Practical Aspects Research Articles

Regression based stochastic energy management strategy for a grid connected microgrid using Artificial Electric Field Algorithm

Recent decade has witnessed steep technological advancement in the renewable energy sector due to growing concern of climate change and emission cut target. The lack of availability of fossil fuels and the high price of the same have made the use of Renewable Energy Sources (RES) as a promising approach for generating clean and sustainable energy at local level. This persuades the implementation of Microgrid (MG) supported with RES, to cater various types of load demand. However, planning and optimizing a MG operation have become challenging due to the intermittent nature of RES and uncertain loads. To address this issue, this paper introduces a Stochastic Energy Management Strategy (SEMS) for a grid connected MG comprising Photovoltaic, Wind Turbine, Fuel Cell, Micro Turbine, Battery Energy Storage and electrical as well as heat energy demand. The volatilities of RES power output and energy demand are modeled via Gaussian Process Regression (GPR) and Monte Carlo Simulation (MCS) respectively. The problem is framed as non-linear (NL) dynamic stochastic optimization problem and solved using ‘Artificial Electric Field Algorithm (AEFA)’. Here, minimization of expected value of operational and emission cost are taken as objective functions; while various practicality aspects are modeled as constraints in the problem. Further, the efficacy of the proposed approach is validated around the first central moment of the load. Various case studies are performed to estimate the day ahead optimum operating schedule of the Distributed Energy Resources (DER) and to assess the impact of load uncertainties on DER operation and total MG operation cost. Further, the efficacy of the GPR is verified through comparison with MCS based result.

Medication use review as a service for pharmaceutical care: Conditions for implementation in pharmacy practice


 
 
 Pharmaceutical care is an aggregated pharmaceutical service based on an innovative approach towards the patient’s pharmacotherapy process. It was introduced into the Polish pharmaceutical law system in 2008, but it was not until the end of 2020 that the list of activities included in this innovative health service was clarified. The delayed initiation of pharmaceutical care means that implementation procedures are lacking, making it difficult to fully implement it into pharmacy practice. The initiating service for pharmaceutical care in pharmacy practice is the medication use review (MUR), which, combined with the pharmacotherapy assessment, has the task of detecting and solving patients’ drug-related problems and thus ensuring safety in the pharmacotherapy process. Such important objectives for medication use review face organisational barriers that make its effective implementation difficult and practically impossible, limiting the scope of pharmaceutical care to the consultative aspect in practice. The aim of the article is to present the implementation conditions of medication use reviews in Polish pharmacy practice, which helped to identify the conditions for effective implementation of pharmaceutical care. Achieving the research objectives requires the use of a variety of research methods. To identify the conditions for effective implementation of medication use reviews, the method of analysis of legal acts was used. Apart from that, the analysis of literature and the method of examination of documents were also implemented, which made it possible to determine whether the Polish pharmaceutical law system creates conditions for effective provision of this service in pharmacy practice. The method of observation (the mystery shopper) was also used to indicate the territorial (subjective scope) scope of the provision of medication use review and to identify barriers to their implementation in Polish organisational and legal realities. All the methods applied made it possible to determine to what extent pharmacist shortages in the pharmacy limit the implementation process. The results of the study were subjected to statistical analysis.
 
 

Applied Machine Learning for Information Security

Information security has undoubtedly become a critical aspect of modern cybersecurity practices. Over the past half-decade, numerous academic and industry groups have sought to develop machine learning, deep learning, and other areas of artificial intelligence-enabled analytics into information security practices. The Conference on Applied Machine Learning (CAMLIS) is an emerging venue that seeks to gather researchers and practitioners to discuss applied and fundamental research on machine learning for information security applications. In 2021, CAMLIS partnered with ACM Digital Threats: Research and Practice (DTRAP) to provide opportunities for authors of accepted CAMLIS papers to submit their research for consideration into ACM DTRAP via a Special Issue on Applied Machine Learning for Information Security. This editorial summarizes the results of this Special Issue.

