According to Bertrand Russell- 'Science'

• "The facts of science, as they appeared to him [Heraclitus], fed the flame in his soul, and in its light, he saw into the depths of the world."

According to Francis Bacon -'The depths of the world'

• "The sciences that sway the imagination rather than the reason are principally three viz. These are: astrology, natural magic, and alchemy (…). Alchemy, may be compared to the man who told his sons/daughters that he had left them gold, buried somewhere in his vineyard/house; while they by digging the vineyard found no gold,
• But by turning up the mould about the roots of the vines procured a plenty vintage. For this reason the search and endeavours to make gold, have brought many useful inventions to light."

This article contains the design of a technical aid for stand-up support in patients with lower limb immobilization syndrome or with reduced mobility. The methodology applied in this article consisted initially in the definition of the design that complied with the necessary requirements for a correct stand up, the height and weight of the user were taken into account, then the pieces of the structure were designed, these pieces were designed independently in order to facilitate the final assembly of the technical aid, then the electronic circuit was designed using the proteus software, finally the final design and assembly was performed using the Autodesk Inventor Professional version 2021 software. We achieved the simulation and articulation of each of the parts that compose the structure of the technical aid to know how it works. The final result of the design will allow the ascent and descent of the patient in a controlled, safe and supervised way by the personnel in charge of the user.

Keywords: Technical assistance; stand-up; design; linear actuated

In today’s fast-paced academic environment, effective knowledge-sharing tools play a crucial role in enhancing collaboration and productivity among students. This study investigates the impact of knowledge management (KM) tool design on knowledge recall and interpretation. Specifically, it evaluates the effectiveness of three communication modalities—Kanban boards, direct messaging, and face-to-face meetings—in facilitating knowledge transfer among university students. A study involving 20 participants was conducted, where web development tasks were assigned and completed using these three modalities. Participants’ recall and interpretation abilities were measured and analyzed using a Likert scale. The results indicate that Kanban boards and direct messaging significantly enhance knowledge retention, whereas face-to-face communication improves comprehension. These findings suggest that optimizing KM tool design according to task complexity can improve collaborative learning outcomes. Future research should explore advanced rating methods, broader participant demographics, and cross-disciplinary applications to refine KM tool effectiveness.

Keywords: Delegation Strategies; Knowledge Transfer; Productivity Optimization

For the first time in the world, a universal generalized method for mono- and multifractals synthesis is proposed, which allows combining and reproducing almost all known artificial and semi-artificial methods of fractal synthesis on a single natural platform - Brownian point dynamics (BPD) in the field of N gravitational forces.

On the basis of the BPD method, a set of algorithms for the synthesis of fractal sets of a wide range of characteristics and properties, such as monofractal, multifractal, isotropic, anisotropic, rectangular, hexagonal, ring, single- and multi-loop, etc., has been developed.

The fractals synthesized by the BPD method enable the production of solid samples of these fractals with predetermined characteristics using modern 3D printing technologies and experimentally study their porosity, fractal dimensions, residual strength, aerodynamic and hydrodynamic drag, etc.

It is shown that the Brownian dynamics of a point in a field of N gravitational forces clearly demonstrates the generation of a fractal order by Brownian chaos with a cascade of discrete levels ordered by scaling, i.e., an important philosophical result of the demonstration of order from chaos. The influence of minimal values of N on the synthesis of linear, planar or volumetric multifractal sets is demonstrated.

Keywords: chaos; multifractal; synthesis of multifractals; tensor structure of multifractals; inverse problem of fractal analysis

The whole country has witnessed a massive change in the functioning at all spheres in the last two years due to Covid-19 pandemic. Education sector and, particularly, higher education in India had never gone through such a transformation which was totally unprepared for. Shifting to online teaching from face-to-face was a natural compulsion at all levels of education. Technical teachers also had to accept this challenge of engaging their students online. Even for the students, this unforeseen change to online learning was filled with several challenges; though some prospects could also be explored. The present study has been undertaken with some crucial objectives; viz. to identify the preference of the students for learning online over conventional learning; to explore the challenges faced in online learning; and to categorise the levels of motivation and confidence of students while studying on virtual platform. Teachers’ perception related to quality parameters in online learning was also observed. Though students were excited about using gadgets in learning, they found the traditional/conventional classes more interesting than those conducted online. Blended learning seemed to be the preferred mode of learning by the students. The teachers realised that apart from the cognitive aspect, the affective domain also matters even in higher education.

