Holistic Assessment Research Articles

A Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analysis of ChatGPT Integration in Nursing Education: A Narrative Review.

Amidst evolving healthcare demands, nursing education plays a pivotal role in preparing future nurses for complex challenges. Traditional approaches, however, must be revised to meet modern healthcare needs. The ChatGPT, an AI-based chatbot, has garnered significant attention due to its ability to personalize learning experiences, enhance virtual clinical simulations, and foster collaborative learning in nursing education. This review aims to thoroughly assess the potential impact of integrating ChatGPT into nursing education. The hypothesis is that valuable insights can be provided for stakeholders through a comprehensive SWOT analysis examining the strengths, weaknesses, opportunities, and threats associated with ChatGPT. This will enable informed decisions about its integration, prioritizing improved learning outcomes. A thorough narrative literature review was undertaken to provide a solid foundation for the SWOT analysis. The materials included scholarly articles and reports, which ensure the study's credibility and allow for a holistic and unbiased assessment. The analysis identified accessibility, consistency, adaptability, cost-effectiveness, and staying up-to-date as crucial factors influencing the strengths, weaknesses, opportunities, and threats associated with ChatGPT integration in nursing education. These themes provided a framework to understand the potential risks and benefits of integrating ChatGPT into nursing education. This review highlights the importance of responsible and effective use of ChatGPT in nursing education and the need for collaboration among educators, policymakers, and AI developers. Addressing the identified challenges and leveraging the strengths of ChatGPT can lead to improved learning outcomes and enriched educational experiences for students. The findings emphasize the importance of responsibly integrating ChatGPT in nursing education, balancing technological advancement with careful consideration of associated risks, to achieve optimal outcomes.

Vaccine value profile for Chikungunya

Chikungunya virus (CHIKV) a mosquito-borne alphavirus is the causative agent of Chikungunya (CHIK), a disease with low mortality but high acute and chronic morbidity resulting in a high overall burden of disease. After the acute disease phase, chronic disease including persistent arthralgia is very common, and can cause fatigue and pain that is severe enough to limit normal activities. On average, around 40% of people infected with CHIKV will develop chronic arthritis, which may last for months or years. Recommendations for protection from CHIKV focus on infection control through preventing mosquito proliferation. There is currently no licensed antiviral drug or vaccine against CHIKV. Therefore, one of the most important public health impacts of vaccination would be to decrease burden of disease and economic losses in areas impacted by the virus, and prevent or reduce chronic morbidity associated with CHIK. This benefit would particularly be seen in Low and Middle Income Countries (LMIC) and socio-economically deprived areas, as they are more likely to have more infections and more severe outcomes.This ‘Vaccine Value Profile’ (VVP) for CHIK is intended to provide a high-level, holistic assessment of the information and data that are currently available to inform the potential public health, economic and societal value of vaccines in the development pipeline and vaccine-like products.This VVP was developed by a working group of subject matter experts from academia, non-profit organizations, public private partnerships, and multi-lateral organizations. All contributors have extensive expertise on various elements of the CHIK VVP and collectively aimed to identify current research and knowledge gaps.The VVP was developed using only existing and publicly available information.

Contamination and ecological risk assessment of Cr, As, Cd and Pb in water and sediment of the southeastern Bay of Bengal coast in a developing country

Safe levels of heavy metals in the surface water and sediment of the eastern Bay of Bengal coast have not been universally established. Current study characterized heavy metals such as arsenic (As), chromium (Cr), cadmium (Cd) and lead (Pb) in surface water and sediments of the most important fishing resource at the eastern Bay of Bengal coast, Bangladesh. Both water and sediment samples were analyzed using inductively coupled plasma mass spectrometer. Considering both of the seasons, the mean concentrations of Cr, As, Cd, and Pb in water samples were 33.25, 8.14, 0.48, and 21.14 μg/L, respectively and in sediment were 30.47, 4.48, 0.20, and 19.98 mg/kg, respectively. Heavy metals concentration in water samples surpassed the acceptable limits of usable water quality, indicating that water from this water resource is not safe for drinking, cooking, bathing, and any other uses. Enrichment factors also directed minor enrichment of heavy metals in sediment of the coast. Other indexes for ecological risk assessment such as pollution load index (PLI), contamination factor (CF), geoaccumulation index (Igeo), modified contamination degree (mCd), and potential ecological risk index (PERI) also indicated that sediment of the coastal watershed was low contamination. In-depth inventorying of heavy metals in both water and sediment of the study area are required to determine ecosystem health for holistic risk assessment and management.

