported by the Italian Workers’ Compensation Authority (INAIL) in the framework of the CRA with the Istituto Superiore di Sanità “BRiC 2018/06 – Scientific evidence on the carcinogenicity of electromagnetic fields”.

The Effectiveness of Graphic Organizers in Fostering the Learning of Chemical Bonding in Chemistry

Graphic Organizers are visual and graphic display that illustrates the correlations between facts, terms, and ideas with a learning task. Integrating Graphic Organizers can enhance the efficiency of the teacher's delivery of lessons and students' learning. However, no study had been conducted in using graphic organizers in the process of teaching and learning. Therefore, this explanatory mixed-method study aimed to investigate the effectiveness of Graphic Organizers in teaching Chemical Bonding to grade nine (n=98) students in Samtse Dzongkhag, Bhutan. The study's main objective was to compare the academic achievement of the control group (n=53) and experimental group (n=45) and also to investigate students' and teachers' (n=6) perceptions of using Graphic Organizers in teaching and learning Chemistry over four weeks. Learning achievement tests (pre-test and post-test), semi structured interviews, and survey questionnaires were used to collect the quantitative data and qualitative data. The independent sample t-test analysis of the post-test scores revealed a statistically significant difference between the control group and the experimental group with a mean difference value of 1.17 (p=0.017), indicating that the use of Graphic Organizers improved the students' learning achievement which was also reflected in the qualitative data gathered through interview and survey questionnaire. As a result, this study strongly suggests the use of graphic Organizers as a teaching and learning tool to improve students' academic performance in Chemistry.

Grasping rehabilitation using motor imagery with or without neurofeedback after tetraplegia: a study protocol for a bicentric randomised controlled trial

IntroductionTetraplegia causes extensive sensorimotor deficits affecting activity, participation and quality of life. People with C6-C7 tetraplegia can learn to grasp objects by performing wrist extension movement (ie, tenodesis grasp), and...

The formation of visual thinking of students in technical universities in the context of higher mathematics education

Abstract The visualisation of teaching higher mathematics as a development of information and communication technologies determines the transition of the educational process to a new level of its development. As a result, it should focus on the visual orientation and modern practice of its use. The question arises as to the formation of students’ visual thinking as a necessary component of the training of a modern specialist. In this context, a study has been conducted on the problem of using visual information and its visual perception in teaching higher mathematics on the example of individual sections, as well as techniques of justification based on visual information. The examples offered in the article form the skills of working with graphic information. Developing visual thinking, they fix attention during the learning process, implicitly and indirectly contributing to the conversion of mental content into a visual image, ensuring the formation of a more complete picture of an image or concept. The article analyses the results of using visualisation in the educational process of students of technical universities. The influence of visualisation on the level of students’ knowledge is analysed. In particular, the ability of a certain contingent of students to perceive and use visual images, their ability to think and express thoughts in images, perceive the content of logic, emotions contained in visual information, as well as the ability to operate with visual images in communication, establish cause and effect relationships and relations between concepts, as well as memorise and reproduce ideas about objects is noted.

Pipeline defect detection system based on phased array excitation technology

Abstract To address the challenges of non-destructive testing of professional industrial pipeline conditions, this paper designs a pipeline defect detection system based on phased array excitation technology. Online/offline detection equipment can be selected according to different application scenarios, achieving various functions such as phase delay calculation, ultrasonic data collection, and graphical display of calculation results. This article mainly elaborates on the principle of phased array excitation technology, the circuit design of detection equipment, and the overall design of upper computer software, proposing a practical solution for non-destructive testing of industrial pipelines.

A novel smartphone application for bladder cancer management (BCM App): Design, development, and usability evaluation

BACKGROUND: Providing clinical guidelines to clinicians using innovative technologies seems practical and useful. This study aimed to design, develop, and evaluate a smartphone application to assist urologists in managing bladder cancer (BCM App). MATERIALS AND METHODS: The study was conducted in three phases, following the user-centered design model, at the urology clinic of Khorshid Hospital (Isfahan, Iran) in 2021. Components and functionalities for BCM App were specified in three focus group sessions with urologists and urology residents using clinical guidelines. Adopting the Delphi technique, the participants completed a questionnaire addressing issues including educating and informing clinicians, performing clinical calculations, representing graphical information, and recording patient information. A conceptual model for the app was designed, and the final product was developed. The usability of the BCM App was evaluated using the think-aloud technique by usability experts and end-users. RESULTS: The app’s components were categorized into three groups: Patient evaluation, disease staging and management, and patient follow-up. The app’s main components included “bladder cancer classification,” “disease grading and staging,” “management based on the disease stages,” “principles of intravesical treatment,” and “classifying follow-ups by disease stages.” Moreover, the most prominent app’s functionalities were “using staging and grading table,” “using American Urological Association risk stratification,” “calculating disease stages,” “calculating patient’s follow-up,” and “recording patient information.” The usability evaluation results revealed that the BCM App was at a “highly acceptable” level. CONCLUSION: To design and develop a smartphone app for managing bladder cancer, the involvement of urologists is crucial. Apart from assisting urologists in effectively managing bladder cancer, the proposed app has the potential to enhance residents’ knowledge and streamline their access to evidence.

