Desarrollo de un sistema de control de equipos Midi a través de Wi-Fi sobre el protocolo Open Sound Control

La finalidad de este proyecto es el desarrollo de un dispositivo que permita realizar de manera inalámbrica el control de toda clase de equipos MIDI, tales como sintetizadores o mesas de mezclas. Las aplicaciones prácticas que puede tener un dispositivo de estas característica son múltiples, tales como simplificar el conexionado en un estudio de grabación, controlar a distancia instrumentos musicales, y facilitar el uso de dispositivos portables y de amplio acceso tales como teléfonos móviles y tablets para controlar diversos equipos de audio. El desarrollo del proyecto consistirá en primer lugar en la búsqueda y adquisición de los componentes hardware y software necesarios para el diseño del dispositivo, y en segundo lugar del diseño, programación y puesta en funcionamiento de un prototipo del mismo

AUTOPARAMETRIC STABILIZER OF OSCILLATION AMPLITUDE

A method of automatic maintenance of vibration amplitude of a number of mechanisms at given level, when exiting force amplitude is varied greatly is given. For this purpose a pendulum is attached to a mechanism through a viscoelastic hinge. Load of a pendulum can move along an arm and it is viscoelastic connected to it

Oncological Airway Emergencies in the Critical Care Unit

Malignancies involving the upper and lower airways can be presented as acute and/or acute-on-chronic life-threatening emergencies. Most of them require intensive care unit (ICU) admission and acute intervention. Such emergencies include but are not exhaustive to epistaxis, massive hemoptysis, central airways obstruction, postobstructive pneumonia, tracheoesophageal fistula, and pleural disease. These are frequent consequences of disease, iatrogenicity, and various pleural diseases causing respiratory failure. The incidence, physiology, symptoms, and sequelae of each disease will be outlined in addition to potential surgical, pharmacologic, and conservative interventions. An anatomical approach from the upper airway, lower airway, mediastinum, and pleura will be taken. Here, we discuss interventions such as emergent cautery, nasal packing, emergent airways, and tracheostomy in addition to a brief glance at other surgical modalities. We will also detail central airway complications such as obstructing endobronchial tumors, massive hemoptysis, bronchoscopy, rigid bronchoscopy, stent placement, and other interventions (cautery, cryotherapy, one-way valves). Finally, pleural disorders such as tension pneumothorax, bronchopleural fistulas, massive pleural effusion, and hemothorax will be reviewed

On the Deformation of a Hyperelastic Tube Due to Steady Viscous Flow Within

In this chapter, we analyze the steady-state microscale fluid--structure interaction (FSI) between a generalized Newtonian fluid and a hyperelastic tube. Physiological flows, especially in hemodynamics, serve as primary examples of such FSI phenomena. The small scale of the physical system renders the flow field, under the power-law rheological model, amenable to a closed-form solution using the lubrication approximation. On the other hand, negligible shear stresses on the walls of a long vessel allow the structure to be treated as a pressure vessel. The constitutive equation for the microtube is prescribed via the strain energy functional for an incompressible, isotropic Mooney--Rivlin material. We employ both the thin- and thick-walled formulations of the pressure vessel theory, and derive the static relation between the pressure load and the deformation of the structure. We harness the latter to determine the flow rate--pressure drop relationship for non-Newtonian flow in thin- and thick-walled soft hyperelastic microtubes. Through illustrative examples, we discuss how a hyperelastic tube supports the same pressure load as a linearly elastic tube with smaller deformation, thus requiring a higher pressure drop across itself to maintain a fixed flow rate.Comment: 19 pages, 3 figures, Springer book class; v2: minor revisions, final form of invited contribution to the Springer volume entitled "Dynamical Processes in Generalized Continua and Structures" (in honour of Academician D.I. Indeitsev), eds. H. Altenbach, A. Belyaev, V. A. Eremeyev, A. Krivtsov and A. V. Porubo

Diffusion-adapted spatial filtering of fMRI data for improved activation mapping in white matter

