Journal of Cross-Disciplinary Sustainability Innovations
Balancing Scales: How Stability Policies Shape Judicial Independence and Administrative Litigation in China
Judicial review in China has evolved within a governance framework that privileges social stability over judicial autonomy. This study examines how stability-maintenance policies affect the impartiality, transparency, and independence of administrative litigation. Drawing on doctrinal analysis, legislative review, and selected case studies, the paper traces reforms to the Administrative Litigation Law and shifts in the Supreme People’s Court’s accountability mechanisms, highlighting the formal introduction and limited application of standards such as “obvious impropriety” and the proportionality principle. Empirical and doctrinal evidence indicates that hierarchical supervision, performance metrics, and stability-oriented dispute-resolution practices constrain judicial discretion in practice. Court strategies increasingly favor mediation and dispute absorption to pre-empt mass incidents, narrowing substantive review and marginalizing challenges to abstract administrative acts. As a result, judicial review functions more often to legitimize administrative decisions than to robustly protect individual rights. The study concludes that while maintaining social order is not inherently incompatible with the rule of law, the institutionalization of stability priorities systematically compresses the substantive space for independent adjudication. The paper offers targeted policy recommendations for aligning proportionality-based reasoning with judicial autonomy.
Copyright (c) 2025 Zijing Wang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Platform Interfaces and Gendered Design in Postcolonial Cities: Toward Cultural Sustainability and Ethical Algorithmic Futures
This paper is discussing how gendered assumptions could be found in the platform interface design, especially under the context of postcolonial digital environment. The research, mainly based on interpretive method and also some interaction simulations, takes examples from mobile platforms in places like Hong Kong region, Macao region and Singapore. It is trying to find out how different design elements—color, gestures, algorithm of personalization, etc.—are making the digital behaviors of users become normalized in some invisible but effective way. In this case, interface is not just a tool. It is a cultural thing, and the way it works can be ideological. The study used visual analysis together with experimental design methods. One finding is that gender shows up not directly but through small details. Some personalization strategies, for example, do not always support the user, but sometimes silently limit them. This article tries to offer a contribution to feminist tech studies and also platform research in general. The idea is to see interface design as something not only technical but also connected to power and also cultural control.
Copyright (c) 2025 Zhuowei Li (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
A Holistic Framework Linking Environmental Practices to Business Performance and Sustainability: The Management Approaches
The problem of escalating degradation of the environment, scarcity of resources and the changing expectations of consumers in this global industry of restaurant has drawn attention on sustainability. The increasing awareness of integrated sustainability strategies like green technologies, circular economy models, and stakeholder engagement has proved to be the case, but there is a wide gap in knowledge about how these strategies are to be successfully implemented within the sector. The main purpose of this study is to find out critical challenges of sustainability and how strategic approaches can be taken by restaurants to deal with these challenges. The study explores current practices of sustainable restaurant operations using a secondary data and literature review supported by qualitative content analysis approach. It also reveals that since environmental, effective operational efficiencies can be mitigated through the participation of collaborative stakeholders and the refusal of the reduction, reuse, reduce, and recovery cycle (RTI). As such, these insights provide insight into the practical applicability to restaurateurs, policymakers and sustainability advocates for a greener future for the hospitality sector.
Copyright (c) 2025 Ram Paudel, Vahick Yedgarian, Laba Kumar Shrestha, Mohammed Imam Hossain Tarek, Anamul Haque Sakib, Anita Pokhrel (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Green Human Resource Capabilities and ESG-Aligned Circular Economy Practices for Sustainable Supply Chain Management
This study explores the development of green human resource capabilities to facilitate ESG-aligned circular economy practices within sustainable supply chain management, addressing the critical gap between workforce competency development and environmental sustainability implementation. Using an integrated framework of organizational learning theories with sustainability practices, however, an examination would be made into capability development mechanisms by systematic literature review and practical implementation strategies. Organizations creating integrated green HR capabilities reflect stronger environmental performance while engaging stakeholder's vis-a-vis organizational learning capacity. The study identifies major competency dimensions and implementation pathways for sustainable transformation. This research provides organizations with operational frameworks to develop human capital to support circular economy practices, thus guiding HR professionals and sustainability proponents to develop learning and development programs. The study extends new knowledge linking organizational learning and environmental sustainability through human resource capability development, thereby filling a theoretical gap in sustainable supply chain management literature.
