Assessment Methods Research Articles

Individual and System Level Factors Contributing to Guideline Non-Adherent Surgical Antibiotic Prophylaxis at a Tertiary Health Care System: A Qualitative Analysis

Background Antibiotics play a crucial role in preventing surgical site infections, yet adherence to Infectious Disease Society of America (IDSA) guidelines varies widely. This qualitative study aimed to explore factors influencing perioperative antibiotic administration and assess the potential impact of a clinical decision support (CDS) tool on guideline adherence. Methods In this qualitative study, perioperative personnel with diverse roles (surgeons, anesthesiologists, certified nurse anesthetists, trainees, and pharmacists) were interviewed using a semi-structured interview format from September 2023 through April 2024. Interviews were then analyzed for codes which were assigned to concepts using the constant comparison method for assessment of factors that were described as barriers or facilitators of guideline adherence. Results After piloting with three interviews, we conducted nine sessions with a total of 17 participants: 7 attending anesthesiologists, 3 resident trainees, 2 perioperative pharmacists, 3 Certified Registered Nurse Anesthetists (CRNAs), and 2 attending surgeons. Key themes emerged: (1) Limited familiarity with Infectious Disease Society of America (IDSA) antibiotic guidelines, (2) Lack of standardization and optimization of antibiotic decision-making process, (3) Challenges with managing beta-lactam allergies, (4) Difficulty optimizing vancomycin timing, and (5) Perceived benefit of a Clinical Decision Support (CDS) tool in enhancing workflow and guideline adherence. Conclusions Non-adherence to antibiotic guidelines in the perioperative setting often results from a lack of structured workflow. Our interviews provide a foundation for developing a clinical decision support tool tailored to provider needs, aiming to improve user satisfaction and promote better adherence to perioperative antibiotic guidelines.

Ecological conditions of vineyards and the polymorphism of Saccharomyces cerevisiae strains as a prerequisite of terroir identification

Aim. The aim of the study was to assess whether the ecological conditions for vineyards and the phylogenetic analysis of Saccharomyces cerevisiae wine yeast strains isolated from several locations in the Odesa and Mykolayiv regions could be used for terroir identification. Methods. The study employed microbiological, analytical, expedition, cartographic, and comparative assessment methods. Phylogenetic analysis was conducted using the MEGA software program, and VIN-CAD-UKR software was used for the vineyard cadastre and the ampelecological characteristics data management. Results. The study highlighted differences in the ecological conditions of vineyards in the Odesa and Mykolayiv regions and within the Tairovo and Izmail territorial communities in the Odesa region, focusing on soil and microclimatic characteristics. Saccharomyces cerevisiae strains isolated in 2012 and 2013, years with varying weather conditions in temperature and precipitation, were primarily clustered by the year of isolation. Two notable exceptions included a strain isolated from the Isabela variety belonging to a hybrid group (direct producer, contrary to other varieties, which mainly represent Vitis vinifera or its hybrids with Vitis riparia, Vitis amurensis, Vitis berlandieri) and a strain isolated from the Odesa Black variety inoculated at the beginning of fermentation with a commercial strain of wine yeast. The 2013 isolates, collected under conditions of higher precipitation and lower temperature in the first half of the growing season, showed a more differentiated clustering pattern, with two strains isolated from the Sukholymansky White variety forming a distinct cluster, while the rest grouped together, irrespective of the region, formed of isolation. Conclusions. Phylogenetic analysis of 64 strains of Saccharomyces cerevisiae isolated from 36 technical grape varieties based on the ITS1_5.8S_ITS2 nucleotide sequence demonstrated that the year of isolation (reflecting agroclimatic factors) was the primary influence on sample clustering. These factors, as components of the ecological conditions of terroir, form the foundation for terroir identification.

The Implementation of the Food Quality Protection Act (FQPA) in Increasing the Safety Standards for New Pesticides Used on Foods

This paper examines the Food Quality Protection Act (FQPA) and its impact on enhancing safety standards for pesticides used on food in the United States. Initially, the study explores the Delaney Clause—a strict standard prohibiting carcinogenic food additives—which FQPA replaced with a more flexible "reasonable certainty of no harm" criterion. This shift allows the Environmental Protection Agency (EPA) to assess pesticide risk with consideration of potential benefits, even if a substance is carcinogenic at high doses. The paper also critiques the EPA's implementation challenges, including reliance on quantitative risk assessment (QRA) and cumulative risk assessment, which quantify risks of multiple chemical exposures but face informational and regulatory limitations. Recommendations focus on refining judicial review and integrating cumulative risk assessment to strengthen the FQPA’s capacity to safeguard public health, especially for vulnerable populations such as children. This study underscores the importance of regulatory clarity and rigorous assessment methods in pesticide management.

