Data Collection Rate Research Articles

Clinical bracket failure rates between different bonding techniques: a systematic review and meta-analysis.

Bracket failure increases the treatment time of orthodontic therapy and burdens patients with unnecessary costs, increased chair time, and possible new appointments. To compare the bond failures of different orthodontic materials based on the results of available clinical studies. A systematic search of clinical trials was performed in the Cochrane, Embase, and Pubmed databases with no limitations. The list of investigated techniques contained conventional acid-etch primer (CM-AEP), self-etch primer (SEP), self-cure resin (SCR), and simple or resin-modified glass ionomer (RM-GIC) materials and procedures. Clinical studies reporting the failure rate of bonded brackets after using direct adhesive techniques on buccal sites of healthy teeth were included. Bracket failure rates from eligible studies were extracted by two authors independently. Risk ratios (RRs) were pooled using the random-effects model with DerSimonian-Laird estimation. Thirty-four publications, involving 1221 patients, were included. Our meta-analysis revealed no significant difference in the risk of bracket failures between SEP and CM-AEP. After 6, 12, and 18 months of bonding, the values of RR were 1.04 [95% confidence interval (CI), 0.67-1.61], 1.37 (95% CI, 0.98-1.92), and 0.93 (95% CI, 0.72-1.20), respectively. At 18 months, bracket failure was 4.9 and 5.2% for SEP and CM-AEP, respectively. Heterogeneity was good or moderate (I2 < 42.2%). The results of RM-GIC at 12 months indicated a 57% lower risk of bracket failure using SCR as compared with RM-GIC (RR: 0.38; 95% CI, 0.24-0.61). At 18 months, bracket failures for SCR and RM-GIC were 15.8 and 36.6%, respectively (RR: 0.44; 95% CI, 0.37-0.52, I2 = 78.9%), demonstrating three to six times higher failure rate than in the case of etching primer applications. A major limitation of the present work is that the included clinical trials, with no exceptions, showed variable levels of risk of bias. Another possible problem affecting the outcome is the difference between the clustering effects of the split mouth and the parallel group bracket allocation methods. The results revealed no significant difference between SEP and CM-AEP up to 18 months after application. RM-GIC had much worse failure rates than acid-etching methods; additionally, the superiority of SCR over RM-GIC was evident, indicating strong clinical relevance. Prospero with CRD42020163362.

Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers.

Sensitive detection of biomarkers is very critical in the diagnosis, management, and monitoring of diseases. Recent efforts have suggested that bioassays using surface-enhanced Raman scattering as a signal read-out strategy possess certain unique beneficial features in terms of sensitivity and low limits of detection which set this method apart from its counterparts such as fluorescence, phosphorescence, and radiolabeling. Surface-enhanced Raman scattering (SERS) has also emerged as an ideal choice for the development of multiplexed bioassays. Such promising features have prompted the need for the development of SERS-based tools suitable for point-of-care applications. These tools must be easy to use, portable, and automated for the screening of many samples in clinical settings if diagnostic applications are considered. The availability of such tools will result in faster and more reliable detection of disease biomarkers, improving the accessibility of point-of-care diagnostics. In this paper, we describe a modular Raman reader instrument designed to create such a portable device suitable for screening a large number of samples with minimal operator assistance. The device’s hardware is mostly built with commercially available components using our unique design. Dedicated software was created to automatically run sample screening and analyze the data measured. The mRR is an imaging system specifically created to automate measurements, eliminating human bias while enhancing the rate of data collection and analysis ~2000 times. This paper presents both the design and capabilities of the custom-built modular Raman reader system (mRR) capable of automated and fast measurements of sandwich immunoassay samples on gold substrates using modified gold nanoparticles as Raman tags. The limit of detection (LOD) of the tested MUC4-specific iSERS assay was measured to be 0.41 µg/mL.