Copyright (c) 2025 Viraj P. Tathavadekar, Nitin R. Mahankale (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Application of Semigroup Theory in Modeling Structural Equivalence in English Sentence Patterns
Combining semigroup theory with the formal modeling of structural equivalence in English sentences patterns is the target area of this paper. In this study, we create a semigroup representing the grammatical structures of a given sentence NP, VP, PP and other relevant grammatical categories drawn from English abstract algebra and formal language theory. The sentences formation can be modeled as binary operations on sets, which in this context we call syntactic concatenation. Thus, the whole set of sentential patterns that are syntactically valid constitute a semigroup under associative composition. Moreover, we define an additional equivalence relation over syntactic parse trees to define congruence’s over a semigroup, which further demonstrates algebraic structures on parsed trees. Through this process, one can classify sentences based on equivalence classes regardless of their lexical constituent irrespective their verbal content defining classes through grammatical structure using which gives it lexical freedom. This method allows for mathematically rigorous frameworks while identifying and comparing disparate sentence forms which could serve potential grammar learning or simplification algorithms in computation linguistics offer profound intersects between algebra and linguistics broadening paradigms for modeling natural language based on its structures.
Copyright (c) 2025 Nazra Zahid Shaikh, Zehra Ambreen, Sarwar Jahan Abbasi (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Digital Leadership for Sustainability: An Integrated Framework for Organizational Learning, Resilience, and Social Value Creation
The framework intended to provide a broader view of sustainable leadership development in digital learning organizations, considering the global need for leaders who coordinate technological innovation with environmental and social inclusivity. The design and method of the framework tend to have a multidimensional package, working between theoretical analysis and the application of implementation strategies, analyzing contemporary organizational challenges alongside stakeholder methods and approaches for sustainability integration. The framework comprises four volumes: Digital Leadership Competencies, Sustainability Integration, Organizational Learning Adaptation, and Stakeholder Engagement Partnerships. The organizations practicing these approaches have become flexible and innovative through an increase in social impact and enjoy job satisfaction in the process. The paper proposes an original framework, systematically linking digital transformation capabilities to sustainability leadership, and offers ways to train leaders who can address complex contemporary issues and promote UN Sustainable Development Goals. The framework literally guides organizations and HR in building a leadership style that sustains organizational performance and generates a higher social impact. Its implementation supports community development through stakeholder engagement and inclusivity. Since the framework never had empirical support, its generalizability remains to be tested in industry-specific studies.
Digital Twin Architecture for Scope 3 Emission Transparency in Sustainable Supply Networks
The escalating urgency of climate change mitigation has intensified corporate focus on comprehensive supply chain emission monitoring, particularly Scope 3 emissions which represent 70-90% of organizational carbon footprints. Traditional emission tracking methods prove inadequate for managing complex, multi-tiered supply networks, creating an urgent need for innovative technological solutions. This research investigates how digital twin architecture transforms Scope 3 emission transparency through dynamic virtual representations of physical supply networks. The study employs a comprehensive literature review and case analysis methodology, examining implementations across automotive, consumer goods, and technology sectors. Our four-stage framework encompasses data acquisition and integration, virtual modeling and simulation, real-time monitoring and analytics, and predictive optimization capabilities. Findings demonstrate that digital twin technology enables unprecedented supply chain visibility, facilitating proactive environmental management rather than reactive reporting. Organizations implementing digital twins report enhanced decision-making through granular emission data, improved regulatory compliance, optimized transportation routes, and dynamic supplier selection based on environmental performance. Strategic benefits encompass strengthening relationships with stakeholders, competitive market advantages, and support for setting science-based targets. However, implementation challenges relate to the complexity surrounding data integration across the almost impossibly varied supplier networks, huge infrastructure investments at the start, resistance from within regarding the transformation by technology, and privacy concerns on that information that is considered sensitive in the supply chain bureaucracy. The overall picture of adoption includes partnering collaborations, phased implementation approaches, standardized data protocols, and sharply vertical governance frameworks. This research offers new insights on technology-enabled solutions for sustainability while offering actionable advice for practitioners. Future lines of inquiry should consider an industry-oriented framework, standardization protocols, and longitudinal environmental impact assessments to empower digital twin applications for sustainable supply chain transformation.
