Foundational Elements Research Articles

MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT

In the dynamic landscape of modern business operations, ensuring economic security through efficient and intelligent fleet management is imperative. This necessitates a dual focus on safeguarding revenue streams and optimizing operational costs. The aim of this study centers on two main objectives: first, to identify driving behaviors that have a substantial impact on vehicle maintenance costs; second, to ensure the sustainability of the fleet is managed effectively. To achieve these objectives, the research employs unsupervised Machine Learning (ML) techniques for segmenting driving styles based on diverse parameters collected from Internet of Things (IoT) devices. Furthermore, the Long Short-Term Memory (LSTM) algorithm is used for forecasting fuel consumption, offering a predictive glance into future expenditures. The methodology is based on the analysis of data gathered from sensors installed on the vehicle's Controller Area Network (CAN), collected over a span of five months. The findings spotlight a subset of drivers whose aggressive driving significantly influences maintenance costs and highlight optimal indicators for drivers to monitor to minimize CO2 emissions. Additionally, the study identifies key performance indicators that drivers should monitor to reduce CO2 emissions, contributing to the environmental sustainability of the fleet. This investigation not only elucidates the financial and environmental implications of driving behaviors but also showcases the transformative potential of ML technologies in enhancing the strategic management of vehicle fleets. Through this exploration, the research advocates for the integration of advanced analytics and sustainable practices as foundational elements for businesses striving to achieve economic security and operational resilience.

Revolutionizing Healthcare: AI-Driven Advances in EMR Management

The integration of artificial intelligence (AI) and blockchain technologies signifies a significant paradigm shift within the healthcare domain, unlocking novel pathways for transformation. Conventional healthcare infrastructures grapple with challenges such as disjointed patient data, manual prescription processes, and restricted access to complete medical records. In response to these issues, our initiative presents an innovative solution that harnesses the synergies of AI and blockchain to establish a state-of-the-art healthcare framework. At its core, our mission revolves around the creation of a decentralized ecosystem that reimagines how patient records are managed and prescriptions are handled. By seamlessly blending AI algorithms with blockchain technology, our system aims to tackle pivotal challenges in healthcare, including addressing gaps in data interoperability, ensuring prescription accuracy, and facilitating streamlined access to comprehensive patient information. The foundational elements of this framework include decentralized data storage, AI-guided prescription generation, consolidation of extensive patient histories, user-centric design, robust data security, compliance with privacy regulations, and a steadfast commitment to ethical considerations. This exploration delves deep into the obstacles confronting traditional healthcare systems, presenting a thorough problem statement. It articulates the objectives of our proposed system, providing a transparent roadmap for confronting these challenges head-on. As we progress towards achieving these objectives, our project envisions a metamorphosed healthcare landscape characterized by heightened precision in medical decision-making, increased patient engagement, and overall enhanced efficiency. This endeavor holds the potential to revolutionize healthcare practices, empower healthcare professionals, and elevate the patient experience by seamlessly harnessing the convergence of AI and blockchain technologies. Keywords: Artificial Intelligence (AI), Blockchain, Healthcare, Decentralized, Electronic Medical Record (EMR), comprehensive patient history consolidation.

Research on the Disruptive Transformation and Future Development of American Teaching Models in the Context of Intelligent Transformation

The educational landscape is undergoing a transformative shift with the integration of Artificial Intelligence (AI), especially evident in the United States where the "AI tutor + teacher" collaborative teaching model is gaining traction. This model synergizes the computational prowess of AI tutors with the irreplaceable emotional intelligence and creativity of human teachers, aiming to optimize educational outcomes and foster a more personalized learning experience. This essay delves into the intricacies of this innovative teaching model, elucidating its structure, characteristics, and potential future developments through a blend of theoretical analysis and practical case studies, including an in-depth examination of the Bettys Brain platform. The discussion extends to the foundational elements of Intelligent Tutoring Systems and the emerging field of human-computer collaborative teaching, highlighting the multifaceted implications of AI in education. The research methods encompass a comprehensive review of existing literature, case study analysis, and theoretical exploration. The essay concludes by underscoring the transformative potential of AI in education, while also advocating for a mindful approach to its integration, ensuring alignment with educational equity and ethical standards. The findings and discussions presented in this essay contribute to the broader discourse on the future of education, emphasizing the need for a balanced and thoughtful integration of AI to enhance the teaching-learning paradigm.