Chemical engineering and the circular water economy: Simulations for sustainable water management in environmental systems

In the face of escalating water scarcity and environmental degradation, the imperative for sustainable water management has never been more urgent. Chemical engineering emerges as a pivotal discipline in the pursuit of solutions to these pressing challenges. This review explores the role of chemical engineering in advancing the circular water economy paradigm through simulations aimed at fostering sustainable water management within environmental systems. The circular water economy concept advocates for the efficient utilization, recycling, and reclamation of water resources to minimize waste and maximize resource efficiency. Chemical engineering techniques play a fundamental role in realizing this vision through the design and optimization of water treatment processes, resource recovery systems, and advanced simulation methodologies. This review delves into the application of computational simulations within the realm of chemical engineering to model and analyze various aspects of the water cycle. Such simulations enable the assessment of complex environmental systems, aiding in the identification of optimal strategies for water resource allocation, pollution control, and ecosystem preservation. Key areas of focus include the simulation of wastewater treatment processes, such as biological, physical, and chemical treatment methods, to enhance pollutant removal efficiency and promote water reuse. Furthermore, advanced modeling techniques facilitate the evaluation of innovative technologies like membrane filtration, adsorption, and electrochemical processes for the purification and desalination of water resources. Moreover, chemical engineering simulations enable the assessment of integrated water management strategies, encompassing aspects of urban water systems, industrial processes, and agricultural practices. By considering the interconnectedness of various sectors, holistic approaches to water resource management can be formulated, promoting resilience and sustainability in the face of changing environmental conditions. The integration of chemical engineering simulations into the framework of the circular water economy offers a promising avenue for advancing sustainable water management practices. Through comprehensive modeling and analysis, informed decision-making can pave the way towards a more resilient and equitable water future, ensuring the long-term viability of our environmental systems.

Progress in Biomarkers Related to Biliary Atresia.

Biliary atresia (BA) is a congenital cholestatic disease that can seriously damage children's liver function. It is one of the main reasons for liver transplantation in children. Early diagnosis of BA is crucial to the prognosis of patients, but there is still a lack of reliable non-invasive diagnostic methods. Additionally, as some children are in urgent need of liver transplantation, evaluating the stage of liver fibrosis and postoperative native liver survival in children with BA using a straightforward, efficient, and less traumatic method is a major focus of doctors. In recent years, an increasing number of BA-related biomarkers have been identified and have shown great potential in the following three aspects of clinical practice: diagnosis, evaluation of the stage of liver fibrosis, and prediction of native liver survival. This review focuses on the pathophysiological function and clinical application of three novel BA-related biomarkers, namely MMP-7, FGF-19, and M2BPGi. Furthermore, progress in well-known biomarkers of BA such as gamma-glutamyltransferase, circulating cytokines, and other potential biomarkers is discussed, aiming to provide a reference for clinical practice.

Shared Type Integrated Learning Tools for Human Respiratory System Material and Vibration Concepts for Students at SMPN 1 South Bulango

This research aims to examine the feasibility of shared type integrated science learning tools based on aspects of validity, practicality and effectiveness. This research uses the type of Borg and Gall R&D development modified by Sugiyono (2017). Data collection techniques are by means of observation, questionnaires and tests. The results of the validity of learning tools (RPP, LKPD, TES) obtained an average of 95.6%, 92.4% and 95.3% in the very valid category. The students' response to the shared type of integrated science learning tools obtained a percentage of 92.9% in the very good category. The percentage of student activity achieved was 82.7% in the very good category. And student learning outcomes obtained an N-Gain of 0.63 with medium criteria. From the data obtained, it can be concluded that the integrated science learning device type, shared material on the human respiratory system and the concept of vibration, has met the criteria of being valid, practically effective, so it is suitable for use in science learning at school.

Digital perspectives for actor training

This article explores how actor training, and physical actor training especially, can shift fromthe well-established historical norm of live workshop interaction to embrace online possibilities.It briefl y examines some of the contextual issues around institutional approaches to training, includingstudents’ expectations, and charts some digital innovations in the fi eld. It then traces theauthor’s own evolutionary history of publishing using analogue and then digital tools, from drawings,through CD-ROMs and DVDs to online materials. This has culminated in the publicationpre-pandemic, though anticipating subsequent shifts online, of ‘Physical Actor training – an onlineA-Z’ (PATAZ), for Methuen Drama Bloomsbury. PATAZ is introduced as a case study, showing howthe project team developed fi lm material as a means to articulate key aspects of training practice;for example by showing the learning and training process, for presenting voice work and for actors’explorations of space and movement. The article describes how the project’s fi lms were augmentedwith various digital tools, such as on-screen animation and it introduces some of the rangeof approaches in fi lming and editing that were adopted to differentiate each term. It concludesby suggesting that we are only at the beginning of a digital revolution regards actor training,its documentation and analysis and related publishing practices.

