Implementation Of Principles Research Articles

Cationic waste hemp fibers-based membrane: Case study of anionic pollutants removal through environmentally friendly processes

In this study, waste hemp fibers were transformed into cationically modified lignocellulosic adsorbent through a three-step process. First, a delignification/defibrillation pretreatment was performed, followed by quaternization of fibers using the synthesized ionic liquid chlorocholine chloride-urea (CCC-U). Pressure-assisted cross-linking of modified fibres, using a citric acid, produced new membrane (CCC-UHM). The removal of anionic dyes (Acid Yellow 36 (AY36), Congo Red (CR), Acid Green 25 (AG25), and Acid Blue 92 (AB92)), and oxyanions (As(V) and Cr(VI)) was tested in batch and column system. The structural characteristics and chemical properties of the syntesised materials were investigated by SEM, FTIR, Raman, XPS, XRD, specific density, porosity and point of zero charges analysis. The endothermic and spontaneous equilibration of the system resulted in high capacity (qm), i.e., 302.9 mg g−1 (AY36), 456.8 mg g−1 (CR), 812.8 mg g−1 (AG25), 587.6 mg g−1 (AB92), 107.9 mg g−1 (As(V)), and 67.84 mg g−1 (Cr(VI)) at 25 °C, using the Langmuir model. The optimum pH for the adsorption process was 7. The multi-cycle adsorption/desorption process was followed by either decolorization, using laccase from M. thermophile expressed in Aspergillus oryzae (Novozym 51,003® laccase) immobilized on amino-modified fibers as biocatalyst, or photocatalytic degradation, in the presence of zinc oxide. The high decolorization efficiency (96%) observed for AG25 and AB92 underscores the considerable potential of laccase immobilized preparations as sustainable and eco-friendly approach for treating dye-contaminated wastewater. Photodegradation process provided low environmental threat of processed water, and biodegradabilty of exhausted membrane confirmed the circularity of the developed technology with implemented principles of sustainability.

National optical density standards: Principles of optical scheme implementation, designs, and metrological characteristics

National optical density standards: Principles of optical scheme implementation, designs, and metrological characteristics

Implementation of GMP and SSOP in Making Fish Chili Sauce

Chili Sauce is a famous food. Fish Chili Sauce made contains 10% fermented Tuna fish meat, to give a different taste. To get the quality of Fish Chili Sauce. The purpose of this study is to be able to apply the principles of Good Manufacturing Practice (GMP) and Sanitation Standard Operational Procedures (SSOP) in making fish Chili sauce. This study uses a Descriptive Method to see the Implementation of GMP and SSOP in Making Fish Chili Sauce. In each Principle of GMP and SSOP implementation, Objective and Subjective Microbial (TPC) and E.coli analysis will be carried out. The results of the study showed that the nutritional value of Fish Chili Sauce is Water 44.735%, Protein 4.595%, Fat 25.72%, Carbohydrate 4.1%, Ash 20.85%, pH 4.50 and TPC 2.4 x 10 4. With an Average Organoleptic Value of Taste 6.1 (Like), Aroma 6.5 (Like), Color 5.8 (Like), Texture and Overall Acceptance 6.2 (Like). The results of the Escherichia coli test from raw materials, equipment and also Fish Sambal showed Qualify.

Modern Data Storage Technologies in the Context of Industry 4.0

Existing and currently widely used data storage technologies are considered. It is noted that the growth in the volume of digital information resources at an astronomical pace has led to the rapid development of technologies for their creation, storage, and access to them. In the context of Industry 4.0, the use of digital technologies to create intelligent and interconnected production and data processing processes is of particular importance. Blockchain technology and cloud technologies have become integral components of modern digital transformation. Taking into account the current state of data storage and blockchain technologies, network capabilities, enterprise needs and other factors, the possibilities of selecting and using storage tools and technologies, principles of joint implementation and application of different technologies, as well as modern virtualization approaches and blockchain technology for solving distributed data storage issues have been explored.

Power, data and social accountability: defining a community-led monitoring model for strengthened health service delivery.