Profitability Indicators: Critical Analysis and Applicability in Modern Conditions

Constant variability of the external environment is one of the key features affecting the business activity of domestic organizations and generates the need for constant updating of managers’ professional skills. The issues of assessment efficiency of commercial companies are always relevant not only for owners, but also for managers, employees and other stakeholders. In the conditions of economic instability, the interest to the indicators of organizations’ efficiency increases and, accordingly, their clarification and adjustment is required. and adjustment. The purpose of the study is to summarize the profitability indicators depending on the goal-setting of the participants of commercial organizations and to establish the possibility of using these indicators to assess the effectiveness of the company’s activities. Many years of experience of the authors of this article in the field of business valuation allowed to systematize the techniques of calculation of the main profitability indicators, to present an updated system of their grouping, as well as to classify the factors affecting them. Also, theoretical approaches to the calculation of invested capital were generalized in the course of the work. The research applied the methods of analysis, comparison, synthesis, classification, collection and generalization, logic, graphical and tabular display of information. Theoretical significance of the obtained results consists in the development of the methodology of value-oriented management in order to actualize and adapt the algorithms for calculating profitability indicators to domestic conditions, taking into account the interests of the participants of the organization. The practical significance of the work consists in the development of methods for assessing the performance indicators of the company, which can be used in the corporate governance of commercial structures, as well as in making management decisions by stakeholders.

Застосування методу двобічних наближень до розв’язання першої крайової задачі для одновимірного рівняння теплопровідності з експоненціально нелінійним коефіцієнтом теплопровідності

The problem of heat conduction in nonlinear media reduces to solving boundary value problems for nonlinear heat conduction equations, where the coefficients of the equation or the function of the power of heat sources depend on temperature according to some law. Among the numerical methods for solving problems for nonlinear equations of mathematical physics, one can distinguish finite difference methods, finite element methods, variational and projection methods, as well as iterative methods. Among the latter group, the two-sided approximation method is particularly attractive due to its ability to provide a convenient estimate for the error of the approximate solution and to prove the existence of a solution to the original problem. The theory of linear partially ordered spaces was developed by L. V. Kantorovich in the second half of the 1930s. Further development of this theory is associated with the works of M. A. Krasnosel’skii, H. Amann, V. I. Opojtsev, N. S. Kurpel, B. A. Shuvar, A. I. Kolosov etc. The aim of this article is to develop a two-sided approximation method based on the use of Green's functions for solving the first boundary value problem for a one-dimensional nonlinear heat conduction equation and to investigate its performance when solving test problems. To achieve this goal, the unknown function was replaced, and the boundary value problem was reduced to a Hammerstein integral equation, which was considered as a nonlinear operator equation in a partially ordered Banach space. Conditions for the existence of a unique positive solution to the problem and conditions for two-sided convergence of successive approximations to it were obtained. The developed method was implemented in software and tested on solving test problems. The results of the computational experiment are illustrated with graphical and tabular information

ПРИМЕНЕНИЕ СКАНИРУЮЩЕЙ ЭЛЕКТРОННОЙ МИКРОСКОПИИ В РЕВЕРС-ИНЖИНИРИНГЕ ЭЛЕКТРОННОЙ КОМПОНЕНТНОЙ БАЗЫ

The article shows the relevance of scanning electron microscopy in the problems of analysing and synthesising micro- and nanoscale structures of semiconductor devices. The aim of the article is to analyze the structure quality of semiconductor devices in integrated circuits, to restore the sequence of technological operations and reverse engineering. To achieve this goal, the following tasks are solved: dielectric and conductive structures of semiconductor devices in integrated circuits are studied, the results of measuring the linear dimensions of the semiconductor device elements are analyzed, the dustiness coefficient is calculated. The study applies the methods of a full-scale experiment, digital methods of processing graphic information. A sample of an integrated circuit manufactured using field technology is selected as the initial data; the information and measuring system is built on the basis of a KYKY 8000 scanning electron microscope with a control computer. As a result, images of the element structures of field-effect transistors in the integrated circuit are obtained, on the basis of which the dustiness coefficient is calculated. The results show that with the help of scanning electron microscopy it is possible to analyze the technology of manufacturing semiconductor devices, to determine the sequence of execution and features of technological operations, to identify the causes of product defects to optimize technological manufacturing processes.

