841 research outputs found
Quantum sensors based on weak-value amplification cannot overcome decoherence
Sensors that harness exclusively quantum phenomena (such as entanglement) can
achieve superior performance compared to those employing only classical
principles. Recently, a technique based on postselected, weakly-performed
measurements has emerged as a method of overcoming technical noise in the
detection and estimation of small interaction parameters, particularly in
optical systems. The question of which other types of noise may be combatted
remains open. We here analyze whether the effect can overcome decoherence in a
typical field sensing scenario. Benchmarking a weak, postselected measurement
strategy against a strong, direct strategy we conclude that no advantage is
achievable, and that even a small amount of decoherence proves catastrophic to
the weak-value amplification technique.Comment: Published version with improvements to presentation, including
clarifying our understanding of technical noise and quantum nois
Models of Care for musculoskeletal health: Moving towards meaningful implementation and evaluation across conditions and care settings
Models of Care (MoCs) are increasingly recognised as a system-level enabler to translate evidence for ‘what works’ into policy and, ultimately, clinical practice. MoCs provide a platform for a reform agenda in health systems by describing not only what care to deliver but also how to deliver it. Given the enormous burden of disease associated with musculoskeletal (MSK) conditions, system-level (macro) reform is needed to drive downstream improvements in MSK healthcare – at the health service (meso) level and at the clinical interface (micro) level. A key challenge in achieving improvements in MSK healthcare is sustainable implementation of reform initiatives, whether they be macro, meso or micro level in scope. In this chapter, we introduce the special issue of the Journal dedicated to implementation of MSK MoCs. We provide a contextual background on MoCs, a synthesis of implementation approaches across care settings covered across the chapters in this themed issued, and perspectives on the evaluation of MoCs
Creating excitonic entanglement in quantum dots through the optical Stark effect
We show that two initially non-resonant quantum dots may be brought into
resonance by the application of a single detuned laser. This allows for control
of the inter-dot interactions and the generation of highly entangled excitonic
states on the picosecond timescale. Along with arbitrary single qubit
manipulations, this system would be sufficient for the demonstration of a
prototype excitonic quantum computer.Comment: 4 pages, 3 figures; published version, figure 3 improved, corrections
to RWA derive
Upper cervical instability associated with rheumatoid arthritis: What to 'know' and what to 'do'
This case report describes a patient who presented with cervical spinal pain and headaches associated with atlanto-axial subluxation (AAS) secondary to rheumatoid arthritis (RA). For physiotherapists, especially less experienced clinicians, the significant risks associated with using manual assessment and treatment techniques in such a patient require careful consideration right at the start of a consultation. The focus of the case is therefore on the recognition of AAS in this patient with RA, highlighting the clinical findings that alert clinicians to this possibility and explaining the requisite knowledge and skills required to safely and effectively manage this patient. The use of screening tools to help clinicians identify possible RA in its pre-diagnosis stage and the clinical signs and symptoms that raise the index of suspicion for AAS, are discussed. The relevant contraindications and precautions associated with manual treatments directed at the upper cervical spine, and which may have potentially serious negative consequences, including quadriplegia and mortality, are addressed. Finally, the implications for the use of manual assessment and treatment of patients with RA and co-morbid AAS are addressed
Airborne Radar for sUAS Sense and Avoid
A primary challenge for the safe integration of small UAS operations into the National Airspace System (NAS) is traffic deconfliction, both from manned and unmanned aircraft. The UAS Traffic Management (UTM) project being conducted at the National Aeronautics and Space Administration (NASA) considers a layered approach to separation provision, ranging from segregation of operations through airspace volumes (geofences) to autonomous sense and avoid (SAA) technologies for higher risk, densely occupied airspace. Cooperative SAA systems, such as Automatic Dependent Surveillance-Broadcast (ADS-B) and/or vehicle-to-vehicle communication systems provide significant additional risk mitigation but they fail to adequately mitigate collision risks for non-cooperative (non-transponder equipped) airborne aircraft. The RAAVIN (Radar on Autonomous Aircraft to Verify ICAROUS Navigation) flight test being conducted by NASA and the Mid-Atlantic Aviation Partnership (MAAP) was designed to investigate the applicability and performance of a prototype, commercially available sUAS radar to detect and track non-cooperative airborne traffic, both manned and unmanned. The radar selected for this research was a Frequency Modulated Continuous Wave (FMCW) radar with 120 degree azimuth and 80 degree elevation field of view operating at 24.55GHz center frequency with a 200 MHz bandwidth. The radar transmits 2 watts of power thru a Metamaterial Electronically Scanning Array antenna in horizontal polarization. When the radar is transmitting, personnel must be at least 1 meter away from the active array to limit nonionizing radiation exposure. The radar physical dimensions are 18.7cm by 12.1cm by 4.1cm and it weighs less than 820 grams making it well suited for installation on small UASs. The onboard, SAA capability, known as ICAROUS, (Independent Configurable Architecture for Reliable Operations of Unmanned Systems), developed by NASA to support sUAS operations, will provide autonomous guidance using the traffic radar tracks from the onboard radar. The RAAVIN set of studies will be conducted in three phases. The first phase included outdoor, ground-based radar evaluations performed at the Virginia Techs Kentland Farm testing range in Blacksburg, VA. The test was designed to measure how well the radar could detect and track a small UAS flying in the radars field of view. The radar was used to monitor 5 test flights consisting of outbound, inbound and crossing routes at different ranges and altitudes. The UAS flown during the ground test was the Inspire 2, a quad copter weighing less than 4250 grams (10 pounds) at maximum payload. The radar was set up to scan and track targets over its full azimuthal field of view from 0 to 40 degrees in elevation. The radar was configured to eliminate tracks generated from any targets located beyond 2000 meters from the radar and moving at velocities under 1.45 meters per second. For subsequent phases of the study the radar will be integrated with a sUAS platform to evaluate its performance in flight for SAA applications ranging from sUAS to manned GA aircraft detections and tracking. Preliminary data analysis from the first outdoor ground tests showed the radar performed well at tracking the vehicle as it flew outbound and repeatedly maintained a track out to 1000 meters (maximum 1387 meters) until the vehicle slowed to a stop to reverse direction to fly inbound. As the Inspire flew inbound tracks from beyond 800 meters, a reacquisition time delay was consistently observed between when the Inspire exceeds a speed of 1.45 meters per second and when the radar indicated an inbound target was present and maintained its track. The time delay varied between 6 seconds to over 37 seconds for the inbound flights examined, and typically resulted in about a 200 meter closure distance before the Inspire track was maintained. The radar performed well at both acquiring and tracking the vehicle as it flew crossing routes out past 400 meters across the azimuthal field of view. The radar and ICAROUS software will be integrated and flown on a BFD-1400-SE8-E UAS during the next phase of the RAAVIN project. The main goal at the conclusion of this effort is to determine if this radar technology can reliably support minimum requirements for SAA applications of sUAS. In particular, the study will measure the range of vehicle detections, lateral and vertical angular errors, false and missed/late detections, and estimated distance at closest point of approach after an avoidance maneuver is executed. This last metric is directly impacted by sensor performance and indicates its suitability for the task
Modeling good research practices - overview: a report of the ISPOR-SMDM modeling good research practices task force - 1.