Newly Graduated Physical Education Teachers’ Experiences of and Readiness for Professional Practice: A Scoping Review

This scoping review examines previously published research on newly graduated physical education (PE) teachers in an effort to describe the scope and types of the empirical studies, perspectives and understandings concerning this population’s experiences of and readiness for the performative and organisational aspects of professional practice. Following an initial review of 71 studies, a total of 16 published studies were found to be eligible for inclusion in the review. A five-step qualitative content analysis then identified the important features of the data related to the stated aim of the review. Prior studies determined newly graduated PE teachers to be qualified in their field, although their professional practice depends on other people’s participation and cooperation within the school environment. A problem-oriented trend was observed in the research data when newly graduated PE teachers were asked to elaborate on their experiences. Moreover, a knowledge gapwas identified in terms of newly graduated PE teachers and their varied experiences of the inductionphase of their professional practice.

Selective comparison of verifiable online voting systems

AbstractThis paper aims to provide a guideline for identifying the most suitable online voting system under the given requirements and acceptable tradeoffs. We have selected twelve (more or less) well‐known online voting systems that rely on distinct cryptographic mechanisms for achieving security. For each of the systems, we summarized the key architectural and cryptographic ideas behind their design. Then, we analyzed the required trust assumptions for achieving the three most important security properties (i.e., verifiability, divided between cast‐as‐intended, recorded‐as‐cast, and tallied‐as‐recorded verifiabilities, privacy, and receipt‐freeness). To make a fair comparison, we did our analysis based on identical security definitions. Note that we selected wildly known and well‐accepted definitions, which are scheme‐neutral, to avoid any biases. Also, we discussed some of the most critical practical aspects of those systems, such as–the necessity for secure or anonymous channels, reliance on secure printer facilities and so forth. To facilitate the comparison, we suggested a unified naming convention for system elements based on their roles and functions. Then, based on the unified naming convention, we compared all twelve online voting systems for both the security properties and practical aspects. Finally, we summarized our observations regarding patterns and dependencies we observed, provided guidelines for selecting the online voting system, and gave recommendations regarding system design. We hope our work contributes to the online literature and facilitates the process of selecting the most suitable e‐voting system depending on the requirements of a specific election.

A limit analysis-based topology optimisation method for geostructure design

Geostructures, vital for the progress of civilisation, often face inefficiencies and suboptimal performance due to the lack of optimisation in current designs. Achieving cost-efficiency in geostructure design involves optimising material usage while considering practical construction aspects. While size and shape optimisations are common in geostructure design, the application of topology optimisation remains underexplored. This paper addresses this gap by introducing a novel topology optimisation method for three-dimensional geostructure design. The method integrates mixed limit analysis and density-based topology optimisation theories, allowing for two-material design focused on the ultimate bearing capacity of the geostructure. The innovation resides in aligning the applied external load in the topology optimisation process with the ultimate load that the designed geostructure can sustain. The robustness of the proposed method is exemplified through its application to the design of an embankment and soil foundation, showcasing its potential to enhance the efficiency and performance of geostructures. This research contributes to the advancement of geostructure design practices, ultimately promoting sustainable and resilient infrastructure development.

Deep Eutectic Solvents as Agents for Improving the Solubility of Edaravone: Experimental and Theoretical Considerations.