Development of planning support systems: A systematic review of the Chinese language literature

Due to the increasing complexity of cities and the involvement of multiple stakeholders in urban planning, the field encompasses vast amounts of information, expertise, planning tools, and communication skills. Planning support systems (PSS) are geo-information-technology-based instruments that offer a suite of supportive tools to aid the urban planning process. Over the past three decades, PSS has seen widespread exploration and implementation globally, including within the rapidly evolving context of China. Nonetheless, language barriers have posed challenges in reviewing and synthesizing PSS advancements documented in Chinese publications. To provide a thorough and objective perspective of the achievements in Chinese literature for international scholars, this study adopts a systematic review methodology. It screens 68 relevant high-quality articles from the China National Knowledge Infrastructure and conducts statistical analyses on them, focusing on publication time, geographic distribution, fields of study, etc. Then it mainly summarizes the development of foundational elements and the applications of the systems. It is found that in terms of system elements, China has developed some unique theories and corresponding planning models, alongside exploring various technological aspects. In applications, PSS serves various functions across different subfields, reflecting the division of labor in China’s planning process and the orientation of its policies. Future research avenues could encompass the creation of policy-driven comprehensive management functions, the development of systems tailored to specific contexts, and the exploration of new technologies like Information and Communication Technology (ICT) and generative Artificial Intelligence to boost PSS functionality and efficiency.

We Prefer to Stay Grounded!

We have proposed a three-pronged approach to identify sustainable practices during road construction: (1) Route segmentation and identification of drive phases, including loading and dumping stages; (2) Use of Digital Elevation Models (DEM) and digital terrain models(DTM) acquired by UAVs to measure progress of construction from volumetric changes; and (3) Use of vegetation indices derived from satellite imagery to calculate changes in carbon stock. The paper introduces a novel technique for identifying driving phases for heavy trucks based only on GPS data. We also delve into how these approaches can serve as the foundational elements in the creation of digital twins tailored to the construction industry.

Insights into the Biological Activities and Substituent Effects of Pyrrole Derivatives: The Chemistry-Biology Connection.

Pyrrole, with its versatile heterocyclic ring structure, serves as a valuable template for generating a diverse range of lead compounds with various pharmacophores. Researchers and scientists globally are intrigued by pyrrole and its analogs for their broad pharmacological potential, prompting thorough investigations aimed at advancing human welfare. This comprehensive review delves into the diverse activities exhibited by pyrrole compounds, encompassing their synthesis, reactions, and pharmacological properties alongside their derivatives. In addition to detailing the characteristics of pyrrole and its derivatives within the context of green chemistry, the review also examines microwave-assisted reactions. It provides insights into their chemical structures, natural occurrences, and potential applications across various domains. Furthermore, the article investigates structural alterations of pyrrole compounds and their implications on their functionality, highlighting their versatility as foundational elements for both functional materials and bioactive compounds. The review emphasizes the need for ongoing research and development in the field of pyrrole compounds to discover new activities and benefits.

Christianity and Rationalism:

Maximus the Confessor and René Descartes were influential thinkers in their respective historical and philosophical contexts, but their philosophical orientations and concerns were distinct. Maximus was primarily a Christian theologian who integrated faith and reason within a theological framework, while Descartes was a key figure in the development of modern philosophy, emphasizing individual reason and scepticism as foundational elements of his philosophical system. This paper aims to present some aspects of their philosophy and try to find common ground in their thought.

Microstructural neural correlates of maximal grip strength in autistic children: the role of the cortico-cerebellar network and attention-deficit/hyperactivity disorder features.