Despite international commitment to achieving the end of HIV as a public health threat, progress is off-track and existing gaps have been exacerbated by COVID-19's collision with existing pandemics. Born out of models of political accountability and historical healthcare advocacy led by people living with HIV, community-led monitoring (CLM) of health service delivery holds potential as a social accountability model to increase the accessibility and quality of health systems. However, the effectiveness of the CLM model in strengthening accountability and improving service delivery relies on its alignment with evidence-based principles for social accountability mechanisms. We propose a set of unifying principles for CLM to support the impact on the quality and availability of health services. Building on the social accountability literature, core CLM implementation principles are defined. CLM programmes include a community-led and independent data collection effort, in which the data tools and methodology are designed by service users and communities most vulnerable to, and most impacted by, service quality. Data are collected routinely, with an emphasis on prioritizing and protecting respondents, and are then be used to conduct routine and community-led advocacy, with the aim of increasing duty-bearer accountability to service users. CLM efforts should represent a broad and collective community response, led independently by impacted communities, incorporating both data collection and advocacy, and should be understood as a long-term approach to building meaningful engagement in systems-wide improvements rather than discrete interventions. The CLM model is an important social accountability mechanism for improving the responsiveness of critical health services and systems to communities. By establishing a collective understanding of CLM principles, this model paves the way for improved proliferation of CLM with fidelity of implementation approaches to core principles, rigorous examinations of CLM implementation approaches, impact assessments and evaluations of CLM's influence on service quality improvement.

PEMBIAYAAN DAN AKAD-AKAD PADA PERBANKAN SYARIAH (STUDI KASUS PADA BCA SYARIAH TAHUN 2017)

This study aims to analyze the types of contracts and Sharia-compliant financing products applied at BCA Syariah, focusing on the implementation of Sharia principles in its financing mechanisms. The research uses a qualitative descriptive method with a case study approach to describe the application of mudharabah, musyarakah, ijarah, and murabahah contracts in productive and consumptive financing at BCA Syariah in 2017. Data were collected from annual reports, scientific journals, and relevant literature. The results indicate that BCA Syariah has successfully implemented principles of fairness and transparency through Sharia-compliant contracts tailored to customers' needs. Additionally, the flexibility in terms and payment structures in Sharia-compliant financing products offers financial benefits to customers without imposing a financial burden while supporting community welfare. In conclusion, BCA Syariah plays an essential role in facilitating the growth of Sharia economics in Indonesia by providing access to fair and Sharia-compliant banking services.

The principle of the budgetary system unity amid implementation of regional budget independence: A case study of the Chechen Republic

Aim. To identify the ways to improve the observance of the principle of unity in the process of formation of the budgetary system of the Russian Federation (RF) on the basis of the analysis of the revenue part of the regional budget of the Chechen Republic.Objectives. To identify problems related to the observance of the principle of unity in the process of forming the budget system of the Russian Federation; to reveal the problem of the socalled chronic income insufficiency in regional and local budgets; to provide evidence of the effectiveness or inefficiency of the current mechanism of inter-institutional financial relations in Russia on the example of the Chechen Republic.Methodology. In the course of the research, the authors used general scientific methods and a number of special ones, including statistical and economic analysis, economic-mathematical and abstract-logical methods, as well as the method of graphical representation of information.Results. The idea is substantiated that the principle of independence of regional budgets should not contradict the principle of unity of the country’s budget system. It is proposed to develop a budget financing mechanism that takes into account not only the difference in providing the region with financial resources for independent development, but also the opportunity to give the funds allocated from the state budget an investment character.Conclusions. The article defines the directions for improving the mechanism while respecting the principle of unity in the process of forming the budget system of the Russian Federation. The country’s budget system should become one of the main sources of investment in the economy of the country and regions.

Balancing economic efficiency and national security: Industrial policy at the nexus of geopolitics and globalisation

This article examines the resurgence of industrial policy in the EU, with a particular focus on its evolving rationale in the context of geopolitical fragmentation and economic security concerns. It explores how recent global events, including the Covid-19 pandemic and Russia’s invasion of Ukraine, have intensified debates about government intervention in the economy and led to a renewed focus on strategic autonomy. The paper analyses the key EU industrial policy initiatives and their implications, particularly in sectors such as energy, defence and critical technologies. Special attention is given to the challenges and opportunities presented by Ukraine’s reconstruction, including potential adaptations to EU state aid rules. The article concludes by proposing principles for effective industrial policy design and implementation, emphasising the importance of maintaining single-market integrity, ensuring transparency and accountability, and balancing interventions with sound macroeconomic policies.