In this study, both practical and theoretical aspects of the solubility of edaravone (EDA) in Deep Eutectic Solvents (DESs) were considered. The solubility of edaravone in some media, including water, can be limited, which creates the need for new efficient and environmentally safe solvents. The solubility of EDA was measured spectrophotometrically and the complex intermolecular interactions within the systems were studied with the COSMO-RS framework. Of the four studied DES systems, three outperformed the most efficient classical organic solvent, namely dichloromethane, with the DES comprising choline chloride and triethylene glycol, acting as hydrogen bond donor (HBD), in a 1:2 molar proportion yielding the highest solubility of EDA. Interestingly, the addition of a specific amount of water further increased EDA solubility. Theoretical analysis revealed that in pure water or solutions with high water content, EDA stacking is responsible for self-aggregation and lower solubility. On the other hand, the presence of HBDs leads to the formation of intermolecular clusters with EDA, reducing self-aggregation. However, in the presence of a stoichiometric amount of water, a three-molecular EDA-HBD-water complex is formed, which explains why water can also act as a co-solvent. The high probability of formation of this type of complexes is related to the high affinity of the components, which exceeds all other possible complexes.

The future of healthcare: green transformational leadership and GHRM’s role in sustainable performance

PurposeOrganizations have increasingly been compelled to engage in ecological businesses in recent decades, necessitating identifying environmental practices contributing to enhanced sustainability. One of the main reasons for doing this research is to see how far down the path to green transformational leadership (GTFL) in Green Human Resource Management (GHRM) practices in the healthcare industry in Pakistan. Additionally, this research aims to analyze how this change affects the long-term success of businesses in sustainable performance (SP).Design/methodology/approachTo identify factors related to the study variables, the research utilized master journals, as well as the Web of Science and Scopus databases. The ISM-DEMATEL (Interpretive Structural Modeling - Decision Making Trial and Evaluation Laboratory) technique was employed to establish a hierarchical model. This model facilitated the identification of cause-and-effect relationships among factors, which were further elucidated using the DEMATEL interrelationship diagram.FindingsThe analysis of the results indicates that Green Training (F4), Green Job Analysis (F1), Intellectual Stimulation (F10), and Green Product Innovation (F9) are the primary factors that have a significant impact on achieving Environmental Policies and Regulations (F13), and Subjective Environment Norms (F14) of SP factors.Research limitations/implicationsThe study is implemented in the healthcare industry of Pakistan, with a focus on practical and managerial aspects. It encourages managers to develop and adapt their human resources policies and environmental strategies. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment. The research was carried out during the period of the pandemic. The scope of this study was restricted to the healthcare industry in Pakistan.Originality/valueIn order to improve SP, this study presents a unique strategy combining sustainability into decision-making procedures with the function of GTFL in GHRM. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment.

Texting, teens, and parental challenges in practices of family socialization

AbstractThis article examines how parent–teen texting enables family members to construct family relations and negotiate behavioral and communicative norms while being apart. The analyses of family texting focus on how teenagers and parents deal with issues of teenage independence and how this involves situated negotiations of teenagers being constructed as either able or unable to live up to family norms and the family's communication culture. Based on the analyses, I argue that digitally mediated interactions complement co‐present contexts of family socialization and influence the relation between power‐ and solidarity‐oriented aspects of everyday socialization practices, for instance, by blurring the boundaries between parental care and control.

Theoretical Framework and Research Proposal for Energy Utilization, Conservation, Production, and Intelligent Systems in Tropical Island Zero-Carbon Building

This study aims to theoretically explore the technological systems of tropical island zero-carbon building (TIZCB) to scientifically understand the characteristics of these buildings in terms of energy utilization, energy conservation, energy production, and intelligent system mechanisms. The purpose is to address the inefficiencies and resource wastage caused by the traditional segmented approach to building energy consumption management. Thus, it seeks to achieve a comprehensive understanding and application of the zero-carbon building (ZCB) technology system. This article focuses on the demands for energy-efficient comfort and innovative industrialization in construction. Through an analysis of the characteristics of TIZCB and an explanation of their concepts, it establishes a theoretical framework for examining the system mechanisms of these buildings. Additionally, it delves into the energy utilization, energy conservation, energy production, and intelligent system from macro, meso, and micro perspectives. This approach results in the development of an implementation strategy for studying the mechanisms of energy usage, conservation, and intelligent production systems in TIZCB. The results show that: (1) this study delves into the theoretical underpinnings of TIZCB, emphasizing their evolution from a foundation of low-carbon and near-zero energy consumption. The primary goal is to achieve zero carbon emissions during building operation, with reliance on renewable energy sources. Design considerations prioritize adaptation to high-temperature and high-humidity conditions, integrating regional culture along with the utilization of new materials and technologies. (2) A comprehensive technical framework for TIZCB is proposed, encompassing energy utilization, conservation, production capacity, and intelligent systems. Drawing from systems theory, control theory, and synergy theory, the research employs a macro–meso–micro analytical framework, offering extensive theoretical support for the practical aspects of design and optimization. (3) The research implementation plan establishes parameterized models, unveiling the intricate relationships with building performance. It provides optimized intelligent system design parameters for economically viable zero-carbon operations. This study contributes theoretical and practical support for the sustainable development of TIZCB and aligns with the dual carbon strategy in China and the clean energy free trade zone construction in Hainan.

