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    381 research outputs found

    Nanopowder Boron Compounds Doped with Ferromagnetic Clusters for BNCT

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    Study examines the problem of development of novel nanomaterials serving for boron 10B isotope delivery agents in Boron-Neutron-Capture-Therapy (BNCT). For this purpose, there is done a mini-review on Nano powder boron compounds especially prospective for BNCT; magnetic Nano carriers of the therapeutically active agents in general, delivery of which can be controlled by using of an external magnetic field; as well as methods of synthesis of nanocomposites comprising components of both kinds. Based on recent literature analysis, boron nitride and boron carbide Nano powders doped with ferromagnetic iron oxide nanoclusters are recommended for BNCT as effective delivery agents with good biocompatibility

    Cross-Project Fault Prediction using Artificial Intelligence

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    Software defect prediction project focuses on finding errors or flaws in software and aiming to improve accuracy which gives evolution batch with detectable results while adding to modern outcomes and advancement liability foretelling defective code regions can assist initiators with recognizing bugs and arrange their test activities. The percentage of groups providing the legitimate foretelling is fundamental for early identification

    Unveiling Advanced Computational Applications in Quantum Computing: A Comprehensive Review

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    The field of advanced computing applications could experience a significant impact from quantum computing, which is a rapidly developing field with the potential to revolutionize numerous areas of science and technology. In this review, we explore into the various ways in which complex computational problems could be tackled by utilizing quantum computers, including machine learning, optimization, and simulation. One potential application of quantum computers is in machine learning, where they could be used to improve the accuracy and efficiency of algorithms. Complex optimization problems, such as those encountered in logistics and finance, can be addressed using quantum computers as well. Furthermore, the utilization of quantum computers could enable the simulation of intricate systems, such as molecules and materials, leading to significant applications in fields like Physics and Material Technology. Although quantum computers are currently in the early stages of development, they possess the potential to propel numerous areas of science and technology forward in a significant manner. Further research and development are needed to fully realize the potential of quantum computing in the field of advanced computing applications

    The COVID-19 Omicron Wave in the Framework of a New Mathematical Modeling in Few European Countries and the Right Time for Lifting Restrictions

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    Objectives: The COVID-19 Omicron wave in Romania, Bulgaria and Germany is considered in retrospective till begin of March 2022. The aim is to describe both country specific features and common trends related the same underlying pathogen as well as to compare shortly the results and derived parameters to those from a similar application to few strongly affected countries in the beginning of 2022: the USA, the UK and France. Methods: The main novelty of the approach used to describe the Pandemic is the dynamical tracking of successive generations of infected people instead of treating in time the evolution of few large compartments within which the total population is partitioned. Results: The daily observed new infection cases are described over a large time scale in a reasonable way after normalization and the derived model parameters in all cases are consistent. The position of the calculated Pandemic peaks in time in Romania and Bulgaria indicates a transition from the second to the third generation of infected people while in the larger countries the transition is from the third to the fourth generation. Conclusions: The rapidly acquired temporary immunity and vaccination effects reinforced the expectation of eventually control/stop the COVID-19 Pandemic soon. However, lifting restrictions should have been done carefully and country specifically, and of course at the right time. Later developments after March 2022 have shown that the expectations were too optimistic and Omicron waves generated by another virus sub-variants did complicate the situation

    Atypical Origin of the Saphenous Nerve and a Variation of the Right Iliacus Muscle: A Case Report

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    During a routine cadaveric dissection of the posterior abdominal wall, variations of the bilateral lumbar plexus and a variant saphenous nerve originating in the lower abdomen were noted and documented. The description of a saphenous nerve originating at the level of the lumbar plexus is, to the best of our knowledge, the first of its kind. Further study revealed more variations at the root of the lumbar plexus and bilateral branching patterns. A variant iliacus muscle entrapping the superior portion of the femoral nerve was also observed on the right side within the abdominal cavity. These variations are discussed in the context of risk of clinical intervention in this anatomical region

    Overall Prevalence and Clinical Significance of a Retroesophageal Right Subclavian with a Non-Recurrent Right Laryngeal Nerve in an 83-year-old and a 93-year-old White Male Donor

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    Head and neck anatomic variations are common and generally go undetected, but may be clinically significant or have important surgical consequences. Knowledge of various abnormalities is important for clinical decision making and the avoidance of iatrogenic complications. Anomalies of the aortic arch and its various branches are relatively common. However, rare variations with profound clinical sequelae can occur. During recent cadaveric dissection, we identified an 83-year-old and a 93-year-old White male donor who both had a right retroesophageal subclavian artery with an associated non-recurrent right laryngeal nerve. Lack of knowledge of this anatomic variation can directly result in severe consequences for patients and lead to major morbidity. Understanding this variation and recognizing it will be important for anatomists, radiologists and surgeons

    Digital Fracture: New Approach for 3D Organ Modeling

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    Biofabrication emerged a few years ago as a new research field with a set of promising technologies that have the potential to impact multiple sectors. In this field, the idea of 3D bioprinting originated from rapid prototyping (additive manufacturing) technology. This technology consists of some steps or stages, the first of which is the development of virtual computer models. However, there are some challenges to be overcome in order to develop reliable models for bioprinting purposes. Here, we present the proposal of a workflow using free and open-source software to produce reliable organ models from computerized tomography (CT) and magnetic resonance imaging (MRI) scans. We also propose the concept of digital fracture as a novel approach applicable to generating computer-aided design (CAD) models, especially for 3D bioprinting processes. This novel strategy can be used as an organic way to create smaller organ models compatible with some limitations of the current bioprinters, including relatively low speed, limited spatial resolution, and low accuracy

    Effect of Static Atomic Charges on Small Elemental Clusters: Evidence from Boron

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    Study examines the effect of static atomic charges on small elemental clusters relative stability. For this purpose equilibrium bonds length and specific (per atom) binding energy of all-boron neutral, anionic and cationic planar clusters Bn containing n ≤ 15 atoms are calculated in the frames of phenomenological diatomic molecular model imagining the cluster as a construction of pair interatomic chemical bonds. In elemental clusters, which are finite structures of chemically identical but differently coordinated atoms, static charges of atoms are assumed to be proportional to their coordination numbers. Most symmetric clusters have revealed the non-monotonic dependencies of B-B length and specific binding energy on n, which seem to be related with differences in their structures. Obtained results provoke reconsidering the usual assumption that the equilibrium isomer of a cluster corresponds to its highest symmetry even at the significant static electrical charges localized on atomic sites

    Connecting Strategy, Execution and Enhance Value Creation (CSEEK) with M&A: 12 Point Success Formula

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    Building a sustainable organization with organic growth, healthy ROI is complex, and the complexity will be amplified with mergers and acquisitions (M&A), particularly in financial vertical due to offerings – products and services to its customers. This paper explores a prevalent pattern in mergers and acquisitions, especially the upcoming challenges of post-integration engineering regarding business data and IT systems. We propose an adaptive strategy to mitigate these risks, cut costs, and achieve expected business growth. The most traditional models of M&A will work; however, the value realization may not be optimal, therefore, the authors propose a 12-point success formula by connecting strategy, execution and enhance value creation framework

    Variation of Myotendinous Junction with Muscle’s Tensile Strength: A Case Report

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    It was hypothesized that the complexity and arrangement of Myotendinous Junction of a muscle will be dependent on its usage (on a daily basis) and tensile strength. The more used muscle should have a sharper MTJ. In this study, three muscles were chosen namely- Soleus, Gastrocnemius and Plantaris. These muscles highly differ on their tensile strength. On histological study similar results were observed

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