Acoustic Focusing of Protein Crystals for In-Line Monitoring and Up-Concentration during Serial Crystallography

Serial femtosecond crystallography (SFX) has become one of the standard techniques at X-ray free-electron lasers (XFELs) to obtain high-resolution structural information from microcrystals of proteins. Nevertheless, reliable sample delivery is still often limiting data collection, as microcrystals can clog both field- and flow-focusing nozzles despite in-line filters. In this study, we developed acoustic 2D focusing of protein microcrystals in capillaries that enables real-time online characterization of crystal size and shape in the sample delivery line after the in-line filter. We used a piezoelectric actuator to create a standing wave perpendicular to the crystal flow, which focused lysozyme microcrystals into a single line inside a silica capillary so that they can be imaged using a high-speed camera. We characterized the acoustic contrast factor, focus size, and the coaxial flow lines and developed a splitting union that enables up-concentration to at least a factor of five. The focus size, flow rates, and geometry may enable an upper limit of up-concentration as high as 200 fold. The novel feedback and concentration control could be implemented for serial crystallography at synchrotrons with minor modifications. It will also aid the development of improved sample delivery systems that will increase SFX data collection rates at XFELs, with potential applications to many proteins that can only be purified and crystallized in small amounts.

Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance

Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks, and determining collision-free trajectory in multi-UAV noncooperative scenarios while collecting data from distributed Internet of Things (IoT) nodes is a challenging task. In this article, we consider a path-planning optimization problem to maximize the collected data from multiple IoT nodes under realistic constraints. The considered multi-UAV noncooperative scenarios involve a random number of other UAVs in addition to the typical UAV, and UAVs do not communicate or share information among each other. We translate the problem into a Markov decision process (MDP) with parameterized states, permissible actions, and detailed reward functions. Dueling double deep <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> -network (D3QN) is proposed to learn the decision-making policy for the typical UAV, without any prior knowledge of the environment (e.g., channel propagation model and locations of the obstacles) and other UAVs (e.g., their missions, movements, and policies). The proposed algorithm can adapt to various missions in various scenarios, e.g., different numbers and positions of IoT nodes, different amount of data to be collected, and different numbers and positions of other UAVs. Numerical results demonstrate that real-time navigation can be efficiently performed with high success rate, high data collection rate, and low collision rate.

Application of Data Mining in Offensive Tactical Research of Tennis Match

With the continuous development and growth of information technology and data scale, data mining technology has gradually matured and applied in various fields. With the continuous improvement in sports information level, the sports data are also increasing. It is the general trend to use data mining technology in the field of sports data analysis. In this article, data mining technology is used in the research of offensive tactical data of tennis, which aims to provide scientific data support for tactical decision-making in tennis training and competition and improve the winning rate of tennis competition. Firstly, based on the requirement analysis, the goal and structure framework of the tennis tactical analysis system are determined. The main functions of the system include tactical data collection, tactical statistics, and tactical comprehensive analysis. Then, the data collection ability, speed, and tactical statistic function of the tennis tactical analysis system are tested. The accuracy rate of data collection for five common offensive tactics in 10 matches of the tennis tactical analysis system is 94.4%, 97.1%, 100%, 97.4%, and 96.3%, respectively. This shows that the tennis tactical analysis system developed in this article can accurately record the tactical data in the game in real time. After the test, the system is used to analyze the tactics used by a tennis player in 2015 and analyze the characteristics of various tactics of the serve round and receive round. The results show that W-C-C is the main tactic of the serve round in the singles match, with the utilization rate of 100% and the scoring rate of W-C-C-Q tactics of 100%; the most important landing area is the inner corner of the right area, with the distribution rate of 30% and the scoring rate of 73.33%. The tactics of receiving round are mainly C-C-C-C tactics, with the utilization rate of 66.67% and the scoring rates of C-C-C-C tactics and C-Q-C-C tactics are 100%; the most important landing area is the middle road, with the distribution rate of 41.67% and the scoring rate of 46.67%. To sum up, the application of data mining in the research of offensive tactics in tennis matches has high analysis efficiency and accuracy, which is worthy of promotion.

Has the STARD statement improved the quality of reporting of diagnostic accuracy studies published in European Radiology?

