Journal of Engineering and Applied Sciences Technology
Journal of Engineering and Applied Sciences Technology is an open access peer-reviewed journal from the publishers of Scientific Research and Community (SRC) which publishes articles in the form of written, video and power-point presentations from the arena of Engineering and Applied Sciences Technology. The journal focuses to build up accessing the complete content of articles freely from online for reader’s perusal. Article acceptance will be in the form of Research, Review, Case Reports, Analysis, Magazines, Editorials, Opinion, Communications, Mini-Review, Short Communications, Picturized, Book Review, Video Type and Power Point Presentations (PPTS). Articles can be submitted through online from https://www.onlinescientificresearch.com/submit-online or can send through an e-mail with attachment for Email: appliedengineering@onlinescientificresearch.info or jeast@onlinescientificresearch.net
‘Clifford Algebra’ Complex Numbers For 3-D Vector Representation
The use of quaternions has historically been an approach to extend complex numbers to represent 3-D vectors. This quaternion representation is not unique. It is shown that an alternative approach to such an extension is to define complex numbers obeying a Clifford algebra different from those of quaternions. Such an algebra is not new but appears to be preferable and less likely to cause confusion.
Copyright (c) 2025 Journal of Engineering and Applied Sciences Technology
Future-Proofing Coastal Cities Against Sea Level Rise: Adaptation Strategies
This paper examines comprehensive adaptation strategies for American coastal cities facing accelerating sea level rise (SLR) in the 21st century, with specific focus on five vulnerable urban centers: Miami, Florida; Norfolk, Virginia; Charleston, South Carolina; New Orleans, Louisiana; and Houston, Texas. Current projections indicate 10-12 inches (25-30 cm) of sea level rise along U.S. coastlines by 2050, with potential for significantly higher levels by 2100 depending on global emissions trajectories. The paper evaluates integrated approaches combining engineered defenses, nature-based solutions, policy frameworks, and managed retreat options tailored to the unique geographic, economic, and social characteristics of each city. Multiple case studies demonstrate that successful adaptation requires multi-stakeholder collaboration, substantial investment, innovative financing mechanisms, and strategic long-term planning. The research concludes that while technical solutions exist to protect critical infrastructure and communities in the near term, their viability diminishes as sea levels continue to rise, necessitating transformative approaches to coastal urban development and management for true long-term resilience.
Conservation of Energy and Momentum of Drifting Electrons in Materials
In this research article, conservation of energy and momentum of drifting electrons in materials is expressed in a differential equation form. The equation is derived starting with Einstein’s mass-energy equivalence relation of 1905 for relativistic masses. The equation is valid for both small and large objects. Conservation of momentum is added to the equation and it is shown that Noether’s theorem is asserted. The drift velocity in metals is drastically reduced due to the much higher electron effective mass in metals.
Ecological Contribution to the Replacement of Artificial Coral Reef Settlements Using Concrete Structures made with Hybrid Cements
Studies indicate that artificial reefs for coral reef restoration are often based on concrete structures, and the insertion of these structures is lately produced with hybrid cements that add common Portland cement and other new slag-based cements, as complementary elements in the set of essential raw materials for the study, production and installation of artificial marine reefs, contributing in a stable way to the development of its fauna and flora in a safe and sustainable way, given the use of in situ monitoring processes that combine the obtaining of results from the experiments, regarding their physical and mechanical characteristics in situ. The application of concrete in reef restoration has several benefits, among which are durability, stability, safety, availability and flexibility of the shape and its chemical composition like the reef substrate. Constant global variations in coral protection have led to a call for global climate action, for better management of critical places such as overfishing and pollution, as well as an increase in efforts aimed at recovery. The reconstruction of coral reefs has been carried out on smaller scales and experimental actions, leaving ample field for new options. The underwater environment of coral islands contains concrete structures of different designs and geographical origins, characterized by an open pattern, deposited as cages on mats based on the seabed, creating a zone of biological equilibrium. The use of these large rigid structures allows the marine environment to be protected from illegal trawling movements, contributing to the recovery of biological diversity in areas of compatible depths, without the force of extreme currents as well as the absence of extreme climatic conditions, to ensure the durability of the structures. In a different way, in coral maintenance is applied, where corals are first grown in nurseries and then planted on recovered or artificial reefs, given that artificial reefs have different shapes and materials, emphasizing concrete as more specified and applied.