Using Card Sorting Activity as a Strategy for Evaluating Students’ Learning of Computational Thinking Concepts

This study investigated the effectiveness of the ‘Match it’ card sorting activity for evaluating the prospective teachers’ knowledge and understanding of computational thinking (CT) concepts. 146 primary prospective teachers were asked to sort 26 scenarios and words alongside nine images under five main computational concepts: algorithmic thinking, abstraction, decomposition, patterns & generalisation, and evaluation. The study found that the card sorting activity, as a method for assessment was useful, however, the issues around the design and the content of the current card sorting activity were reported by students which suggests that further revisions should be made to improve the effectiveness of the tool.

A hybrid metaheuristic algorithm for antimicrobial peptide toxicity prediction.

The development of new algorithms can aid researchers and professionals in resolving problems that were once unsolvable or discovering superior solutions to problems that were already settled. By recognizing the importance of continuous research on creating novel algorithms, this paper introduced a hybrid metaheuristic algorithm-h-PSOGNDO, which is a combination of Particle Swarm Optimization (PSO) and Generalized Normal Distribution Optimization (GNDO). The proposed algorithm utilizes the Particle Swarm Optimization's strategy for exploitation and the Generalized Normal Distribution Optimization's global search strategy for exploration. Through this combination, h-PSOGNDO is believed to be an effective algorithm that can promote the advantages of its parents' algorithms. Different assessment methods are used to assess the proposed novel algorithm. First, the h-PSOGNDO is set to conduct experiments on two sets of mathematical functions, including twenty-eight IEEE CEC2017 and ten IEEE CEC2019 benchmark test functions, respectively. Then, the h-PSOGNDO algorithm is applied to a case study on the prediction of antimicrobial peptides' toxicity to evaluate its performance on real-life problems. The statistical findings collected from both the test function sets and the case study show that the h-PSOGNDO algorithm works effectively, proving its astonishing ability to yield highly competitive outcomes for complex problems.

Computational Thinking Assessment in Primary and Secondary Education: A Meta-synthesis of tools, Methods and Pedagogical Approaches

Despite the widespread adoption of computational thinking (CT) across educational levels, challenges persist in its assessment due to diverse definitions, frameworks, and its practical application in classroom settings. This meta-synthesis investigates the assessment of computational thinking (CT) in primary and secondary education, synthesizing evidence from 12 reviews across five international databases, focusing on tools, methods, and pedagogical practices employed in assessing CT, with the aim to outline practical approaches for evaluating CT components. The review delves into the primary focuses of these syntheses, the CT skills and components assessed, and the methods and tools utilized, identifying gaps in current practices. The findings highlight a prevalent focus on programming skills, with less emphasis on cognitive processes and collaborative aspects of CT. The synthesis also points to the need for developing assessment tools and methods that encompass the broader spectrum of CT skills, suggesting avenues for future research and practical application in educational settings.

Assessment of long-term exposure to traffic-related air pollution: An exposure framework.

Exposure to ambient air pollution is associated with morbidity and mortality, making it an important public health concern. Emissions from motorized traffic are a common source of air pollution but evaluating the contribution of traffic-related air pollution (TRAP) emissions to health risks is challenging because it is difficult to disentangle the contribution of individual air pollution sources to exposure contrasts in an epidemiological study. This paper describes a new framework to identify whether air pollution differences reflect contrasts in TRAP exposures. Because no commonly measured pollutant is entirely specific to on-road motor vehicles, this exposure framework combined information on pollutants, spatial scale (i.e., geographic extent), and exposure assessment methods and their spatial scale to determine whether the estimated effect of air pollution in a given study was related to differences in TRAP. The exposure framework extended beyond the near-road environment to include differences in exposure to TRAP at neighborhood resolution ( ≤ 5 km) across urban, regional, and national scales. It also embedded a stricter set of criteria to identify studies that provided the strongest evidence that exposure contrasts were related to differences in traffic emissions. Application of the framework to the transparent selection of epidemiological studies for a systematic review produced insights on assessing and improving comparability of TRAP exposure measures, particularly for indirect measures such as distances from roads. It also highlighted study design challenges related to the duration of measurements and the structure of epidemiological models. This manuscript describes a new exposure framework to identify studies of traffic-related air pollution, a case study of its application in an HEI systematic review, and its implications for exposure science and air pollution epidemiology experts. It identifies challenges and provides recommendations for the field going forward. It is important to bring this information to the attention of researchers in air pollution exposure science and epidemiology because applying the broader lessons learned will improve the conduct and reporting of studies going forward.