Models—mathematical frameworks that facilitate estimation of the consequences of health care decisions—have become essential tools for health technology assessment. Evolution of the methods since the first ISPOR modeling task force reported in 2003 has led to a new task force, jointly convened with the Society for Medical Decision Making, and this series of seven papers presents the updated recommendations for best practices in conceptualizing models; implementing state–transition approaches, discrete event simulations, or dynamic transmission models; dealing with uncertainty; and validating and reporting models transparently. This overview introduces the work of the task force, provides all the recommendations, and discusses some quandaries that require further elucidation. The audience for these papers includes those who build models, stakeholders who utilize their results, and, indeed, anyone concerned with the use of models to support decision making
Hospital discharge information after elective total hip or knee joint replacement surgery: A clinical audit of preferences among general practitioners
The demand for elective joint replacement (EJR) surgery for degenerative joint disease continues to rise in Australia, and relative to earlier practices, patients are discharged back to the care of their general practitioner (GP) and other community-based providers after a shorter hospital stay and potentially greater post-operative acuity. In order to coordinate safe and effective post-operative care, GPs rely on accurate, timely and clinically-informative information from hospitals when their patients are discharged. The aim of this project was to undertake an audit with GPs regarding their preferences about the components of information provided in discharge summaries for patients undergoing EJR surgery for the hip or knee. GPs in a defined catchment area were invited to respond to an online audit instrument, developed by an interdisciplinary group of clinicians with knowledge of orthopaedic surgery practices. The 15-item instrument required respondents to rank the importance of components of discharge information developed by the clinician working group, using a three-point rating scale.Fifty-three GPs and nine GP registrars responded to the audit invitation (11.0% response rate). All discharge information options were ranked as ‘essential’ by a proportion of respondents, ranging from 14.8–88.5%. Essential information requested by the respondents included early post-operative actions required by the GP, medications prescribed, post-operative complications encountered and noting of any allergies. Non-essential information related to the prosthesis used. The provision of clinical guidelines was largely rated as ‘useful’ information (47.5–56.7%). GPs require a range of clinical information to safely and effectively care for their patients after discharge from hospital for EJR surgery. Implementation of changes to processes used to create discharge summaries will require engagement and collaboration between clinical staff, hospital administrators and information technology staff, supported in parallel by education provided to junior medical staff
Physiotherapy co-management of rheumatoid arthritis: Identification of red flags, significance to clinical practice and management pathways
Rheumatoid arthritis (RA) is a chronic, systemic, autoimmune disease. Physiotherapy interventions for people with RA are predominantly targeted at ameliorating disability resulting from articular and periarticular manifestations of the disease and providing advice and education to improve functional capacity and quality of life. To ensure safe and effective care, it is critical that physiotherapists are able to identify potentially serious articular and peri-articular manifestations of RA, such as instability of the cervical spine. Additionally, as primary contact professionals, it is essential that physiotherapists area ware of the potentially serious extra-articular manifestations of RA. This paper provides an overview of the practice-relevant manifestations associated with RA that might warrant further investigation by a medical practitioner (red flags), their relevance to physiotherapy practice, and recommended management pathways
Demonstration of a Thermally Coupled Row-Column SNSPD Imaging Array
While single-pixel superconducting nanowire single photon detectors (SNSPDs) have demonstrated remarkable efficiency and timing performance from the UV to near-IR, scaling these devices to large imaging arrays remains challenging. Here, we propose a new SNSPD multiplexing system using thermal coupling and detection correlations between two photosensitive layers of an array. Using this architecture with the channels of one layer oriented in rows and the second layer in columns, we demonstrate imaging capability in 16-pixel arrays with accurate spot tracking at the few-photon level. We also explore the performance trade-offs of orienting the top layer nanowires parallel and perpendicular to the bottom layer. The thermally coupled row-column scheme is readily able to scale to the kilopixel size with existing readout systems and, when combined with other multiplexing architectures, has the potential to enable megapixel scale SNSPD imaging arrays
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