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Development of Nanotechnology for Manned and unmanned Aircraft: Perspectives on Jet Engines, Fuels, spacecraft, AI, and Sustainability
These days, nanotechnology has provided an enormous benefit to the aviation and aerospace industries for improved manufacturing, spacecraft, fuels, health, and more. The objective of this paper is to review and propose a higher level of nanotechnology development in the aviation industry. While space exploration and tourism have brought about an appreciation for Earth\u27s environmental changes from space, numerous criticisms have indicated the large negative impact space travel has made on the environment. Here,�
nanotechnology is offered as a field that can both improve space tourism and decrease its impact on the Earth�s environment. Specifically, this paper starts with a review of what material properties are needed for space exploration and then suggests the use of nanotechnology in the development of improved composite materials for jet engines, propulsion, and durability, considering aeronautical standards and aerospace developments, introducing the implementation of artificial intelligence (AI). This research includes aerospace and aeronautical industry��
manufacturers, their new nanotechnological strategies and breakthroughs, as well as failed attempts during manufacturing or� operations. Addressing the failures, this research indicates possible future steps for developing nanotechnology in unmanned and� manned aircraft to reduce harm to the environment while still� achieving space exploration.�
Advanced Robotic Multimodal Imaging with Real-Time Motion Compensation for Dynamic Structural Health Monitoring
Modern composite materials promise superior performance and load-bearing capabilities, yet evaluating their structural integrity remains challenging. Current testing methods, such as visual, thermographic, ultrasonic, optical, electromagnetic, terahertz, shearography, X-ray, and neutron imaging, are hampered by long scan durations, limited field of view, suboptimal accuracy, and high costs, particularly when applied to large structures.
This paper addresses these issues by introducing a novel robotic multimodal imaging system that overcomes the limitations of traditional methods. This system dynamically captures both static and dynamic properties of materials using advanced motion compensation techniques. By integrating multiple radiographic modalities into a coordinated robotic platform, it provides rapid, high-resolution imaging of composite materials of large structures without the need for disassembly.
The system was validated through simulations of a four-robot radiograph setup, treated as two single-plane systems. The 3D position and orientation of a cube phantom were determined by generating computer-based digitally reconstructed radiographs from a computed tomography model and applying a 3D line intersection method based on known imaging geometries. Comparisons between marker-based and markerless kinematics tracking methods yielded differences of only 0.03 mm in translation and 0.06� in rotation.
These findings demonstrate that the proposed system significantly reduces scan times and enhances accuracy, offering a robust, scalable solution for dynamic inspection in diverse fields such as aerospace and medical device manufacturing
Design of a Real-Time, Multilingual, Emotion-Aware Cyberbullying Detection System using Multi-Teacher Knowledge Distillation and Explainable AI
Social media cyberbullying has propagated rapidly and is being experienced by individuals worldwide. It tends to be expressed using sarcasm, emotional language, and multiple languages, making it difficult to determine the identity of the perpetrator. Although automated detection systems are becoming increasingly prevalent, the majority of existing systems suffer from language issues, function only in offline batch mode, and are black-box models that cannot be interpreted. These constraints make it more difficult to intervene with speed and transparency.
This paper offers a real-time, multilingual system for detecting cyberbullying, using explainable AI, emotion and sarcasm detection, and Multi-Teacher Knowledge Distillation (MTKD) to address shortcomings.
The system leverages an ensemble of transformer-based teacher models, like mBERT, XLM-R, and IndicBERT, to capture language-specific features. Then, the models collaborate to produce a lightweight XG Boost classifier. To assist with the interpretation of context, additional layers are incorporated to identify sarcasm and emotion. SHAP (SHapley Additive Explanations) is employed to provide each prediction token-level interpretability. Algorithmic and architectural design of a system that would form a transparent, efficient, and deployable solution to detect cyberbullying in different emotional and linguistic contexts is the focus of this study
The Relationship between Consciousness and Linguistic Data to Formalize
This study seeks to formalize the relationship between consciousness and linguistic data through a symmetry-based approach. It proceeds from the assumption that consciousness as a biological fact and linguistic structures-especially their formally describable patterns�are mirror images of one another. The structures of conscious linguistic composition are reflected in the organization of linguistic data, while formal linguistic patterns can be traced back to the inner, rhythmic, and symmetrical architecture of consciousness. To map this relationship, the study integrates the methodological toolkits of three coequal fields: computational linguistic encoding, rhythm-based phonology, and the historical investigation of linguistic melody.