Implementing circular economy principles: evidence from multiple cases

With an orientation on sustainability and economic growth, the concept of circular economy (CE) emerges to tackle socio-environmental challenges. Current literature has provided important frameworks from CE operations and business model perspectives. However, in practice, companies are still facing the challenges of insufficient knowledge, lack of standard procedure, and resource constraint. Thus, this paper aims to answer the research questions: how can companies effectively implement CE principles in their operations? And how can such implementation result in value creation such as new products or service solutions? Through conducting seven case studies mainly in Wales, UK, our paper identifies the key activities of CE implementation projects, proposes a holistic process model, and further addresses three different CE scenarios. Our study contributes to the understanding of CE process and circular business models with empirical evidence. Findings can provide future research direction as well as implication for business and policy makers.

Assessing health technology implementation during academic research and early-stage development: support tools for awareness and guidance: a review.

For successful health technology innovation and implementation it is key to, in an early phase, understand the problem and whether a proposed innovation is the best way to solve the problem. This review performed an initial exploration of published tools that support innovators in academic research and early stage development with awareness and guidance along the end-to-end process of development, evaluation and implementation of health technology innovations. Tools were identified from scientific literature as well as in grey literature by non-systematic searches in public research databases and search engines, and based on expert referral. A total number of 14 tools were included. Tools were classified as either readiness level tool (n = 6), questionnaire/checklist tool (n = 5) or guidance tool (n = 3). A qualitative analysis of the tools identified 5 key domains, 5 innovation phases and 3 implementation principles. All tools were mapped for (partially) addressing the identified domains, phases, and principles. The present review provides awareness of available tools and of important aspects of health technology innovation and implementation (vs. non-technological or non-health related technological innovations). Considerations for tool selection include for example the purpose of use (awareness or guidance) and the type of health technology innovation. Considerations for novel tool development include the specific challenges in academic and early stage development settings, the translation of implementation to early innovation phases, and the importance of multi-disciplinary strategic decision-making. A remaining attention point for future studies is the validation and effectiveness of (self-assessment) tools, especially in the context of support preferences and available support alternatives.

The constituents, ideas, and trends in team-based learning: a bibliometric analysis

Team-based learning (TBL) has gained significant popularity in higher education. Despite its widespread adoption, there is a lack of comprehensive understanding of the current state of TBL research. Hence, we conducted a bibliometric analysis to address this gap, reviewing 692 papers from the Web of Science database. The study revealed a notable increase in TBL research, with a peak of 87 publications in 2021. The United States emerged as the leading contributor, with medical and nursing education being the most prominent research areas. Specialized journals played a significant role in disseminating TBL research. Key themes, including TBL outcomes, non-technical competencies, and implementation principles, were identified. Moreover, it highlighted a growing interest in applying TBL in interprofessional education and formative assessment. The findings suggest the need to establish priorities and expand TBL research beyond health professions education to other fields. This study provides valuable insights into the current landscape of TBL research and offers directions for future investigations.

Beyond the Language: Arabic Language Textbooks in Arab–Palestinian Society as Tools for Developing Social–Emotional Skills

Social–emotional learning (SEL) is recognized as an important component of the educational system, significantly impacting student success. This study aims to examine how Arabic language textbooks used in Arab elementary schools in Israel serve as tools for developing social–emotional skills, beyond their role in language instruction. Using a content analysis and semiological analysis on nine ‘Arabic Our Language’ textbooks for Grades 1 to 6, the findings revealed that all categories of social–emotional skills defined by CASEL were represented, but with an imbalance in their prevalence. Interpersonal relationship skills were the most frequent, while social awareness was the least represented, despite its importance in the Israeli context, which is the context in which this study takes place. Additionally, lower grades (1–3) showed a lack of SEL content compared to higher grades (4–6), even though an early integration of these skills is more effective. Furthermore, the SEL content did not always align with the fundamental principles for optimal implementation. This study emphasizes the need for curricula and textbooks in Arabic language education that are adapted to each developmental stage and tailored to the Israeli socio-cultural context. The findings underscore the critical role of Arabic language textbooks in fostering a holistic educational experience, preparing students for both academic and social success, and serve as a call to action for curriculum designers and textbook authors to integrate social–emotional learning in linguistic educational materials.