Maximal grip strength, a measure of how much force a person's hand can generate when squeezing an object, may be an effective method for understanding potential neurobiological differences during motor tasks. Grip strength in autistic individuals may be of particular interest due to its unique developmental trajectory. While autism-specific differences in grip-brain relationships have been found in adult populations, it is possible that such differences in grip-brain relationships may be present at earlier ages when grip strength is behaviorally similar in autistic and non-autistic groups. Further, such neural differences may lead to the later emergence of diagnostic-group grip differences in adolescence. The present study sought to examine this possibility, while also examining if grip strength could elucidate the neuro-motor sources of phenotypic heterogeneity commonly observed within autism. Using high resolution, multi-shell diffusion, and quantitative R1 relaxometry imaging, this study examined how variations in key sensorimotor-related white matter pathways of the proprioception input, lateral grasping, cortico-cerebellar, and corticospinal networks were associated with individual variations in grip strength in 68 autistic children and 70 non-autistic (neurotypical) children (6-11 years-old). In both groups, results indicated that stronger grip strength was associated with higher proprioceptive input, lateral grasping, and corticospinal (but not cortico-cerebellar modification) fractional anisotropy and R1, indirect measures concordant with stronger microstructural coherence and increased myelination. Diagnostic group differences in these grip-brain relationships were not observed, but the autistic group exhibited more variability particularly in the cortico-cerebellar modification indices. An examination into the variability within the autistic group revealed that attention-deficit/hyperactivity disorder (ADHD) features moderated the relationships between grip strength and both fractional anisotropy and R1 relaxometry in the premotor-primary motor tract of the lateral grasping network and the cortico-cerebellar network tracts. Specifically, in autistic children with elevated ADHD features (60% of the autistic group) stronger grip strength was related to higher fractional anisotropy and R1 of the cerebellar modification network (stronger microstructural coherence and more myelin), whereas the opposite relationship was observed in autistic children with reduced ADHD features. Together, this work suggests that while the foundational elements of grip strength are similar across school-aged autistic and non-autistic children, neural mechanisms of grip strength within autistic children may additionally depend on the presence of ADHD features. Specifically, stronger, more coherent connections of the cerebellar modification network, which is thought to play a role in refining and optimizing motor commands, may lead to stronger grip in children with more ADHD features, weaker grip in children with fewer ADHD features, and no difference in grip in non-autistic children. While future research is needed to understand if these findings extend to other motor tasks beyond grip strength, these results have implications for understanding the biological basis of neuromotor control in autistic children and emphasize the importance of assessing co-occurring conditions when evaluating brain-behavior relationships in autism.

Shared and distinct electroencephalogram microstate abnormalities across schizophrenia, bipolar disorder, and depression.

Microstates of an electroencephalogram (EEG) are canonical voltage topographies that remain quasi-stable for 90 ms, serving as the foundational elements of brain dynamics. Different changes in EEG microstates can be observed in psychiatric disorders like schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD). However, the similarities and disparatenesses in whole-brain dynamics on a subsecond timescale among individuals diagnosed with SCZ, BD, and MDD are unclear. This study included 1112 participants (380 individuals diagnosed with SCZ, 330 with BD, 212 with MDD, and 190 demographically matched healthy controls [HCs]). We assembled resting-state EEG data and completed a microstate analysis of all participants using a cross-sectional design. Our research indicates that SCZ, BD, and MDD exhibit distinct patterns of transition among the four EEG microstate states (A, B, C, and D). The analysis of transition probabilities showed a higher frequency of switching from microstates A to B and from B to A in each patient group compared to the HC group, and less frequent transitions from microstates A to C and from C to A in the SCZ and MDD groups compared to the HC group. And the probability of the microstate switching from C to D and D to C in the SCZ group significantly increased compared to those in the patient and HC groups. Our findings provide crucial insights into the abnormalities involved in distributing neural assets and enabling proper transitions between different microstates in patients with major psychiatric disorders.

The cognition of standards and standardization concepts and reflection on standardization work of traditional Chinese medicine specialty

In the journey towards the modernization and internationalization of Traditional Chinese Medicine (TCM), standards and standardization emerge as indispensable foundational elements and carry strategic significance. By introducing the concepts of standards and standardization, this article emphasizes their essential roles as the base of modern industry and the core of modernization efforts. It revisits the development plans and national strategies for TCM, highlighting the pivotal role of standardization in the inheritance and innovation within the TCM discipline. The standardization of TCM specialties is underscored for its critical function in both inheriting and innovating, as well as enhancing the international competitiveness of TCM. Through discussing the specific practices in standardizing the TCM specialty of spleen and stomach diseases, the article advocates for strengthening top-level design and advancing the systematic construction of the TCM specialty standards system. It suggests employing a variety of methods, including expert consultations and literature research, to refine the standardization processes of TCM clinical diagnosis and treatment techniques. This approach ensures that the work on specialty standardization not only meets practical needs but also possesses foresight and scientific validity.

Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department

The introduction of large language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4; OpenAI), has generated significant interest in health care, yet studies evaluating their performance in a clinical setting are lacking. Determination of clinical acuity, a measure of a patient's illness severity and level of required medical attention, is one of the foundational elements of medical reasoning in emergency medicine. To determine whether an LLM can accurately assess clinical acuity in the emergency department (ED). This cross-sectional study identified all adult ED visits from January 1, 2012, to January 17, 2023, at the University of California, San Francisco, with a documented Emergency Severity Index (ESI) acuity level (immediate, emergent, urgent, less urgent, or nonurgent) and with a corresponding ED physician note. A sample of 10 000 pairs of ED visits with nonequivalent ESI scores, balanced for each of the 10 possible pairs of 5 ESI scores, was selected at random. The potential of the LLM to classify acuity levels of patients in the ED based on the ESI across 10 000 patient pairs. Using deidentified clinical text, the LLM was queried to identify the patient with a higher-acuity presentation within each pair based on the patients' clinical history. An earlier LLM was queried to allow comparison with this model. Accuracy score was calculated to evaluate the performance of both LLMs across the 10 000-pair sample. A 500-pair subsample was manually classified by a physician reviewer to compare performance between the LLMs and human classification. From a total of 251 401 adult ED visits, a balanced sample of 10 000 patient pairs was created wherein each pair comprised patients with disparate ESI acuity scores. Across this sample, the LLM correctly inferred the patient with higher acuity for 8940 of 10 000 pairs (accuracy, 0.89 [95% CI, 0.89-0.90]). Performance of the comparator LLM (accuracy, 0.84 [95% CI, 0.83-0.84]) was below that of its successor. Among the 500-pair subsample that was also manually classified, LLM performance (accuracy, 0.88 [95% CI, 0.86-0.91]) was comparable with that of the physician reviewer (accuracy, 0.86 [95% CI, 0.83-0.89]). In this cross-sectional study of 10 000 pairs of ED visits, the LLM accurately identified the patient with higher acuity when given pairs of presenting histories extracted from patients' first ED documentation. These findings suggest that the integration of an LLM into ED workflows could enhance triage processes while maintaining triage quality and warrants further investigation.

Misuse of emergency powers and its effect on civil society—the case of Hungary

Democratic tolerance has been used for their own destruction in Hungary. Gradually, various forms of crisis management have become the very nature of the governing political parties since 2010. Under the framework of Carl Schmitt's enemy-friend dichotomy, the Orbán regime has created its own “enemies” partially among those who would never be thought to be a threat to a constitutional democracy but to be considered its foundational elements (political opposition, NGOs, free media, etc.). This article shows how emergency powers and autocratic legalism were misused against civil society. There is one simple goal for the Hungarian autocratic regime: defending “our democracy” against “them,” who would still like to promote liberal democracy and the rule of law.

ADDRESSING PRIVACY AND ETHICAL CONSIDERATIONS IN HEALTH INFORMATION MANAGEMENT SYSTEMS (IMS)

This paper explores the crucial role of privacy and ethics in Health Information Management Systems (HIMS), addressing the inherent challenges and presenting innovative solutions through detailed case studies. We examine the significant privacy concerns, such as data breaches and unauthorized data sharing, alongside ethical issues like informed consent and equitable access to technology. Effective solutions including the Privacy-Preserving Distributed Analytics (PPDA) model and proactive bioethics committees, as demonstrated by institutions like Vanderbilt University Medical Center, illustrate successful strategies for managing these concerns. The paper emphasizes the importance of prioritizing privacy and ethics not merely as compliance requirements but as foundational elements essential to the trustworthiness and effectiveness of HIMS. It advocates for a continuous, proactive approach to address these issues as technology evolves and regulations change. Furthermore, we call for a collaborative effort among policymakers, healthcare providers, technologists, and patients to develop and refine HIMS that uphold the highest standards of privacy, ethics, and accessibility, thus enhancing the quality of care and health outcomes for all stakeholders.

Scientific and methodological approaches to improving the level of environmental and labour safety as modern trends and prospects of higher education