ObjectivesTo investigate whether encouraging authors to follow the Standards for Reporting Diagnostic Accuracy (STARD) guidelines improves the quality of reporting of diagnostic accuracy studies.MethodsIn mid-2017, European Radiology started encouraging its authors to follow the STARD guidelines. Our MEDLINE search identified 114 diagnostic accuracy studies published in European Radiology in 2015 and 2019. The quality of reporting was evaluated by two independent reviewers using the revised STARD statement. Item 11 was excluded because a meaningful decision about adherence was not possible. Student’s t test for independent samples was used to analyze differences in the mean number of reported STARD items between studies published in 2015 and in 2019. In addition, we calculated differences related to the study design, data collection, and citation rate.ResultsThe mean total number of reported STARD items for all 114 diagnostic accuracy studies analyzed was 15.9 ± 2.6 (54.8%) of 29 items (range 9.5–22.5). The quality of reporting of diagnostic accuracy studies was significantly better in 2019 (mean ± standard deviation (SD), 16.3 ± 2.7) than in 2015 (mean ± SD, 15.1 ± 2.3; p < 0.02). No significant differences in the reported STARD items were identified in relation to study design (p = 0.13), data collection (p = 0.87), and citation rate (p = 0.09).ConclusionThe quality of reporting of diagnostic accuracy studies according to the STARD statement was moderate with a slight improvement since European Radiology started to recommend its authors to follow the STARD guidelines.Key Points• The quality of reporting of diagnostic accuracy studies was moderate with a mean total number of reported STARD items of 15.9 ± 2.6.• The adherence to STARD was significantly better in 2019 than in 2015 (16.3 ± 2.7 vs. 15.1 ± 2.3; p = 0.016).• No significant differences in the reported STARD items were identified in relation to study design (p = 0.13), data collection (p = 0.87), and citation rate (p = 0.09).

A Cloud-Assisted Reliable Trust Computing Scheme for Data Collection in Internet of Things

Large number of Internet of Things (IoT) applications with intelligent sensing devices (ISDs) are combined with cloud computing to collect and process data more efficiently. However, ISDs are vulnerable to various attacks. Compromised devices may maliciously provide unreliable data to the cloud, causing damage to IoT applications. Therefore, it is a critical issue to design an effective mechanism to ensure the security of data collection in cloud computing. In this article, a cloud-assisted reliable trust computing (CRTC) scheme is proposed to identify the trust of ISDs at low cost, providing high-quality data for IoT applications. The CRTC scheme mainly includes the following parts: First, a reliable approach of obtaining the real data of ISDs at a low cost is proposed to identify the trust of ISDs. In the proposed method, ISDs fits the forwarding packets information to form inspection information (II) with a small amount of data and then sends II to inspection nodes, effectively reducing the cost of routing II. Second, an effective method of trust computing is given to evaluate the trustworthiness of ISDs based on the data and II collected by unmanned aerial vehicles (UAV). Then, the aggregators are selected from high-trust ISDs to ensure secure data collection. Third, to obtain more reliable trust at lower cost, a trajectory optimization algorithm for UAV is proposed to collect as much II as possible and reduce the moving distance. Theoretical analysis and experimental results show that the proposed CRTC scheme is superior to previous strategies in terms of the success rate of data collection, the speed of identifying the trust of ISDs, and the UAV's trajectory distance.

Is two better than one? Maximising follow-up of self-reported outcome measures for a stroke survivor population: Results from a study within a trial in the LoTS2Care feasibility study

Background: Improving outcome data collection rates is an essential part of managing clinical trials and ensures statistical power and generalisability of results are maintained. Studies within a trial (SWATs) provide a robust methodology to investigate the most efficient methods to maximise outcome follow-up. Methods: LoTS2Care, a feasibility cluster Randomised Controlled Trial, recruited 269 stroke survivors across 10 services, and incorporated a SWAT to evaluate the effect of questionnaire booklet format (one booklet or two) on follow-up rates for self-reported postal outcomes at 6 and 9 months post-recruitment. Available participants were individually randomised (1 : 1) by the Clinical Trials Research Unit and follow-up rates in the two groups were compared. Results: At 6 months post-recruitment, 254 participants were randomised: 126 to receive (125 posted) the single booklet; 128 to receive two booklets. By 9 months post-recruitment, 116 and 123 participants were still available in each group, respectively. For participants randomised to two booklets, return of at least one of the booklets was considered as ‘followed-up’. At 6 months, 114/125 (91.2%) participants sent the single booklet returned it, compared to 108/128 (84.4%) sent two (odds ratio (OR) 1.92, 95% confidence interval (CI) 0.88 to 4.19). By 9 months, 108/116 (93.1%) participants returned the single booklet, compared to 105/123 (85.4%) sent two (OR 2.31, 95% CI 0.97 to 5.55). Conclusions: The SWAT was an inexpensive, straightforward way to test how booklet format affected follow-up rates. Larger participant numbers would be required for conclusive results. These initial findings, however, suggest that including all outcome measures in a single booklet may maximise return rates, especially in trials with similar populations, such as those living with brain injury, cognitive or speech impairment or older people.