Practical aspects of applying artificial intelligence in metrology

Practical aspects of applying artificial intelligence in metrology

PRACTICAL ASPECT OF NUTRITIONAL SUPPORT FOR WOUND-HEALING PATIENTS : A COMPREHENSIVE SYSTEMATIC REVIEW

Background: The skin is the largest organ system whose primary function is to serve as a barrier to protect the body against foreign microbes and noxious substances. Skin integrity and function require macro and micronutrients for cell turnover to maintain homeostasis, and support new growth, and repair, especially in the event of injury or decreased integrity. Wound healing is an important focus of care across all settings, not limited to any particular condition or age group. Achieving optimal healing requires an understanding of nutritional requirements, and these need to be adapted to the setting and incorporated into a care plan. The aim: The aim of this study to show about practical aspect of nutritional support for wound healing patients. Methods: By the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, this study was able to show that it met all of the requirements. This search approach, publications that came out between 2014 and 2024 were taken into account. Several different online reference sources, like Pubmed, SagePub, and Google Scholar were used to do this. It was decided not to take into account review pieces, works that had already been published, or works that were only half done. Result: In the PubMed databasethe results of our search get 40 articles, whereas the results of our search on SagePub get 448 articles, on Google Scholar 4060 articles. Records remove before screening are 3376, so we get 1172 articles fos screening. After we screened based on record exclude, we compiled a total of 10 papers. We included five research that met the criteria. Conclusion: Nutrition is influential in wound healing, and some key nutrients extend their benefits to aesthetic outcomes. Several studies have shown associations between nutritional deficits and suboptimal wound healing outcomes. However, the current corpus of evidence remains rather generalized. 

Design, Simulation, Building, and Testing of a Microcontroller-Based Automatic Drowsiness Detection, Vehicle Braking, and Alert System

Aims: The premier practical aspect of this research drive is to propose, build, simulate, and evaluate an Arduino-built automatic vehicle driver drowsiness detection and alert system.
 Study Design: The pivotal role of a reliable braking system in vehicular safety cannot be overstated, particularly considering the escalating frequency of traffic accidents, notably prevalent in Indonesia where human factors take center stage as the primary accident catalyst. An insightful poll underscores physical fatigue or drowsiness while driving as the foremost concern. Acknowledging the nuanced disparities between conventional air systems and electric systems, this research strategically directs its attention toward crafting a new system characteristic that mirrors the efficiency of the existing systems.
 Place and Period of Study: The research action engaged by the authors in a bunch of two students under the command of a professor as a part of one of his course capstone projects for the Bachelor of Science in Electrical and Electronic Engineering degree at the American International University Bangladesh (AIUB), Dhaka, Bangladesh. The authors performed their investigative tasks at AIUB from June 2023 to January 2024.
 Methodology: Recognizing the imperative to fortify vehicular safety, the integration of artificial intelligence emerges as a vital solution to assist drivers in ensuring the safety of individuals both within and outside the vehicle. This focused study, tailored specifically for Electric Vehicles (EVs), centers on the innovative application of object and distance identification methodologies to provide a comprehensive braking action indicator. Leveraging a minicomputer and a sophisticated neural network approach, images captured by a stereo camera undergo meticulous machine learning processes. This facilitates the precise categorization and measurement of distances between objects, with subsequent priority decisions determining the optimal degree of braking action. Employing an intelligent methodology, specifically fuzzy logic, the study demonstrates a successful outcome by constructing a curve while concurrently enhancing the dynamics of the pre-existing system. Moreover, a finely tuned Pulse Width Modulation (PWM) signal for braking, lasting 10 milliseconds, is intricately devised based on the study's discerning results.
 Results: The system is simulated in Proteus and tested in real time to check its functionality. The outcomes of the test showed that the system can produce the appropriate signals based on the detection of any kind of driver’s drowsiness and can stop the car.
 Conclusion: This comprehensive approach ensures the seamless replacement of components while concurrently elevating the overall performance of the braking system