COMPETITIVENESS AS THE MAIN GUIDELINE FOR MARKETING MANAGEMENT IN AGRIBUSINESS

The objective of this article is to examine the principal indicators of competitiveness and environmental factors, to delineate the methodologies employed in the analysis and assessment of the competitiveness of agrarian enterprises, and to justify the marketing management decisions aimed at enhancing the level of competitiveness, thereby enabling agrarian enterprises to adapt to the contemporary conditions of agribusiness. The study's methodology was based on a synthesis of the results of applied economic research, as well as the scientific works of domestic and foreign scientists. This synthesis highlighted the fundamental theories of competitive advantage, competitiveness, and marketing management. Results. The article examines the principal indicators of competitiveness and environmental factors, considers the methods of analysis and assessment of the competitiveness of agrarian enterprises, and justifies marketing management decisions aimed at enhancing the level of competitiveness in order to facilitate the adaptation of agrarian enterprises to the contemporary conditions of agribusiness. Practical results. It has been demonstrated that it is of the utmost importance for agricultural enterprises to promptly identify and respond to changes in the competitive environment in order to optimise their strategies and minimise potential risks. Accordingly, a comprehensive understanding and analysis of these aspects is essential for an effective assessment of the marketing environment itself. Those engaged in agricultural production who possess competitive advantages are able to adapt to the complex and dynamic factors that characterise the macro-, micro-, marketing and competitive environment. This enables them to strengthen their market positions and to minimise the risks associated with numerical data. Value / Originality. In order to ascertain the competitiveness of an agricultural enterprise, it is necessary to undertake a comparative analysis of the enterprise in question with respect to a number of key indicators. These include the enterprise's conditions, resources and productivity, which should be evaluated in accordance with appropriate methods.

Establishment and Application of a New Radiation Biodosimetric Method Based on the Quantitative RPA-SHERLOCK Amplification Technology.

Biodosimetry is a key diagnostic tool for radiation exposure, risk assessment and treatment planning of acute radiation sickness. To effectively respond to a large-scale radiological incident, there is a need for the development of biodosimetric methods with fast, portable, and convenient operating advantages. We employed the recombinase polymerase amplification specific high-sensitivity enzymatic reporter unlocking (RPA-SHERLOCK) technology to establish a method for fast radiation dose assessment by measuring the expression level of radiation-inducible genes. Moreover, we proposed for the first time the principle of quantitative detection of curve slopes based on this method. Using this new method, changes in mRNA expression were confirmed in a number of radiation-sensitive genes (XPC, CDKN1A, and ATM) in human lymphocytes after irradiation. The standard curve of the dose-effect relationship was established, which can be used to quickly determine the exposed dose of the irradiated samples. Compared with traditional detection methods such as RT-qPCR, this method was found to be more convenient, fast and easy to operate. With the same amount of template input as RT-qPCR, the detection time of this method can be shortened to less than 20 min. The detection instrument required by this method is also more portable than a qPCR system.

Erythropoietin for the prevention of postoperative neurocognitive disorder in older adult patients undergoing total joint arthroplasty: a randomized controlled study.