Defected Ground Structure Microstrip Patch Antenna Design for Radio Frequency identification (RFID) and Wireless Communications
The future of wireless communications such as WLAN (IEEE 802.11ah), radio frequency identification (RFID), wireless sensor networks, structure health monitoring, and home automation will integrate defected ground structure (DGS) antennas. The proposed design having defected ground structure (DGS) antenna design suited for RFID and wireless system operation. Working at 1.96 GHz, this DGS antenna has an exceptional return loss of -31 dB against antenna I which is having frequency of 1.93 GHz and a return loss of -13 dB. The SAR analysis factor proves its appropriateness for human-friendly. This study supports the feasibility of the antenna for improving the performance and ability of the system with the functioning of the ultra-high frequency (UHF) frequency range with the help of simulation and fabrication.
Copyright (c) 2025 Muhammad Azeem Aslam, Hina Maryam (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
An Evaluation of Green Logistics for Corporations a Stakeholder’s Approach: A Case of Nigeria
The studies will concentrate on the following areas: green logistics, transport corporations, SMEs, in addition to their impact at the surroundings, society, and the circular monetary concepts and education in Nigeria. although earlier research on the subject exists, only some have been centered on the field of inexperienced logistics in Nigeria. Green logistics is essentially studied in literature inside the global context, but little or no studies exists if you want to better apprehend what the role of inexperienced logistics is in sustainable development. This research fills an opening in previous research with the aid of exploring the phenomenon of inter-company green logistics training and call for in a real deliver chain context. The theoretical basis of this studies could be Stakeholder’s principle, which is a theory of organization control and business ethics that addresses morals and values in coping with an enterprise. companies may be searching to communicate their environmental performance to outside stakeholders, but may not always discover this clean to do because they will lack full information of the merchandise, methods, and materials flowing through their supply chains. The drivers, barriers, and blessings of implementing those practices in Nigeria will be explored and a framework could be drafted for organizations, SMES, the environment, economics, and society.
Copyright (c) 2025 Samuel Ahmed Balami (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
A Case Study of a Healthcare System in The North East Nigeria: Supply Chain Innovation as A Sustainable Strategy for Health Care Operation in Nigeria
Prolonged fighting and insecurity in Nigeria's North-East have greatly damaged healthcare systems, so aggravating already-existing problems in supply chain management and limiting access to vital medical commodities. This case study looks at how supply chain technologies are applied as a sustainable solution for healthcare activities inside this difficult setting. Concentrating on a particular regional healthcare system, we examine the key tactics that the Nigerian health industry should emphasis in order to attain supply chain innovation success, how technology innovation help in Nigerian Healthcare operations. Use and effect of innovative techniques distribution strategies. The research investigates how these advances improve the equity, resiliency, and efficiency of healthcare supply chains, hence increasing medicine and medical equipment availability. Initial results indicate that negotiating the particular logistical challenges in conflict-affected areas depends on strategic investments in data analytics, last-mile delivery systems, and local capacity development. Highlighting the potential of these creative approaches to not only repair but also improve healthcare delivery, the abstract concludes with a roadmap for sustainable healthcare activities in Nigeria and other sensitive. The research contributes to the discourse on global health equity by presenting a contextual understanding of how supply chain innovation can mitigate health disparities in resource-constrained and conflict-affected regions. It also emphasize the limitations for this research that actually can be done more, sociopolitical instabilities, and endemic public health challenges. Furthermore, by evaluating real-world implementation, this study underlines the practical feasibility of transformative supply chain frameworks across similar developing nations.
