Applied Sciences Research Periodicals

Asymptotics and Fourier Expansions of the Sequence of Linear Factor of Polynomials Orthogonal with Gegenbauer-Sobolev Inner Product

Abdalgadir Albushra, Musa Siddig, Amani Elseid, Abdelrehaman Mohamsd — Thu, 06 Nov 2025 00:00:00 +0000

For monic polynomials orthogonal to the non-discrete Sobolev inner product, let show the sequence of quadratic factors. . Where with . Both Sobolev norms of and a Mehler-Heine type formula with a strong asymptotic on are obtained. Additionally, we look for the necessary conditions for norm convergence and the reasons for the norm convergence of a Fourier expansion, specifically with regard to the Sobolev orthogonal polynomials.

Properties and Applications of a Burr X-Lomax Distribution

Innocent Boyle Eraikhuemen, Terna Godfrey Ieren — Sat, 13 Dec 2025 00:00:00 +0000

The properties of distribution functions, along with their interrelationships, are significant in the modeling of naturally occurring phenomena. This article proposed a new extension of the Lomax distribution by adding one shape parameter to the Lomax distribution using the Burr X-G family of distributions. This study has derived and investigated some statistical properties of the Burr X-Lomax distribution such as moments, moment generating function, the characteristics function, quantile function, survival function and hazard function. Some plots of the distribution and the reliability function were generated and interpreted appropriately. The model parameters have been estimated using the method of maximum likelihood estimation. The implications of the plots for the survival function indicate that the distribution (BuXLomD) can be used to model time or age-dependent events, where survival rate decreases with time or age. Also, the plots of the CDF and survival functions confirmed that the BuXLomD is a valid probability distribution. The performance of the Burr X-Lomax distribution has also been tested by application of the distribution to three real life datasets. Applications of the BuXLomD using three real life datasets revealed that the BuXLomD fits the dataset more appropriate and has better fitting performance than the transmuted Power Lomax distribution, Rayleigh-Lomax distribution, power Lomax distribution, sine Lomax distribution and the conventional Lomax distribution.

Intrinsic Fermi Energy Level in Materials Having a Bandgap

Ravi Kumar Chanana — Thu, 06 Nov 2025 00:00:00 +0000

This brief review mainly highlights the applications of the determined intrinsic Fermi energy level in semiconductors and insulator materials. The electrical properties of a Metal-Oxide-Semiconductor (MOS) device designed on any parabolic semiconductor and having SiO₂ as the oxide dielectric, can be calculated theoretically once the intrinsic Fermi energy levels in the semiconductor and the oxide are known. Also, Hetero junction devices can be better designed with this known intrinsic Fermi energy level in materials.

Clinical Evaluation of a Customized POCT cup for Detecting 16 Psychoactive Substances in Urine at Abu Dhabi’s National Rehabilitation Center Laboratories

Sun, 09 Nov 2025 00:00:00 +0000

Point-of-care testing (POCT) provides rapid, cost-effective, and patient-centric solutions for the detection of drugs of abuse (DOA), particularly in rehabilitation environments. While traditional laboratory-based toxicology screening is precise, it is often associated with delays that hinder timely clinical decision-making. This study aimed to assess the performance and reliability of a custom-developed POCT cup for the detection of 16 psychoactive substances in urine samples, using immunoassay and liquid chromatography-tandem mass spectrometry (LC-MS/MS) as reference methods. A total of 504 urine samples were analyzed with the newly developed POCT device, followed by immunoassay screening and confirmatory LC-MS/MS analysis. The substances tested included amphetamines, benzodiazepines, cocaine, cannabis, opioids, MDMA, among others. The POCT device demonstrated an average concordance rate of 98.4% with confirmatory LC-MS/MS results (range 91-100%). High agreement was observed for cocaine, barbiturates, and opiates, while MDMA exhibited the highest rate of misidentification. Immunoassay screening was effective for preliminary detection but showed limitations in specificity. The customized POCT device demonstrated high reliability in clinical settings, presenting a valuable tool for frontline screening. However, confirmatory LC-MS/MS testing remains critical for ensuring diagnostic accuracy, particularly for substances with a propensity for cross-reactivity or false positives.