Keywords: Covid-19; Pandemic; Online learning; Blended learning; Virtual platform

In the constantly changing world of aerospace technology, innovations that enhance efficiency, safety, and performance are continually highlighted. A particularly revolutionary advancement is the creation and application of laser ignition systems in rocket engines. This technology, which substitutes traditional chemical ignition methods, marks the beginning of a new era in rocket propulsion, offering substantial benefits and future implications for space exploration. Numerous studies and experiments have been conducted globally in this field. The Laser Ignition System (LIS) is a promising technology that facilitates engine restarts and improves the efficiency of the ignition process.

Today, we stand on the brink of unprecedented technological advancements in the fields of Science and Engineering. These advancements are driven by the need to innovate in ways that are not only groundbreaking but also sustainable. One of the most promising avenues in this endeavor is the development and application of polymer composites. Polymer composites, which combine a polymer matrix with reinforcing materials, offer remarkable benefits including enhanced strength, reduced weight, and improved resistance to environmental degradation. These properties make them indispensable across various industries such as aerospace, automotive, construction, and consumer electronics.

In recent years many of the applications have been migrated to the cloud mainly due to its flexibility and capability of cutting down on user Costs. But as we notice that many data are now being stored on the cloud there has been a rising concern on security. However, in a cloud environment, information, identity, database, application servers, and web servers are vulnerable to different types of cyber threats such as data breaches, identity theft, database manipulation, and more. Responses to these threats need sound investigation systems and methods hence giving rise to the concept of cloud forensics. Cloud forensics targets deal with cybercriminals in cloud infrastructures by presenting techniques for the detection, analysis, and prevention of illicit actions.

At Evolwe Inc., we are advancing the frontier of artificial consciousness (AC) by developing emotionally intelligent, conscious AI agents designed to enhance human-AI collaboration. Emotional AI serves as the foundational layer for AC, enabling machines to recognize and respond to human emotions, intuitions, and contextual nuances. This article explores how our research integrates emotional AI with artificial consciousness to create agents that can intuitively interact with humans across diverse industries, including healthcare, manufacturing, and the creative sectors. We highlight the practical applications of these conscious AI agents and discuss the ethical implications of bringing machines closer to human-like consciousness. As emotional AI becomes obligatory in developing AC, Evolwe Inc. is aiming to lead the charge toward a future where emotionally intelligent, conscious agents transform how humans and machines collaborate, creating more natural, intuitive partnerships for solving complex real-world problems.

Our invention/paper relates to the use of a kaolin source material that is mixed with a pozzolanic material in the absence of water, to form a geopolymer cement binder material. It relates to the industrial scale processes that these two major materials go through as they are prepared by special manufacturing processes to obtain optimised raw material constituent materials first and then when they mixed by large scale/commercial processes to obtain products of uniform quality. A geopolymer cement product capable of achieving a compressive strength of 104 Mpa with a compressive strength after a chemical attack of 100.74 Mpa and a thermal expansion of 0,2mm can be achieved after producing the input raw materials into this GPC cement at a Pyro processing temperature of 681 Degrees Celsius resulting in an aluminium material phase of 4.01 and silica to alumina ratio of 2.26. This product should be ground to a particle surface area of 6863 parts/cm² with an alkali activator of 18,78%.

Keywords: metakaolin; pozzolanic materials; geopolymer cement; material phase; optimisation

This study addresses the challenges of compressing and decompressing digital-ink data captured from handwritten inputs on a device- such as pen-tablet, etc. We propose a novel method leveraging sparse Gaussian process regression (GPR) to compress digital-ink data into a compact kernel matrix using pseudo-inputs. To enhance compression accuracy and reconstruction fidelity, we integrate a dynamic programming (DP) strategy for optimal pseudo-input selection. Experimental results validate the proposed method by demonstrating its effectiveness and significant compression ratios.

Keywords: digital-ink; handwriting; compression; decompression; sparse Gaussian process regression; pseudo-inputs; optimal selection; dynamic programming

In today’s changing realm of science and engineering blending creativity with technical skills has become essential. Design Thinking, an approach cantered around needs and innovation serves as a bridge between these two realms providing a solid framework for engineers and scientists to address complex challenges with resourcefulness and empathy.

The Fourth Industrial Revolution (Industry 4.0) represents a paradigm shift, one that transcends mere technological evolution. As researchers and practitioners, we find ourselves at the confluence of digital innovation, cyber-physical systems, and transformative societal implications. In this essay, we dissect the core tenets of Industry 4.0 and its profound significance for science and society.