Feasibility and Relevance of an Intervention with Systematic Screening as a Base for Individualized Rehabilitation in Breast Cancer Patients: A Pilot Trial of the ReScreen Randomized Controlled Trial.

BackgroundA substantial proportion of women with breast cancer (BC) experience a wide range of long-term persistent and troublesome side effects related to the disease and its treatment. The ReScreen randomized controlled trial is conducted aiming to evaluate the effect of early screening of distress followed by individualized rehabilitation after primary BC treatment.PurposeTo examine recruitment, retention, distribution of distress, relevance of intervention and reported problems in a pilot trial of the ReScreen RCT.Patients and methodsBased on international research, a cutoff of ≥7 on the Distress Thermometer was used to identify women in need of extended support. Those who reported high distress were randomized to intervention group (IG, n = 9) or control group (CG, n = 9), while women with low distress formed an observational group (OG, n = 67). Self-reported data was collected at baseline, 2 weeks and 3, 6, 9, and 12 months after start of treatment. The participants were recruited from a BC unit in Sweden. Descriptive statistics were used for analyses.ResultsEighty-five patients consented to participate. The recruitment rate was 73%, answer frequency was 98%, 64%, 95%, and retention rate was 100%, 56%, 91% in the IG, CG and OG, respectively. Few systematic errors were identified. When exploring the distribution of distress, it was evident that the participants scoring ≥7 were fewer (21.2%) than reported in previous studies (34–43%). The most commonly problems reported were in line with previous reports of symptoms, including fatigue and worry.ConclusionThe satisfactory rates of inclusion and data collection and the few systematic errors indicate that the ReScreen study is feasible if well planned and executed. To identify patients in need of extended support, an adjustment of the cutoff in the main study is indicated. Based on self-reported problems, the intervention was found relevant in this context.

A novel range telescope concept for proton CT

Proton beam therapy can potentially offer improved treatment for cancers of the head and neck and in paediatric patients. There has been a sharp uptake of proton beam therapy in recent years as improved delivery techniques and patient benefits are observed. However, treatments are currently planned using conventional x-ray CT images due to the absence of devices able to perform high quality proton computed tomography (pCT) under realistic clinical conditions. A new plastic-scintillator-based range telescope concept, named ASTRA, is proposed here to measure the proton’s energy loss in a pCT system. Simulations conducted using GEANT4 yield an expected energy resolution of 0.7%. If calorimetric information is used the energy resolution could be further improved to about 0.5%. In addition, the ability of ASTRA to track multiple protons simultaneously is presented. Due to its fast components, ASTRA is expected to reach unprecedented data collection rates, similar to 108 protons/s. The performance of ASTRA has also been tested by simulating the imaging of phantoms. The results show excellent image contrast and relative stopping power reconstruction.

Ideal observer analysis for continuous tracking experiments.

Continuous tracking is a newly developed technique that allows fast and efficient data acquisition by asking participants to “track” a stimulus varying in some property (usually position in space). Tracking is a promising paradigm for the investigation of dynamic features of perception and could be particularly well suited for testing ecologically relevant situations difficult to study with classical psychophysical paradigms. The high rate of data collection may be useful in studies on clinical populations and children, who are unable to undergo long testing sessions. In this study, we designed tracking experiments with two novel stimulus features, numerosity and size, proving the feasibility of the technique outside standard object tracking. We went on to develop an ideal observer model that characterizes the results in terms of efficiency of conversion of stimulus strength into responses, and identification of early and late noise sources. Our ideal observer closely modeled results from human participants, providing a generalized framework for the interpretation of tracking data. The proposed model allows to use the tracking paradigm in various perceptual domains, and to study the divergence of human participants from ideal behavior.