Development of an IoT-Based Smart Vacuum Cleaner Controlled via NodeMCU for Autonomous Home Cleaning Solutions
This paper presents the development of an IoT-based smart vacuum cleaner using NodeMCU, aiming to enhance the efficiency and autonomy of household cleaning. The IoT integration allows the vacuum cleaner to be remotely controlled via a mobile application, enabling users to start, stop, schedule, and monitor cleaning tasks from anywhere. The system utilizes various sensors, including ultrasonic sensors for obstacle detection, infrared sensors for navigation, and dust sensors to identify dirty areas for targeted cleaning. The NodeMCU microcontroller, known for its low cost, low power consumption, and Wi-Fi connectivity, serves as the central hub for sensor data processing and communication with the mobile app. A custom cleaning algorithm enables the vacuum cleaner to autonomously navigate the environment, avoid obstacles, and optimize cleaning coverage. This paper details the system’s architecture, hardware design, and software development, followed by a thorough evaluation of the vacuum cleaner’s performance, including cleaning efficiency, navigation accuracy, and sensor effectiveness across different floor types. The mobile application’s user interface is also assessed for ease of use and functionality. The results show that the IoT-based vacuum cleaner performs well in open spaces, with minor limitations in complex environments like tight corners or cluttered areas. The paper concludes with suggestions for future improvements, including better sensor calibration, enhanced navigation algorithms, and integration with other smart home devices, to increase the vacuum cleaner’s performance, adaptability, and overall user satisfaction.
Copyright (c) 2025 Sumit Kushwaha (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Enhanced Particle Swarm Optimization for Automated Compatibility Testing in Cloud-based Distributed Systems
Ensuring software compatibility in cloud-based distributed systems presents significant challenges due to the heterogeneous nature of cloud environments and the complexity of distributed architectures. This paper proposes an enhanced particle swarm optimization (PSO) approach for automated compatibility testing that addresses the limitations of traditional testing methods. The methodology integrates improved PSO algorithms with TLA+ formal verification and Jepsen distributed testing frameworks, incorporating dispersion adjustment mechanisms to prevent premature convergence and enhance testing coverage. Key improvements include adaptive weight adjustment, collision radius optimization, and fitness function modification based on branch path coverage metrics. Experimental validation demonstrates significant improvements in compatibility testing efficiency, coverage breadth, and system robustness across diverse cloud computing environments. The proposed approach effectively optimizes software performance and reliability while ensuring seamless operation of distributed systems in dynamic cloud infrastructures.
Copyright (c) 2025 Dai Li, Weishuo Lan (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Collaborative Metacognitive Scaffolding for Interdisciplinary Project-Based Learning: A Transformer-Augmented Framework with Real-Time Disciplinary Convergence Analysis
We propose a novel framework for interdisciplinary project-based learning that integrates real-time collaborative metacognitive scaffolding with transformer-based analysis of disciplinary convergence. The conventional approach to interdisciplinary collaboration often lacks structured mechanisms for metacognitive reflection and dynamic feedback, leading to fragmented knowledge integration and suboptimal team performance. Our system addresses this gap through three interconnected components: a metacognitive annotation layer that captures disciplinary perspectives and confidence levels, a cross-disciplinary integration analyzer that quantifies conceptual synthesis using a novel Disciplinary Convergence Index (DCI), and a collaborative workflow optimizer that generates adaptive prompts and peer-matching recommendations. The framework employs a fine-tuned GPT-4 model to process student reflections and produce integrative insights, which are visualized in a shared digital workspace alongside real-time DCI metrics. Furthermore, the system dynamically adjusts project guidelines and mentorship interventions based on detected integration barriers, thereby fostering deeper interdisciplinary synthesis. Experiments demonstrate that the proposed method significantly improves team cohesion and conceptual integration compared to traditional project-based learning environments. The contributions include a scalable architecture for metacognitive scaffolding, a quantitative metric for interdisciplinary convergence, and a practical implementation combining collaborative tools with AI-driven reflection analysis. This work advances the design of learning systems by bridging the gap between metacognitive awareness and interdisciplinary collaboration in project-based settings.