Artificial intelligence (AI) is becoming a game-changer in the field of dentistry, transforming everything from diagnostics to treatment planning and patient management. With its data-driven capabilities, AI is helping dental professionals provide more accurate, efficient, and personalized care. One of the most significant applications of AI in dentistry is in diagnostic imaging. Machine learning algorithms can analyze dental X-rays, CT scans, and other imaging data with remarkable accuracy. AI systems can detect cavities, root infections, gum diseases, and even early signs of oral cancer by identifying patterns that might be difficult for the human eye to see. For example, in radiographic interpretation, AI can measure bone density and monitor changes over time, helping dentists spot issues before they become severe. Early diagnosis can lead to more effective, less invasive treatments, improving patient outcomes and reducing long-term costs. Another challenging aspect is in the field of treatment planning and predictive analytics as AI also aids in creating more precise and personalized treatment plans. By analyzing a patient’s dental history, genetics, and lifestyle factors, AI-powered systems can predict the progression of certain conditions and recommend optimal treatment plans. For instance, in orthodontics, AI-driven software is used to design custom aligners for treatments like Invisalign, predicting how teeth will move and adjusting the aligners accordingly. This process enhances the accuracy of alignments, shortens treatment times, and improves patient satisfaction. In prosthodontics and implantology, AI can assist in designing and placing dental prosthetics and implants with unparalleled accuracy. Advanced software considers various patient-specific factors, such as bone structure and tooth position, to create the most suitable fit. This helps reduce risks associated with implant failure, ensuring a higher success rate. Moreover, AI shows a promising progress in the field of robotic assistance in dental surgeries as it is paving the way for robotics in dental surgeries, bringing precision and consistency to procedures like implant placement and root canal therapy. Robots powered by AI can assist dentists by stabilizing instruments and guiding them through complex movements with minimal error.

Quantum computing is poised to transform the field of medicine, offering unprecedented possibilities in diagnostics and treatment. With its immense computational power, quantum computing can tackle medical challenges that are currently insurmountable with classical computers. This editorial explores how quantum computing can be harnessed in modern medicine, discussing its potential benefits and the obstacles that must be addressed.

The idea for the Submerge Trimaran hull concept (STR) presented on this paper it’s originated from the Nautilus System (NTLS) stabilizers for motions and currents, which is based on a 2 sides linear approximation using Keulegan-Carpenter number (KC) to obtain the roll motion damping coefficients from the roll decay test of high block coefficient vessels with bilge keels and from which it´s possible to understand that, the damping that’s rules the roll motion of high block coefficient vessels with appendages is more significant at lower oscillations amplitudes (roll decay test latest cycles), it´s mean at lower KC numbers (KC <) were the steady state flow regime is predominant and the GM_T has a linear variation in the stability curve, which however didn’t occur for larger oscillation amplitudes (roll decay test initial cycles) were highest KC numbers (KC >) are relevant (drag forces) meaning that, the action of appendages such as bilge keels is less effective in reducing roll amplitudes as results of the turbulence derived from the back and forth oscillating flow, being the main source for the energy dissipation the vessel hull form capability to generate waves. Therefore, the Submerge Trimaran hull (STR) is a NTLS variation to be applied in conventional vessels with advance velocity to obtain a reduction to the roll amplitudes by increasing the potential damping while restricting the transversal oscillation flow by doing a hull modification from a perspective that considers as a base a hull immerse in a steady state flow regime (lower KC numbers) that´s has the effect of varying the natural roll period, extending the GM_T (STR) linear variation in the transverse stability envelope for a broader range of sea state, as more external excitation energy it´s require to obtain the same conventional hull roll amplitude, as part of the main motivation for the STR hull concept development idea, which is to achieve an overall improvement to a vessel sea keeping performance to cross ocean routes efficiently with energy savings and decabornization.

Keywords: Nautilus System (NTLS); Submerge Trimaran Hull (STR); Roll Motion Control

This paper reports an experimental procedure based on the Constructal Law to reduce the noise level. The study investigates both the component level and the system level noise reduction. It is shown that at 100% load and at the second construct, a noise of 3dB will be reduced.

Keywords: Constructal; Noise Reduction; Correlations; Second Construct

Additive manufacturing (AM) is a valuable addition to engineering design by enabling complex geometries, reduced waste, and rapid prototyping. Despite these advantages, the structural integrity of 3D-printed components can be limited by several factors, such as anisotropy, porosity, and layer adhesion [1]. Adhesive bonding has gained relevance as an effective method to join 3D-printed components, offering benefits such as stress distribution, energy absorption, and compatibility with complex geometries. Adhesive bonding, unlike mechanical fastening or welding, distributes stresses more uniformly and eliminates the need to drill holes, which are required for bolted joints. In 3D-printed components, adhesives offer a versatile solution to join dissimilar materials or repair parts without inducing heat-affected zones, oppositely to welded joints. However, the effectiveness of adhesive bonding relies on parameters such as surface energy, adhesive type, and the quality of surface preparation [2]. Adhesive bonding of 3D-printed components entail difficulties such as high surface roughness, internal defects, and anisotropic properties due to layer-by-layer deposition. These factors complicate adhesion and require an additional design effort in the adhesive selection, surface treatment, and joint design.