The Effect of Soybeans Hull (Glycine Max), Beans Pod (Phaseolus Vulgaris) and Dry Willow Leaf (Salix Spp) on the Properties of aSimple Water -Based Mud
This study is aimed at investigating the effects of varying concentration temperature and aging time on the property of a water-based mud treated with agrowaste materials, (soybean hull, beans pod and dry willow leaf with CMC used as control. From the result, it was observed that the mud samples containing soybeans have the highest plastic viscosity with those with dry willow leaf the highest yield point. The effect of aging on the mud sample shows the plastic viscosity of each of the mud sample decreased with soybeans having the highest plastic viscosity. While the yield point and gel strength at 10 minutes and 10 seconds increased respectively with dry willow leaf having the highest yield point. The result of the fluid loss shows the mud samples treated with dry willow exhibiting the closet linear relationship with sample treated with CMC at room temperature, but as temperature increased samples with beans pod exhibited the closet linear relationship with that of the control.
We delve into the topology and morphology of the emergent time that arises from a electrons kinetic cloud virtually confined in a toroidal shape due to high-opacity environments. Different results using the most usual opacity models are shown. We analyze the dynamics that best represent such complexity, especially for stellar environments, focusing on the inner, mid and outer zones of the radiative layer. Detailed results of the expected induced Gravity, including their values and the time needed to be conserved over cosmological Time are shown. Then we extrapolate the results of the Gravity induced by the emergent time for different types of stars in function of their percentage per size and by mass, infering that the 95% of the Gravity created in the stars ranges from -43% till 19% of the emergent gravity arised in Sun-like stars. Finally we show how the variabilty of the gravitational constant could be demonstrated by experiments carried out on the Earth itself and how a new discipline “PaleoGravity” based on them could help us to study the origin of any chemical element present on Earth, the solar system and even asteroids.
Cloud adoption is now more of a multi-vendor solution rather than a single vendor solution, and multicloud solutions, whereby organizations have taken the services of more than one vendor to gain flexibility, resiliency, and performance. Oracle has now established a foothold in this spot with interoperability between the Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), and Microsoft Azure. Oracle workloads can be run directly on these platforms through projects such as Oracle Database@Azure and Oracle Database@AWS, as well as dedicated interconnect services, thereby reducing latency and avoiding vendor lock-in. The current paper covers the opportunities and challenges of Oracle multicloud interoperability. It investigates building patterns, performance benefits, costs, and risks in a qualitative study based on technical documentation and case studies. The findings show that the Oracle strategy has the potential to enhance the portability of the workloads, disaster recovery, and agility. It requires a prudent approach to governance and integration practices. The article sheds light on the contribution of Oracle to changing the enterprise IT strategy and offers advice to the association that has to work in multifaceted multicloud settings.
Formation of Organic Nitrates Mechanism of the Process
The analysis of the literature, including our works, was carried out, on the basis of which this review article was prepared. Previously, the direct (radiochemical) method proved the participation of nitrate ion in the anodic process - the oxygen evolution reaction (OER). Of interest was the possibility of accepting NO3 radicals formed during electrolysis by other anion-radical particles. Salts of acetic and propionic acids were chosen as model objects. It was found that during electrolysis of acetate-nitrate (system 1) and propionate-nitrate (system 11) mixtures, the pH of the medium significantly affects the selectivity of the reactions. In an acidic medium during electrolysis of both systems at high potentials, nitrate ion acts as a source of active oxygen, which is used to form molecular oxygen and destructively oxidizes alkyl groups. In a weakly alkaline solution, during the electrolysis of an equimolar mixture of system 1, ethane is formed, the current output (CO) of which drops sharply and reaches a value of ~30%, and a small amount of oxygen. A significant part of the current is spent on the oxidation of CH3 particles with the formation of carbon dioxide (CO~60%) and water. In a weakly alkaline solution, the process of system 11 differs from system 1 and is interesting in that during the electrolysis of an equimolar mixture of propionate and nitrate, products of the interaction of nitrate radicals and propionate particles are formed with the formation of organic nitrates. Based on the analysis of the data obtained by a set of methods, a mechanism for the formation of organic nitrates is proposed.