Interdisciplinary Project-Based Learning
Copyright (c) 2025 Yiming Wang, Yuanxing Dou (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
The Merdeka Curriculum and Local Wisdom: An Innovative Synergy in Shaping Student Character in South Sumatra, Indonesia
Character education is a crucial aspect in shaping a generation with integrity amidst global challenges. The Merdeka Curriculum emerges as an educational innovation offering flexible learning approaches; however, the integration of local wisdom in strengthening student character remains underexplored systematically. This study aims to explore how local wisdom can be synergized in the implementation of the Merdeka Curriculum to enhance character education at the junior high school level. Using a descriptive qualitative approach, data were collected through observations, interviews with teachers, and document analysis in three junior high schools in Indonesia. The findings reveal that the incorporation of local values such as gotong royong (mutual cooperation), musyawarah (deliberation), and tolerance in both intraclass activities and the Pancasila Student Profile strengthening projects contributes to contextual character development among students. These results underscore the importance of culturally-based curriculum development as the foundation for character education. The implication is that schools need to design adaptive learning strategies aligned with local contexts to realize relevant and meaningful education.
Merdeka Curriculum, Local Wisdom, Character Education, Junior High School, South Sumatra
Copyright (c) 2025 Zainuddin Zainuddin (Author) https://creativecommons.org/licenses/by/4.0
Impact of Sowing Dates on the Growth and Yield Performance of Modern Wheat Varieties Under the Argo-Climatic Conditions of D.I. Khan
A field experiment was conducted to assess the impact of different sowing dates on the growth and yield of various wheat varieties under irrigated conditions at the Agronomic Research Area, Gomal University, Dera Ismail Khan, during 2013. The study was arranged in a Randomized Complete Block Design (RCBD) with a split-plot layout and three replications. Sowing was done manually using a hand-driven drill. The net plot measured 1.8m × 5m, comprising six rows, each 5m long and spaced 30cm apart. Factor A represented sowing dates, while Factor B included different wheat varieties. The findings indicated significant effects of both sowing dates and wheat varieties on growth and yield parameters. The most favorable results were obtained from the October 25 sowing, which recorded the highest values for days to heading (101.25), spike length (9.45 cm), tiller density (316.94 m²), biological yield (11.58 t ha⁻¹), grain yield (6.29 t ha⁻¹), and grain filling duration (79.75 days). In contrast, wheat sown on December 5 produced lower yield parameters. Among the tested varieties, Pirsabak-13 achieved the highest grain yield (6.29 t ha⁻¹) when sown on October 25, followed by Hashim-8 (6.42 t ha⁻¹) when sown on November 15. Gomal-8 yielded the lowest grain output (3.43 t ha⁻¹) when planted on December 5. Based on these results, it is recommended that wheat cultivation in Dera Ismail Khan should be conducted between October 25 and November 15, with Pirsabak-13 being the most suitable variety for early sowing, while Hashim-8 and Gomal-8 should be grown at their optimal sowing times.
Wheat, Sowing Dates, Yield Performance, Agro-Climatic Conditions
Copyright (c) 2025 Rashid khan, Haris Khan (Author) https://creativecommons.org/licenses/by/4.0
Mechanism Design and Policy Effect Evaluation of Digital Economy Empowering Rural Revitalization
Digital economy promotes the optimization of rural industrial structure and the innovation of governance methods by means of big data, Internet of Things and artificial intelligence, driving the level of agricultural modernization and the efficiency of rural social governance. By building a model of digital empowerment mechanism, this paper analyzes the application of digital economy in agricultural production, industrial integration and rural governance, considers the difference in the effect of policy combination in rural revitalization, and puts forward strategic opinions on policy implementation optimization. Digital economy actively promotes rural industrial upgrading and realizes social governance modernization, significantly improves the efficiency of agricultural production and farmers' income level, and strengthens the strength of rural sustainable development.
