Pairwise Comparison Method Research Articles

Benefit of Avasopasem Manganese on Severe Oral Mucositis in Head and Neck Cancer in the ROMAN Trial: Unplanned Secondary Analysis

IntroductionOral mucositis is a debilitating side effect of cisplatin and intensity-modulated radiation therapy (IMRT) in patients with head and neck cancer. The phase 3 ROMAN trial showed avasopasem manganese (AVA) significantly decreased individual endpoints of incidence and duration of severe oral mucositis (SOM, World Health Organization [WHO] grade 3-4), with nominal decrease in severity (WHO grade 4) and significant increase in the delay in onset of SOM. We sought to determine the Net Treatment Benefit (NTB) of AVA versus placebo (PBO) using the generalized pairwise comparisons (GPC) method. MethodsGPC is a statistical method that permits simultaneous analysis of several prioritized outcomes, comparing all possible pairs of a patient in the active (i.e., AVA) group and a patient from the control (i.e., PBO) group. NTB is the net benefit across all the outcomes for AVA compared to PBO. Key clinically relevant outcomes from ROMAN were prioritized: 1) WHO grade 4 OM incidence, 2) SOM incidence, 3) days of SOM, 4) days to SOM onset, with 7 days difference defined as the clinical relevance threshold for SOM days and SOM onset. ResultsGPC analysis of 407 patients (AVA = 241, Placebo = 166) stratified by cisplatin schedule and treatment setting resulted in 13,969 pairwise comparisons. AVA showed statistically significant net benefit on all four key outcomes with a 53.9% probability that AVA would benefit patients versus a 35.0% probability that PBO would; the difference between these probabilities was a NTB of 18.9% (p=0.0012), translating to an AVA number needed to treat of 5.3 patients. All outcomes contributed to NTB, reflecting improvements in SOM incidence, onset and duration, and in Grade 4 OM incidence seen in the original ROMAN analysis. ConclusionsThis GPC analysis shows compelling evidence from the ROMAN trial of AVA's clinical benefit across key parameters of SOM burden.

Development of an analytical model for assessing the risks of financial and economic activities of State (municipal) institutions based on the pairwise comparison method

Subject. The article considers developing an analytical model to assess the risks of financial and economic activities of State (municipal) institutions. Objectives. The aim is to devise a comprehensive analytical model for assessing the risks of financial and economic activities of State (municipal) institutions, taking into account their specific activities, and assess these risks. Methods. The study employs general and specific scientific methods of cognition (analysis and synthesis, induction and deduction, grouping, comparison, expert assessment, mathematical methods, like the method of analyzing hierarchies, etc.). Results. I designed an analytical (mathematical) model of integral indicator for risk assessment in State (municipal) institutions’ financial and economic activities, offered a scale used to assess such risks. The proposed mathematical model was tested in several State institutions, with the presentation of results. Conclusions. The development of software using intelligent technologies based on the analytical model of integral indicator will enable to more quickly and effectively assess the risks of financial and economic activities of a State (municipal) institution, and track the dynamics of risk changes.

GIS and remote sensing-based wildlife habitat suitability analysis for mountain nyala (Tragelaphus buxtoni) species mapping at Bale Mountains National Park, Ethiopia

Ethiopia's Bale Mountains National Park protects the continent's largest remaining alpine environments. This park was first suggested in 1973 to safeguard its great biodiversity, including the endangered Mountain Nyala (Tragelaphus buxtoni) and Red Foxes. Despite these conservation measures, the lack of infrastructure and the enormous area projected have resulted in significant wildlife habitat fragmentation. The purpose of this study is to analyse the habitat appropriateness of the Mountain Nyala in Bale Mountains National Park using GIS and remote sensing technologies in order to inform conservation efforts and assist park managers in making decisions. To identify potential habitats for the Mountain Nyala, the study employed GIS spatial analyst techniques such as the Digital Elevation Model (DEM) and Landsat 9 (OLI/TIRS) data, as well as key environmental factors such as vegetation types, soil types, topographic factors (elevation and slope), climate factors (temperature), and proximity factors (distance to settlements, roads, and rivers). The Weights of these factors was calculated using IDRISI32 Multi-Criteria Evaluation (MCE) with the pair-wise comparison method. These weighted factor maps were then integrated through weighted overlay analysis to model wildlife habitat suitability. The analysis revealed five classes of habitat suitability; of the total land area studied, 1326.7 km2 (60%) was deemed suitable for the Mountain Nyala while 881.3 km2 (40%) was unsuitable. Specifically, 327.4 km2 (15%) was classified as highly suitable, 240.7 km2 (11%) as moderately suitable, 758.6 km2 (34%) as marginally suitable, 352.4 km2 (16%) as currently not suitable, and 528.9 km2 (24%) as permanently not suitable. The majority of suitable habitats are concentrated in the northern part of the park, along the western border, and in the Harrena forest area. This study provides vital insights into habitat suitability that are crucial for the conservation of the Mountain Nyala and the overall management of the park.

