MFU

Mojgan Amiri, G. Ajasllari, A. Llane, G. Casabona, Tatjana Pavicic, Julia Sevi, Julieta Spada, V. Vachiramon, Rossana Vasconcelos, S. Wah, T. Muka, Sabrina G. Fabi

Abstract   Microfocused ultrasound with visualization (MFU-V) is an advanced, noninvasive cosmetic procedure widely performed for skin lifting and tightening. We performed a systematic review and meta-analysis to evaluate the aesthetic effectiveness, patient satisfaction, skin quality, and safety profile of MFU-V treatment. A comprehensive search of 5 bibliographic databases up to 2023 was conducted. Pooled effect estimates with random effects models and corresponding 95% confidence intervals were calculated. Out of 4019 references, 42 studies were included. Meta-analysis showed 89% of patients (95% CI: 81%-94%; I2: 63%, n = 411) demonstrated some degree of global aesthetic improvement, as assessed by investigators. Similarly, 84% of patients (95% CI: 73%-91%; I2: 64%, n = 312) reported improvement following treatment. Satisfaction of any level was reported by 84% of patients (95% CI: 61%-94%; I²: 52%, n = 326), and 62% (95% CI: 37%-82%; I²: 3%, n = 172) when “neutral” as a response option was provided for patients. Skin quality (eg, wrinkles, texture) also improved. Patients reported a pooled mean pain score of 4.85 (95% CI: 4.35, 5.35; I2: 97%, n = 785), indicating moderate pain. Common adverse events included erythema, edema, swelling, bruising, and tenderness, all of which were generally mild to moderate in severity. Overall, our analysis demonstrated a notable increase in global aesthetic improvement and patient satisfaction following MFU-V treatment, accompanied by moderate pain and a generally favorable safety profile. However, the potential misclassification of neutral responses as positive may result in an overestimation of the treatment's efficacy. These findings highlight the need for well-designed trials to further explore MFU-V's clinical applications. Level of Evidence: 3 (Therapeutic)

Amanda Doyle, Iris Looi, Paul Chu

BACKGROUND Microfocused ultrasound with visualization (MFU-V) and hyperdilute calcium hydroxylapatite-carboxymethylcellulose (CaHA-CMC) dermal injections are effective for improving skin laxity in the lower face and submentum by stimulating neocollagenesis and neoelastogenesis. OBJECTIVES Combining these treatments in an optimal order may inform best practices in aesthetic dermatology. Despite their frequent concurrent use, no study has evaluated the impact of treatment order. This study aimed to determine the optimal sequence for administering MFU-V and hyperdilute CaHA-CMC. METHODS Twelve healthy women aged 35-65 were randomized into two groups. Group A received MFU-V followed by hyperdilute CaHA-CMC six weeks later, while Group B received the treatments in the opposite order. Evaluations included histological assessments, aesthetic outcomes, and safety measures. RESULTS Group A showed greater improvements in subjective global aesthetic improvement scale (sGAIS), investigator global aesthetic improvement scale (iGAIS), and FACE-Q patient-perceived age visual analog scale (VAS) scores. Both groups exhibited similar improvements in FACE-Q Satisfaction with Lower Face and Jawline scores. Histologically, both groups demonstrated significant elastin production at the 120-day follow-up. Group A showed a 143% relative increase in elastin coverage, compared to a 63% increase in Group B. Consequently, Group A exhibited superior qualitative and histologic improvements. CONCLUSIONS Administering MFU-V first, followed by hyperdilute CaHA-CMC six weeks later, is the optimal sequence for this combination therapy. Although both groups experienced increased elastin synthesis and aesthetic improvements, the order of treatments significantly impacted the outcomes, favoring the sequence used in Group A. This finding provides valuable insight for optimizing combination therapies in aesthetic dermatology.

Lihua Wu, Jiaquan Yan, Yanming Zhang, Mingquan Hong, Hongcai Zhang, Shirong Liao

Seismic phase picking aims to accurately identify and label the arrival times of different types of seismic waves (e.g., P-waves and S-waves) from waveform data, serving as a fundamental step in seismological research and related applications. Although existing deep learning–based methods have achieved notable accuracy, their architectural designs are often overly complex. In this paper, we propose a Multi-Scale Fusion U-Net architecture (MFU-Net), aiming to achieve significant recognition performance through straightforward enhancements to the traditional U-Net design. Specifically, we design a multi-scale feature fusion module within the skip connections of the U-Net architecture to effectively integrate multi-scale semantic and spatial information. This is followed by the incorporation of a multi-head attention mechanism in the bottleneck layer to enhance the recognition of critical feature regions. Finally, a weighted class-balanced loss is introduced into the loss function to improve the model’s ability to identify minority classes. Tests conducted on the seismic dataset provided by the Fujian Earthquake Agency and the open-source STEAD dataset show that, compared to GPD, SegPhase, and SEANet, the proposed MFU-Net achieves improvements of 1.6% and 1.4% in P-wave picking accuracy, and enhancements of 4.1% and 2.7% in S-wave picking accuracy, respectively.

Hana Bunzen, Beliz Sertcan Gökmen, Andreas Kalytta-Mewes, M. Grzywa, Jakub Wojciechowski, Jürg Hutter, Anna-Sophia Hehn, D. Volkmer

Isostructural metal-organic frameworks (MOFs), namely MFU-4 and MFU-4-Br, in which the pore apertures are defined by anionic side ligands (Cl- and Br-, respectively), were synthesized and loaded with noble gases. By selecting the type of side ligand, one can fine-tune the pore aperture size, allowing for precise regulation of the entry and release of gas guests. In this study, we conducted experiments to examine gas loading and release using krypton and xenon as model gases, and we complemented our findings with computational modeling. Remarkably, the loaded gas guests remained trapped inside the pores even after being exposed to air under ambient conditions for extended periods, in some cases for up to several weeks. Therefore, we focused on determining the energy barrier preventing gas release using both theoretical and experimental methods. The results were compared in relation to the types of hosts and guests, providing valuable insights into the gas trapping process in MOFs, as well as programmed gas release in air under ambient conditions. Furthermore, the crystal structure of MFU-4-Br was elucidated using the three-dimensional electron diffraction (3DED) technique, and the bulk purity of the sample was subsequently verified through Rietveld refinement.

A. S., P. C

Modern applications, include machine learning and computer vision, more and more count on efficient matrix processors have a hard time keeping up with the requirements for latest technologies. For this reason, we made a 5-stage pipelined RISC-V processor, by employing a MFU and a Matrix Register. An MRF file designed to support fast operations with matrices. 32 registers are included in the MRF, all holding four 5-bit signed as a result, two sharing nodes can be represented in a simple 2×2 matrix. It supports adding elements of matrices, as well as doing numerical multiplications, inversion, transposition and error handling for times when a matrix can't be inverted or the transaction is invalid. Also involves detecting hazards. By using forwarding, aim to prevent stalls within the pipeline and maintain reliable performance. A detailed testbench confirms that the design works properly Among the basic tasks, problems with overflow conditions and issues caused by data hazards. Implemented the processor built with Verilog. Static timing analysis is the process to Arranging both these factors, arranging closure and choosing the proper clock frequency. The design benefits from effective matrix processing, as shown by the results. efficient and reliant processes for jobs that heavily use matrices. Enhancements to the model could improve how inverse calculations are performed. and makes memory operations faster which improves performance in practical situations