Brain activation mapping using fMRI data has been mostly focused on finding detections in gray matter. Activations in white matter are harder to detect due to anatomical differences between both tissue types, which are rarely acknowledged in experimental design. However, recent publications have started to show evidence for the possibility of detecting meaningful activations in white matter. The shape of the activations arising from the BOLD signal is fundamentally different between white matter and gray matter, a fact which is not taken into account when applying isotropic Gaussian filtering in the preprocessing of fMRI data. We explore a graph-based description of the white matter developed from diffusion MRI data, which is capable of encoding the anisotropic domain. Based on this representation, two approaches to white matter filtering are tested, and their performance is evaluated on both semi-synthetic phantoms and real fMRI data. The first approach relies on heat kernel filtering in the graph spectral domain, and produced a clear increase in both sensitivity and specificity over isotropic Gaussian filtering. The second approach is based on spectral decomposition for the denosing of the signal, and showed increased specificity at the cost of a lower sensitivity.Novel approach to white matter filtering We introduced new advanced methods for filtering brain scans. Using them, we managed to improve the detection of activity in the white matter of the brain

What is the best data augmentation for 3D brain tumor segmentation?

Training segmentation networks requires large annotated datasets, which in medical imaging can be hard to obtain. Despite this fact, data augmentation has in our opinion not been fully explored for brain tumor segmentation. In this project we apply different types of data augmentation (flipping, rotation, scaling, brightness adjustment, elastic deformation) when training a standard 3D U-Net, and demonstrate that augmentation significantly improves the network's performance in many cases. Our conclusion is that brightness augmentation and elastic deformation work best, and that combinations of different augmentation techniques do not provide further improvement compared to only using one augmentation technique. Our code is available at https://github.com/mdciri/3D-augmentation-techniques

To what extent did Federal Stimulus and Federal Reverse Monetary Policy during the COVID-19 Pandemic contribute to the current inflation?

The COVID-19 pandemic prompted governments worldwide to implement a range of measures to mitigate the socioeconomic consequences of the crisis. In the United States, the Federal Reserve and the federal government deployed substantial fiscal stimulus and monetary policy interventions to support businesses, individuals, and the overall economy. This study examines how these actions have contributed to the inflationary trends observed today. Drawing from the comprehensive review of academic literature, economic reports, and policy documents, this research investigates the relationship between Federal stimulus and Federal Reserve monetary policy during the COVID-19 pandemic and the emergence of inflationary pressures. Findings from the analysis suggest that while Federal stimulus and monetary policy initiatives were crucial in mitigating the immediate economic downturn caused by the pandemic, they have also contributed to the current inflationary environment. The injection of substantial fiscal stimulus, including direct payments, enhanced unemployment benefits, and business loans, increased aggregate demand, potentially fueling price increases across sectors. Furthermore, the Federal Reserve's accommodative monetary policy, characterized by near-zero interest rates and large-scale asset purchases, aimed to support financial markets and stimulate borrowing and investment. This study acknowledges that other factors, such as global supply chain disruptions, pent-up consumer demand, and commodity price fluctuations, have also influenced the current inflationary environment. Nevertheless, the research findings highlight the role of Federal stimulus and monetary policy in exacerbating inflationary pressures. The study concludes by emphasizing the need for policymakers to balance economic support measures with inflation containment strategies carefully

Vox2Vox: 3D-GAN for Brain Tumour Segmentation

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histological sub-regions, i.e., peritumoral edema, necrotic core, enhancing and non-enhancing tumour core. Although brain tumours can easily be detected using multi-modal MRI, accurate tumor segmentation is a challenging task. Hence, using the data provided by the BraTS Challenge 2020, we propose a 3D volume-to-volume Generative Adversarial Network for segmentation of brain tumours. The model, called Vox2Vox, generates realistic segmentation outputs from multi-channel 3D MR images, segmenting the whole, core and enhancing tumor with mean values of 87.20%, 81.14%, and 78.67% as dice scores and 6.44mm, 24.36mm, and 18.95mm for Hausdorff distance 95 percentile for the BraTS testing set after ensembling 10 Vox2Vox models obtained with a 10-fold cross-validation