Moroccan Higher Education in the Era of E-Learning: Challenges and Future Directions
The digital transformation of education systems globally has led to the emergence of e-learning as a pivotal component of the teaching-learning ecosystem. The COVID-19 pandemic further accelerated this shift by necessitating abrupt transitions to online education for over 1.5 billion students and 63 million educators worldwide. This paper explores the evolution and significance of e-learning, particularly in the context of Moroccan universities, amidst the backdrop of a traditional education system. Through a comprehensive literature review, it delves into the various definitions and conceptualizations of e-learning, highlighting its multifaceted nature and the myths surrounding its implementation. Methodologically, the study adopts a rigorous approach, utilizing online questionnaires to gather insights into the current status, challenges, and potential enhancements of e-learning in Moroccan higher education. The findings reveal both the advantages and challenges associated with e-learning, offering a nuanced understanding of its impact on students and educators. Moreover, the paper provides actionable recommendations for improving e-learning experiences in Morocco, ranging from infrastructure development to pedagogical training and learner support mechanisms. Overall, this research contributes to a deeper understanding of e-learning dynamics in Morocco and offers pragmatic solutions for optimizing its utilization in higher education settings.
Fundamental LCZ Mapping with ArcGIS-Based Spatial and Correlational Analyses to Study the Impacts of Infrastructural Area Maximum Volume (A-MV) Attributes on OTC – An Urban Aw Summer Case
The aim of this study is to map the study location stretches into 100mx100m local climate zones (LCZs) on the basis of primary observations and secondary photographic data for spatial analysis of various urban infrastructural elements (grey(G)-built structures, blue(B)-water bodies and green (Gr)-natural vegetation) and impact assessment of their estimated area (EA) and maximum volume (EMV)) on the air temperature (Ta) that characterizes the outdoor thermal comfort (OTC). Climate Modification by Urban Infrastructure, Fundamental Concepts of Urban Infrastructure Mensuration Parameters, Fundamental Concepts of Urban Grey Blue Green Infrastructure (UGBGI) and Concepts Of OTC, Koppen Classification and LCZs are the linked areas. Study locations are based on socio-economic and geophysical attributes. Initial 200 pilot survey responses regarding thermal sensation votes and other subjective details were used. Preferred values of Physiological Equivalent Temperature (PET) and optimum Ta have been used. After the mapping in ArcGIS and polygonal delineation of the areas, EA values were compiled in tabular format. Based on primary measurements and secondary studies, a maximum height (hmax) value was assigned to each sub-category for EMV evaluation. Statistically, the EA and estimated perimeter (EP) values were analyzed using QQ, scatter plots, histogram and generate near table tools in ArcGIS. EA and EMV values were correlated with mean Ta values by linear regression. The R-square values generated gave a clear idea about the extent of their impacts on Ta. From the established relationships and preferred PET and optimum Ta values, optimum EA, EMV and hmax values of the broader categories(G,B,Gr) required for preferred OTC levels were finally evaluated.
Copyright (c) 2026 Journal of Engineering and Applied Sciences Technology
Here a concept for a new propeller is presented. Instead of a single point where a propeller blade is fixed with the aircraft or the ship, I suggest a long axis. The axis runs horizontally. The blades are long rods. They are fixed at one side with the axis. Contrary to the usual propeller, a single propeller blade can be used. The blades may have an arbitrary length. It is limited only by the axis.
Oxidation of Nitrate Ions at a Platinum Anode
The analysis of available works in the literature, including our own, was carried out, on the basis of which this review article was prepared. The interest shown in the processes of oxidative synthesis at high anodic potentials is associated with the production of various types of organic and inorganic, including mixtures of organo-inorganic compounds. The problem of electrochemical introduction of the NO3 group into the molecules of organic and inorganic compounds, which are valuable products used in various fields of technology, is relevant. The electrochemical route to the synthesis of such compounds is complicated by the fact that, unlike perchloric and sulfuric acids, the anodic behavior of NO3 - has not been sufficiently studied. One of the reasons for this is the impossibility of obtaining reliable experimental data when using electrochemical cells in which the interelectrode spaces are separated by a glass porous diaphragm. The products of cathodic reduction, penetrating through the diaphragm into the anolyte, are oxidized by oxygen formed at the anode and significantly affect the reliability of the data obtained, in particular, the current yield (CO) of oxygen. Electrochemical cells in which the interelectrode spaces are separated by cation-exchange membranes have been developed and manufactured for the first time. In this case, the possibility of reduction products getting into the anolyte is excluded, which leads to reliable results. Only electrochemical cells of a new design, allowing reliable data to be obtained, were used in the studies. The direct (radiochemical) method proved the participation of nitrate ions in the anodic process - the oxygen evolution reaction (OER). It is shown that NO3 ions participate in the OER in two ways. The analysis of the complex of the obtained data made it possible to propose a mechanism for the oxidation of nitrate ions.