ADMINISTRATIVE AND LEGAL GUIDELINES FOR STANDARDIZATION OF FINANCIAL REPORTING OF ENTERPRISES AS SOCIO-ECONOMIC SYSTEMS

This article aims to present an approach for determining the most effective administrative and legal guidelines for the standardization of financial reporting in modern open socio-economic systems. It emphasizes the current state of financial reporting of these open socio-economic systems at the time of analysis and the application of the proposed approach. As the most common form of open socio-economic systems today, enterprises are taken as the basis. The method of multi-criteria decision analysis (MCDA), which encompasses various approaches to decision-making based on multiple criteria, including hierarchical analysis, was applied. In addition to its comprehensiveness, the method of pairwise comparison, which involves the use of two elements for comparison, was also applied. Experts were involved in the assessment and determination of the administrative and legal guidelines. As a result, an approach to forming key administrative and legal guidelines for the standardization of financial reporting was developed, which, unlike other similar approaches, aims to take into account external environmental factors and the changes they bring in order to try to adjust financial reporting standardization policies in complex development conditions. The practical value is revealed in the possibility of application by state bodies and structures involved in the development and establishment of financial reporting standards in Ukraine.

An ordinal-cardinal consensus adjustment allocation mechanism for large-scale group decision making based on the consistency of distributed preference relations under fuzzy uncertainty

Large-scale group decision making (LSGDM) problem is common in real life. With the increase in the number of alternatives and the limited rationality of human beings, consistency problem is inevitable when pairwise comparison method is used. We propose an improved consistency calculation approach to generate consistent distributed preference relations (DPRs), which adopts adjacent score intervals to calculate the score intervals of non-adjacent alternative pairs. By using optimization model, the initial DPR is preserved as much as possible on the premise of order consistency. As for the consensus analysis, the concept of relationship-possibility degree is defined to capture the ignorance and fuzzy uncertainty in assessments. An ordinal consensus measure method considering absolute position difference and relative position dissimilarity with relationship-possibility degree is proposed. Ordinal-cardinal consensus adjustment model based on DPR is then constructed to obtain the minimum consensus adjustment of decision makers or subgroups coalition which are considered as coalition payoff. In addition, to distribute the ordinal-cardinal minimum consensus adjustment reasonably, we construct a two-stage consensus adjustment allocation mechanism adopting the improved multi-weighted Shapley function in the cooperative game. Several optimization models are constructed to obtain the adjusted DPRs of decision makers or subgroups. Finally, an illustrative example is presented to demonstrate the validity of the proposed method in dealing with the decision problems of product development engineering. It is expected to make the LSGDM procedure in a more intelligent way.

A comparative study on precision of direct evaluations, the Pairwise Comparisons Method and the Best-Worst Method

The aim of this paper is to design, carry out and analyze an experiment with over 100 respondents to measure the precision of the respondents when they compare (by evaluation) the areas of nine geometric figures and five distances between cities by using direct evaluations, Pairwise Comparisons Method and Best-Worst Method. The outcomes of the experiment indicate that the direct evaluations are the most imprecise and that there is not statistically significant difference between Best-Worst Method and Pairwise Comparisons Method.