Towards Sustainable Roads: A Systematic Review of Triple-Bottom-Line-Based Assessment Methods

This review summarizes the methods and approaches for quantifying the sustainability performance of roads based on the Triple Bottom Line (TBL) concept. Furthermore, research gaps and challenges in the sustainability assessment of roads are identified. While prior studies explored the environmental and economic dimensions, no comprehensive overview of holistic sustainability assessment of roads exists. A systematic literature review (SLR) was conducted to identify relevant studies. Two assessment approaches were identified: (1) life-cycle-based approaches and (2) sustainability rating systems (SRS). Most of the reviewed studies applied life-cycle-based methods, such as Life Cycle Sustainability Assessment or a combination of Life Cycle Assessment, Life Cycle Costing, and selected social indicators. Heterogeneity in functional units was observed, with most studies opting for a dimension-based instead of a function-based reference. There was high variability regarding the life cycle stages, indicators, and impact assessment methods. Concerning the interpretation methods, most studies calculated a sustainability index or applied Multi-Criteria Decision-Making methods. The SRS presented a similar structure with different levels of aggregation. Furthermore, aspects such as planning, leadership, innovation, and construction activities were addressed. The results of this SLR contribute to expanding the knowledge regarding road sustainability and provide insight into common frameworks, guidelines, and best practices for the sustainability assessment of roads and pavements.

CIFF-Net: Contextual image feature fusion for Melanoma diagnosis

Melanoma is considered to be the deadliest variant of skin cancer causing around 75% of total skin cancer deaths. To diagnose Melanoma, clinicians assess and compare multiple skin lesions of the same patient concurrently to gather contextual information regarding the patterns, and abnormality of the skin. So far this concurrent multi-image comparative method has not been explored by existing deep learning-based schemes. In response to this gap, a contextual image feature fusion (CIFF) based deep neural network (CIFF-Net) is proposed, which integrates patient-level contextual information into the traditional approaches for improved Melanoma diagnosis by concurrent multi-image comparative method. The proposed multi-kernel self attention (MKSA) module offers better generalization of the extracted features by introducing multi-kernel operations in the self attention mechanisms. To utilize both self attention and contextual feature-wise attention, an attention guided module named contextual feature fusion (CFF) is proposed that integrates extracted features from different contextual images into a single feature vector. Finally, in comparative contextual feature fusion (CCFF) module, primary and all contextual features are compared concurrently to generate comparative features mirroring the holistic assessment performed by clinicians. Significant improvement in performance has been achieved on the ISIC-2020 dataset over the traditional approaches with scores of 95.7% AUC and 98.3% Accuracy that validate the effectiveness of the proposed contextual learning scheme.

Examining non-performing loans on corporate financial sustainability: Evidence from Indonesia

This study examines the relationships between economic conditions, lending interest risk (LIR), business risk (BUSR), non-performing loans (NPLs), and corporate financial sustainability (CFS). Quantitative analysis through a questionnaire reveals positive links between economic conditions and NPLs and LIR, emphasizing the economic environment's impact on financial institutions and lending sectors. Economic conditions also relate to BUSR, influencing business risk landscapes. LIR mediates the economic conditions-NPLs link, while BUSR does not mediate other relationships. These findings underscore the importance of proactive risk management, holistic risk assessment, and NPL mitigation strategies in ensuring financial stability and sustainability amid changing economic dynamics.

Access in all areas? A round up of developments in market access and health technology assessment: part 2.

In this latest update, we explore the Inflation Reduction Act (IRA) enacted by the US Congress in August 2022, with the Centers for Medicare and Medicaid Services (CMS)recently releasing the list of the first ten drugs it will negotiate prices on. We also cover the consequences of price controls and rigid value assessment in Germany which have led to the withdrawal of a number of medicines. It will be important to see how the IRA balances cost-saving with holistic value assessment, incentives for innovation and patient access to treatment.