AI-Driven Threat Detection and Response for Healthcare: Securing Patient Data in Cloud Environments
Several healthcare organizations have started adopting cloud services, which has led to the emergence of this issue, with patient data privacy and security being the most crucial. Current conventional security operating models are more reactive and based on rules that do not suffice in the case of new and more complex threats in large systems dealing with big data from EHRs, connected smart devices, and heavily used patient care access. This paper provides a detailed overview of threat detection and response systems in the healthcare sector through the help of a powerful Artificial Intelligence system. The system utilizes ML models trained on past intrusion data from cloud-native services such as Amazon SageMaker, AWS GuardDuty, and Macie. It performs realtime threat detection on the client’s network and responds to them effectively while adhering to HIPAA standards. Such technological components consist of Federated Learning, an advanced method of training Machine Learning models without compromising the data owner’s privacy, Behavioural Biometrics as an improved method of identification and authentications, and Blockchain technology to provide an unchanging record of events. Realizations of the framework were performed based on both artificial and real datasets of a hospital to show that it outperforms traditional systems with 97.2% average detection accuracy, 70% less false positive rates, and saved hours, whereas the meantime for threat detection was reduced to seconds. The study also discusses AI’s use in real-time compliance monitoring, eradicating compliance issues and operational expenses. There exist great prospects for the further improvement of health care information security utilizing AI as an instrument for advances in early, continuous, and scalable actualisation of patient data’s cloud; as for other considerable further studies, there are tendencies in explainable models, intelligence federation, and quantum insensitivity of information protection.
Exploring the Potential of 3D Printing Production Model to Promote Sustainable Development
Nowadays, in this volatile post-Covid era, there is an urgent need to develop new and more sustainable production models. The role of industrial production is crucial as it influences the EU economic resilience, it has a significant footprint on the environment while greatly affecting the social well-being of EU citizens. 3D printing is an expanding additive manufacturing technology with many applications in various industrial sectors. It involves the layer-by-layer fabrication of products through a CAD model or a 3D scanner output. The integration of 3D printing into the production process is increasingly attracting the interest of stakeholders. 3D printing technology provides access and participation in the production process to both producers and end-consumers. Despite the multitude of challenges, 3D printing is gaining ground, paving the way for innovative production while promising to promote a new model of sustainable industrialization The main question raised is whether 3D printing technology is a more sustainable production process in relation to the conventional production model. Can 3D print play a role to the reduction of the industrial environmental footprint? Is 3D printing able to contribute to the development of circular economy and the democratization of production, leading to a new model of sustainable industrialization? What applies so far and how does it respond to the new challenges in relation to the conventional production model? Which are the 3D printing dimensions affecting its sustainability? This review paper makes an important contribution to the growing area of research on the impact of additive manufacturing, identifying and proposing a new categorization of the factors that affect the sustainability of production through 3D printing. Selected case studies are presented to describe and clarify the literature references. The goal of this review is to investigate whether 3D printing is already or could be a better and more reliable production procedure in the near future, in line with the three pillars of Sustainable Development.
About Origin and Evolution of Gravity and Time
We present a theory showing the electromagnetic origin of the (“conventional”) Gravity based on some models that demonstrate the close relationship between electromagnetic radiation, matter and Gravity. We also show how Gravity has evolved over Time and the different stages that it has gone through to reach its current state. We also analyze the consequences for the Relativity Theory and the gravitational constant, as well as the future of Gravity and consequently of the Universe.