Post-operative delirium (PD) is a common post-operative complication with significant clinical and financial impacts on patients. Erythropoietin (EPO), a multi-functional glycoprotein hormone, exhibits erythropoietic and non-erythropoietic anti-inflammatory properties. This study aimed to determine the role of perioperative EPO administration in the development of postoperative delirium in older adult patients undergoing total joint arthroplasty. Seventy-one patients (> 65 years old) scheduled for total joint arthroplasty were randomly assigned to two groups: EPO-treated (EPO, n = 35) and placebo (control, n = 36). All patients completed the Mini Mental State Examination (MMSE) pre-operatively and on post-operative day (POD) 2. The confusion assessment method (CAM) was used to assess the patients until discharge (POD 5). Serum C-reactive protein (CRP) and inflammatory cytokine levels were measured and compared pre- and post-operatively. The development of delirium and cognitive dysfunction was evaluated post-operatively. One patient in the control group developed delirium on POD 2 (3.2%), whereas no patient in the EPO group developed PD (0% vs. 3.2%, p = 0.500). Post-operatively there was no significant difference in MMSE scores between groups. Both groups showed increases in pro- and anti-inflammatory cytokine levels, with no significant differences. Similarly, CRP levels, neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR) showed no intergroup differences in post-operative inflammatory responses. Perioperative EPO reduced the incidence of post-operative delirium, although not statistically significant, with no differences in post-operative cognitive function and inflammatory responses. The trial was registered on December 12, 2023 at http//clinicaltrials.gov, registration number NCT06178835.

Advancements in technology-enhanced assessment in tertiary education

The field of assessment in tertiary education is currently experiencing a significant shift mostly due to the technological advancements. Technology is, in fact, both threatening assessment practices and empowering them when integrated in the assessment process. This special issue discusses the evolution of technology-enhanced assessment in tertiary education focusing on the use of digital resources such as gamification and artificial intelligence to improve learning and evaluation methods. Research findings showcased in this issue delve on the ability of technology-enhanced assessments to promote effective personalised learning experiences while also addressing the ethical dilemmas these innovations bring. The blend of conversations about assessment with AI driven evaluations, immersive simulations and gamified platforms explores the benefits and challenges for teachers and learners alike, not forgetting the importance of sound methodological approaches for both summative and formative assessment. This editorial summarises contributors’ perspectives on how these innovations are changing assessment methods and emphasises the importance of integrating them thoughtfully. At the same time, questions are raised about the evolving role of educators in a technology-driven educational landscape.

Comparison Between Ecological Momentary Assessment and Self-Report of Awake Bruxism Behaviours in a Group of Healthy Young Adults.

The aim of this investigation was to compare the self-reported frequency of awake bruxism (AB) behaviours by means of a validated single-observation point questionnaire (i.e., Oral Behaviour Checklist [OBC]) with the frequency reported in real-time with an Ecological Momentary Assessment (EMA) over 1 week. One hundred healthy young adults took part in the study. The frequency of some activities belonging to the spectrum of AB behaviours (i.e., teeth contact, mandible bracing, teeth clenching, teeth grinding) was evaluated using the EMA approach with smartphone technology support over 1 week. The OBC questionnaire was used to evaluate the self-reported frequency of the same AB behaviours. Spearman's rank correlation coefficient was adopted to test the correlation between the average score of each OBC question considered (i.e., teeth contact, mandible bracing, teeth clenching, teeth grinding) and the average frequency of the corresponding EMA item. Statistical analysis showed a weak-to-moderate level of correlation between the two different AB assessment methods. Mandible bracing showed the highest level of correlation, while teeth grinding had the lowest one. While the OBC represents a valid and easy-to-administer screening tool for evaluating bruxism behaviours, the EMA approach provides a more detailed real-time report on AB behaviours.

Through the Lens of Age: Using Dog Photographs to Uncover Welfare and Stress

This study evaluated the potential of using dogs’ apparent age, judged from photographs, as a non-invasive tool for assessing their welfare. Traditional welfare assessment methods often rely on behavioral and physiological indicators, which can be resource-intensive and invasive. This research explored whether apparent age, a measure used in humans to predict health and longevity, can also serve as an indicator of welfare in dogs by investigating its association with relative telomere length (RTL), a biomarker of biological aging. Photographs of 60 domestic dogs were evaluated by canine specialists and general volunteers via the citizen science platform Zooniverse. Participants estimated the age of 20 dogs from three different age categories: young (0–2 years), adult (2–5 years), and senior (6+ years). The accuracy of these predictions was compared to the dogs’ chronological ages and RTLs. Generalized linear models were used to assess factors influencing prediction accuracy, including the dogs’ age, sex, and origin. Results indicated that both specialists and volunteers reliably estimated the age of senior dogs, with no significant differences in accuracy between groups. Dogs with accurate apparent age estimates had RTLs matching their chronological age, while those with premature aging signs had shorter RTLs. This suggests apparent age could be a practical, non-invasive welfare assessment tool, offering a potentially accessible method for new welfare assessment protocols.