Dual-line data collection scheme for efficient mobile sink operation in solar-powered wireless sensor networks

Solar energy harvesting has been presented as a key solution to alleviate the lifespan problem of conventional battery-based wireless sensor networks, but it does not address the problem of uneven energy consumption across the network. In conventional sensor networks with a stationary sink node, the nodes around the sink node consume more energy than other nodes, which is known as the hotspot problem. In recent studies, mobile sink technology has been proved to be an effective solution to the problem, where a mobile sink visits sensor nodes and collects data. To reduce the energy consumption of the mobile sink, a subset of sensor nodes are designated as anchor nodes to collect data for a certain period, and the mobile sink visits only such anchor nodes. However, even with these approaches, small hotspots can still be formed near those anchor nodes, hence it is crucial to optimize the selection and management of anchor nodes. This study aims to propose a dual line-based anchor node selection scheme tailored to efficiently solve the hotspot problem in mobile sink-based solar-powered wireless sensor networks. The proposed scheme designates the areas, in which some nodes can be chosen as anchor nodes, in the form of two lines. This dual line-based anchor selection algorithm effectively operates for the best use of the solar energy harvested by each node in a balanced manner. The experimental results confirm that the proposed scheme minimizes hotspots in the network, reduces the blackout time of nodes, and improves the data collection rate.

Adaptive Data Collection Using UAV With Wireless Power Transfer for Wireless Rechargeable Sensor Networks

Wireless sensor networks (WSNs) are used to collect large amounts of data over a wide area. However, the sensor nodes used in WSNs have a short lifespan because they are generally battery-operated. Research is actively underway to increase the lifespan of WSNs via techniques such as energy harvesting and wireless power transfer (WPT). This study proposes a scheme for clustering and adjusting the WSN data collection rate to alleviate the hotspot problem and improve network connectivity. The proposed scheme is targeted at WSNs in which the sensor nodes harvest solar energy. In addition, an unmanned aerial vehicle (UAV) traverses along a given path and delivers energy to sensor nodes using WPT, while collecting data as a sink node. In this scheme, the number of cluster heads is determined by considering the number of nodes at each hop distance and the maximum amount of data that can be transferred with the available energy. Further, sensor nodes limit the amount of data they collect to reduce the relay load on intermediate nodes. To achieve this, nodes consider the amount of data transferred by parent nodes, especially nodes in the hotspot, and the number of child nodes. The sink node traverses along a given path, and collects the data accumulated in the cluster head while supplying its remaining energy to the cluster head. The amount of energy it transfers is determined by considering the number of cluster heads. Consequently, nodes in the hotspot are prevented from becoming blacked out from a lack of energy, and the energy harvesting efficiency is increased. Simulation results indicate that the proposed scheme reduces the number of blackout nodes in the hotspot areas near cluster heads. Furthermore, the data collection and monitoring performance increases with the increase in network connectivity.

In Situ Transmission Electron Microscopy: Signal processing challenges and examples

Transmission electron microscopy (TEM) is a powerful tool for imaging material structure and characterizing material chemistry. Recent advances in data collection technology for TEM have enabled high-volume and high-resolution data collection at a microsecond frame rate. Taking advantage of these advances in data collection rates requires the development and application of data processing tools, including image analysis, feature extraction, and streaming data processing techniques. In this article, we highlight a few areas in materials science that have benefited from combining signal processing and statistical analysis with data collection capabilities in TEM and present a future outlook on opportunities of integrating signal processing with automated TEM data analysis.

Case Study of High-Throughput Drug Screening and Remote Data Collection for SARS-CoV-2 Main Protease by Using Serial Femtosecond X-ray Crystallography

Since early 2020, COVID-19 has grown to affect the lives of billions globally. A worldwide investigation has been ongoing for characterizing the virus and also for finding an effective drug and developing vaccines. As time has been of the essence, a crucial part of this research has been drug repurposing; therefore, confirmation of in silico drug screening studies have been carried out for this purpose. Here we demonstrated the possibility of screening a variety of drugs efficiently by leveraging a high data collection rate of 120 images/second with the new low-noise, high dynamic range ePix10k2M Pixel Array Detector installed at the Macromolecular Femtosecond Crystallography (MFX) instrument at the Linac Coherent Light Source (LCLS). The X-ray Free-Electron Laser (XFEL) is used for remote high-throughput data collection for drug repurposing of the main protease (Mpro) of SARS-CoV-2 at ambient temperature with mitigated X-ray radiation damage. We obtained multiple structures soaked with nine drug candidate molecules in two crystal forms. Although our drug binding attempts failed, we successfully established a high-throughput Serial Femtosecond X-ray crystallographic (SFX) data collection protocol.

Feasibility of a Web-Based Implementation Intervention to Improve Child Dietary Intake in Early Childhood Education and Care: Pilot Randomized Controlled Trial.