Medical device-related pressure injury from compression therapy

The use of compression therapy is known to be effective in the management of patients with venous leg ulceration and is commonly recommended as a first-line treatment. A rare but known complication of compression therapy is pressure damage to the limb, also referred to as bandage damage, which should be categorised as a medical device-related pressure injury. Patients should receive a comprehensive, holistic assessment before any compression therapy is applied. Risk factors for compression therapy injury include peripheral arterial disease, older age, fragile skin, pronounced bony prominences or tendons, calf atrophy, foot drop, neuropathy/absent sensation, limited movement, cognitive impairment and receiving end of life care. Risks can be mitigated through a variety of approaches, and practitioners should be aware that these can change depending on the patient's condition. A community improvement initiative, illustrated with a case study, introduced a clinical pathway that can facilitate the identification and management of patients who are at risk of developing pressure injuries as a result of compression therapy.

To renovate or to reconstruct – A comparative life-cycle assessment study over an existing building in Fribourg, Switzerland

This study presents a simple and agile yet holistic comparative assessment of the impact, in terms of non-renewable cumulative energy demand (nrCED) and global warming potential (GWP), of two envisioned scenarios for the future of an existing administrative building located in Fribourg, Switzerland: its demolition and reconstruction versus its in-depth renovation. Based on our set of hypotheses, results show that over all life-cycle phases (construction and operation) and the building’s lifetime, the renovation scenario’s GWP is 540 kgCO2-eq/m2 lower than that of the reconstruction scenario, corresponding to a 50% savings. In terms of nrCED, the difference is of about 2 MWh/m2, a 45% savings in the renovation scenario. Both scenarios are found to comply with the SIA 2040 target values. These results, including findings on the most impactful elements, provide useful quantitative information for the decision-making and design team in their next steps toward defining the project.

Influence of ferric oxides with varying crystallinity on the enrichment of halophilic exoelectrogens: An application for power generation in microbial fuel cells

Pre-enriching electroactive microbes (EAM) capable of respiration using solid terminal electron acceptors (TEA) is a prospective strategy that promotes faster start-up of bioanodes in microbial fuel cells (MFC) for energy-efficient treatment of saline wastewater. Previous studies demonstrated a reduction in the start-up times of bioanodes with ferric oxides as TEA, though the enriched EAM generated a wide range of current densities as opposed to those using graphene oxide (GO) as TEA. Additionally, the influence of ferric oxides with varying crystallinity on the anode-respiring activity of halophilic EAM is understudied. This study elaborates a systematic investigation into the influence of inoculum sources, different crystallinity of ferric oxides and their redox potentials on the selective enrichment of GO-respiring EAM for developing bioanodes with high current-generating capacity at shorter start-up times. A holistic assessment of the bioanodes, including analysis of their electrochemical performance and generated power densities, revealed that enrichment of GO-respiring EAM with amorphous ferrihydrite as TEA fostered the growth of high-performing biofilms at shorter start-up times (48–72 h) compared to crystalline goethite used as TEA (∼96 h). These biofilms produced power densities ranging from 142 ± 10 mW/m2 to 276 ± 76 mW/m2 with corresponding Coulombic efficiencies of 16 ± 6 % to 30 ± 6 %. Finally, the implications of promising halophilic EAM consortia were explored for saline MFC as a prospective energy-neutral wastewater treatment technology.

Oscillometry in Lung Function Assessment: A Comprehensive Review of Current Insights and Challenges.

Oscillometry, a non-invasive technique for assessing lung function, has gained significant recognition and importance in modern pulmonary medicine. This comprehensive review thoroughly explores its principles, applications, advantages, limitations, recent innovations, and future directions. Oscillometry's primary strength lies in its ability to offer a holistic assessment of lung mechanics. Unlike traditional spirometry, oscillometry captures the natural airflow during quiet breathing, making it suitable for patients of all ages and those with severe respiratory conditions. It provides a comprehensive evaluation of airway resistance, reactance, and compliance, offering insights into lung function that were previously challenging to obtain. In clinical practice, oscillometry finds extensive application in diagnosing and managing respiratory diseases. It plays a pivotal role in asthma, chronic obstructive pulmonary disease (COPD), and interstitial lung diseases. By detecting subtle changes in lung function before symptoms manifest, oscillometry facilitates early interventions, improving disease management and patient outcomes. Oscillometry's non-invasive and patient-friendly nature is precious in pediatric care, where traditional spirometry may be challenging for young patients. It aids in diagnosing and monitoring pediatric respiratory disorders, ensuring that children receive the care they need from an early age. Despite its many advantages, oscillometry faces challenges, such as the need for standardized protocols and the complexity of data interpretation. However, ongoing efforts to establish global standards and provide education and training for healthcare professionals aim to address these issues. Looking ahead, oscillometry holds great promise in the field of personalized medicine. With its ability to tailor treatment plans based on individualized lung function data, healthcare providers can optimize therapy selection and dosing, ultimately improving patient care and quality of life. In conclusion, oscillometry is poised to play an increasingly pivotal role in modern pulmonary medicine. As standardization efforts continue and technology evolves, it is an indispensable tool in the clinician's arsenal for diagnosing, managing, and personalizing respiratory care, ultimately leading to improved patient outcomes and better respiratory health.