Relevance. In the context of globalisation and the active development of the industrial sector, issues of environmental and labor safety are increasingly pertinent. The study addresses the need to develop methods for enhancing these aspects to safeguard citizen life and health, particularly through integration into higher education curricula. Purpose. The purpose of this study was to explore modern methods for improving environmental and labour safety as foundational elements for national and higher education development. Methodology. The study employed methods including analysis and synthesis, comparison, induction, and deduction to investigate the role of innovative technologies such as artificial intelligence, augmented reality, virtual reality, and monitoring sensors in enhancing environmental and labour safety. Results. The study identified those innovative technologies, including AI, AR, VR, and monitoring sensors, play crucial roles in improving environmental and labour safety. Scientific and methodological approaches were proposed, encompassing educational initiatives among university students and industry employees, skill assessments, hazard monitoring teams, green infrastructure development, and the application of modern technologies for safety control. Conclusions. The findings underscore the importance of integrating advanced technologies and methodological approaches into educational and industrial practices to enhance environmental and labour safety. Recommendations include better preparation of future professionals, optimization of professional practices, and improved performance of educational and research staff, benefiting both higher education institutions and industrial enterprises. Keywords: environment; nature conservation; protection measures; innovative technologies

The emergence of the new globalization: the approach of the evolutionary structural triptych

Purpose This study aims to analyze the emergence of a new structural configuration of globalization, with the 2008 global financial crisis serving as the first symptom of this change. By introducing the “Evolutionary Structural Triptych” (EST), this research seeks to understand the basic components of the new evolutionary trajectory of global capitalism post-2008. The study places emphasis on its interdependent and coevolving economic, political and technological dynamic facets. Design/methodology/approach This research introduces the EST framework, critically contrasting it with conventional understandings in international political economy (IPE) to provide a comprehensive and structured analysis of global developments after 2008. It traces the phases of global capitalism since Second World War, examines the central dynamic dimensions during each evolutionary phase, identifies the basic patterns and delves into the foundational elements of the emerging era of globalization. Findings The analysis reveals three key findings. First, the emerging restructured globalization indicates a need for a new balance in the contemporary world system; however, this balance cannot be achieved within the architecture of the old system. Second, the new era of globalization necessitates a re-equilibrated approach across different dimensions of geopolitical stability, economic development and innovation. This approach should emphasize sustainability, adaptability, resilience and inclusivity and lean toward responsible, open and organic innovation models for a revamped global structure. Third, while many current IPE theories tend to compartmentalize aspects of the new globalization, the EST advocates for a holistic perspective that integrates politics, economics and technology within the framework of global trends. This perspective bridges existing gaps and offers actionable insights for a dynamic and inclusive global future. Originality/value The paper presents the EST as a novel analytical instrument in the realm of the modern IPE. This tool uniquely places technology and innovation at the forefront, parallel to economic and political spheres, to comprehend the progression of globalization. In doing so, it highlights the intertwined relationship of these structural dimensions in shaping the future of the subject of the IPE.

Unlocking the potential of 2D nanomaterials for sustainable intelligent packaging

The demand for high food safety standards, spoilage prevention, and the minimization of food waste has spurred extensive investigation into intelligent food packaging. Within this field, considerable attention has been directed towards two-dimensional (2D) nanomaterials owing to their exceptionally thin layered configuration and diverse physicochemical, electrical, optical, and thermal properties. These attributes render 2D nanomaterials highly suitable for enhancing sensing capabilities in intelligent packaging systems. This review delves into the forefront of research concerning the utilization of 2D nanomaterials in intelligent packaging applications. It provides a comprehensive survey of intelligent food packaging concepts and explores various 2D materials, including graphene-based materials, MXene, and silicate clay, investigated for their potential in intelligent packaging systems. Additionally, the review interprets the structure, properties, and utilization of 2D materials in diverse biosensing systems encompassing gas, moisture, pH, and bacteria sensors, indicators, or wireless tags. Moreover, it examines the influence of 2D materials on the mechanical, optical, thermal, barrier, and bioactive properties of smart packaging, while also deliberating on their respective advantages and limitations. By combining these foundational elements, this study offers a distinctive and thorough contribution to the domain of food packaging, laying the groundwork for the future development of sustainable and high-performance packaging materials.

Demystifying the Metaverse: A Deep Dive into Characteristics, Enabling Technologies, Key Components, Surmounting Challenges, and Unveiling Boundless Applications

The metaverse, a concept evolving from science fiction to tangible digital reality, represents a complex, interconnected virtual space where individuals interact, collaborate, and create within immersive environments. This paper offers a comprehensive exploration of the metaverse, dissecting its core components, and characteristics and unraveling its transformative potential. Beginning with a definition of the metaverse, we delve into the enabling technologies that drive its existence, including extended reality, blockchain, decentralized infrastructure, etc. Through the analysis of key components such as virtual environments, avatars, and interoperability standards, we illuminate the foundational elements that facilitate connectivity and interaction within this digital realm. Additionally, we address the surmounting challenges facing the metaverse, ranging from technical hurdles like scalability and interoperability to societal concerns surrounding privacy and digital inclusion. Finally, we unveil the boundless applications of the metaverse across industries such as gaming, entertainment, education, healthcare, and commerce, showcasing its potential to revolutionize human engagement and innovation in virtual spaces. This deep dive aims to demystify the metaverse, providing insights into its evolution, challenges, and limitless possibilities for the future. INDEX TERMS Metaverse, Interoperability, Scalability, Data Security, Societal Limitations, Privacy Concerns, Accessibility Barriers, Ethical Considerations, Avatar, Extended reality, Blockchain.

