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Introduction: The temporal region is emblematic and challenging due to its structural and volumetric changes during aging, which significantly affect facial aesthetics. Despite the importance of addressing temporal aging, many injectors hesitate due to the region's anatomical complexity and risk of complications. This consensus aimed to provide expert guidance on the safest and most effective treatment strategies for the temple., Methodology: Twelve Brazilian dermatologists and plastic surgeons with expertise in cosmiatry participated in a survey of 54 objective and one open-ended question to identify best practices. The results were analyzed for consensus, with agreement categorized as a simple majority (50-75%), consensus (> 75%), or strong consensus (> 95%)., Results: Participants agreed that volumization (100%), lifting (90%), and restructuring (82%) are essential for temporal rejuvenation. Hyaluronic acid (HA) was the preferred product for volumization and structuring, with the subcutaneous plane identified as the best option for both. There was no consensus on the product for lifting, though 45.5% favored poly-L-lactic acid (PLLA). Biostimulants such as PLLA and calcium hydroxyapatite were commonly used, with specific dilution strategies. Complications reported included hematomas and nodules, particularly with HA and PLLA., Conclusion: The consensus emphasized the importance of anatomical knowledge and product selection in achieving safe and long-lasting results in temporal rejuvenation. It provided clear recommendations for injection techniques and product choices, advocating for subcutaneous plane treatments for beginners. The findings highlight the need for expert-driven approaches to reduce the risk of complications and optimize patient outcomes in this sensitive region., Level of Evidence V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 ., Competing Interests: Declarations. Conflict of interest: No conflict of interest for this study for all the authors. Ethical Approval: For this type of study, there is no need for assessment by an ethics committee, but all ethical principles were followed. Consent to Publication: Not applicable., (© 2024. Springer Science+Business Media, LLC, part of Springer Nature and International Society of Aesthetic Plastic Surgery.)

Background: Mechanical ventilation in the intensive care unit (ICU) is a life-saving technique for patients with acute respiratory failure, but is also associated with a high incidence of complications in the injured lung. Currently, there is no widely used monitoring technique to guide the ventilator setting to facilitate a precision medicine approach or to provide a real-time alert for developing adverse pulmonary conditions. Conventional ultrasound has been used as a thoracic bedside technology, but the lack of signal penetration into lung tissue results in images that often contain more information in their artifacts than in the images themselves. Perhaps the greatest obstacle to using traditional ultrasound in the ICU is the need for highly skilled technicians to perform the data collection. In contrast, low-frequency ultrasound (50-500 kHz) has been shown to penetrate the lung, and can detect air trapping in patients with chronic obstructive pulmonary disease (COPD)., Purpose: Here, we present a method of collecting low-frequency ultrasound computed tomographic (USCT) data in vivo on a mechanically ventilated porcine model and computing tomographic reconstructions of airflow during tidal breathing and induced lung injuries. We evaluate the ability of the novel low-frequency USCT system to image regional changes in sound speed in the thorax due to changes in airflow during tidal breathing and induced lung injuries. This represents the first study of low-frequency tomographic ultrasound imaging in vivo and the first to produce tomographic images of ventilatory changes in vivo., Methods: USCT and computed tomography (CT) scan data were collected alternately on a mechanically ventilated Landrace pig weighing approximately 75 kg during tidal breathing, induced pneumothorax, atelectasis, and pleural effusion. The pneumothorax was induced by injecting air through a 5 mm thick intrathoracic tube inserted in the 8th posterior intercostal space. After removing the air, atelectasis was induced by ventilating the animal with a high concentration of oxygen and low tidal volumes. The pleural effusion was induced by injecting a saline solution through the tube. The USCT data were collected at 125 kHz using the USCT low-frequency ultrasound tomography (LUFT) system on a transducer belt placed around the animal's thorax. Tomographic reconstructions were computed from the USCT data using a regularized refraction-corrected Gauss-Newton-based time-of-flight reconstruction algorithm., Results: Cyclic changes in computed lung area during tidal breathing were demonstrated to agree with the respiratory rate on the mechanical ventilator. Reconstructed images computed at time steps during the procedure demonstrate regional changes consistent with what would be expected during the induced lung injury. No ground truth was available for images during the procedures since CT scans could only be taken before and after each established lung injury., Conclusions: In this work, we have demonstrated in the first in vivo study using a mechanically ventilated porcine animal model that low-frequency ultrasound tomography has the ability to image regional changes in sound speed in the thorax corresponding to changes in airflow during tidal breathing and induced lung injury. The results show promise for using low-frequency USCT as a bedside imaging technique in the future for patients with acute respiratory distress syndrome., (© 2024 The Author(s). Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.)

This paper describes the development of an automatic cycling performance measurement system with a Fuzzy Logic Controller (FLC), using Mamdani Inference method, to classify the performance of the cyclist. From data of the average power, its standard deviation and the effective force bilateral asymmetry index, a score that represents the cyclist performance is determined. Data are acquired using an experimental crank arm load cell force platform developed with built-in strain gages and conditioning circuit that measure the force that is applied to the bicycle pedal during cycling with a linearity error under 0.6%. A randomized block experiment design was performed with 15 cyclists of 29±5 years with a body mass of 73±9kg and a height of 1.78±0.07m. The average power reached by the subjects was 137.63±59.6W; the mean bilateral asymmetry index, considering all trials, was 67.01±6.23%. The volunteers cycling performance scores were then determined using the developed FLC; the mean score was 25.4% ± 16.9%. ANOVA showed that the subject causes significant variation on the performance score.