Capture Tools Research Articles

Use of CAPTURE to Identify Individuals Who May or May Not Require Treatment for COPD.

The COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE) tool was developed to identify patients with undiagnosed COPD with FEV1 <60% predicted or risk of exacerbation as treatment criteria. To test the ability of CAPTURE to identify patients requiring treatment because of symptoms or risk of exacerbation or hospitalization. Data were from COMPASS, a prospective study in China of COPD, chronic bronchitis without airflow limitation (post-bronchodilator FEV1/FVC >0.70), and healthy never-smokers. CAPTURE was tested as questions alone and with peak expiratory flow (PEF). Sensitivity, specificity, positive and negative predicted values (PPV and NPV) were calculated for CAT ≥10 vs <10, mMRC ≥2 vs <2, and ≥1 moderate exacerbation or hospitalization vs none in the previous year. COPD patients (n=1696), mean age 65±7.5 years, 90% males, post-bronchodilator FEV1 66.5±20.1% pred; controls (n=307), age 60.2±7.0 years, 65% males, FEV1/FVC 0.78±0.04. CAPTURE using PEF showed the best combination of sensitivity and specificity. Sensitivity and specificity to detect CAT ≥10 were 68.5% and 64.0%, respectively; mMRC ≥2 (85.6% and 61.0%), ≥1 moderate exacerbation (63.5% and 55.6%) and hospitalization (70.2% and 59.4%). PPV ranged 15.6% (moderate exacerbations) to 47.8% (CAT). NPV ranged 80.8% (CAT) to 95.6% (mMRC). CAPTURE has good sensitivity to identify COPD patients who may require treatment because of elevated symptoms, risk of exacerbations or hospitalization, including those with FEV1 >60% predicted. High NPV values show it can also exclude those who may not require treatment. GSK (208630).

Investigation on Machine Learning Approaches for Environmental Noise Classifications

This project aims to investigate the best machine learning (ML) algorithm for classifying sounds originating from the environment that were considered noise pollution in smart cities. Sound collection was carried out using necessary sound capture tools, after which ML classification models were utilized for sound recognition. Additionally, noise pollution monitoring using Python was conducted to provide accurate results for sixteen different types of noise that were collected in sixteen cities in Malaysia. The numbers on the diagonal represent the correctly classified noises from the test set. Using these correlation matrices, the F1 score was calculated, and a comparison was performed for all models. The best model was found to be random forest.

Planting hedgerows: Biomass carbon sequestration and contribution towards net-zero targets

Agroforestry practices, such as hedgerow planting, are widely encouraged for climate change mitigation and there is an urgent need to assess their contribution to national ‘net-zero’ targets. This study examined the impact that planting hedgerows at different rates could make to UK net-zero goals over the next 40 years, with a focus on 2050. We analysed the carbon (C) content of native hedgerow species and determined hedge aboveground biomass (AGB) C stock via destructive sampling of hedges of known ages. AGB C stocks ranged from 8.34 Mg C ha−1 in the youngest hedges, to 40.42 Mg C ha−1 in old ones. Knowing the age of the hedgerows, we calculated their annual average AGB C sequestration rate, which was highest in young hedges (2.09 Mg C ha−1 yr−1), and lowest in 39 year old mature, regularly trimmed hedgerows (0.86 Mg C ha−1 yr−1). We present a time series of the annual AGB C sequestration rate change between hedge age categories, which increases from 2.09 Mg C ha−1 yr−1 in the first 6 years after planting, to 2.26 Mg C ha−1 yr−1 in the next 6 years, and then decreases to 0.43 Mg C ha−1 yr−1 between years 13 and 40. Our results indicate that, if encouraged widely, hedgerow planting can be a valuable tool for atmospheric CO2 capture and storage, contributing towards net-zero targets. However, current planting rates (1778.8 km yr−1) are too low to reach the net-zero goal set by the UK Climate Change Committee of increasing hedgerow length by 40 % by 2050. An increased planting rate of 7148.1 km yr−1 will achieve this goal by 2050, and, over 40 years, store 3.41 Tg CO2 in hedge AGB, or 10.13 Tg CO2 in hedge total biomass and in the soil, annually offsetting 1.5 %–4.5 % of UK annual agricultural CO2 emissions.

Representing the photobiological dimension of light in northern architecture

Daylight can enhance the quality and inhabitability of architecture through a better relationship with the exterior environment, especially by its intensity, chromaticity and ability to synchronize the human circadian clock. Daylight integration in architecture remains a challenge in Nunavik (Quebec, Canada) due to its subarctic climate, photoperiod and solar geometry. The objective of this research is to implement photobiological metrics of light in architectural representations by isolating the photopic (daytime vision) and melanopic (circadian clock) portions of the electromagnetic spectrum, and to spatialize daylight and artificial light in relation to landscapes and indoor architectural spaces. An automated and low-cost capture tool based on Raspberry Pi microcomputers and Camera Modules (RPiCM) captures high dynamic range images, which accurately measure luminance to render human perception. Absolute photopic luminance maps (cd/m2) are supplemented with false colour displays of photopic/melanopic contents of light regarding building surface materials. The research develops photometric captures of absolute photopic and melanopic illuminance (lux, EML). Photobiological metrics of light are integrated into a set of physical properties of lighting patterns to perform light assessments and are ultimately represented as a graphical display to help designers and researchers to evaluate architectural interior–exterior relationships through daylight qualities.