Effect of Feed Rate on Productive Variables for the Brown Shrimp (Penaeus aztecus)

Thu, 04 Dec 2025 00:00:00 +0000

One of the main species sustaining the shrimp fishery in the Gulf of Mexico is the brown shrimp Penaeus aztecus (Latoumerie, 2007). Due to its great importance in the market, the present research focused on this species, with the objective of collecting scientific information that would help to establish whether this species is suitable for farming. The study centered on measuring the effect of different feed rates on productive variables (weight gain, weekly weight gain, weekly length gain, survival, final weight, biomass, feed management, and feed conversion rate) over a period of eight weeks. The experiment comprised three treatments (each conducted with three repetitions): Treatment 1 (the control), which was conducted with a feed rate of 9%; Treatment 2, which was conducted with a 3% feed rate; and Treatment 3, which was conducted with a 6% feed rate. The feed rate percentages for the three treatments were calculated based on the biomass of the sample. The water quality parameters (dissolved oxygen, temperature, salinity, pH, and nitrogenated compounds) were observed to remain at similar levels. The present study concludes that the control treatment T1 (9%) yielded the best weight gain, weekly weight gain, weekly length gain, and final weight results, while T3 (6%) presented the best final biomass and weight gain results. However, taking into account the minor differences among the results obtained for groups T1 and T3, further to the higher percentage of feed administered and the survival rate observed, it can be concluded that T3 (6% feed rate) performed the best of the two treatments applied by the present study, due to the fact that it was much more cost effective and produced the highest yield.

How AI Re-Discovers Maxwell Electromagnetics, Discovers New Physics Theories, and Interprets “Optics-Butterfly-Phenomenon” and Pattern Evolution

Hui Peng — Tue, 09 Dec 2025 00:00:00 +0000

AI is the powerful tool for many applications, accelerating the discovery of science, and extending the boundary of knowledge. In this article, we propose a process for AI to: (1) re-discover the existing physics theory for confirming the process; then (2) apply the same process for AI to discover new physics theories. Also, by the pattern recognition, can AI discover a theoretical model to explain the mystery patterns/phenomena in optics physics, such as the double slit experiment and “Optics-Butterfly-phenomenon”.

Quantum Automation: The Next Frontier in Business Administration and Strategic Leadership

Charles Nwaneri J. Ekeh — Thu, 04 Dec 2025 00:00:00 +0000

This review suggests a practical roadmap of quantum automation of the business world with quantum computing using quantum-enhanced machine learning and existing automation systems. It describes the simplest quantum principles within the context of managerial problems, surveys strategic uses in large business functions and the leadership position needed to scale between isolated demonstrations of concept to scaled value. The approaches merge a scoping overview of current technical and managerial literature, experience of best practices, and logic of benchmarking that compares hybrid quantum classic pipes to tuned quantum classics on business-based measures like the quality of solutions at fixed time, time to decide, robustness, reliability and cost to result. The review recognises areas where a hybrid approach may yield quantifiable optimisation, scheduling, forecasting, and pattern-finding advantages and give constraints which are correlated with hardware noisy, algorithms maturity and systems integration and skill. It gives a roadmap of adoption, which is associated with the targeted pilots, governance, quantum-safe security, and ecosystem alliances a gradual scale-up that is visible to economic and risk controls.

Opportunities, Challenges, and Future Directions in Leveraging AI for Lifelong Learning in Development Communication in Nigeria

Umefien Dakoru Epepe — Sat, 13 Dec 2025 00:00:00 +0000

This study explored the application of artificial intelligence (AI) for lifelong learning in development communication in Nigeria, focusing on the opportunities, challenges, and future directions. Anchored on the Diffusion of Innovations Theory, the study adopted a qualitative research design using the interview method. Data was to elicited from a purposive selection of 18 development communication lecturers in the tertiary education sector across Nigeria’s 6 geopolitical zones. Findings revealed that AI holds transformative potential for lifelong learning by offering opportunities for personalized and scalable learning, expanded access, reskilling and up-skilling to assist development communication lecturers adapt to the ever-changing demands of the workplace. The study, however, highlighted challenges such as infrastructural limitations, biased or linguistically alien algorithms, policy framework, low digital literacy, and ethical concerns. It concluded that the potential of AI in lifelong learning can be realised through inclusive strategies that address infrastructural gaps by developing communication skills, building digital capacities among development communicators, and promoting ethical, context-specific AI applications. By aligning AI with the principles of development communication, development communicators in Nigeria can create a more equitable and empowered learning ecosystem for sustainable development.