CPAP. Neonatal Airway Obstruction from an Immature Teratoma: The Challenge of Appropriate Investigation in a Low‑resource Setting

Teratoma in the nasopharynx is one of the rare causes for nasal symptoms in the newborn. The present report was on a term “neonate” who had respiratory distress from a hidden teratoma. Cheaper and readily available investigation modalities including postnasal space X‑ray and examination under anesthesia revealed nothing. A postnasal space computed tomography also revealed nothing. Magnetic resonance imaging revealed a mass which was resected endoscopically and histology revealed an immature teratoma. Herein, we present the case, management challenges and literature review to emphasis that negative investigations with persistent nasal symptoms should prompt further evaluation and teratoma should be considered when encountering newborn with nasal symptoms without obvious cause.Keywords: Airway, Immature, Teratom

Gated metabolic myocardial imaging, a surrogate for dual perfusion-metabolism imaging by positron emission tomography

Acknowledgments The authors are grateful for the help from Dr H Ali and Dr A Dawson. Funding: This study was performed using a research grant from the Aberdeen Royal Hospitals Trust's Endowment Fund, with further support from the Department of Medical Physics at the University of Aberdeen, for which the authors express their gratitude.Peer reviewedPublisher PD

Research in Medical Imaging Using Image Processing Techniques

Medical imaging is the procedure used to attain images of the body parts for medical uses in order to identify or study diseases. There are millions of imaging procedures done every week worldwide. Medical imaging is developing rapidly due to developments in image processing techniques including image recognition, analysis, and enhancement. Image processing increases the percentage and amount of detected tissues. This chapter presents the application of both simple and sophisticated image analysis techniques in the medical imaging field. This chapter also summarizes how to exemplify image interpretation challenges using different image processing algorithms such as k-means, ROI-based segmentation, and watershed techniques

Matching Subcarrier Resource Allocation and Offloading Decision

A heterogeneous cellular network can define as a network that is composed of different cell sizes (macrocell (MeNB), small cell (SeNB), femtocell). Such heterogeneity of network is the backbone of the 5G networks where new applications on mobile devices need extensive computing power consumption and ultra-low latency constraints. Using a heterogeneous network will provide multiple paths in which the users’ data can flow through the network depending on the users’ available resources, remaining energy, etc. we study the heterogeneous network model, which contains MeNB, SeNB and femtocells. Also, we propose a matching subcarrier resource allocation and offloading decision (MSRAOD) algorithm, that depends on recourse allocation optimization. The main optimization goal has been set to minimize the total energy consumption of mobile users’ devices with acceptable latency requirements of the applications. Our proposed algorithm results show that the proposed algorithm enhances the average energy consumption of mobile users in the heterogeneous network

Application of Medical Imaging in Diagnosis and Assessment of Myocarditis and Pericarditis

Medical imaging is of one of the most essential means in the investigation of cardiac disorders. In patients, the detection of the whole heart and its adjacent tissues is a crucial procedure since it helps in myocarditis and pericarditis managements. Weekly, there are millions of cardiac imaging performed globally. Medical imaging and processing techniques such as image segmentation, augmentation, and scrutiny can detect cardiac lesions rapidly and precisely. This chapter discusses the application of medical imaging in the diagnosis of myocarditis and pericarditis. This chapter also summarized how to demonstrate image interpretation challenges using diverse image processing procedures and techniques

The Role of Magnetic Resonance Imaging (MRI) in Autonomic Nervous System Monitoring

Medical imaging of the nervous system is the methodology used to achieve pictures of parts of the nervous system for therapeutic uses to recognize the ailments. Magnetic resonance imaging (MRI) is a kind of medical imaging tool that utilizes solid magnetic fields and radio waves to deliver point-by-point pictures of the inside of the body. There are large number of imaging methodologies done each week around the world. Medical imaging is developing rapidly due to developments in image acquisition tools including functional MRI and hybrid imaging modalities. This chapter abridged the role of magnetic resonance imaging (MRI) in autonomic nervous system monitoring. This chapter also summarizes the image interpretation challenges in diagnosing autonomic nervous system disorders

Could Alfa fibers substitute glass fibers in composite materials?

In the present work polyester resin composites with Alfa fibers in the form of pulp were prepared and their properties were compared with those of polyester resin reinforced with glass fibers, the latter composites being widely used for structural applications. The composites were prepared using two manufacturing processes, namely hand lay-up and vacuum molding, to assess the influence of the process on the composites properties. Firstly, the tensile properties for the two composites were evaluated. The composites thermal properties were studied by differential scanning calorimetry and thermogravimetric analysis. Finally, the morphology of a glass fiber composite (GFC) and Alfa pulp composite (APC) was analyzed by scanning electron microscopy, to characterize the composites surface and cross-sections.The authors would like to thank CTC (Centre technique de la Chimie) for their valuable help during mechanical testing. The company Solutions Composites, especially Mr.Adel Hammami is gratefully acknowledged for financial and material support. The authors also wish to thank the members of the Department of Polymer Engineering University of Minho, Guimarães, Portugal for their valuable cooperation. This research work is carried out as part of a mobidocPhD, a program financed by the European Union within Pasri Projet. M.C Paiva acknowledges the Portuguese Foundation for Science and Technology (FCT) and the European program FEDER/COMPETE for the financial support through project PEst-C/CTM/ LA0025/2013 (LA 25-2015-2017)

About A Rare Cause Of Primary Hyperparathyroidism

Introduction: Primary hyperparathyroïdism is observed in 35 to 44 subjects/ 100000 persons. The increased production of parathyroid hormones is secondary to primary glandular modifications consisting mainly in adenomas. The authors report a clear-cell hyperplasia causing primary hyperparathyroidism. Observation: We report the case of a 25-year-old man who was admitted to explore pathologic fractures of the left arm and a malignant hypercalcaemia. Complementary laboratory tests revealed primary hyperparathyroidism. A multiple endocrine neoplasia was excluded by radiologic examinations. Cervical ultra-sound examination revealed 2 parathyroid adenomas and per-operative exploration showed 3 « adenomas ». Microscopic examination of the 4 parathyroid glands specimen concluded to a clear cell hyperplasia. Conclusion: Clear cell hyperplasia is a benign cause of primary hyperparathyroidism. The diagnosis is based upon histologic findings and examination of the 4 glands

Search for the production of dark fermion candidates in association with heavy neutral gauge boson decaying to dimuon in proton-proton collisions at s=8\sqrt{s} = 8 TeV using the CMS open data

This analysis shows a search for dark fermion particles produced in association with a heavy neutral gauge boson (Z$^{\prime}$). The studied events topology are dimuon and a large missing transverse momentum. %We considered the muonic decay of Z$^{\prime}$. The analyzed data were the Open Data collected by the CMS detector in proton-proton collisions at the LHC in 2012 and correspond to an integrated luminosity of 11.6 fb$^{-1}$ at $\sqrt{s} =$ 8 TeV. One benchmark scenario the light vector was used for interpreting the data, based on a simplified model so called the mono-Z$^{\prime}$ model. No evidence of dark fermion candidates was found, 95$\%$ confidence level limits have been set on both Z$^{\prime}$ and dark fermion masses.Comment: 10 pages. arXiv admin note: substantial text overlap with arXiv:2103.04326, arXiv:2109.1127