The computational linguistic encoding relies on a custom-developed system that classifies syllables within words by typology and position. At the core of the model stands a center�periphery principle: vowels constitute the center of the structure, encircled by concentrically arranged consonants. This symmetry-based approach enables precise formal annotation of the internal structure of syllables and sheds light on recurring patterns in phonological organization. The classification introduces 55 syllable types grounded in five basic structures (e.g., open, closed, reduced, etc.), augmented by positional labelling that records whether a syllable is word-initial, word-medial, or word-final
Cybersecurity Threats and Their Impact on Financial Inclusion Drivers in Nigeria
This research examined the intricate relationship between cybersecurity threats and financial inclusion in Nigeria, providing novel insights into their dynamic interplay. Considering the staggering growth of cyber frauds targeting financial inclusion drivers in Nigeria, it has become critical to understand the impact of cybersecurity threats on financial inclusion, as inclusive finance is paramount for fostering comprehensive economic development. This study examined the relationship between cybersecurity threats and the demand/supply sides of financial inclusion. The data used were sourced from reputable institutions like the Nigeria Electronic Fraud Forum (NeFF) and the World Bank Development Indicator. The hypotheses of the study were robustly tested using three estimation techniques, which include Ordinary Least Squares (OLS), Two-Stage Least Squares (2SLS), and Generalized Method of Moments (GMM). Key findings challenged conventional wisdom, revealing unexpected relationships between cybersecurity threats and financial inclusion. Contrary to prior assumptions, a positive long-run relationship is revealed between cybersecurity threats and the demand side of financial inclusion. Additionally, cybersecurity threat has a significant influence on the supply side of financial inclusion. The study thus recommended a revised, robust, and innovative cybersecurity framework for the Nigerian financial sector. It also suggested a review of the theory of production to validly include digital/financial technology as the latest (fifth) factor of production to enable academia, practitioners, and indeed all other stakeholders to understand its features, merits, and demerits, and therefore be able to combat its inherent risks safely
Appian Applications in Supply Chain
�Business Process Management platforms are vital enablers supporting the efficient optimization of global supply chains because they provide fast application development, solid process automation, and end-to-end real-time visibility. It is thus crucial to explore the development of Appian solutions specifically customized to supply chain teams, assess the natural positive side of choosing to develop solutions within a BPM-based system, and the strategic justification of investing in low-code BPM solutions across the enterprise-level Appian. The analysis based on three trusted sources only allows for the synthesis of the results. It reveals how the visual modeling interface, inbuilt robotic process automation functions, and analytics dashboards provided by Appian facilitate and simplify the core supply chain functions, such as procurement, inventory management, and logistics coordination, ensuring visible gains in cycle times, data accuracy, and decision-making agility. The facts point to the fact that the organizations embracing Appian realize its substantial manual work reduction, decreased time to markets, and speedy investment returns
Incorporating Making to Yourselves Friends of the Mammon of Unrighteousness into Business Ethics Education: A Theological Ethical Perspective on Teaching Capital Stewardship
This study explores how theological ethics can enrich business ethics education, using the biblical injunction in Luke 16:9��make to yourselves friends of the mammon of unrighteousness��as a framework for teaching capital stewardship. In Nigeria, business ethics has long struggled with challenges such as corruption, greed, and corporate scandals, which weaken both economic progress and public trust. Traditional business education often prioritizes technical competence and profit maximization while neglecting moral formation. As a result, many graduates remain vulnerable to covetousness and unethical practices. This paper argues that theological ethics�especially the principle of stewardship�offers a transformative approach to reorient business education toward accountability, integrity, and social responsibility.By presenting wealth as a divine trust, students can begin to view profit not merely as personal gain but as a tool to promote justice, fairness, and sustainable development. The study also acknowledges the challenges of embedding theological perspectives in secular curricula, including resistance from curriculum designers, the misuse of prosperity theology, and concerns about inclusivity in Nigeria�s religiously plural society. Despite these obstacles, the research contends that integrating stewardship into business curricula can foster ethical leadership, reduce materialism, and promote transparency in economic management. The paper concludes by recommending curriculum reforms, interdisciplinary teaching, and policy support that align theological insights with professional standards. In doing so, it envisions a generation of business leaders who pursue wealth with responsibility, transforming resources into instruments for communal well-being
“Difficult Joy” in Mountain Tourism: Rethinking Experience through Energy Flow toward a Physical, Emotional, and Cognitive Bidirectional Model of Energetic Exchange
This study explores mountain tourism as a multidimensional and dynamic phenomenon, integrating insights from literature, primary research, and interdisciplinary theory. Drawing from 453 survey responses and 16 international conferences (1998�2024), the research identifies eight foundational principles that shape mountain tourism, emphasizing sustainability, seasonality, and human transformation. The tripartite model�physical, emotional, and cognitive�frames tourism as an energetic exchange between the Individual and the Whole, oscillating between relaxation and exertion, self-confirmation and self-transcendence.