Experiences of Indonesian nurses in improving preterm oral feeding readiness in special care units: A qualitative descriptive study.

Many preterm infants face feeding difficulties during the transition from enteral to oral feeding due to organ immaturity, resulting in aspiration, airway instability, and oral feeding intolerance. These challenges can increase morbidity and mortality among preterm infants. Nurses play a vital role in providing interventions to minimize negative impacts and enhance the safety of preterm oral feeding. This study aimed to explore the experiences of Indonesian nurses in improving preterm oral feeding readiness. A qualitative descriptive study was conducted involving ten nurses working in intensive care units as participants through purposive sampling. Data were collected through semi-structured, in-depth interviews conducted from January to March 2023. Thematic analysis was applied for data analysis. Four key themes developed in this study: 1) comprehensive and holistic nursing assessment, 2) challenging and complex nursing issues, 3) the need for nutritional management skills, and 4) the necessity of collaborative support. Nurses play a pivotal role in enhancing oral feeding readiness among premature infants. Their responsibilities include assessing oral feeding readiness, addressing nursing challenges, and implementing multidisciplinary stimulation involving parents. This study provides a foundational framework for developing interventions to improve preterm oral feeding readiness.

Transanal irrigation to treat chronic constipation in patients with spinal cord injury: a case study.

This case study explores the benefits of transanal irrigation as a treatment for a patient with a spinal cord injury who was experiencing chronic constipation. In this case, the patient was having episodes of autonomic dysreflexia as a result of the constipation. This condition is unique to patients with spinal cord injury and presents a stroke risk. The article outlines the contraindications and cautions that need to be considered in assessing a patient's suitability for transanal irrigation, and the elements that form part of a holistic assessment by a specialist nurse.

Holistic approaches for risk-benefit assessment

Abstract Moving towards holistic approaches that assess trade-offs among health, sustainability, and economics is imperative to minimize emergent risks and drivers of environmental degradation associated with food systems. Health risk-benefit assessments provide informative outputs to support decision-making within the public health domain. However, integrating indicators from different dimensions requires tailoring current risk-benefit methods. In this context, multicriteria decision analysis methodologies can be relevant to account for different factors and weighing trade-offs of real-life scenarios of changes in food systems. In addition, further research building on initiatives attempting to integrate frameworks within health (e.g., risk analysis) and environment (e.g., Life-Cycle Assessment and linear programming) or health and economics (e.g., cost-benefit and cost of illness), is needed to establish a holistic risk-benefit assessment framework. This presentation will introduce current efforts in the development of holistic assessment methods that evaluate impacts beyond the health risk and benefits perspective. In addition, the presentation will highlight the potential gains of such methods in policymaking.

COMPARATIVE ANALYSIS OF REGRESSION ALGORITHMS FOR PREDICTING STUDENTS' OVERALL RATINGS

In the rapidly evolving landscape of education, the integration of Artificial Intelligence (AI) has revolutionized the way we assess students. This research study focuses on the development and evaluation of a modern Machine Learning (ML) model designed to allocate comprehensive ratings to a diverse group of 10 students. The model's objective is to assess students not merely on their academic achievements but also on a holistic scale, taking into account a wide array of parameters, as detailed below. Various factors were systematically analyzed and integrated, including academic performance, extracurricular activities, study routines, and personal attributes, among others. This comprehensive approach seeks to provide a more nuanced and equitable representation of a student's overall capabilities and potential. To determine the most effective ML regression algorithm for predicting these holistic ratings, a rigorous comparative analysis was conducted, evaluating the performance of multiple algorithms. The study considered factors such as prediction accuracy, model interpretability, and computational efficiency. The findings of this research shed light on which ML regression algorithm best predicts the overall ratings for the students in question, offering insights into the potential for AI-driven holistic assessment in educational settings. By embracing AI technologies, educators and institutions can enhance their understanding of students, ultimately contributing to more tailored and equitable educational experiences. This research carries implications not only for educational practitioners but also for policymakers and technologists seeking to leverage AI for educational improvement. The detailed methodology, results, and practical implications of this study are discussed in the full research paper. It contributes to the ongoing dialogue on the integration of AI in education and its potential to create more inclusive and effective learning environments.