When interprofessionalism also involves the patient: how to provide good healthcare beyond care

The prevalence of aging-related chronic diseases makes it necessary to change organizational structures. In order to facilitate the transformation of health systems, interprofessional care teams, patient engagement, and collaborative practice will be necessary. Patient-centered interprofessional care is a process based on the collaborative relationship between healthcare professionals, patients and caregivers, as a useful strategy to “develop a shared understanding of the problem and generate a mutually acceptable assessment and management of the care plan”. Everything must take place on a collaborative level, always respecting the different skills. Although the literature provides preliminary information to support the benefits of the patient-centered approach, transformational leadership and an organizational culture are needed to foster learning, research, and the implementation of innovative models to patient care. Furthermore, in the Italian healthcare reality, the aspects of practicability and “sustainability” of this model of care should be considered and the key elements, mechanisms and stages of development necessary for its possible implementation should be better defined.

Sustainable Gender Equality: A Comparative Perspective on STEM Education and Employment in Jordan

Gender equality is a concept that is synonymous with debates towards economic and societal advancement, as manifested through the United Nation’s Sustainable Development Goal 5. This study sets out to identify the key indicators driving gender equality in Science, Technology, Engineering, and Mathematics (STEM) education and employment in Jordan. This area is both critical and timely in light of emerging challenges facing technological advancement, progressive economies, and wider societal inclusion strategies within the professional environment. This study predominantly employs a quantitative methodology, utilising a survey to evaluate and rank a comprehensive set of indicators/challenges associated with gender equality in the published literature. Feedback is gathered from both male and female participants. The findings of this study reveal certain categories and indicators that are highly ranked compared with others, with practical aspects such as workplace conditions and professional treatment, societal norms and gender stereotypes, and professional perceptions and underlying gender bias being more predominant in Jordan. This study also revealed differing challenges facing gender equality in employment compared with the ones faced in education. This finding resonates with the historical trajectory of academic progress in STEM fields in Jordan, and its divergence emphasises the need for a nuanced exploration to advance gender equality in STEM effectively.

Development of Problem-Based Tools to Improve Thinking Abilities in In-Service PPG Program Students

This research aims to develop problem-based learning tools that empower students' thinking abilities in the In-service Teacher Professional Education Program at Unima. The learning tools developed consist of modules and LKPD for the Biology Learning Tool Development course. The development model used is the ADDIE development model consisting of four stages, namely 1) analysis, 2) design, 3) development, 4) implementation, and 5) evaluation. The results of the research are the feasibility of the learning tools which are seen based on the aspects of validity, practicality, and effectiveness of the learning tools. Next, to see the effectiveness of problem-based learning tools on thinking ability using One Group Pretest-Posttest Design which was implemented on 29 PPG Daljab Category 1 students, class 3 of 2023. The results of the research show that the learning tools are very valid with an assessment score interval between 3.5-4 and reliability between 95%-98%. The learning implementation is categorized as very good with an assessment score interval between 3.6-4 with an average reliability of 97%, the average readability level of the device based on the Gunning Fox index is 11 with medium criteria, the readability percentage of the learning device based on the readability sheet of the learning device is 97% and students provide a positive response to learning tools was 98%. The increase in students' cognitive learning outcomes can be seen from the average N-gain value for all students, namely 0.68 with medium criteria, classical completeness of 100%, and indicator completeness with an interval of 2.5-3.5. Based on the results of this research, it can be concluded that problem-based learning tools in the biology teaching tool development course are suitable for use to improve the thinking skills of students in the PPG Daljab Program at Unima.