Optimization of Inorganic Refrigerants in Cascade LNG Liquefaction Systems: A Response Surface Methodology Approach for Enhanced Energy Efficiency and Sustainability
The global energy transition has intensified the demand for sustainable liquefied natural gas (LNG) production, necessitating advanced refrigeration systems with minimal environmental impact. This study presents a comprehensive thermodynamic optimization of inorganic refrigerants (xenon, argon, krypton, nitrogen) in cascade LNG liquefaction cycles using response surface methodology (RSM). Through Aspen HYSYS modeling and I-optimal design experiments, key performance metrics—coefficient of performance (COP), cooling capacity, specific work, exergetic efficiency, and overall thermal efficiency—were evaluated across varying evaporating temperatures (−50°C to −30°C) and pressure regimes (10–30 bar). Results demonstrate that xenon achieves superior performance, with a COP of 3.6 and exergetic efficiency of 89% at optimal conditions (−44.5°C, 10.78 bar), outperforming conventional mixed refrigerants (C3MR) by 16.6% in specific energy consumption. Exergy analysis reveals that xenon minimizes irreversibility in compression and heat exchange stages, reducing exergy destruction by 21% compared to nitrogen. However, economic constraints due to xenon’s high cost highlight the trade-offs between efficiency and scalability. This work advances sustainable LNG production by identifying energy-efficient refrigerant alternatives while providing a robust RSM framework for industrial process optimization.
Transforming Fleet Operations with Artificial Intelligence: A Strategic and Practical Perspective
Artificial intelligence (AI) is increasingly transforming the logistics and transportation industry, introducing new levels of automation, data-driven decision-making, and operational efficiency. Among the technologies driving this transformation, AI has emerged as a strategic enabler in optimizing fleet operations—enhancing performance, safety, compliance, and sustainability in complex and dynamic environments.
About Space-Time Warping in Rotating Objects and Gravity Origin
Objects with angular momentum (rotation) are known to exhibit an effect called Lense Thirring (LT) precession whereby locally inertial frames are dragged along the rotating spacetime. Such effect has been usually associated to celestial bodies, and especially studied in the case of black holes and neutron stars, but I show here that Lense Thirring precession can be also very relevant for small objects under some specific conditions. The precession effect is calculated for any object rotating around of one of its axes of symmetry, regardless of its rotation speed, mass and moment of inertia, showing that the influence of Lense-Thirring in such objects allows to create concavities and convexities in space-time around them. As consequence, the gravity effect over them can be counteracted or reinforced, experimenting effects equivalents to partial gravity, zero gravity and even anti-gravity. Kerr spacetime metric is applied with some limitations. Relevance of LT effect in function of morphology, colatitude, size, number of rpm and even kind of material is showed and an analysis of the results obtained is done. Consequently it’s proven that LT effect should be also taken on account to be applied not only to small objects but to space crafts designs. This study applies the same concepts involved in the Special Zero Gravity Theory but counteracting in this case the gravity with the consequences of applying Lense-Thirring effect instead simply spin. As consequence 1) A new generic concept is introduced: General Zero Gravity. 2) We also introduce a new view about Gravity and its origin based in accepting that Gravity can be considered to all effects an energy and that Gravity has evolved over Time till reach its current balance state. A close relationship among Gravity and kinetic energy is analyzed in detail. Then we compare the origins of concavities-convexities reached by rotation and “conventional” Gravity. We also analyze the relationship among Light and Gravity and Light and Quantum. Finally, we show the importance of QED (Quantum Electro Dynamics) and Einstein field equations for understanding the proposed relationship among electromagnetic Energy, Matter and Gravity.
Inverted Weibull Poisson Distribution: Properties, Inference and Applications to Engineering Data
In this paper, a new two-parameter extended inverted Weibull distribution called the Inverted Weibull Poisson distribution is introduced using the Poisson generator. This method adds one shape parameter to a baseline distribution thereby increasing its flexibility and applicability in modeling lifetime data. We study the structural properties of the new distribution such as the mean, variance, quantile function, median, ordinary and incomplete moments, reliability analysis, Lorenz and Bonferroni curves, Renyi entropy, mean waiting time, mean residual life, stress-strength parameter, and order statistics. We use the method of maximum likelihood technique for estimating the model parameters of inverted Weibull Poisson distribution and the corresponding confidence intervals are obtained. Two lifetime data sets are presented to demonstrate the applicability of the new model and it is found that the new model has superior modeling power when compare to the Inverted Weibull distribution.