Monetized (socio-)environmental handprint and footprint of an offshore windfarm in the Belgian Continental Shelf: An assessment of local, regional and global impacts

Renewable offshore wind electricity is as one of the major renewable energy sources on our path towards carbon neutrality. As for all energy technologies, offshore wind farms (OWFs) will have both local and global negative and positive impacts. Understanding and quantifying these burdens and benefits requires a holistic sustainability assessment. This study tests and applies a novel (socio-) environmental impact assessment framework to quantify the monetized (socio-) environmental footprint and handprint of an offshore wind farm located in the Belgian Continental Shelf. This framework consists of a combination of two ways of integrating Life Cycle Assessment (LCA) and Ecosystem Services Assessment (ESA) to quantify both the site-specific and site-generic impacts on ecosystem services (ESs) over the lifetime of a human intervention. For the operation and maintenance stage of the OWF, impacts on three local ESs were quantified, i.e. offshore wind energy provisioning, nursery and habitat maintenance and aesthetic value, while for the other life cycle stages site-generic impacts on multiple ESs were calculated. A comprehensive list of data was inventoried to conduct both the LCA and ESA studies. The monetized impact results were then aggregated and monetized at the level of three areas of protection, i.e. human health and well-being, natural resources and ecosystem quality. The results show that the OWF has a net handprint of +€85,196, mainly due to electricity production, while the absolute footprint (−€4039) consists largely of impacts associated to the supply chain of materials to manufacture the offshore windfarm. Furthermore, this study compares the (socio-) environmental performance of an OWF with nuclear energy, which is used as benchmark because of its high importance for electricity supply in Belgium. This study is a first step towards a valuable contribution to understanding the multi-scale burdens and benefits of offshore wind energy, which can support decision- and policy-making.

Systematic Literature Review on The Use of Narrative Analysis in Language Education Research

Sociologists and communication theorists have defined narrative analysis as a way to form a social identity as early as the 1980s Barkhuizen, Benson, and Chik (2013). Besides, narrative analysis shares the concept of knowledge transmission, which is a theory that aims to communicate unquantifiable qualities of knowledge like experience and life stories. Nevertheless, it has not been specified how far the narrative analysis has gotten in language education studies due to varied understandings of the term. As a result, it is critical for researchers to conduct a more thorough literature assessment of narrative analysis in this discipline. This study examines the body of literature on narrative analysis in current language education studies. The method employed in this study is a systematic literature review, which includes pre-set criteria in selecting academic publications to be surveyed over a five-year period (1 January 2018 to 31 December 2022) and a qualitative synthesis of the findings. Based on a revised Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow, this study arrives at a holistic and systematic assessment of this approach over the last five years to guide future research in language education studies through description and analysis of the titles, abstracts, keywords, and full papers (when necessary) of the selected 10 academic articles out of 234. The main findings are as follows. 1?Narrative analysis is now used to investigate student identity creation and teacher professional development. 2?The majority of the current study's participants are non-English speaking teachers. 3) Typically, the sample size is no more than seven. 4) Text analysis and interviews are the two main research techniques. 5) Speaking and writing are the main topics of the current studies. 6)Due to its ability to elicit unique viewpoints, narrative analysis is used in language education research, but the amount is not high.

Implementing well-being in the management of psoriasis: An expert recommendation.

Psoriasis causes detriment in a person's physical, mental and social health which impairs their quality of life (QoL). However, the current psoriasis management may not adequately address all relevant health domains. Since the goal of healthcare is to restore or maintain health, health outcomes should include all areas of the patient's overall health. Life satisfaction, QoL and patient well-being are essential to a comprehensive approach to the disease. With the inclusion of more people-centred policies, care of patients with psoriasis should evolve towards a holistic and integrated assessment of the disease impact, including subjective measures of well-being in order to encompass all aspects of health. The main objective of this expert review is to give the concept of well-being a place as an entity within the holistic therapeutic approach for patients with psoriasis. Identifying and defining common goals beyond the skin with the patient and testing them throughout the course of treatment will benefit and enhance treatment success. We propose a series of recommendations for application in clinical practice, providing tangible clinical guidance for implementing well-being in the management of psoriasis. Among the recommendations are the need to initially listen to the patient, to know their level of empowerment or what they want to achieve, their preferences in decision making, the evaluation of not only the physical but also the emotional impact of the disease (well-being), the definition of the aspects that can generate a cumulative deterioration of the disease throughout life, and a continuous assessment of the patient's preferences with the opinion of the expert clinician and the integration of the knowledge of external clinical evidence.