AHP and geospatial technologies for identifying groundwater exploration target regions in Dindigul, southern India

Recent advances in space technology are being widely utilized in resource mapping and management as they provide a high level of accuracy over a short duration and at a lower cost, when compared to traditional methods. Remote sensing and the geographical information system (GIS) play a vital role in collecting and analyzing information used to map resources and earth surface features. For example, anthropogenic activities and climate change affect the natural interaction between the surface and ground water making the monitoring and management of groundwater resources mandatory for future sustainable development. In this study, we attempt to identify the groundwater potential zones in the Dindigul district of Tamil Nadu, India using these emerging technologies. To map regions with groundwater potential, the analytical hierarchical process (AHP) was used to assign weights to all classes in each thematic layer based on groundwater-influencing factors. The sub-features of every parameter were also ranked, using a pairwise comparison method, based on the groundwater-influencing factors and expert knowledge. The parameters selected for the analysis were geology, geomorphology, soil, land-use/land-cover, drainage density, lineament density, slope, rainfall, thickness of top-soil, thickness of fractured zone, thickness of weathered zone, topographic wetness index, roughness and curvature. The weighted overlay analysis method was adopted for all the thematic layers, with technical support from the AHP for assigning weightages. The results were classified into five categories viz., very high, high, moderate, low, and very low potential zones, and used to prepare a groundwater potential map. This map revealed a nuanced distribution of groundwater potential across the district, with varying degrees of potentiality in different regions. Very high potential zones occupy a minimal area (0.07%) but are strategically located in areas characterized by high weathered zone thickness and conducive soil characteristics. High potential zones cover a significant area (22.33%) and are dispersed throughout the district, with specific concentrations in regions featuring highly fractured zones and favorable geological attributes. Moderate potential zones (35.12%) are primarily located in the northeastern part of the study area, while low and very low potential regions cover 19.56% and 22.92% of the study area. The low and very low potential zones appear particularly in hilly terrains, with unfavorable top soil and geological conditions. The validation of the groundwater potential zone (GWPZ) map using the annual average water level data demonstrates a substantial match (60.53%) between the identified groundwater conditions and actual well depths, affirming the reliability and significance of the findings from this study.

On homology groups for pairwise comparisons method

In this study, we introduce pairwise comparisons matrix classification based on homology groups of graphs with unique vertices. Algebraic topology transforms a sequence of topological objects (such as graphs associated with pairwise comparison matrices) into algebraic objects such as homology groups. It is the first attempt to use this tool to classify matrices of pairwise comparisons based on the triads in which the inconsistency occurs. The Koczkodaj inconsistency indicator was used in this study.

Kansei Drives Sustainable Material Innovation—An Approach to Enhance the Added Value of Biomass Materials

Abstract: In this study, we discovered that the physical composition of materials can significantly affect users’ psychological and physiological responses. Materials research constantly offers novel materials as better alternatives to convention. However, the functionality of a material no longer ensures its commercial success and widespread use. Additionally, the material should provide significant added value beyond its practical evaluation. Kansei, a concept derived from the Japanese language, pertains to the psychological perception of a product’s functionality and has attracted considerable attention in both industry and academia. This study proposes a Kansei-driven sustainable material method to enhance materials’ added value. We quantified users’ Kansei of tea waste materials via experiments. Specifically, we first measured the physical qualities of the materials, such as their color, surface roughness, and odor index. Next, we used semantic differential and pairwise comparison methods to measure users’ impressions and preferences toward the materials. We also employed wearable physiological measurement devices to capture users’ reactions to the materials, including the skin conductance level (SCL) and heart rate (HR). Finally, we conducted correlation analysis using the Statistical Package for the Social Sciences (SPSS) on the collected physical, psychological, and physiological data. This study found strong correlations between the materials’ frictional coefficients and surface roughness and people’s psychological evaluations, such as sensory and safety factors. In addition, we also found that these physical qualities affect people’s HR and SCL, leading to changes in people’s emotions. These findings carry significant implications for enhancing the added value of materials.