Development of the NIST X-ray Photoelectron Spectroscopy (XPS) Database, Version 5

It has been over 20 years since the National Institute of Standards and Technology (NIST) launched the first web version of its X-ray Photoelectron Spectroscopy (XPS) database (Lee et al., 2002; Wagner, 1991) which has approximately 1000 active users every day. This database was recently redesigned to meet NIST security requirements and to include new features and enhancements. The new application is built upon a relational database using a cross-platform and open-source framework (Henning et al., 2002). In addition to a modern design interface, the new features include custom-built components for displaying formatted molecular formulas and spectral lines, for sorting spectral lines, and for graphical display of chemical shifts of binding energies, Auger-electron kinetic energies, and Auger parameters for elements in different compounds.

Decoding Research with a Glance: The Power of Graphical Abstracts and Infographics

Background and Aims: Historically integral to science, visual elements like Darwin’s evolutionary trees have evolved with technological advancements, leading to more sophisticated and accessible visual representations. Graphical abstracts (GA) and infographics (IG) have become pivotal in enhancing the dissemination and understanding of scientific research by transforming complex data into visually engaging summaries. This review explores the evolution, impact, and design principles of these tools in scientific communication, highlighting their significance in the digital era. Methods: We did a comprehensive review of the English literature, in April 2024, from the databases of PubMed, Scopus, Embase, and Google Scholar to curate the appropriate articles related to the GA and IG related to research-publications. We have also made some representative examples of each of these two tools, using published articles in the Apollo Medicine journal. Results: The GA and IG, are the tools that not only aid in bridging the gap between scientific communities and the public but also enhance comprehension, engagement, and retention of information across diverse audiences. By utilising strategic layouts, colours, and interactive elements, they make complex information more digestible and appealing. Conclusion: This review addresses the challenges of maintaining accuracy and avoiding oversimplification in visual science communication. The future directions suggest a move towards more interactive and immersive visual experiences, emphasising the need for empirical research to optimise design and impact. GA and IG are transforming scientific communication by making research findings more accessible and engaging, fostering a better-informed public.

Uncertainty quantification in high-dimensional linear models incorporating graphical structures with applications to gene set analysis.

The functions of genes in networks are typically correlated due to their functional connectivity. Variable selection methods have been developed to select important genes associated with a trait while incorporating network graphical information. However, no method has been proposed to quantify the uncertainty of individual genes under such settings. In this paper, we construct confidence intervals (CIs) and provide P-values for parameters of a high-dimensional linear model incorporating graphical structures where the number of variables p diverges with the number of observations. For combining the graphical information, we propose a graph-constrained desparsified LASSO (least absolute shrinkage and selection operator) (GCDL) estimator, which reduces dramatically the influence of high correlation of predictors and enjoys the advantage of faster computation and higher accuracy compared with the desparsified LASSO. Theoretical results show that the GCDL estimator achieves asymptotic normality. The asymptotic property of the uniform convergence is established, with which an explicit expression of the uniform CI can be derived. Extensive numerical results indicate that the GCDL estimator and its (uniform) CI perform well even when predictors are highly correlated. An R package implementing the proposed method is available at https://github.com/XiaoZhangryy/gcdl.

The Effect of Probiotics on Obesity with Comorbid Depression: A Systematic Review and Meta-Analysis.