BackgroundInternationally, the implementation of evidence-based healthy eating policies and practices within early childhood education and care (ECEC) settings that encourage children’s healthy diet is recommended. Despite the existence of evidence-based healthy eating practices, research indicates that current implementation rates are inadequate. Web-based approaches provide a potentially effective and less costly approach to support ECEC staff with implementing nutrition policies and practices.ObjectiveThe broad aim of this pilot randomized controlled trial is to assess the feasibility of assessing the impact of a web-based program together with health promotion officer (HPO) support on ECEC center implementation of healthy eating policies and practices. Specifically, we seek to describe the completion rate of study evaluation processes (participant consent and data collection rates); examine ECEC center uptake, acceptability, and appropriateness of the intervention and implementation strategies; understand the potential cost of delivering and receiving implementation support strategies; and describe the potential impact of the web-based intervention on the implementation of targeted healthy eating practices among centers in the intervention group.MethodsA 6-month pilot implementation trial using a cluster-randomized controlled trial design was conducted in 22 ECEC centers within the Hunter New England region of New South Wales, Australia. Potentially eligible centers were distributed a recruitment package and telephoned by the research team to assess eligibility and obtain consent. Centers randomly allocated to the intervention group received access to a web-based program, together with HPO support (eg, educational outreach visit and local technical assistance) to implement 5 healthy eating practices. The web-based program incorporated audit with feedback, development of formal implementation blueprints, and educational materials to facilitate improvement in implementation. The centers allocated to the control group received the usual care.ResultsOf the 57 centers approached for the study, 22 (47%) provided consent to participate. Data collection components were completed by 100% (22/22) of the centers. High uptake for implementation strategies provided by HPOs (10/11, 91% to 11/11, 100%) and the web-based program (11/11, 100%) was observed. At follow-up, intervention centers had logged on to the program at an average of 5.18 (SD 2.52) times. The web-based program and implementation support strategies were highly acceptable (10/11, 91% to 11/11, 100%). Implementation of 4 healthy eating practices improved in the intervention group, ranging from 19% (2/11) to 64% (7/11).ConclusionsThis study provides promising pilot data to warrant the conduct of a fully powered implementation trial to assess the impact of the program on ECEC healthy eating practice implementation.Trial RegistrationAustralian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12619001158156; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378099International Registered Report Identifier (IRRID)RR2-10.1186/s40814-020-00707-w

A lay navigator-led, early palliative care intervention for African American and rural family caregivers of individuals with advanced cancer (Project Cornerstone): Results of a pilot randomized trial.

The objective of this study was to assess the feasibility, acceptability, and potential efficacy of ENABLE (Educate, Nurture, Advise, Before Life Ends) Cornerstone-a lay navigator-led, early palliative care telehealth intervention for African American/Black and/or rural-dwelling family caregivers of individuals with advanced cancer (ClinicalTrials.gov identifier NCT03464188). This was a pilot randomized trial (November 2019 to March 2021). Family caregivers of patients with newly diagnosed, stage III/IV, solid-tumor cancers were randomized to receive either an intervention or usual care. Intervention caregivers were paired with a specially trained lay navigator who delivered 6 weekly, 20-minute to 60-minute telehealth coaching sessions plus monthly follow-up for 24 weeks, reviewing skills in stress management, self-care, getting help, staying organized, and future planning. Feasibility was assessed according to the completion of sessions and questionnaires (predefined as a completion rate ≥80%). Acceptability was determined through intervention participants' ratings of their likelihood of recommending the intervention. Measures of caregiver distress and quality of life were collected at 8 and 24 weeks. Sixty-three family caregivers were randomized (usual care, n = 32; intervention, n = 31). Caregivers completed 65% of intervention sessions and 87% of questionnaires. Average ratings for recommending the program were 9.4, from 1 (not at all likely) to 10 (extremely likely). Over 24 weeks, the mean ± SE Hospital Anxiety and Depression Scale score improved by 0.30 ± 1.44 points in the intervention group and worsened by 1.99 ± 1.39 points in the usual care group (difference, -2.29; Cohen d, -0.32). The mean between-group difference scores in caregiver quality of life was -1.56 (usual care - intervention; d, -0.07). Similar outcome results were observed for patient participants. The authors piloted ENABLE Cornerstone, an intervention for African American and rural-dwelling advanced cancer family caregivers. The acceptability of the intervention and data collection rates were high, and the preliminary efficacy for caregiver distress was promising. To date, very few programs have been developed to support under-resourced cancer family caregivers. To address this need, the authors successfully pilot tested an early palliative care program, called Educate, Nurture, Advise, Before Life Ends (ENABLE) Cornerstone, for African American and rural family caregivers of individuals with advanced cancer. Cornerstone is led by specially trained lay people and involves a series of weekly phone sessions focused on coaching caregivers to manage stress and provide effective support to patients with cancer. The authors are now testing Cornerstone in a larger trial. If the program demonstrates benefit, it may yield a model of caregiver support that could be widely implemented.