PEMETAAN JASA EKOSISTEM PENYEDIA PANGAN DI PROVINSI BALI

Ecosystem services are the benefits that humans obtain from ecosystems. With the growing demand to implement sustainable development, the need for information on ecosystem services is increasing as a consideration in various policies and development planning. In response to this need, the method that is often used is the preparation of ecosystem services maps using an approach obtained from land cover data. Many people think this method works well and saves a lot of time and money, especially for studying places on a global, regional, or national level, where it's easy to get data on land cover. The point of this study is to look at how the results of the 2018 and 2022 food supply ecosystem services maps compare. These maps were made by experts who thought about how ecosystem services could be used in different types of land and ecoregions. The Analytical Hierarchy Process (AHP) with the pairwise comparison method is used to figure out how much ecosystem services are worth in relation to land cover and ecoregions. The island of Bali was used as a study area, and food supply was the type of ecosystem service that was looked at. Ecoregion data results for 2022 with the high class being more dominant and having an area of 385,339.19 ha or the equivalent of 66.67%. Land cover in 2018 produced a dominant high class with an area of 288,931.82 ha or the equivalent of 48.74%. The land cover results in 2022 are predominantly high class with an area of 289,039.25 ha or the equivalent of 50.01% of the total area of the island of Bali. The analysis results from the combination of ecoregion and land cover in 2022 are predominantly high class with an area of 182,039.65 ha or the equivalent of 31.49%. Several factors can explain the connection between ecosystem processes and the benefits they provide, which can get around or lessen the problems with using land cover data. Keywords: Ecosystem Services; Expert Judgement; Ecoregion; Land Use Based Proxy

Digitization of the Production Process: An Example of The Use of RFID Technologies For Modern Enterprises

The purpose of the study is to improve the efficiency of the production process of engineering enterprises. The object of study is enterprise engineering. The scientific task is to determine the most optimal RFID technologies to improve the accuracy and efficiency of the production process of engineering enterprises. The technique involves the use of the Saaty method of hierarchies and pairwise comparison. As a result, the most optimal and effective RFID technologies were selected to improve the production process of engineering enterprises through hierarchical ordering of the most significant RFID technologies that affect the production process of engineering enterprises. One limitation of this study is its exclusive focus on RFID technologies, which may not take into account the potential of other technology solutions to improve manufacturing processes. In addition, the use of Saaty's method of hierarchies and even comparison may introduce subjectivity into the selection of optimal technologies, since the results depend on expert assessments. Prospects for further research may include comparison of RFID with other modern technologies that are being implemented in engineering enterprises to ensure greater objectivity and completeness of the analysis. Also, an important aspect of future research could be a detailed analysis of the impact of RFID implementation on the economic efficiency of production and employee workload.

Effect of aerobic exercise on neutrophil–lymphocyte ratio, platelet–lymphocyte ratio, and lymphocyte–monocyte ratio in burn patients: A randomized controlled trial

This study aimed to investigate the effects of aerobic exercises in addition to standard treatment on parameters such as neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) in patients with burns. A total of 31 hospitalized patients included in the study were divided into two groups using covariate adaptive randomization method according to burn percentage and burn type (1st:standard treatment, 2nd: standard treatment + aerobic training). NLR, PLR, and LMR were evaluated for 5 weeks in all groups. Independent samples t-test and Mann-Whitney U test were used to examine differences between the two groups. For comparing more than two groups, Friedman's test was used for non-normally distributed variables and Bonferroni test was used as the post hoc pairwise comparison method. Intragroup comparison of individuals in group 1 showed that the NLR values on days 7 and 14 were significantly higher than those on days 28 and 35 (p<0.05). Intragroup comparison of individuals in group 2 showed that the NLR values on days 1, 7, and 14 were significantly higher than those on days 21 and 35. Additionally, the NLR values on day 14 were higher than those on day 28. Individuals in group 1 showed a significant increase in PLR values each week (p<0.05). The addition of aerobic training to standard treatment in patients with burns may be more effective in improving inflammation markers such as NLR, PLR, and LMR.

Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic

ABSTRACT The Green Deal strategic plan for the development of renewable energy until 2030 is of particular importance in the context of the restoration of Ukraine’s post-war energy infrastructure. One of the key topics is the analysis of the possibilities of installing large solar power plants in Ukraine. In this article, a multi-criteria analysis of the suitability of the territory of Ukraine is carried out on the basis of climatic, topographic and land use criteria. To assess land suitability, criteria standardized using fuzzy logic with weights determined by experts through the method of pairwise comparisons were combined using a weighted sum model. Upon completing the study, a suitability map was generated, depicting zones with varying levels of suitability (ranging from 0 to 1) for solar power plant placement. It was found that more than 35.68% of the country has average values of the suitability index (0.65–0.7), and approximately 18.82% show high indicators (<0.7). Conditions are especially favorable in the south of Ukraine.

