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Enhancing Channel Data Savings and Information Transfer Efficiency in Ultrasound Imaging
No full textUltrasound is a popular imaging technique mainly due to its non-invasive nature. And so, it is being used in a variety of applications. Due to plane wave imaging technique in ultrasound, frame rate of ultrasound imaging has the potential for being very high. Due to which, many channel data frames are being generated within a few seconds. As a result, tasks such as storing data frames and transferring them from front end ultrasonic system to processing computers are presenting significant challenges. Our current research work minimized these issues. We proposed and implemented: (a) Data encoding technique - We combined every two consecutive raw channel data frames without repetition in full data to generate a reduced version of raw data, whose size is half of original data in the front end, (b) Data compression technique – We applied discrete frequency domain transforms on full raw data, all frequency components less than or equal to median value are discarded. Both (a) and (b) reduced data storage requirements by up to 50%. Furthermore, transferring this reduced data into the computer increased the data transfer efficiency by approximately 50%, when compared to full data transfer. Data decoding and inverse frequency-domain transforms were performed in the computer software, followed by the ultrasound image reconstruction process. The final technique (c), which integrated both (a) and (b), achieved an overall data reduction of up to 75%. All these improvements were made with only a slight increase in the computer’s processing time. Finally, the performance of our proposed methods was evaluated using several quantitative metrics such as SSIM, MSE, PSNR, mean, standard deviation, image sharpness, and variations in image brightness and contrast. From which, it was clear that our final images are in close resemblance to ground truth images
Psychosocial Aspects of Rehabilitation: Enhancing Outcomes Through Compassionate Practice
No full textDesigned to fill a gap in the literature, Psychosocial Aspects of Rehabilitation: Enhancing Outcomes Through Compassionate Practice demonstrates how the relational aspects of healthcare impact patient outcomes, provider burnout, and healthcare costs. Underscoring the importance of therapeutic alliance and compassionate care, the textbook well prepares future physical therapy providers to deliver the best care for their patients and avoid professional burnout.
The book features cutting-edge research that shows how relational skills have measurable and quantitative effects on patient outcomes. Dedicated chapters address trauma-informed care, compassionate care, structural and social determinants of health, motivation and adherence, self-destructive behaviors, accessible environments, and more. Readers learn how to assess and mitigate provider biases, manage difficult clinical situations, and create a sustainable career in physical therapy.
Psychosocial Aspects of Rehabilitation is an exemplary textbook for Doctor of Physical Therapy (DPT) programs and Physical Therapist Assistant (PTA) programs as it incorporates the American Physical Therapy Association Vision Statement, current evidence from the field of physical therapy, and topics found in the Commission on Accreditation in Physical Therapy Education 2024 Standards and Required Elements. [Amazon.com]https://digitalcommons.odu.edu/pt_books/1003/thumbnail.jp
January Gill O\u27Neil: 48th Annual ODU Literary Festival
No full textJanuary Gill O\u27Neil is an associate professor at Salem State University and the author of Glitter Road (2024), Rewilding (2018), Misery Islands (2014), and Underlife (2009), all published by CavanKerry Press. Glitter Road won the Poetry by the Sea Award and was a finalist for the 2024 New England Book Award and the Mississippi Institute of Arts and Letters Award. From 2012-2018, she served as the executive director of the Massachusetts Poetry Festival. Her poems and articles have appeared in The New York Times Magazine, the Academy of American Poets\u27 Poem-A-Day series, American Poetry Review, The Nation, Poetry, and Sierra magazine, among others. Her poem, At the Rededication of the Emmett Till Memorial, was a co-winner of the 2022 Allen Ginsberg Poetry Award from the Poetry Center at Passaic County Community College. The recipient of fellowships from the Massachusetts Cultural Council, Cave Canem, and the Barbara Deming Memorial Fund, O\u27Neil was the 2019-2020 John and Renée Grisham Writer-in-Residence at the University of Mississippi, Oxford. She currently serves as the 2022-2025 board chair of the Association of Writers and Writing Programs (AWP).
O\u27Neil earned her BA from Old Dominion University and her MFA from New York University. She lives in Beverly, MA
Modeling the Impact of NATO Policy Actions on Taliban Disinformation Campaigns with Lotka-Volterra Models
No full textIn this paper, we use an adaptation of the Lotka-Volterra Predator-Prey framework (via Affilit Et. Al.) to model the relationship between Taliban disinformation campaigns and NATO’s attempts to counter them. We find that aggression is a significantly preferred strategy over stagnation; this result should prompt decisionmakers to take strong stances against disinformation campaigns while maintaining a healthy defense against retribution. This leads us to propose the NATO Afghan Youth for Change program, which provides scholarships to individuals throughout the Afghan diaspora to become NATO influencers - a role which will both advance their personal goals and mitigate the spread of disinformation in what may otherwise be communities targeted by the Taliban’s disinformation campaigns
Flux-Weakening Control Methods for Permanent Magnet Synchronous Machines in Electric Vehicles at High Speed
No full textPermanent magnet synchronous motors (PMSMs) are widely favored by manufacturers for use in electric vehicles (EVs) because of their many benefits, which include high power density at high speeds, ruggedness, potential for high efficiency, and reduced control complexity. However, since the Back Electromotive Force (EMF) increases proportionally with the motor’s rotational speed, it must be carefully controlled at high speeds. Flux-weakening (FW) control is required to avoid excessive electromagnetic flux beyond the power source and inverter’s voltage restrictions. This paper aims to compare various FW control strategies and analyze their effectiveness in maximizing the speed of PMSMs in EV applications while ensuring stable and reliable performance. Various FW approaches, such as voltage-based control, current-based control, and advanced predictive control methods, are examined to determine how each method balances speed enhancement with torque output and efficiency. In addition, other control strategies are crucial for optimizing the performance of PMSMs in electric vehicles. Among the most popular methods for controlling torque and speed in PMSMs are Field-Oriented Control (FOC), Direct Torque Control (DTC), and Vector Current Control (VCC). Each control technique has advantages and is frequently cited in the literature as a crucial instrument for improving EV motor control. This article provides a comprehensive evaluation of FW methods, highlighting their respective advantages and disadvantages by synthesizing the findings of numerous studies. In addition to outlining future research directions in FW control for EV applications, this study provides essential insights and valuable suggestions to help select FW control techniques for various PMSM types and operating conditions
Body Composition in Patients with Obesity-Related Heart Failure with Preserved Ejection Fraction: A Comparison Study
No full textBackground
Appendicular lean mass index is a major determinant of cardiorespiratory fitness in patients with obesity-related heart failure with preserved ejection fraction (HFpEF). Moreover, appendicular lean mass index can be used to diagnose sarcopenia and sarcopenic obesity in this population. We aimed to validate the ability of segmental single-frequency bioelectrical impedance analysis (SF-BIA) to assess body composition compared with dual-energy x-ray absorptiometry (DXA) in patients with HFpEF and obesity, with a focus on appendicular lean mass index for its critical role in diagnosing sarcopenia and sarcopenic obesity.
