Functional outcome of middle third humeral shaft fractures treated with anteromedial plate osteosynthesis through an anterolateral approach

Background: The main aim of treatment of the humeral shaft fractures is to establish union with an acceptable humeral alignment and to restore the patient to pre-injury level of function. Plate osteosynthesis remains the standard of surgical treatment displaced middle third humeral fractures. The most commonly used approaches for treating these fractures are posterior and anterolateral, but these approaches can have iatrogenic radial nerve injury. Our aim is to study the incidence of radial nerve palsy and functional outcome of anterolateral approach with anteromedial plating.Methods: A total of 26 patients in the age group of 21 to 62 years were included in this prospective study, who were treated by anteromedial plating through anterolateral approach for humerus shaft. Functional assessment was done using Rodriguez-Merchan criteria.Results: 26 patients with shaft humerus fracture were included in the study with 19 (73%) patients were less than 40 years age. Most common type of fracture pattern is A3 type and the mean duration of surgical time was 60±10 min for anteromedial plating. The time taken for the fracture union was less than 4 months in the most patients (88%). There was no evidence of iatrogenic radial nerve injury. Functional assessment done using Rodriguez-Merchan criteria showed 84.6% of the patients had good to excellent functional outcome.Conclusions: For treatment of displaced middle third humeral fractures open reduction with anteromedial plating through anterolateral approach is surgically safer and gives better functional outcome.

Vehicular mm-Wave Array for Smart Handover

[EN] The emergence of new technologies such as autonomous vehicles and high data rate 5G networks requires advanced antenna types that are capable of fulfilling requirements for highly demanding wireless communication links. The array of microstrip-fed slot-coupled patches is one such type of antenna that provides low return loss and good transient behaviour for broadband applications. A compact size slot-coupled patch antenna subarray and its phased array is proposed in this paper. Two different substrates Rogers TMM4 and Green TapeTM 951 Low Temperature Co-Fired Ceramic (LTCC) are considered for the fabrication of microstrip feedline. The feedline is fabricated on the respective substrates and then mounted on a Rogers RT/duroid 5880 laminate. Ground planes are used on both the front and backside of the antenna array. The antenna is operating in a range of 24.25 GHz - 29.5 GHz. A Smart Array is proposed in this paper which has a good performance in terms of antenna gain and scanning property for 5G application in Smart handovers.This work was partly funded by the Ministerio de Ciencia e Innovacion (MICINN) under projects TEC2016-78028-C3-1- P, PID 2019-107885GB-C31, MDM2016-0600, and Catalan Research Group 2017 SGR 219.Bharath Reddy, G.; Ramirez, GA.; Molins-Benlliure, J.; Ferrando Bataller, M.; Romeu, J.; Jofre-R., L. (2020). Vehicular mm-Wave Array for Smart Handover. Universidad de Málaga. 1-4. http://hdl.handle.net/10251/178564S1

Smart Beam Management for Vehicular Networks Using ML

[EN] The mmWave frequencies will be widely used in future vehicular communications. At these frequencies, the radio channel becomes much more vulnerable to slight changes in the environment like motions of the device, reflections or blockage. In high mobility vehicular communications the rapidly changing vehicle environments and the large overheads due to frequent beam training are the critical disadvantages in developing these systems at mmWave frequencies. Hence, smart beam management procedures are desired to establish and maintain the radio channels. In this paper, we propose that using the positions and respective velocities of the vehicles in the dynamic selection of the beam pair, and then adapting to the changing environments using ML algorithms, can improve both network performance and communication stability in high mobility vehicular communications.This work was supported by the Spanish Comision Interministerial de Ciencia y Tecnologia (CICYT) under projects TEC2016-78028-C3-1-P and MDM2016-O6OO, Catalan Research Group 2017 SGR 21, and Industrial Doctorate programme (2018-DI-084) of Generalitat de Catalunya.Bharath-Reddy, G.; Montero, L.; Perez-Romero, J.; Molins-Benlliure, J.; Ferrando Bataller, M.; Molina, J.; Romeu, J.... (2021). Smart Beam Management for Vehicular Networks Using ML. Íñigo Cuiñas Gómez. 1-4. http://hdl.handle.net/10251/1910661

Iron Behaving Badly: Inappropriate Iron Chelation as a Major Contributor to the Aetiology of Vascular and Other Progressive Inflammatory and Degenerative Diseases

The production of peroxide and superoxide is an inevitable consequence of aerobic metabolism, and while these particular "reactive oxygen species" (ROSs) can exhibit a number of biological effects, they are not of themselves excessively reactive and thus they are not especially damaging at physiological concentrations. However, their reactions with poorly liganded iron species can lead to the catalytic production of the very reactive and dangerous hydroxyl radical, which is exceptionally damaging, and a major cause of chronic inflammation. We review the considerable and wide-ranging evidence for the involvement of this combination of (su)peroxide and poorly liganded iron in a large number of physiological and indeed pathological processes and inflammatory disorders, especially those involving the progressive degradation of cellular and organismal performance. These diseases share a great many similarities and thus might be considered to have a common cause (i.e. iron-catalysed free radical and especially hydroxyl radical generation). The studies reviewed include those focused on a series of cardiovascular, metabolic and neurological diseases, where iron can be found at the sites of plaques and lesions, as well as studies showing the significance of iron to aging and longevity. The effective chelation of iron by natural or synthetic ligands is thus of major physiological (and potentially therapeutic) importance. As systems properties, we need to recognise that physiological observables have multiple molecular causes, and studying them in isolation leads to inconsistent patterns of apparent causality when it is the simultaneous combination of multiple factors that is responsible. This explains, for instance, the decidedly mixed effects of antioxidants that have been observed, etc...Comment: 159 pages, including 9 Figs and 2184 reference

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

Object Detection, Localization and Tracking Using Single Shot Detector (SSD)

We are trying to Detect, Localize and classify objects in an image using neural networks. We are using Single Shot detector for performing the task. The output of Single Shot Detector is Bounding boxes. It will try to localize the objects in an image and also tell which object is present in an image. The network predict probability scores of all the classes, we will take the highest probability of all the predicted probabilities. The network also predicts bounding boxes in an image, which can be reduced using NonMax Suppression. Object Detection is most widely used task in computer vision. We can locate objects based on our interest. Object detection is most widely used in real time situations and it has many practical applications. Some of the applications include Vehicle number plate detection, face mask detection, face recognition. Applications include face detection, pedestrian detection and vehicle detection. Single Shot Detector is Deep Learning based algorithm

Object detection, localization and tracking using Single Shot Detector (SSD)

We are trying to Detect, Localize and classify objects in an image using neural networks. We are using Single Shot detector for performing the task. The output of Single Shot Detector is Bounding boxes. It will try to localize the objects in an image and also tell which object is present in an image. The network predict probability scores of all the classes, we will take the highest probability of all the predicted probabilities. The network also predicts bounding boxes in an image, which can be reduced using NonMax Suppression. Object Detection is most widely used task in computer vision. We can locate objects based on our interest. Object detection is most widely used in real time situations and it has many practical applications. Some of the applications include Vehicle number plate detection, face mask detection, face recognition. Applications include face detection, pedestrian detection and vehicle detection. Single Shot Detector is Deep Learning based algorithm