Enamel Remineralisation with a Novel Sodium Fluoride-Infused Bristle Toothbrush.

This study aims to investigate whether toothbrushes with fluoride-infused bristles have any (re)mineralisation effects on bovine enamel. Bovine incisors (N = 160) were extracted, and the buccal side of the crown was cut into dimensions of ~5 mm × 5 mm with a low-speed saw. These specimens were randomly allocated into four groups: half (80 teeth) were stored in demineralising solution (DM), and the other half were stored in deionised water (DW) for 96 h. Then, they were brushed with a force of 2.0 ± 0.1 N for five min with a manual toothbrush with either fluoride-infused (TF) or regular (TR) bristles. Microhardness (Vickers), X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDS), and scanning electron microscopy (SEM) were used to investigate the surfaces of the bovine enamel specimens before and after brushing. Two-way ANOVA was used to analyse the hardness data, and the pairwise comparison method was used to analyse the Ca/P ratio, for each group at α = 0.05. The results show that brushing with either of these toothbrushes increased the Vickers microhardness on DM and DW enamel (p < 0.001), whereas hydroxyapatite was revealed in all groups by XRD. The DM samples showed a significant increase (p < 0.05) in the Ca/P ratios after brushing with TR and TF. Conversely, under DW conditions, these ratios decreased significantly after brushing. In terms of the F atomic%, TF increased significantly. SEM revealed mineral deposition in the DM groups after toothbrushing. To conclude, toothbrushing effectively induces the microhardness of sound and demineralised enamel, while fluoride-infused bristles might be able to retain fluoride on the enamel surface.

Boosting large‐scale construction project risk management: Application of the impact of building information modeling, knowledge management, and sustainable practices for optimal productivity

AbstractThis study investigates the relationship between Building Information Modeling (BIM) and knowledge management in large‐scale construction projects, emphasizing risk management, and increasing productivity. This study aims to identify the most important and impactful aspects of modern management techniques in the large‐scale construction sector to improve construction quality; focusing on cost reduction, energy conservation, and pollution reduction during construction. Employing a validated questionnaire from experts and the Analytical Hierarchy Process (AHP), the research prioritizes key factors, elucidating the pivotal role of BIM in understanding project geometry, efficient documentation, design flexibility, and reduced project delays. Ascertained through data analysis employing the pairwise comparisons method of the AHP analysis method, the compatibility of all comparisons and matrices arising from the decision‐making process of experts was below 0.1. The results establish BIM's technical capabilities, economic considerations, and pollution reduction as paramount, contributing significantly to improve large‐scale construction project risk management. The prioritization of the main criteria reveals their significance in the following order: BIM technical capabilities (0.281), BIM economic capabilities (0.231), pollution reduction (0.228), knowledge management capabilities (0.096), BIM time capabilities (0.090), and human resources management capabilities (0.074). BIM can improve risk management for large‐scale construction projects by: using the BIM model to understand the geometry and features of large‐scale construction projects; digitizing and organizing contract documents, project data, plans, work instructions, roles and responsibilities, cost, time, and energy analysis, and other project‐related documents for efficient project management; decreased duplication and project delays; reducing the need for on‐site personnel during implementation and CO2 emissions reduction. According to the results of the BIM model utilization to better understand the geometry and characteristics of large‐scale construction projects, the item was identified as the most significant and influential among the main components.