Surface detectors of the TAx4 experiment

Telescope Array (TA) is the largest ultrahigh energy cosmic-ray (UHECR) observatory in the Northern Hemisphere. It explores the origin of UHECRs by measuring their energy spectrum, arrival-direction distribution, and mass composition using a surface detector (SD) array covering approximately 700 km2 and fluorescence detector (FD) stations. TA has found evidence for a cluster of cosmic rays with energies greater than 57 EeV. In order to confirm this evidence with more data, it is necessary to increase the data collection rate. We have begun building an expansion of TA that we call TAx4. In this paper, we explain the motivation, design, technical features, and expected performance of the TAx4 SD. We also present TAx4’s current status and examples of the data that have already been collected.

Facility for calibrating anemometers as a function of air velocity vector and turbulence

NIST calibrates anemometers as a function of airspeed vector and turbulence intensity (Tu). The vector capability (sometimes called ‘3D’) is particularly important for calibrating multi-hole differential-pressure probes that are often used to quantify pollution emitted by smokestacks of coal-burning electric power plants. Starting with a conventional ‘1D’ wind tunnel, we achieved vector and Tu capabilities by installing translation/rotation stages and removable turbulence generators (grids or flags). The calibration ranges are: yaw angle ±180°; pitch angle ±45°; airspeed 1 m s−1 to 30 m s−1; turbulence intensity 0.07 ⩽ Tu ⩽ 0.25; average data collection rate: 300 points/h at fixed Tu. The system’s expanded uncertainties corresponding to 95% confidence level are: airspeed 0.0045 × |V| + (0.036/|V|)2 where |V| is the magnitude of the airspeed in m s−1; pitch and yaw angles 0.3°; and turbulence intensity 0.03 Tu. The airspeed working standard is a laser Doppler anemometer that is traced to SI unit of velocity via a spinning disk. Calibrations are corrected for blockage by the instrument under test and its supports.

Comparison of equine synovial sepsis rate following intrasynovial injection in ambulatory versus hospital settings.

Frequency of synovial sepsis in horses following intrasynovial injection has been reported, but not compared with respect to the environment in which the injection was performed. To describe occurrence of synovial sepsis following intrasynovial injections performed in ambulatory vs hospital settings. Retrospective cohort study. Records from the Colorado State University were evaluated (2014-2018) and horses receiving intrasynovial injections were identified. Patients presenting for septic synovial structures were excluded. Patient signalment, primary supervising service, medications injected, location (field/hospital), whether synovial sepsis resulted, and at what time sepsis was recognised were recorded. Logistic regression was used to estimate the contributions of covariates to the occurrence of synovial sepsis following injection. During the study period, 3866 intrasynovial injections were performed in 1112 horses during 1623 sessions, with 643/1623 sessions performed in the field. The most frequently used medications were hyaluronate (846/1623, 52.1%), triamcinolone acetonide (780 /1623, 48.1%) and amikacin sulfate (684/1623, 42.1%). Four horses developed synovial sepsis (0.2% sessions, 0.1% synovial structures); 3/4 were injected in the field, 2/4 received antibiotics with the injection. The frequency of septic synovitis was 10.4 cases per 10000 injections, or 1 in 967 injections. All horses recovered following synovial lavage and antibiotic therapy. Performing injections in the field (P=.2) or without antibiotics (P=.7) did not alter the risk of synovial sepsis. Limitations include the retrospective nature of data collection and low rate of infection overall, which prohibited evaluation of individual medication regimes as factors associated with resultant infection. The frequency of synovial sepsis in this population of horses was not higher when injections were performed in the field or without concurrent antibiotic administration. These data may help to inform practitioners and clients regarding the relative potential risk of complications following intrasynovial medication in different environmental settings.