Optimising digital clinical consultations in maternity care: a realist review and implementation principles.

The COVID-19 pandemic has led to increased use of digital clinical consultations (phone or video calls) within UK maternity services. This project aimed to review the evidence on digital clinical consultations in maternity systems to illuminate how, for whom and in what contexts, they can be used to support safe, personalised and equitable care. A realist synthesis, drawing on diverse sources of evidence (2010-present) from OECD countries, alongside insights from knowledge user groups (representing healthcare providers and service users). The review used three analytical processes (induction, abduction and retroduction) within three iterative stages (development of initial programme theories; evidence retrieval and synthesis; validation and refinement of the programme theories). Ninety-three evidence sources were included in the final synthesis. Fifteen programme theories were developed showing that digital clinical consultations involve different mechanisms operating across five key contexts: the organisation, healthcare providers, the clinical relationship, the reason for consultation and women. The review suggests that digital clinical consultations can be effective and acceptable to stakeholders if there is access to appropriate infrastructure/digital resources and if implementation is able to ensure personalisation, informed choice, professional autonomy and relationship-focused connections. The review found relatively less evidence in relation to safety and equity. Due to the complexity of maternity systems, there can be 'no one-size fits all' approach to digital clinical consultations. Nonetheless, the review distills four 'CORE' implementation principles: C-creating the right environment, infrastructure and support for staff; O-optimising consultations to be responsive, flexible and personalised to different needs and preferences; R-recognising the importance of access and inclusion; and E-enabling quality and safety through relationship-focused connections. Service innovation and research are needed to operationalise, explore and evaluate these principles, particularly in relation to safety and equity. CRD42021288702.

Using Generative AI for Strategic HR Planning: How AI Can Elevate Your People Strategy

This article explores how generative artificial intelligence (AI) technologies such as machine learning and deep learning can be applied to enhance strategic human resource (HR) planning. Drawing from academic literature and industry case studies, the article outlines key techniques of gen AI and principles for responsible implementation. It then discusses specific opportunities for gen AI to elevate HR processes like recruiting, training, performance management, compensation planning, and cultural transformation from descriptive to prescriptive levels through data-driven decision making and insights. Aligning AI goals with organizational values around diversity, ethics and worker well-being is emphasized. The essay aims to translate technical concepts into practical recommendations while arguing that when guided properly, gen AI shows strong potential to empower HR leaders and elevate their people strategy through personalization, prediction, continuous improvement and robust measurement of ROI.

Государственная политика в сфере развития креативной экономики Российской Федерации

The article analyzes the main directions of state policy in the field of development of the creative economy of the Russian Federation. The institutional framework for the legal regulation of politics, key concepts and their definitions are given, the principles of implementation of the policy under consideration are systematized and supplemented, the main groups of existing support measures are formed.

Səhiyyə sahəsində beynəlxalq hüquq normalarının milli hüquqi implementasiyasının prinsipləri

The article examines the principles of national legal implementation of international legal norms in the field of healthcare. It shows that those principles serve the coordination of international legal norms and national legislation in the field of healthcare. In this process, the role of universally recognized principles of international law is determined. The necessity of the recognition of international legal norms’ supremacy in order to ensure the mentioned coordination is emphasized. It is noted that this is possible in case the public order of the national legal system is not violated. Keywords: healthcare, principles, international legal norms, national legal implementation, legislation, national legal system.

ANALYSIS OF THE RESULTS OF SIMULATIVE MODELLING OF THE INFORMATION SECURITY SYSTEM IN THE CORPORATE NETWORKS OF HIGHER EDUCATION INSTITUTIONS