A close look at children’s and adolescents’ arguments: combining a developmental, educational, and philosophical perspective

AbstractIt is broadly admitted that social contexts of reasoning may prompt children and adolescents to improve the quality of their reasoning. However, it is not clear how this quality may be assessed when it comes to arguments expressed within oral interactions in diverse settings (whole-class or small-group discussions) by students of different ages and cultural backgrounds. This study aims to offer a methodological contribution to the issue of oral argument assessment of children and adolescents, by looking at a large, annotated corpus of dialogic discussions during 111 lessons taking place in five countries. Our analysis combines a structural (Toulmin Argument Pattern) and functional (Walton’s argumentation schemes) approach to argumentative reasoning. Our findings show significant variations across age groups and social settings. The discussion points out the importance of sociocultural framing of argument reasoning development and the continuation of research in argument assessment methods able to grasp important developmental and cultural variations.

Unfolding Electrolyzer Characteristics to Reveal Solar-to-Chemical Efficiency Potential: Rapid Analysis Method Bridging Electrochemistry and Photovoltaics.

Development of photovoltaic-electrochemical (PV-EC) systems for energy storage and industry decarbonization requires multidisciplinary collaborative efforts of different research groups from both photovoltaic and electrochemical research communities. Consequently, the evaluation of the solar-to-chemical or solar-to-fuel efficiency of a new electrolyzer (EC) as a part of a PV-EC system is a time-consuming task that is challenging in a routine optimization loop. To address this issue, a new rapid assessment method is proposed. This method employs power balance requirements to unfold the input EC characteristics into the parameter space of PV-EC systems. The system parameters, composed with the EC output characteristics, yield the solar-to-chemical efficiency attainable by the electrolyzer in combination with any PV device under any irradiance at any relative PV-to-EC scaling and any mode of power coupling. This comprehensive overview is achieved via a mathematically simple conversion of the EC characteristics in any spreadsheet software. The method, designed to streamline the development and minimize the efforts of both the photovoltaic and electrochemical communities, is demonstrated via the analysis of CO2-reduction electrolyzer characteristics and verified with dedicated PV-EC experiments.

Idiographic Family Assessment Method for Substance Users

ABSTRACT With the aim of identifying the family systemic factors associated with substance use, the Idiographic Family Assessment Method for Substance Users was designed. The Method was applied in an outpatient counseling center for drug users in a city in central Mexico. Fifteen families were included in the study, totaling 34 participants. From a poststructuralist stance, a bridge was created between clinical practice and science, through an idiographic inquiry. The Method can be utilized with other populations. The research methodology was predominantly qualitative, phenomenological, and interpretative, with grounded theory for content analysis of in‐depth interviews, and complementary quantitative techniques, including a self‐report instrument. Findings subsumed: Structure, Dynamic, and trigenerational Family History aspects for each case. All dimensions were interrelated, and differences in perception between the user and his family member(s) were identified in most cases. Risk and protective factors were distinguished, and some hypotheses were formulated. Protective factors were rooted in Mexican traditional family values.

Decoding Debugging Instruction: A Systematic Literature Review of Debugging Interventions

Students learning computer science frequently struggle with debugging errors in their code. These struggles can have significant downstream effects—negatively influencing how students assess their programming ability and contributing to their decision to drop out of CS courses. However, debugging instruction is often an overlooked topic, and instructors report feeling unaware of effective approaches to teach debugging. Within the literature, research on the topic is sporadic, and though there are rigorous and insightful studies to be found, there is a need to synthesize instructional approaches for debugging. In this article, we review research from 2010 to 2022 on debugging interventions. We summarize the common pedagogical approaches for learning and categorize how these target specific cognitive and non-cognitive debugging skills, such as self-efficacy and emotion regulation. We also present a summary of assessment methods and their outcomes in order to discuss intervention efficacy and directions for further research. Our sample displays a diverse variety of debugging interventions and pedagogical approaches, ranging from games to unplugged activities. An evaluation of article results also presents encouraging findings, revealing several interventions that improved debugging accuracy and learning. Still, we notice gaps in interventions addressing non-cognitive debugging skills and observe limited success in guiding students toward adopting systematic debugging strategies. The review concludes with a discussion of future directions and implications for researchers and instructors in the field.

Comparative assessment of breast volume using a smartphone device versus MRI.