Securing BYOD (Bring Your Own Device) in Education: Endpoint Management for School Networks
The implementation of the Bring Your Own Device (BYOD) in learning institutions has brought significant changes in other learning institutions by giving the learners and faculty a chance to use the gadgets of their personal choice. The utilization of LBYG relies on the students’ personal and portable devices, which include laptops, tablets, smart phones etc, enhances the personalization of the learning process, improves the level of interest and the yields, hence productivity in the institutions. In the same respect, on the aspect of operational costs, schools do not require much investment in school-owned hardware owing to BYOD initiatives. This approach also ensures that the educational institutions can manage the available resources well and apply advanced technology to learning. However, the increasing use of BYOD has its issues that that need to be addressed, specifically, in relation to the usability of the connected devices in the school network in a compliant manner. However, BYOD comes with sever security risks that may endanger institutional information and learning processes. BYOD [Bring Your Own Device] give every bad guy a door point to breach into a network; corrupt, steal or destroy organizational data, or gain unlawful access to an organization’s IT system. This is due to the different types of devices, operating system, and software used by the students and staff which hampers the provision of measures towards containing some of the vulnerabilities. Also, if not properly taken, endpoint security can lead to the compromising of several student and faculty records which are legally sensitive information. This paper aims at explaining why there is a need to adopt effective management of End Point solutions to help in handling of these risks. In view of the insights drawn from the current research studies, analysis of the methodologies, real-life implementation strategies, introduce a broad defense solution that has been specifically designed for educational institutions. Thus, the purpose of this research is to identify the crucial issues related to BYOD that are crucial for protecting school networks while using the advantages of the integrated technologies in learning process.
Integrated Process Optimization and Defect Analysis to Minimize Glass Jar Breakage in Acidified Gherkin Packaging Lines
Glass packaging plays a pivotal role in maintaining the safety, integrity, and market quality of acidified gherkin products. However, frequent glass jar breakage during processing and handling presents a critical operational and sustainability challenge in pickle manufacturing lines. This study was conducted at Global Green Company Limited, Bangalore, to identify, analyze, and minimize glass jar breakage through an integrated processoptimization framework. Breakage data were collected across two production lines and four critical points—pasteurizer outfeed, dud detector, downing area, and conveyor system. Quantitative evaluation revealed higher defect incidence in large-capacity jars (1400–2000 ml), with thermal shock and mechanical vibration being the most significant contributors. Implementation of corrective measures, including gradual cooling, conveyor synchronization, torque calibration, and operator retraining, resulted in an average 51.7% reduction in breakage, confirmed statistically (t = 3.49, p <0.05, Cohen’s d = 1.56). Post-intervention, the mean defect rate declined from 7.3% to 3.52%, improving line efficiency and reducing waste generation by 35%. The findings establish that systematic process optimization combining root cause analysis and engineering controls can effectively enhance packaging integrity, economic performance, and sustainability in glass-packaged food manufacturing.
Hypoglycemic Properties of Ethanolic and Aqueous Leaf Extractof Acanthus Montanus (Acanthaceae)
This study evaluated the hypoglycemic properties of ethanolic and aqueous leaf extract of acanthus montanus. The leaves were subjected to different extraction methods (ethanolic extract and aqueous extract) and evaluated the phytochemical and hypoglycemic potential of the aueous and ethanolic extract in alloxan‑induced diabetic rats. Flavonoid content varied widely, ranging from 12.03% in milled samples to 54.00% in ethanolic extracts with the latter being significantly higher (p < 0.05). Alkaloid levels followed a similar trend, spanning 2.06 % (milled) to 15.02 % (ethanolic extract) with significant differences among all samples (p < 0.05). Saponin content ranged from 5.00 % (ethanolic extract) to 19.00 % (aqueous extract), while tannins ranged from 1.03 % (aqueous extract) to 2.50 % (ethanolic extract); both showed significant variations (p < 0.05). In the animal study, Group A (normal control) maintained glucose levels within the normal range (3.8–7.8 mMol/L). Group B (alloxan‑induced) exhibited an initial drop 24 h post‑induction followed by persistent hyperglycemia (>7.8 mMol/L). Group C (standard drug) returned glucose to normoglycemia, while Group D (treated with ethanolic extract) showed a gradual decline from 9.8 mMol/L to normoglycemic levels (8.0 mMol/L) over two weeks. Alloxan selectively destroyed pancreatic β‑cells, confirming its use as a diabetic inducer. These findings demonstrate that ethanolic extraction maximizes flavonoids and alkaloids, and its extract possesses notable hypoglycemic activity, suggesting potential for developing anti‑diabetic phytomedicine.