Digital Economy, Rural Revitalization, Mechanism Design, Policy Effect, Industrial Upgrading
Copyright (c) 2025 Weili Lin, Guang Hu (Author) https://creativecommons.org/licenses/by/4.0
The Impact of Population Aging on Regional Economic Growth and Adaptive Reforms of the Social Security System
The intensification of population aging has posed multifaceted challenges to regional economic growth, urgently necessitating comprehensive reforms in the social security system. Confronting the declining regional economic vitality, shrinking labor supply, and escalating social security expenditures under the aging trend, this study proposes strategic solutions including establishing a multi-tiered pension system, implementing delayed retirement policies, and improving integrated medical-care support systems. Through innovative fiscal mechanisms and coordinated regional economic development approaches, the research aims to achieve adaptive optimization of the social security system in the aging context, thereby promoting stable regional economic growth and enhancing social welfare.
Population Aging, Regional Economic Growth, Social Security System Reform, Pension Insurance, Integrated Medical-care Services
Copyright (c) 2025 Meng Wang, Lei Wang (Author) https://creativecommons.org/licenses/by/4.0
Transformation Features of AI-Driven Management Decision-Making Models
The rapid development of artificial intelligence (AI) is reshaping management decision-making models. Through big data analytics, machine learning, and intelligent algorithms, enterprises can promptly access market dynamics, enabling accurate forecasting and scientific decision-making. By building intelligent decision-making models, businesses can enhance resource allocation efficiency and improve risk warning capabilities. Managers are thus able to respond swiftly to market fluctuations, optimizing management processes and reducing operational costs. While intelligent decision-making significantly boosts efficiency, it also introduces potential risks such as data security concerns, algorithmic bias, and technological dependence. Establishing multi-layered risk prevention mechanisms and enhancing managers’ algorithmic literacy are essential strategies to address uncertainties in AI-driven decision-making and to promote a more scientific and stable management model.
Artificial Intelligence, Decision-Making Model, Machine Learning, Risk Prevention, Intelligent Management
Copyright (c) 2025 Na Wang (Author) https://creativecommons.org/licenses/by/4.0
Building and Dynamic Evolution of Enterprise Cross-Border Innovation Capabilities in the Context of Cross-Industry Integration
Under the background of cross-industry integration, enterprise innovation capability has gradually transformed into the core driving force for improving competitiveness and adapting to market changes. This paper analyzes the mechanism of cross-industry integration driving enterprise innovation capability, builds a model system of cross-border innovation capability, and provides a practical path to improve innovation capability under the situation of cross-industry integration. Combining literature review and typical case study, this paper explores the way to build enterprise cross-border innovation capability and its dynamic evolution characteristics, studies the evolution law and key influencing factors of innovation capability in different environments, and constructs a dynamic management strategy with significant adaptability and good flexibility to enhance the enterprise's lasting competitiveness and collaborative innovation level in a complex market environment. The research results provide theoretical basis and practical guidance for enterprises to formulate innovation strategies and build collaborative mechanisms in multi-dimensional integration scenarios.
Cross-Industry Integration, Innovation Capability, Dynamic Evolution, Enterprise Competitiveness, Collaborative Innovation
Copyright (c) 2025 Jianguo Zhang (Author) https://creativecommons.org/licenses/by/4.0
Optimization Path and Effectiveness Evaluation of Differentiated Instruction Strategies in Education
Differentiated instruction plays a pivotal role in modern educational practice. By tailoring teaching methods and employing diverse pedagogical approaches, it effectively addresses individual student differences, fostering personalized development and enhancing comprehensive competencies. Through literature review, case studies, and empirical research, this study establishes a scientifically grounded optimization framework for differentiated instruction, encompassing differentiated objectives, content, methodologies, and assessments. During implementation, strategies such as flexible goal-setting, evidence-based method selection, optimized content organization, and multidimensional evaluation have proven effective in stimulating student engagement, improving autonomous learning capabilities, and elevating overall teaching efficacy. The application of differentiated instruction not only promotes holistic student development but also provides practical guidance for enhancing teachers' instructional proficiency.
Differentiated Instruction Strategies, Personalized Development, Teaching Optimization Path, Empirical Research, Comprehensive Competency Enhancement
Copyright (c) 2025 Jing Li (Author) https://creativecommons.org/licenses/by/4.0