Scrutinizing Business Development Research: Dynamic Retrospective Analysis and Conceptual Evolution

While prevalent in enterprise practice, business development (BD) activities have garnered limited attention within academic circles, leading to a noticeable dearth of discussions regarding their comprehensive understanding and the contemporary research landscape. Previous research has underscored the pivotal role and importance of business development activities in generating new growth opportunities and enhancing dynamic capabilities for enterprises. This article seeks to bridge this academic gap by synthesizing six decades of research literature on enterprise business development activities and tracing the progression of its research trajectory to uncover its complete narrative. Its contributions are manifold: firstly, we intensified the foundational elements of business development research by conducting a meticulous examination of various perspectives and providing insights into former ambiguities surrounding crucial aspects; secondly, it elucidates how contextual factors influence the emergence and evolution of enterprises’ business development activities, highlighting its research significance across different eras; thirdly, it conducts a comprehensive exploration of various research streams within business development and their nuanced interactions across key dimensions. Through these endeavors, this study aims to enrich academic discourse in the domain of business development, establishing a robust academic foundation for subsequent research.

Exploring Electrostatic Confinement Transport in MoS2/WSe2 Heterostructure via Triple‐Gated Point Contact Device

AbstractThe exponential development in quantum phenomena is directly correlated with the decreasing size of nano‐semiconductor transistors. Consequently, the use of a quantum structure that deviates from traditional transistor types becomes imperative. Electrostatically defined nanoscale devices within 2D semiconductor heterostructures serve as foundational elements for diverse quantum electrical circuits. Van der Waals heterostructures, distinguished by atomically flat interfaces and inherent 2D characteristics, offer advantages such as large‐scale uniformity, flexibility, and portability over conventional bulk semiconductor heterostructures. Herein, the intricate electronic behavior of a MoS2/WSe2 encapsulated heterostructure governed by split‐gate and middle‐gate configurations is investigated, revealing a distinctive step‐like current profile at a low temperature of 77 K. The observed four regimes in the current highlight the impact of quantum confinement induced by reduced lateral dimensions, coupled with precise electrostatic confinement controlled by gate voltages. The temperature dependence of the phenomena emphasizes the role of thermal effects on carrier scattering mechanisms. In addition, the pinch‐off characteristics with different temperatures, middle‐gate voltages, and drain biases are explored. This study contributes to a deeper understanding of electrostatic effects in 2D transition metal dichalcogenide heterostructures and holds promise for the development of advanced electronic devices with tailored confinement for enhanced functionalities.

A Review of Indigenous Knowledge Systems and Their Application in Sustainable Solid Waste Management

Indigenous communities have always used their knowledge systems to improve their quality of life. For example, rural communities’ resort to indigenous cultural practices to manage their own waste when local administration lacks coordinated ways to manage waste. In the context of indigenous knowledge systems, the idea of waste is non-existent. As indigenous knowledge is believed to provide a holistic framework for an approach that effectively promotes sustainability. As such, the current study conducted a systematic review to evaluate the extent to which indigenous solid waste management practices contribute to sustainable waste disposal methods. Using the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, a literature search was carried out in the field of indigenous solid waste management practices. The results indicate a significant imbalance in the amount of conclusive evidence that has been produced to date that suggests the sustainability of indigenous solid waste management practices. It is for this reason that the current study has discovered a substantial literature gap in sustainable solid waste management associated with indigenous knowledge systems. This is an unprecedented trend, especially for a knowledge system that is supposed to promote sustainability practices. However, to improve the likelihood of incorporating indigenous solid waste disposal methods into modern practices, it is imperative to understand the foundational elements that contribute to the advancement of sustainability, lest the sustainability aspect associated with this knowledge system in the discipline of solid waste management remain a mere rhetoric.