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In the pursuit of advancing COVID-19 diagnosis through imaging, this paper introduces a novel approach utilizing adaptive Fourier neural operators (AFNO) for the analysis of high-resolution computed tomography (HRCT) chest images. The study population comprised 395 patients with 181,106 labeled high-resolution COVID-19 CT images from the HRCTCov19 dataset, categorized into four classes: ground glass opacity (GGO), crazy paving, air space consolidation, and negative for COVID-19. The methods included image preprocessing, involving resizing and normalization, followed by the application of the AFNO model, which enables efficient token mixing in the Fourier domain independent of input resolution. The model was trained using the Adam optimizer with a learning rate of 1 × 10−⁴ and evaluated using metrics such as accuracy, precision, recall, and F1 score. The results demonstrate AFNO's superior performance in few-shot segmentation tasks over traditional self-attention mechanisms, achieving an overall accuracy of 94%. Specifically, the model showed high precision and recall for the GGO and negative classes, indicating its robustness and effectiveness. This research has significant implications for the development of AI-powered diagnostic tools, particularly in environments with limited access to high-quality imaging data and those where computational efficiency is critical. Our findings suggest that AFNO could serve as a powerful model for analyzing HRCT images, potentially leading to improved diagnosis and understanding of COVID-19, representing a critical step in combating the pandemic. [ABSTRACT FROM AUTHOR]

The increasing volumes of data generated by social networking, cloud computing, e-commerce, and online video broadcasting necessitate the implementation of higher data rates. As the current 4G network encounters congestion and potentially struggles to accommodate the substantial data demand, there is a growing interest in millimeter wave (mmWave) technology. The 30-300 GHz mmWave spectrum is characterized by its broad bandwidth and low latencyÍ? it is having many applications in communication domains, also includes 5G cellular. Despite its atmospheric attenuation and non-line-of-sight (NLOS) propagation, the majority of nations have begun to implement mmWave 5G in the band of 28/38 GHz as a result of its reduced path loss exponent, minimal signal spread, and decreased atmospheric attenuation. While the patch antenna (single-element) is a compact and easily transportable choice for mmWave applications, its radiation efficiency, gain, and bandwidth are all subpar. Array antennas have effectively addressed these limitations by exhibiting significant enhancements in bandwidth, gain, and radiation efficiency. It is still limited in the maximum data rates it can accommodate. The rate of data can be increased by a factor of one thousand using Multiple-Input-Multiple-Output (MIMO) technology, which is enabled by geographical diversity and multiplexing techniques. As a result, the comprehension of structures of MIMO antennas operating at mmWave is imperative for the continued enhancement of performance. In comparing the efficacy of these designs, bandwidth, isolation, efficiency, gain, and radiation pattern are considered. In this paper, the most recent planar MIMO antenna designs, which are categorized as defected ground structures, Slot/Patch/Stub, MIMO Antenna Array, Dielectric Resonator Antenna, and Meta-Surface/Metamaterial Structures, are described. This paper also addresses the effects that slots, partial ground, and decoupling structures have on levels of isolation, bandwidth, and impedance matching. A comprehensive analysis of the design considerations and subsequent advancements is also provided in this paper. [ABSTRACT FROM AUTHOR]

Background: Frozen shoulder is a condition that affects your shoulder joint. It usually involves pain and stiffness that develops gradually, gets worse and then finally goes away. It affects women slightly more often than men. With frozen shoulder, the capsule becomes so thick and tight that it's hard to move. Bands of scar tissue form and there's less of a liquid called synovial fluid to keep the joint lubricated. These things limit motion even more. Patients presenting with frozen shoulder will often report an insidious onset with a progressive increase in pain, and a gradual decrease in active and passive range of motion. Most patients are still managed by physiotherapy in primary care, and only the more refractory cases are referred for specialist intervention various treatment approaches help to reducing the pain, stiffness like Myofascial release, trigger point therapy, ultrasound, mobilization, cold therapy, heat therapy stretching etc. Objective: The objective of this study is to find out the effectiveness of myofascial release with mobilization vs ultra sound with mobilization on patients who suffer from frozen shoulder. Methodology: A total of 15 patients of frozen shoulder were included in the study. All patients were treated with myofascial release with mobilisation and ultra sound with mobilization. Patients were treated 4 times per week for the 12 weeks treatment duration was individually 15 to 20 minutes per session included rest time. Result & Conclusion: The results of this study indicates that there is a significant difference between effect of myofascial release with mobilization and ultrasound with mobilization in patients with frozen shoulder. [ABSTRACT FROM AUTHOR]