Applied Sciences Research Periodicals

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

Abdalgadir Albushra — 2025-11-06

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 — 2025-12-13

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 — 2025-11-06

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

Abuelgasim Elrasheed — 2025-11-09

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)

José Rodolfo Hernández Amador — 2025-12-04

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 — 2025-12-09

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 — 2025-12-04

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 — 2025-12-13

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.

Analytical Procedure for Determining of Lead in Isopropyl Palmitate (IPP) by Atomic Absorption Spectrometry

Y. Yildiz — 2025-12-16

Isopropyl palmitate is a non-polar ester and does not directly dissolve in aqueous diluents. The sample is therefore digested using acidic hotplate mineralization, converting all Pb into an aqueous ionic form. In this present study, we measured the concentration of lead in isopropyl palmitate by using flame AAS for higher sensitivity. The resulting digest is analyzed at 283.3 nm. Spectrophotometric determination of lead in isopropyl palmitate sample was found to be adequately sensitive in terms of linearity, repeatability, and accuracy. The correlation coefficient (R²) was found to be 0.9998, average sample result has been found 0.02 mg/Kg. The results were within the specification of not more than 10 mg/Kg maximum.

Designing a Health Informatics Competency Framework Aligned with Digital Health Transformation and Organizational Practice

Wahg Al Mashaer El Hag — 2025-12-23

The rapid expansion of digital health technologies has reshaped healthcare delivery and increased the demand for advanced, role-specific competencies among nursing informatics professionals. While existing global competency frameworks offer foundational guidance, they often lack the depth and contextual alignment required for specialized informatics roles in highly digitalized healthcare organizations. This study aimed to evaluate current nursing informatics competencies, identify gaps relative to emerging digital health requirements, and develop a comprehensive, adaptive competency framework tailored to the Nursing Informatics Department at Hamad Medical Corporation (HMC), Qatar. A multi-method qualitative research design ensured methodological rigor and triangulation. Data collection included: (1) a systematic review of international competency frameworks and institutional job descriptions; (2) semi-structured interviews with nursing informatics practitioners across role levels; (3) focus group discussions with representatives from informatics operations, quality, and education; and (4) expert review by internationally recognized informatics specialists. This design enabled in-depth exploration of practice expectations, perceived competency gaps, and emerging skill needs in the context of digital transformation. A pilot evaluation further refined the framework for clarity and practical applicability. Findings indicated substantial misalignment between international frameworks and the competencies required within HMC’s digitally mature environment. Published frameworks primarily emphasized foundational informatics literacy but did not adequately address critical domains such as Software Development Life Cycle (SDLC), project and change management, data management and analytics, quality improvement, and digital governance—all of which were embedded in HMC nursing informatics roles. Interviews confirmed the need for clearly defined progression across basic, intermediate, and advanced competency levels, mapped to knowledge, autonomy, standard of work, and decision-making. Focus group discussions structured the final framework into three core domains—Administrative, Nursing Informatics, and Education & Research—comprising twelve subdomains. External expert review validated the framework’s comprehensiveness and alignment with international standards (TIGER, HIMSS, ANA, WHO). The resulting Nursing Informatics Competency Framework integrates global best practices with local operational realities, offering a structured, role-based tool to support workforce development, performance assessment, curriculum design, and digital transformation efforts. Its implementation strengthens the capacity of nursing informatics professionals to serve as strategic partners in system optimization, data-driven decision-making, and innovation—thereby enhancing patient care quality and organizational effectiveness. Implications for practice include the need for healthcare organizations to adopt structured competency-based development pathways, align workforce planning and job profiling with defined competency expectations, and integrate digital health competencies into continuous professional development and training programs. Recommendations for further research include conducting quantitative and mixed-method validation studies, evaluating the framework’s impact on workforce performance and digital health outcomes, and exploring its applicability across other informatics disciplines and healthcare settings to support broader national and regional standardization.

Shifting Substance Use Patterns: Insights from the National Rehabilitation Center, Abu Dhabi

Ahmed Yousif Ali — 2025-12-16

Background: Monitoring trends in substance use is critical for informing public health policy and clinical practice. This study analyzes the temporal patterns of drug positivity in urine samples at the National Rehabilitation Center in Abu Dhabi from 2021 to 2024. Methods: A retrospective analysis was conducted on de-identified urine toxicology data. Screening was performed primarily via immunoassay (DOA), with confirmation and quantitative analysis by Gas Chromatography-Mass Spectrometry (GC/MS) and Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS). The total number of tests processed increased significantly over the study period, from 17,257 in 2021 to 29,672 in 2024, with LC-MS/MS becoming the dominant confirmatory method (from 2,877 tests in 2021 to 13,607 in 2024). Results: Amphetamine-type stimulants remained dominant: total positives rose from 1,771 to 2,991 (2024), driven largely by methamphetamine (1,535 cases in 2024). Concurrently, pregabalin detections more than doubled (650 to 1,575)[3]. Novel psychoactive substances (NPS) emerged sharply: synthetic cannabinoids (e.g. MDMB-4en-PINACA) were first detected in 2023 (223 cases) and reached 440 positives in 2024. In contrast, “classic” drugs declined – for example, morphine and codeine positives fell compared to earlier years. The patient cohort (n≈3,700) was 94.2% male, largely under 40 years, mostly single (60.1%), with secondary-level education common. Primary drugs of abuse were amphetamine-type stimulants (35.9%) and heroin (16.3%). These findings document a rapid transition in Abu Dhabi’s drug landscape: a shift away from traditional opioids and sedatives toward potent stimulants, prescription drugs, and synthetic compounds, underscoring the importance of LC-MS/MS in modern toxicology and the need for dynamic intervention strategies. Conclusion: The data reveals a rapid transition in the substance use landscape in Abu Dhabi, characterized by a decline in some classic drugs and a surge in prescription medications (e.g., Pregabalin, Carisoprodol) and potent synthetic compounds (e.g., Methamphetamine, synthetic cannabinoids). These findings underscore the need for dynamic, evidence-based prevention and treatment strategies that address the evolving nature of substance use disorders. The increased reliance on advanced LC-MS/MS technology highlights its essential role in detecting these emerging substances.

The Hopeless Search for the Dark Matter

Flavio Barbiero — 2025-12-23

This article critically examines the ongoing scientific quest to identify dark matter, arguing that the search is fundamentally misguided due to a mis understanding of the nature of mass. The author contends that what is sought as “dark matter” is not a conventional, invisible mass, but rather the “transverse mass” which is always associated with a mass in motion— which is described mathematically as a complex magnitude with both real and imaginary components. Drawing on the works of Lorentz and Einstein, the article explores how relativistic effects change the stationary observer’s perception of a mass in motion, which is seen as composed by an inertial mass [called longitudinal] responsible for the gravitational field and a mass transverse to the motion that generates a gravito-magnetic field and that is identified with the kinetic energy. The discussion extends to the implications for galactic dynamics, sug gesting that the effects attributed to dark matter may instead arise from the gravito-magnetic fields generated by the transverse mass associated with the longitudinal mass of the stars in motion. The article concludes that the elusive nature of dark matter stems from a conceptual oversight: the missing mass in the universe may already be accounted for as energy associated with motion, rather than as an undiscovered form of matter.