Mitigating Data Quality and Consistency Challenges in Multi-Source Ingestion through Schema Validation and Transformation Techniques
Ensuring data quality and consistency across data intake from several sources presents a tremendous challenge for companies running large-scale data platforms. These challenges are exacerbated by the numerous data forms—structured, semi-structured, unstructured—that come from many sources—including relational databases, IoT devices, and APIs. Data variances, incompatible schemas, and quality issues cause poor analytics and downstream decision-making. With an eye toward how schema validation and transformation techniques might assist address problems with data quality and consistency across the pipeline, this paper looks at the primary challenges related to receiving multi-format data. We analyze schema validation systems including Apache Avro, JSON Schema, and Protobuf with real-time transformation techniques applied using Apache Kafka, Apache Spark, and AWS Glue. The limits of these techniques and future directions—such as AI-driven data validation and self-healing data pipelines are also discussed at the end of this work.
Strategic Communications in the Digital Age: Crafting Effective Project Communication Plans to Enhance Enterprise Efficiency
In the era of rapid digital transformation, the creation and execution of a project communication plan have emerged as critical components in managing the flow of information within organizations. This white paper explores the structure and significance of a project communication plan, highlighting its role in aligning stakeholders, facilitating efficient information exchange, and ensuring projects remain on track. Through the lens of situational analysis, audience personas, and the strategic selection of communication channels, we delve into how a meticulously crafted communication plan can mitigate the pervasive challenge of information overload. The findings underscore the importance of adaptability, relevance, and targeted messaging in enhancing organizational communication. By addressing the detrimental effects of excessive and irrelevant information, this document presents a compelling case for the strategic implementation of communication plans as a remedy for improving productivity, strategic alignment, and decision-making efficacy within modern enterprises.
Crafting Effective Project Communication
Implementation of Additive Manufacturing Workflows into the Prosthetic & Orthotic Industry: Case Study
The prosthetic and orthotic industry is evolving to include innovative technologies as solutions to material and labour usage, promoting more sustainable and cleanly practises for both staff and patients. 3D printing, scanning and software have revolutionised the workflows of clinicians, technicians and administrative staff. To determine the reliability and repeatability of additive manufacturing (AM) workflows in a P&O company, observation and interview analyses were undertaken within an established prosthetic and orthotic company. The collection of data from these opportunities offered valuable insight into workflow sessions, employee feedback and predetermined themes regarding both traditional and AM processes for the production of Transtibial prosthetic sockets. Findings revealed the reduction in workflow sessions, technician resource and storage requirements when working through AM processes, although there is a lack of opportunity and resource for clinicians and technicians to learn how to use these digitalised processes. Although both traditional and 3D printed sockets receive similar feedback from patients regarding comfort and fit, discrepancies in socket weight were noted. A further understanding on the culture and adoption barriers of AM processes should be investigated for clinicians, technicians and administrative staff across a larger sample size.
Critical Behavior of an Extreme Fire “Fire Junction”
In this paper the concept of extreme forest fire behavior denominated as Junction Fire is analyzed, this phenomenon consists of the interaction between two linear fire fronts which in their propagation intersect at a single point making a small angle between them. In their process of fusion, the phenomena of heat transfer by radiation and convection are extremely amplified due to the concentration of energy at the point of intersection. The concentration of energy and therefore the development of the powerful heat transfer mechanism induces an extremely high and sudden increase in the rate of spread until it reaches a maximum value after which begins to decrease. This behavior of the order parameter exhibits a non-universal phase transition. The analysis carried out in the ADIA-LEIF laboratories show that fires junction are a source of instability which leads to serious safety and management problems for those who are confronted with this type of forest fire. The results show that the fire junction spread exposed two main regimes; an initial acceleration phase characterized by a high rate of spread depends essentially on the initial angle between the fire fronts θ0 , which shifts during the evolution of the fire until the limit of creation of a single front of fire in a straight line explaining a decreasing phase. Nevertheless, the front fire dynamics depends both on the initial angle between the fire fronts θ0 and on the slope ground αJ exhibiting a non-universal phase transition known in the literature. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved.