Methods
We analyzed 62 euvolemic patients from a heart failure outpatient clinic with persistent obesity-related HFpEF (83.8% women, 60.8 ± 2.8 years of age). We used DXA and segmental SF-BIA.
Results
Strong correlations were found between segmental SF-BIA and DXA for appendicular lean mass index (r = 0.897), appendicular fat mass index (r = 0.864), fat mass (r = 0.968), fat mass percentage (r = 0.867), fat-free mass (r = 0.954), fat-free mass percentage (r = 0.852), fat mass index (r = 0.97), and fat-free mass index (r = 0.88) (all p \u3c 0.001), without significant proportional bias for all parameters, except for appendicular fat mass index.
Conclusions
Segmental SF-BIA-measured body composition shows strong correlations, appropriate agreements, and no proportional bias compared with DXA. Segmental SF-BIA should be considered in patients with obesity-related HFpEF
Without Microphysical Causation, Not Just Anything Can Begin to Exist Just Anywhere
No full textAccording to the Causal Principle, anything that begins to exist has a cause. In turn, various authors – including Thomas Hobbes, Jonathan Edwards, and Arthur Prior – have defended the thesis that, had the Causal Principle been false, there would be no good explanation for why entities do not begin at arbitrary times, in arbitrary spatial locations, in arbitrary number, or of arbitrary kind. I call this the Hobbes-Edwards-Prior Principle (HEPP). However, according to a view popular among both philosophers of physics and naturalistic metaphysicians – Neo-Russellianism – causation is absent from fundamental physics. I argue that objections based on the HEPP should have no dialectical force for Neo-Russellians. While Neo-Russellians maintain that there is no causation in fundamental physics, they also have good reason to reject the HEPP
Geometric GNNs for Charged Particle Tracking at GlueX
No full textNuclear physics experiments are aimed at uncovering the fundamental building blocks of matter. The experiments involve high-energy collisions that produce complex events with many particle trajectories. Tracking charged particles resulting from collisions in the presence of a strong magnetic field is critical to enable the reconstruction of particle trajectories and precise determination of interactions. It is traditionally achieved through combinatorial approaches that scale worse than linearly as the number of hits grows. Since particle hit data naturally form a point cloud and can be structured as graphs, graph neural networks (GNNs) emerge as an intuitive and effective choice for this task. In this study, we evaluate the GNN model for track finding on the data from the GlueX experiment at Jefferson Lab. We use simulation data to train the model and test on both simulation and real GlueX measurements. We demonstrate that GNN-based track finding outperforms the currently used traditional method at GlueX in terms of segment-based efficiency at a fixed purity while providing faster inferences. We show that the GNN model can achieve significant speedup by processing multiple events in batches, which exploits the parallel computation capability of graphical processing units (GPUs). Finally, we compare the GNN implementation on GPU and field-programmable gate array and describe the trade-off
Design of a Shipping Fixture for a Compact Cryomodule Hermetic Assembly
No full textTwo conduction-cooled 915 MHz superconducting radio frequency hermetic assemblies must be safely transported from the Jefferson Lab in Newport News, VA to General Atomics in San Diego, CA for performance testing in a custom horizontal test cryostat. One hermetic assembly consists of a 2-cell 915 MHz cavity, a coaxial fundamental power coupler, and the warm-to-cold transition beam tubes. The second hermetic assembly consists of a 2-cell 915 MHz cavity only. The assemblies will be transported on a flatbed air-ride trailer over the approximate 4000 km distance. Design requirements included adequate attenuation of 4g vertical axis, 5g beamline axis, and 1.5g lateral axis shock events. The isolation system was designed using helical wire-rope isolators with modal and transient finite element analysis performed in Ansys. Results show shock attenuation of a 10 ms half-sine pulse input to \u3c 1g in the vertical axis, \u3c 1.5g in the beamline axis, and \u3c 0.5g in the lateral axis for both assemblies at the specified design loads and all structural stresses are kept below the material yield limits. Additionally, the natural frequencies of both isolation systems adequately attenuate the fundamental modes of the critical structures