RISK ASSESSMENT FOR THE DEVELOPMENT OF THE EXEMPLIFIED TERRITORIES

The paper explores the risks associated with exempted and liberated territories that were previously used for certain industrial, commercial, agricultural or other activities. Such territories were captured or used by military forces during the war and then liberated or abandoned and left unattended, or were disturbed by natural disasters, man-made accidents, etc. The aim of the article is to analyze the possibility of their further use and rehabilitation. The following indicators of risk sources can be identified in such areas: presence of explosive objects; level of soil and water contamination; presence of chemical, biological or radiation contamination; degree of damage to infrastructure and building structures; risk of dangerous situations and accidents; impact on the health and safety of the local population; possibility of spreading infectious diseases; presence of unexploded or uncontrolled explosive materials; risk of re-invasion by enemy forces; potential environmental damage; and potential environmental impact. Based on the analysis of these indicators, they were summarized and grouped into six main risk indicators: demining of territories; efficiency of demining and disposal of remnants of military equipment, mines, etc.; safety and efficiency of demining and disposal technologies; degree of contamination of the demined territories after demining and disposal; level of safety assessment of the population living in these territories; return of vital infrastructure. An expert assessment methodology was applied, which includes an analysis of the severity of the consequences and the likelihood of their occurrence. The risks were ranked using the method of pairwise comparisons. The results of the study can be used to develop strategies for the further use and rehabilitation of the affected areas. The results of the study indicate the need for systematic monitoring and control of the exempted and liberated territories in order to prevent possible environmental and socio-economic problems. To ensure sustainable development and conservation of natural resources, due attention should be paid to the issues of environmental safety and rehabilitation of these territories. Further research in this area will allow developing more effective strategies for the use and rehabilitation of exempted areas, taking into account current environmental and socio-economic challenges.

Computationally efficient orthogonalization for pairwise comparisons method

Orthogonalization is one of few mathematical methods conforming to mathematical standards for approximation. Finding a consistent PC matrix of a given an inconsistent PC matrix is the main goal of a pairwise comparisons method. We introduce an orthogonalization for pairwise comparisons matrix based on a generalized Frobenius inner matrix product. The proposed theory is supported by numerous examples and visualizations.

Generalized Pairwise Comparisons Method to Assess Total Severe Oral Mucositis Burden and Interventional Benefit in HNC

Generalized Pairwise Comparisons Method to Assess Total Severe Oral Mucositis Burden and Interventional Benefit in HNC

Use of win time for ordered composite endpoints in clinical trials.

Consider the choice of outcome for overall treatment benefit in a clinical trial which measures the first time to each of several clinical events. We describe several new variants of the win ratio that incorporate the time spent in each clinical state over the common follow-up, where clinical state means the worst clinical event that has occurred by that time. One version allows restriction so that death during follow-up is most important, while time spent in other clinical states is still accounted for. Three other variants are described; one is based on the average pairwise win time, one creates a continuous outcome for each participant based on expected win times against a reference distribution and another that uses the estimated distributions of clinical state to compare the treatment arms. Finally, a combination testing approach is described to give robust power for detecting treatment benefit across a broad range of alternatives. These new methods are designed to be closer to the overall treatment benefit/harm from a patient's perspective, compared to the ordinary win ratio. The new methods are compared to the composite event approach and the ordinary win ratio. Simulations show that when overall treatment benefit on death is substantial, the variants based on either the participants' expected win times (EWTs) against a reference distribution or estimated clinical state distributions have substantially higher power than either the pairwise comparison or composite event methods. The methods are illustrated by re-analysis of the trial heart failure: a controlled trial investigating outcomes of exercise training.

Identifying high-vulnerable garbage accumulation areas in Coimbatore City, India: an AHP-GIS approach for effective waste management.

Urbanization has resulted in a surge in municipal solid waste (MSW) generation, posing critical waste management challenges in urban areas. To tackle this issue, we introduce a novel approach for mapping garbage vulnerability zones (GVZ) in Coimbatore City, India, combining the analytic hierarchy process (AHP) and Geographic Information System (GIS). Seven criteria, including per capita waste generation, open dumping, land use land cover, road/railway networks, and population, were integrated and analyzed in GIS. AHP pairwise comparison method assigned weights to each criterion and principal component analysis (PCA) further validated the interconnectedness of the criteria and their impact on the GVZs. The results indicated that open dumping locations and population density are the most influential factors contributing to the risk of garbage accumulation, making up 23.7% and 21.2% of the total weight, respectively. The GVZ map reveals that 94.6% of Coimbatore City is at risk of MSW accumulation, with 20.2% highly and 74.4% moderately vulnerable. Eleven high GVZ clusters were identified, with Saravanampatti, located in the northeastern part of Coimbatore City, being the most vulnerable area. The H3 hexagon format of the GVZ map enhances its usability for monitoring and mitigation capabilities. In conclusion, our comprehensive AHP-GIS approach facilitates effective waste management practices, sustainable resource utilization, and better environmental and public health outcomes in urban areas. The demonstrated methodology has the potential for application in similar developing urban areas in South Asia and the Global South, serving as a valuable tool to address the challenges posed by increasing MSW generation.