This paper discusses a case history of a highway tunnel located in lower Himalayas. The site information was collected primarily from geological mapping and limited site investigations carried out from tunnel portal due to inaccessible terrain conditions. The tunnel alignment, cross section, and elevations were assessed, evaluated, and designed based on the geological and geotechnical parameters ascertained from field and laboratory investigations. Numerical analysis was carried out to study stress-deformation behavior under varying ground conditions and multiple stages of excavation along with wedge stability for given joint conditions. Displacements obtained numerically were compared along with field monitoring values for crown and wall. Finally, a sensitivity analysis is carried out to ascertain impact of strength parameters on deformation and yielding of excavated tunnel face.

keywords: Numerical analysis; Geotechnical investigations; Geological mapping; Road tunnel; Field monitoring

Polyurethane's versatility is limited by its weak flexural strength. This study explores methods to address this limitation. Recycled carbon fiber powder (RCFP) was investigated as a reinforcing agent. The research found that incorporating recycled carbon fiber particles (RCFP), particularly finer particles (100 mesh), significantly enhanced flexural strength and modulus. This improvement is attributed to RCFP effectively filling voids in the polyurethane, increasing its density and resistance to bending loads. While a higher content strengthens the material, it can also lead to excessive stiffness and a decrease in flexural strength. Polyester fabric reinforcement (FR) emerged as another effective method, with five layers increasing flexural strength to 2.1 MPa. FR also introduces flexibility, potentially reducing the risk of catastrophic failure under impact or bending. Additionally, FR improves the composite's compressive, shear, and tensile strength. The study highlights the importance of optimizing both RCFP size and content to achieve the desired mechanical properties. Future research could explore the combined effects of RCFP and FR for even greater improvements. This research paves the way for the development of stronger and more sustainable polyurethane composites using recycled materials.

Keywords: Recycled Carbon Fiber Powder; Fabric Reinforcement; Flexural Properties; Polyurethane

Since its inception on December 10, 1993, when it was decreed by the Prime Minister, Vietnam National University, Hanoi (VNU) has had a substantial impact on higher education in Vietnam for the past three decades. At present, VNU has developed into a thriving center for education and research, with 37 members and connected units. These include 16 service units, 9 universities, 4 affiliated schools, 6 research institutes, 2 training and research centers, and 2 institutes of higher education. This paper presents an exhaustive examination of the research outputs of VNU spanning the years 1993 to 2023. It emphasizes the university's significant contributions to the Scopus Database, which contains more than 10,000 document records, and the Web of Science Database, which contains more than 9,100 records. The research study thoroughly examines the statistical data and analyses pertaining to these outputs, considering many factors including number, quality, subjects, authors, and collaborations. This report presents an exhaustive assessment of the research outputs of VNU spanning a period of thirty years. It emphasizes the efficacy of institutional measures in bolstering scientific production and fostering innovation.

Keywords: Bibliometric analysis; Scientific research; Creative Innovation; Research outputs; Policy impact

There are different ways to train personnel in a manufacturing plant, ranging from in-person to virtual training. However, there is currently no standard model or methodology to measure the effectiveness of this training on the position, work cell, and indicators. This work proposes a method to measure the impact of training strategies through an indicator called a "Real Training Indicator." This method is based on requirement 7.2 of the ISO 9001:2015 Standard, which refers to the "Competence of Personnel." The Kirkpatrick, Wade, and Phillips models are used to measure the impact of training in a transnational organization in Mexico. This method estimates the level of transfer and effectiveness of the training to cover the requirement of Good Manufacturing Practices.

Keywords: Good Manufacturing Practices; Knowledge Transfer; Personal Hygiene; Real Training Indicator; Food Industry; Blue Collars; Mexico

In the ever-evolving cybersecurity landscape, network forensics has emerged as a crucial field, dedicated to investigating and mitigating cyber threats. The rapid growth of digital communication and the increasing sophistication of cyber-attacks necessitate advanced methods for detecting, analyzing, and responding to security breaches. Machine learning (ML), a subset of artificial intelligence (AI), offers transformative potential in network forensics, promising to revolutionize how we protect and investigate our digital environments. Network forensics involves monitoring, capturing, and analyzing network traffic to identify security incidents and gather digital evidence. Traditionally, this process has relied heavily on manual analysis and signature-based detection methods, which can be time-consuming and inadequate against novel or complex attacks. The sheer volume of network data and the subtlety of modern cyber threats demand more sophisticated, scalable solutions. This is where machine learning comes into play.