The analysis shows that the insufficient level of information security in service networks is the main cause of huge losses for enterprises. Despite the appearance of a number of works to solve this problem, there is currently no unified system for assessing information security. This shows that this problem has not yet been sufficiently studied and relevant. This work is one of the steps towards creating a system for assessing information security in service networks. The purpose of the work is to develop an algorithm and simulation model, analyze the results of the simulation model to determine the main characteristics of the information security system (ISS), providing the ability to completely close all possible channels of threats by controlling all unauthorized access (UA) requests through the protection mechanism (PM). To solve the problem, a simulation method was applied using the principles of queuing systems (QS). This method makes it possible to obtain the main characteristics of the ISS from the UA with an unlimited amount of buffer memory (BM). Models, an algorithm and a methodology for the development of ISS from UA are proposed, which is considered as a single-phase multi-channel QS with an unlimited volume of BM. The process of obtaining simulation results was implemented in the GPSS World modeling system and comparative analyzes of the main characteristics of the ISS were carried out for various laws of distribution of output parameters. At the same time, UA requests were the simplest flows, and the service time was subject to exponential, constant and Erlang distribution laws. Conducted experiments based on the proposed models and algorithm for analyzing the characteristics of the ISS from the UA as a single-phase multi-channel QS with unlimited waiting time for requests in the queue confirmed the expected results. The results obtained can be used to build new or modify existing ISS in corporate networks for servicing objects for various purposes. This work is one of the approaches to generalizing the problems under consideration for systems with an unlimited volume of BM. Prospects for further research include research and development of the principles of hardware and software implementation of ISS in service networks.

Optical Bio-Inspired Synaptic Devices.

The traditional computer with von Neumann architecture has the characteristics of separate storage and computing units, which leads to sizeable time and energy consumption in the process of data transmission, which is also the famous "von Neumann storage wall" problem. Inspired by neural synapses, neuromorphic computing has emerged as a promising solution to address the von Neumann problem due to its excellent adaptive learning and parallel capabilities. Notably, in 2016, researchers integrated light into neuromorphic computing, which inspired the extensive exploration of optoelectronic and all-optical synaptic devices. These optical synaptic devices offer obvious advantages over traditional all-electric synaptic devices, including a wider bandwidth and lower latency. This review provides an overview of the research background on optoelectronic and all-optical devices, discusses their implementation principles in different scenarios, presents their application scenarios, and concludes with prospects for future developments.

GLOBAL EXPERIENCE OF DEVELOPING COUNTRIES IN FORMING INNOVATIVE MECHANISMS OF GREEN ECONOMIC GROWTH

The article examines the international experience of developing countries in creating and implementing innovative mechanisms to achieve green economic growth. The necessity of implementing such mechanisms to ensure sustainable economic development is substantiated. It is argued that innovative approaches are key to preserving the ecological balance and improving the well-being of the population. It was established that the effective use of natural resources requires the integration of environmental and economic strategies. Based on the set goal, various models and practices of green growth applied in developing countries are considered. Successful examples are studied and found that their adaptation can contribute to global sustainable development. Further perspectives of research should be aimed at studying the possibilities of scaling and optimization of these innovative mechanisms in the context of global challenges. It was determined that each country has its own characteristics due to the level of development of the country, its geographical location, the presence of natural resources and the specifics of the concepts, models and development tools used, which correspond to national priorities and accumulated experience, and therefore the transition to a "green" economy for different states will take place under different scenarios. It illustrates the benefits and challenges of implementing green innovation for developing countries using the example of China and its chart of China's key industrial strategies for green manufacturing. During the research of this topic, it was found that the consistent and effective implementation of the principles of "green" investment, as well as "green" development in general, is possible only in a regulatory environment, transparent and fair, developed in accordance with the principle of the rule of law, with independent courts procedures, with the participation of independent market regulators acting in accordance with national interests, respecting the rights of investors and consumers. On the other hand, for their principles of implementation a vital role is played by socially responsible business behavior, one of the key indicators of which is the attitude of business to environmental issues, the efficiency of resource use and energy efficiency, and the disclosure of socially significant non-financial information. It is noted that in Ukraine climate and investment policies function separately from each other, and sometimes their goals are mutually contradictory, which prevents or slows down investments in the development of "green" infrastructure.

Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care

Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation. One in particular, the right to notice and explanation, requires accurately informing the public about the use of AI that impacts them in ways that are easy to understand. Yet, in the healthcare setting, it is unclear what goal the right to notice and explanation serves, and the moral importance of patient-level disclosure. We propose three normative functions of this right: (1) to notify patients about their care, (2) to educate patients and promote trust, and (3) to meet standards for informed consent. Additional clarity is needed to guide practices that respect the right to notice and explanation of AI in healthcare while providing meaningful benefits to patients.