Assessment of breast volume has a relevance for aesthetic surgery and for the prevention and prediction of breast diseases. This study investigated breast volume measurements using a three-dimensional (3D) body surface scanner integrated in a smartphone device in comparison with magnetic resonance imaging (MRI) scans. Breast volume was assessed for 22 women who underwent routine MRI imaging. 3D surface images were acquired using a smartphone's digital texture camera (iPhone 11 Pro Max, Apple, California, USA, 2019). Breast volumes were manually outlined and calculated by two independent investigators using a 3D software tool (Meshmixer 3.5, Autodesk, Inc., 2018). Volume assessments from MRI images were performed by a radiologist using Syngo.via (Siemens Healthcare, Erlangen, Germany, VB50). The agreement between both methods and the inter-observer agreement was calculated with the concordance correlation coefficients and analysed with Bland-Altman plots. The mean breast volume as determined by MRI volumetry was 771.0ml on the left side and 763.9ml on the right side. Utilizing the 3D body surface volume assessment method, the mean breast volume was measured as 660.3ml (observer A) and 616.8ml (observer B) on the left side, and 701.9ml (observer A) and 638.6ml (observer B) on the right side. Although a high correlation was observed, differences in volume measurements appeared more pronounced in cases of larger breast volume. Smartphone-based 3D assessment of breast volume sufficiently agreed with MRI-based breast volume. This new technique could be used for cosmetic breast assessments in a surgical context and possibly in breast cancer risk studies assessing breast volume as outcome parameters.

Exploring the dynamics of ultrasound training in medical education: current trends, debates, and approaches to didactics and hands-on learning.

Medical education, especially in ultrasound training, is undergoing significant changes. This study examines practical issues in ultrasound medical education, emphasizing state-of-the-art teaching methods, their effectiveness, and implementation challenges. The study analyzed advancements in ultrasound education, including randomized controlled trials comparing peer-to-peer teaching with traditional faculty-led instruction. It evaluated the effectiveness of collaborative small-group training and group size impact in simulation-based training. The study also assessed practical training components outlined in the WFUMB Position Paper Part II. Findings indicate that peer-to-peer and collaborative small-group training are effective and cost-efficient. Group size did not significantly affect training outcomes. Key practical training elements, including early hands-on sessions and exposure to various equipment, substantially improved learning outcomes. Simulation tools like virtual reality (VR), augmented reality (AR), and phantoms were crucial for teaching standardized procedures and rare pathologies. Challenges identified include developing robust image acquisition skills, scarcity of qualified student tutors, and the need for reliable ultrasound skill assessment methods. Integrating peer-to-peer teaching and advanced simulation technologies significantly advances ultrasound medical education. These methods enhance cognitive and psychomotor skills but also present challenges such as ensuring quality education and developing effective assessment methods. Future research should compare different simulation tools and establish objective ultrasound proficiency assessment criteria. Continual method evaluation and improvement are essential for effective and standardized ultrasound training, ultimately enhancing patient care and clinical outcomes.

Environmental Impact of Poultry Manure Gasification Technology for Energy and Ash Valorization

Thermochemical technologies offer potential solutions for energy recovery and mitigating the environmental impacts of biomass waste. Poultry manure (PM), a nutrient-rich biomass but also a potentially problematic biomass waste, presents an opportunity for recovery and recycling. This study compares the environmental performance of a real-scale novel gasification technology called Chimera (designed and developed through an EU LIFE program) in locally treating PM with anaerobic digestion (AD) and incineration. Using life cycle assessment (LCA), the potential environmental impacts of the technologies were assessed using the Environmental Footprint (EF) 3.0 midpoint life cycle impact assessment method. We performed an attributional LCA with substitution. The selected functional unit (FU) is the treatment of one tonne (1000 kg) PM at 40% dry matter in the Netherlands in 2021 for 20 years. The LCA results of the three technologies compared showed that no single technology outperformed the other across all the impact categories. Climate change scores for the various technologies were −383 (incineration), −206 (Chimera), and −161 (anaerobic digestion) kg CO2 eq./FU. The results were influenced mainly by the potential utilization of the substituted heat and electricity. This study expands the existing literature on environmental sustainability assessments of PM treatment technologies. It underscores the prospects for these technologies to promote circularity while also indicating the bottlenecks for the potential environmental impacts and highlighting the most sensitive aspects that can influence the environmental performance of these technologies.