Non-Equilibrium Phase Transition (Theory)
Critical Exponents and Amplitudes (Theory)
Revolutionizing Tomorrow: Cutting-Edge 3D Printing Materials and Methods for Transformative Real-World Solutions
This study offers an in-depth exploration of the latest advances in 3D printing materials and fabrication technologies that are driving a transformation across multiple industrial sectors. Beginning with a review of emerging high-performance polymers, advanced metal alloys, and innovative composite materials, the discussion highlights enhancements in mechanical strength, flexibility, and functional adaptability which are setting new standards for additive manufacturing capabilities. Particular emphasis is placed on sustainable and eco-friendly materials, such as recyclable plastics and biodegradable polymers, reflecting the growing industry commitment to environmentally responsible production. The overview continues by examining cutting-edge manufacturing methodologies, including multi-material printing and artificial intelligence-assisted design optimization. These advancements enable faster, more precise, and resource-efficient production workflows that reduce waste and costs while expanding the complexity of printable parts. A broad range of sector-specific applications is presented, showcasing the impact of these technologies in aerospace, automotive, healthcare, and personalized medicine, including breakthroughs in bioprinting for customized implants and tissues. Through illustrative examples and real-world case studies, the presentation emphasizes the shift toward decentralized, on-demand manufacturing models facilitated by these technological innovations. It underscores how 3D printing is evolving from a prototyping tool to an essential production technology, aligned with Industry 4.0 principles. This evolution supports greater flexibility, customization, and sustainability in manufacturing ecosystems, addressing contemporary economic and environmental challenges. Readers will gain a comprehensive understanding of how these materials and methods converge to revolutionize product design and fabrication, offering new avenues for innovation and competitive advantage. The paper aims to inspire further exploration and adoption of additive manufacturing technologies, accelerating their integration into mainstream industrial practices worldwide.
A Comparative Life Cycle Assessment of Hydrogen Production & Storage with Renewable Energy Source and Grid Electricity Source
The role of electricity is becoming significant in our advancing world. Currently, Ireland’s energy mix heavily relies on carbon-polluting fossil fuels, posing an environmental challenge. As per the Paris Agreement 2015, Ireland is ambitiously targeting to meet net zero carbon dioxide (CO2) emissions by 2050 and a 51% reduction by 2030. The country is shifting towards renewable energy sources to generate power to achieve this target. With abundant wind energy available, Ireland can meet its goal. However, due to the intermittent availability of wind energy, an energy backup for power generation is necessary. The use of curtailed or dedicated wind for producing hydrogen gas through electrolysis, and storing it in underground salt caverns is one approach to the problem. Northern Ireland has a rich source of Permian salt deposits offering a better place to store hydrogen which can be withdrawn for electricity generation, or used as fuel in transportation sectors. The Life Cycle Assessment (LCA) of the hydrogen systems can scrutinise the environmental impact of carbon emissions. This study analyses routes to reduce the environmental impact by evaluating polluting hotspots during the construction and operation phase of the system. This paper compares the impacts of the LCA on a hydrogen system which consists of a wind energy source for hydrogen production through electrolysis, transportation in pipelines and compression before storing it in salt caverns. A comparative analysis is carried out with the LCA of the hydrogen system with an electrical grid supply source. The results show that the impacts contributed by a renewable source are less than the electricity from the grid for the island of Ireland.
Recent Developments in Numerical Modelling of Composite Structures
Composite materials have become essential in engineering design due to their superior strength-to-weight ratios, corrosion resistance, and direction-oriented mechanical properties. These materials are widely used in aerospace, automotive, marine, and civil engineering applications, where the high strength and low weight are critical [1]. As the complexity of composite structures increases, so does the necessity for accurate numerical modelling techniques to predict their behaviour, optimize their design, and extend their service life [2].
Advancing Coconut Dehusking Technology: A Dimensional Analysis-Based Parametric Model for Local Production
Effective dehusking is essential to the coconut industry's value chain, which is still a major industry in many tropical economies. Using dimensional analysis based on Buckingham's π theorem, this study proposes a novel mathematical model to forecast the dehusking efficiency of a locally made coconut dehusking machine. The model was created to help regional producers optimize their equipment for better output. The model was validated using experimental study data, showing a maximum correlation coefficient (R2 = 0.388) between the predicted and measured dehusking efficiencies. Despite this moderate correlation, the model showed strong applicability, enabling dehusking efficiency estimates with an astounding accuracy of up to 89.5%. This degree of accuracy indicates that engineers and manufacturers looking to improve coconut processing technologies may find it useful. By reducing material waste and boosting productivity in regional agricultural contexts, the work's implications go beyond simple efficiency gains and support sustainable production methods. Given the coconut's economic significance, the model is a useful tool for supply chain participants, especially in environments with limited resources. This research opens the door for future advancements in agricultural machinery design by using dimensional analysis to better understand dehusking mechanisms. All things considered, the creation and verification of this parametric model mark a critical advancement in the technological capacity of regional coconut production, which will ultimately promote sustainability and economic growth.