Aims/Background Obesity and depression frequently co-occur, and the relationship between them is bidirectional. Being obese or overweight increases the risk of depression, and conversely, depression increases the risk of obesity or overweight. Emerging clinical research has shown that probiotics may be effective in treating obesity and associated depression. Modulating gut microbiota with probiotics may improve obesity-related depression, but current evidence is inconsistent. Methods We systematically searched PubMed, EMBASE, Web of Science, and Cochrane Library for randomized controlled trials examining probiotics for depression in obese adults. Mean difference (MD) in depression scores between probiotic and placebo groups was pooled across studies using random-effects models. Heterogeneity was assessed using I2 to explain heterogeneity in meta-regression analysis. To detect the publication bias of the included studies, a funnel plot, and Begg and Egger tests, were used. Possible heterogeneity moderators were detected by subgroup and sensitivity analyses, Galbraith plot, and graphic display of study heterogeneity (GOSH) analysis. Leave-one-out and Influence analyses were performed to assess sensitivity. Results Five trials (n = 488) were included. Overall, probiotics did not significantly improve depressive symptoms versus placebo (MD = 0.08, 95% confidence interval [CI] = -0.63 to 0.79, p = 0.82). Considerable heterogeneity among studies was observed (I2 = 63%). In subgroup analyses, probiotics significantly reduced depression as measured by the Edinburgh Postnatal Depression Scale (MD = -0.60, 95% CI = -1.17 to -0.03, p = 0.04) with no heterogeneity (I2 = 0%). Probiotics also decreased depressive symptoms after 12 weeks of supplementation (MD = -0.78, 95% CI = -1.58 to -0.01, p = 0.05) versus placebo. No publication bias was found using Begg and Egger tests. The GOSH diagnostics revealed three outliers, among the clusters identified by K-means, DBSCAN (Density-based spatial clustering of applications with noise algorithm), and GMM (Gaussian Mixture Model) analyses. Conclusion Overall, probiotics did not improve depressive symptoms in obesity. However, beneficial effects were observed with the Edinburgh Postnatal Depression Scale and short-term use of probiotic. Additional rigorous randomized controlled trials are warranted to elucidate the therapeutic potential of probiotics for obesity-related depression.

Price trends in the global electricity market

The relevance of the research topic is determined by the need to adapt to rapid global changes in the electric power industry, which is associated with a change in the structure of the energy balance, the strengthening of geopo­litical factors, the impact of climate change, economic globalization, new regulatory require­ments, and the rapid development of energy storage technologies and smart networks. These changes lead, on the one hand, to challenges in ensuring energy security, and on the other hand, contribute to significant price volatility in the electricity market. As a result of the influence of global price trends and world energy develop­ment priorities on the domestic electricity sector, the study of these trends is of great importance for Ukraine. The aim of the research is to establish the price trends of the global electricity market with the determination of the key factors of price growth in the context of challenges for Ukraine regarding the stabilization of electricity prices. The research is based on the hypothesis that the factors that determine the trajectory of price changes on the international electricity market are also characteristic of the Ukrainian electricity market. The research was conducted using the methods of statistical analysis, syn­thesis, grouping, tabular and graphical display of results. A retrospective analysis of price dyna­mics on the global energy market was carried out, which showed a faster pace of price changes for energy products than for other products, with a faster increase in oil prices than for coal. The current trends in the development of changes in electricity prices were analyzed, the reasons for their rapid growth in 2021 were identified, and it was noted that in some countries, such as the USA and China, prices remained stable. Using the example of the EU countries, it has been analytically proven that electricity tariffs depend on the price structure. The factors that affect pricing in the field of electricity in the world are determined: energy prices, global crisis pheno­mena, the amount of available supply, weather conditions, supply chain problems, grid infra­struc­ture and distribution, the structure of the electricity market, the share occupied by taxes and fees in electricity prices and the purchasing power of the population. The current state of the electricity market of Ukraine is analyzed, which is characterized by a price imbalance, especially in the retail sector, a settlement crisis between the main market participants, a lack of real competition, limited transparency of the market and opportunities for manipulation on it, and the imperfection of the legislative framework. These factors are exacerbated by external negative influences in the form of a full-scale Russian invasion due to the destruction of electric power infrastructure and loss of capacity

Future Shorelines: A Living Shoreline Site Selection and Design Decision Support Tool that Incorporates Future Conditions Induced by Sea Level Rise

Most living shoreline site selection and design decision support tools are based upon existing environmental conditions. We developed a web-based, geospatial tool called Future Shorelines that integrates high-resolution landscape elevation data and a matrix of locally derived NOAA Interagency Sea Level Rise Scenarios to characterize future conditions of submergence and shoreline translation induced by sea level rise. Once the practitioner selects a location of interest, sea level rise scenario (e.g., high), and target year (e.g., 2050), the tool will generate plan view and cross-sectional informational graphics specific to their choices. This information can then be paired with other menu options, like parcel ownership, to facilitate the planning and construction of nature-based shoreline stabilization solutions that (1) are located where opportunities for horizontal migration are optimized, (2) remain accessible for monitoring and maintenance, and (3) perform as intended over the design life of the installation. The tool’s menu options and the user interface were informed by project partner input solicited during numerous workshops convened over the duration of the 2-year project. This coproduction created a product that was familiar to the end user and therefore increased the likelihood that it would be utilized by them during the planning and design of living shoreline projects. Although developed for use in the Indian River Lagoon, located along the east-central Florida coast, it can be seamlessly replicated for application in other coastal regions of the USA where the requisite data are available.