Factor analysis reveals two meta-factors: relaxation/ease and exercise/difficulty, which correlate with demographic variables such as age, gender, income, and education. The study proposes a conceptual framework based on energy flow, defining tourism as a pursuit of joy expressed through material, emotional, and cognitive transformation. It distinguishes between individual-centered (passive) and whole-centered (active) tourism work, linking harmonious energy exchange to health and sustainability, and imbalance to pathological conditions.
Recommendations include designing balanced experiences, fostering community engagement, and developing educational initiatives. Future research directions involve modeling tourism as a system of oscillating dipoles and constructing a dynamic personality theory rooted in cognitive, emotional, and behavioral dimension
Flaps vs. Wet Dressings for Fingertip Injuries in Occupational Patients
Fingertip injuries are common injuries in hand pathology and sometimes extremely disabling (1). The main objective of treatment is to achieve a functional and cosmetic result with adequate thickness of the pulp, digital length (2,3,4), recovering distal sensitivity and function, with a prompt return to the work environment. Depending on the type of injury, several options are available in the literature (5). When reimplantation is not possible due to anatomical or logistical reasons, local or regional flaps are a useful alternative to obtain early coverage (4). In this work we contemplate the use of wet dressings (semi-occlusive bandage) as a definitive treatment for finger injuries with or without bone exposure, since we achieve optimal results in the short term (6 months) with this method. The objective of this work is to compare the results obtained in the treatment of these injuries with the methods used in our environment
Clinical and Histological Findings Following a Single Session of Recombinant Enzymes Applied to the Abdomen of Patients with Fibrosis Sequelae from Liposuction
Introduction: Liposuction is the most commonly performed plastic surgery, aimed at improving both the physical appearance of patients and their self-esteem. However, like any surgical intervention, it can present complications. One of the most frequent is contour irregularity, which, although not usually severe, has both physiological and aesthetic implications for the patient.
Objective: The general objective of the research is to observe the histological and clinical changes in the abdominal skin of five women who developed fibrosis as a complication of an abdominal liposuction performed more than two years ago, following a single application of recombinant enzymes. This will be done by describing these changes, analyzing the relationship between clinical and histological findings, and comparing the results before and after the enzyme application.
Methods: The study is a descriptive longitudinal one, conducted on 5 women between the ages of 33 and 60 with post-liposuction fibrosis, without previous treatments except for massages and radiofrequency. The cases were selected through simple random sampling. Both photographic records and biopsies were taken before and after the enzyme application.
Results: The results showed significant clinical improvement in skin quality and texture, with a reduction in lumpiness and contour regularization. Histologically, a decrease in collagen basophilia and inflammatory response was observed, as well as a decrease in fragmented elastic fibers and an increase in intact elastic fibers. Regarding collagen fibers, greater integrity and homogeneity were noted.
Conclusion: The application of recombinant enzymes resulted in significant clinical and histological improvements. This treatment proved to be safe, reliable, and easy to apply, with high patient satisfaction, suggesting its potential to replace more invasive treatments in the management of post-liposuction fibrosis