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    614 research outputs found

    Renormalizing the Mass and the Electric Charge of the Electron (The Mystery of the Heavy Mass of the Muon)

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    In this article we will discuss the renormalization of the mass and the electric charge of the extended electron in the interaction of the electron with the external fields. Originally, the renormalization procedure was introduced in the decades 20’s and 30’s of 20th century as a mathematical process used to remove infinity terms in the calculations in quantum mechanics (Section 3). But now many contemporary physicists have used the term “ renormalization” in a simpler meaning: it simply means modification or adjustment of the original mass or electric charge of the electron by a dimensionless factor, called renormalizing factor (Section 4). The article contains 10 sections: Section 1: Old concept of mass and charge: the mass of the electron varies with velocity, while its electric charge is a fundamental constant of physics. Section 2: Contemporary concept: physicists maintain that the mass of the electron is invariant in all physical conditions, while its electric charge varies with velocity and external field. Section 3: Renormalization of mass is problematic. Section 4: Renormalization of electric charge is innovative. Section 5: Search for the renormalizing factor for the electric charge. Section 6: Renormalizing Lorentzian force (FL) and Newtonian force (FN). Section 7: A thought experiment to demonstrate the variability of the electric charge. Section 8: The mystery of the heavy mass of the muon. Section 9: The controversial concept of time dilation. Section 10: The field reaction does not exist physically

    Dream Code: Unlocking Your Next Level — Exploring Motivation, Impact, and Educational Implications

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    Dream Code: Unlocking Your Next Level is a poetry collection by Dr. Rene’ Level intended to inspire personal growth, self‑belief, and transformative action. This article examines the motivations behind the writing of the book, the dynamics of its launch event, and early responses from readers and attendees. Using qualitative methods—including interviews, event observations, and survey feedback—findings reveal themes of empowerment, hope, and community engagement. The book launch acted as a catalyst for collective reflection and intention-setting. Implications are discussed for educators and community leaders seeking to integrate poetry and creative expression into empowerment programs

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

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    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

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

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    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

    Impact of Foreign Financial Inflows on Economic Growth of Tanzania

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    This study analyses dynamic relationships between foreign financial inflows specifically external debt and foreign aid with economic growth in Tanzania from 1990 to 2024 using Granger causality, Johansen cointegration tests, and a Vector Error Correction Model (VECM). The unidirectional causality of economic growth to foreign aid according to the Granger causality test indicates that GDP growth enhances the ability of Tanzania to receive foreign aid due to perhaps increased donor confidence. But foreign aid and external debt hardly affect short-run economic growth, suggesting their effects on GDP during the short run are negligible. Support for long-run equilibrium of the macroeconomic variables being considered comes from Johansen cointegration results, warranting the use of VECM for both short- and long-term analysis. VECM results further suggest inefficient use of capital is a bane to short-run GDP growth, whereas foreign aid and external debt remain statistically insignificant in the short run. Sustained foreign aid inflows and their positive response to lagged GDP underscore the role of long-term growth in bringing aid. Moreover, the study finds a high correlation between foreign aid and external debt, with environmental degradation as a leading cause connected to increased debt levels, depicting the complex interplay between economic, financial, and ecological conditions. Robust diagnostic tests establish the validity and reliability of VECM estimates. In conclusion, the findings underscore the significance of policies that are geared towards promoting the efficiency in capital, effective management of debt, foreign aid sustainability, and environmental integration to achieve Tanzania's long-term stability and growth in the economy

    Voices Beyond Silence: A Comparative Study of Two Professors as Pioneers of Academic Inclusion Through AAC Technologies

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    Voices Beyond Silence presents a comparative biographical analysis of Professor Sara Ahlin Doljak (Slovenia) and Professor Matthew Wangeman (United States), two pioneering academics who transform the role of augmentative and alternative communication (AAC) technologies in higher education. Drawing on the medical and social models of disability, posthumanist theory and the concept of technological embodiment, the study examines how eye-gaze systems, speech-generating devices and predictive text software enable full academic participation, authority and professional identity. Using a qualitative comparative case study based exclusively on triangulated secondary sources, the article demonstrates that AAC functions not merely as an assistive aid but as a “technological voice” that reshapes epistemic inclusion by legitimizing diverse communication modalities within academic environments. The findings show that Doljak and Wangeman challenge the long-standing association between vocal speech and intellectual credibility, revealing AAC as a tool of empowerment, dignity and pedagogical innovation. The article concludes by highlighting institutional implications for universities and outlining future research needs regarding digital voice ethics and cross-cultural implementation of AAC in higher education. Ultimately, the study argues that the future of academic communication will be judged by the content of one’s voice, not by its physical carrier

    Fuzzy Logic and FFBNN based Detection of Spine Osteoporosis through Dual Energy X-Ray Absorptiometry (DEXA) Images

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    Osteoporosis is a disease that affects bones, it makes them fragile and susceptible to break. Recently, Dual-Energy X-ray Absorptiometry (DEXA) technology is being used to detect osteoporosis with low levels of radiation compared to X-Ray and CT-Scans. In this article, evaluation of the effectiveness of features extracted from DEXA images in detecting osteoporosis in the cervical vertebrae was tested. Machine learning (ML) and artificial intelligence (AI) techniques represented by fuzzy logic and feed forward back-propagation neural networks (FFBNN) are used to achieve an accurate detection of Osteoporosis. Fourteen features representing (histogram, texture, statistical, and Haar wavelet) types were tested. Three membership functions (MFs) namely: (Gaussian, Bell and Triangle) and three de-fuzzification techniques were used using Mamdani Fuzzy Inference System (FIS). In this phase of classification, a success rate achieved was 90%. Artificial Neural Network (ANN) represented by FFBNN is depended to complete the proposed classification system. Depending on (11, 7, 4, and 2) neurons having two output neurons and based on the Tansig function, the training succeeded with a performance of 10-8. The training passed for 28 inputs, and for 5 test cases among 7 cases to reach a success rate of 94.28% and the overall classification (Fuzzy + FFBPNN) succeeded by a rate of 99.4% by classifying 349 images among 351

    What can the Central European Cultural Area Give Mankind?

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    All cultures of peoples have contributed to the cultural history of mankind, more or less. We are currently experiencing a changing world in which many valuable things seem to be getting lost. It therefore makes sense to reflect on the important positive contributions of different cultural areas. This is about Central Europe, i.e. German-speaking countries. A large number of exponents are presented with their contributions to music, philosophy, literature, enlightenment and spirituality. It is noticeable that the period between the Middle Ages and modern times stands out, characterized by terms such as classicism, romanticism, idealism and humanism. The permeation of nature by the divine spirit is particularly striking, as is the love of nature. This stands in contrast to the materialism that currently prevails. A return to the values of this important period in Central Europe seems valuable

    Band Offsets at the Interface of 4H-SiC/SiO2

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    The author through this brief communication wishes to publicize the findings of the band offsets at the Si-faced 4H-SiC/SiO2 interface through an intense and focused research in the area of Metal-Insulator-Semiconductor (MIS) characterization in an academic environment, since the starting of his Ph.D. in 1989 to eight years work from home from March 2017 to February 2025, a total of over 35 years.&nbsp

    Research Comprising New Formulae and Equations

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    The author encapsulates all his research containing new formulae and equations on semiconductors and semiconductor devices through this brief communication to make referencing of the author’s studies easily accessible to the scientific community.  The research studies surround the theme of Metal-Insulator-Semiconductor (MIS) characterization

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