Perceptions of Undergraduate Medical Students Toward Integrated Management of Childhood Illness (IMCI) Pre-service Education at Sultan Qaboos University, Muscat.

Background Inconsistent evidence concerning the clinical practice implications of the Integrated Management of Childhood Illness (IMCI) pre-service education exists in the literature. The aim of this study is to assess the IMCI pre-service training perceptions of medical students, including their willingness to prospectively utilize the IMCI guidelines in clinical settings. Methods This is an observational cross-sectional study that was conducted between June 1 and August 31, 2022, at the College of Medicine and Health Sciences, Sultan Qaboos University (SQU), Muscat, Sultanate of Oman. The demographic data and IMCI pre-service education perceptions were recorded via the 10 close-ended questions. The questions focused on the student's perception of the usefulness of IMCI pre-service training in improving their knowledge, attitude, and practice (KAP) regarding childhood illnesses and how well it has enhanced their skills in dealing with sick children. SPSS Statistics version 26.0 (IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp.) was used to analyze the data. Results A total of 196 responses were collected, with 117 of them being from female participants and the remaining 79 from male participants. Participants were subcategorized into phase 2 (n=103), phase 3A (pre-clerkship, n=45), and phase 3B (junior clerkship, n=48). At least 67.8% of 171 medical students complying with one to two training sessions intended to apply their IMCI pre-service education knowledge and skills in clinical practice and parental counseling. The medical knowledge and clinical practice skill enhancement abilities of the IMCI sessions were recognized by ≥49.7% of medical students. The student responses regarding childhood illness management (p=0.03) and holistic assessment confidence (p=0.042) varied significantly between the study phases. The IMCI pre-service skills, knowledge, and confidence levels were observed in 47.1% (phase 2), 13.2% (phase 3A), and 35.5% (phase 3B) of medical students. Similarly, 40.2% (phase 2), 23.7% (phase 3A), and 54.8% (phase 3B) of subjects believed in the IMCI pre-service training's influence on their ability to perform holistic assessments in the pediatric population. Conclusion The overall results of this study advocate the clinical practice implications, based on the positive student perceptions, of the IMCI pre-service training in SQU. Future qualitative studies should evaluate these findings with wider student populations.

Sustainable synthesis and manufacturing of silver powder-based metal clay for zero-waste technology applications

In this work, information on the metal clay technique is presented. Silver clays with different metal powder content were produced, and their selected properties were examined. The research part was divided into two parts. In the first part, silver powder was produced by solid state hydrogen reduction. The average particle size of the resulting silver powder falls within the range of 0.5 to 4.5 μm. Next, seven silver clays with different powder to binder ratios were made. Then, samples for testing were prepared from the commercially available silver clay. In the second part, tests of the samples were carried out. The susceptibility of clays to shaping, density, hardness and roughness were examined. A sample with 1% methylcellulose showed a roughness of less than 1 μm. The shrinkage value ranged from more than 30% to less than 5% for the highest and lowest methylcellulose clays, respectively. Tensile strength ranged from 90 to 100 MPa for samples with lower methylcellulose content in the clay and from 30 to 80 MPa for samples with higher methylcellulose content. The highest electrical conductivity was achieved for samples with the lowest content of methylcellulose, reaching almost 80% of the conductivity of bulk silver. The microstructure of the powders and the produced samples were tested. Recycling reactions of reactants have been postulated, to obtain sustainable production by-design. A holistic sustainability assessment is quantified using circular and green metrics as well as life cycle assessment. A material circularity indicator (MCI) of 0.50 and an E-factor of 0.29 were determined, generating environmentally relatively harmless water (84%) and green gases such as O2 and H2 (7%) as waste/by-products. The cost of producing 1 kg of silver powder utilizing the closed-loop technology presented in this paper amounts to €1103.45.