Smart capture tool for space robots

On-Orbit-Servicing missions aim to improve the operative life of orbiting satellites. Among the studied technologies, the most promising are satellites equipped with one or more robotic arms (space robots). One robotic arm might be employed to establish a rigid connection with the target satellite, while the other performs the servicing operations. Nowadays, the control of the capture tool is managed by the computer of the space robot. However, it is possible to distribute the control tasks between the capture tool and the space robot.For this purpose, this paper presents the development of the SMArt Capture Kit (SMACK). SMACK is a standalone capture system equipped with sensors, actuators, and an integrated computer. In this fashion, the capture tool executes the guidance and navigation algorithms, and the control of the actuators; so that the space robot acts as the “positioning” system for the capture tool.The paper provides a description of all the subsystems of SMACK and their experimental validation. The tests of SMACK at the system level, confirm its capabilities to autonomously perform the capture the target interface.

Development of a framework and research impact capture tool for nursing, midwifery, allied health professions, healthcare science, pharmacy and psychology (NMAHPPs)

BackgroundThere is an ambitious target to create a UK clinical academic workforce representing 1% of clinicians from nursing, midwifery, the allied health professions, healthcare science, pharmacy and psychology (NMAHPPs). Understanding and recording the impact that clinical academics make across healthcare services is crucial if we are to grow, value and support this highly skilled workforce group. However, it is currently difficult to systematically record, collate and report the impacts associated with NMAHPP research activity. The aims of this project were to i) develop a framework outlining the impacts that were important for key stakeholder groups, and ii) create and pilot a research impact capture tool to record these impacts.MethodsThe framework was developed from the existing literature. It was refined, remodelled and approved by multidisciplinary stakeholder involvement, including patient and public representatives, healthcare managers and research-active clinicians. The framework was converted into a series of questions to create an electronic research impact capture tool, which was also refined through feedback from these stakeholder groups. The impact capture tool was piloted with research-active clinicians across a large NHS Trust and its associated organisations.ResultsThe impact framework contained eight elements: clinical background, research and service improvement activities, research capacity building, research into practice, patients and service users, research dissemination, economics and research funding, and collaborations. Thirty individuals provided data for the research impact capture tool pilot (55% response rate). Respondents reported a range of positive impacts representing all elements of the framework. Importantly, research-activity appeared to be a key driver for recruitment and retention in the sample population.ConclusionsThe impact capture tool is a feasible method of recording the breadth of impacts associated with NMAHPP research activity. We encourage other organisations to collaboratively use and refine our impact capture tool, with the aim of standardising reporting, and facilitating discussions about research activity within clinical appraisal. Pooling and comparing data will also allow comparison between organisations, and assessment of change over time or after implementation of interventions aimed at supporting and increasing research activity.

Static Terrestrial Laser Scanning (TLS) for Heritage Building Information Modeling (HBIM): A Systematic Review

Heritage Building Information Modeling (HBIM) is an essential technology for heritage documentation, conservation, and management. It enables people to understand, archive, advertise, and virtually reconstruct their built heritage. Creating highly accurate HBIM models requires the use of several reality capture tools, such as terrestrial laser scanning (TLS), photogrammetry, unmanned aerial vehicles (UAV), etc. However, the existing literature did not explicitly review the applications and impacts of TLS in implementing HBIM. This paper uses the PRISMA protocol to present a systematic review of TLS utilization in capturing reality data in order to recognize the status of applications of TLS for HBIM and identify the knowledge gaps on the topic. A thorough examination of the 58 selected articles revealed the state-of-the-art practices when utilizing static TLS technology for surveying and processing captured TLS data for developing HBIM models. Moreover, the absence of guidelines for using static TLS surveys for HBIM data acquisition, the lack of robust automated frameworks for producing/transferring 3D geometries and their attributes from TLS data to BIM entities, and the under-utilized application of TLS for long-term monitoring and change detection were identified as gaps in knowledge. The findings of this research provide stakeholders with a good grasp of static TLS for HBIM and therefore lay the foundation for further research, strategies, and scientific solutions for improving the utilization of TLS when documenting heritage structures and developing HBIM.

Open Science Drone Toolkit: Open source hardware and software for aerial data capture.

Despite the increased access to scientific publications and data as a result of open science initiatives, access to scientific tools remains limited. Uncrewed aerial vehicles (UAVs, or drones) can be a powerful tool for research in disciplines such as agriculture and environmental sciences, but their use in research is currently dominated by proprietary, closed source tools. The objective of this work was to collect, curate, organize and test a set of open source tools for aerial data capture for research purposes. The Open Science Drone Toolkit was built through a collaborative and iterative process by more than 100 people in five countries, and comprises an open-hardware autonomous drone and off-the-shelf hardware, open-source software, and guides and protocols that enable the user to perform all the necessary tasks to obtain aerial data. Data obtained with this toolkit over a wheat field was compared to data from satellite imagery and a commercial hand-held sensor, finding a high correlation for both instruments. Our results demonstrate the possibility of capturing research-grade aerial data using affordable, accessible, and customizable open source software and hardware, and using open workflows.

Fluorescence Spectroscopy and Silica Gel Applied as a Tool for Capture and Detection of Compressor Lubricant Oils

Here, we report the use of fluorescence spectroscopy for the identification of lubricant oils used in reciprocating compressors, and the use of silica gel as an adsorbent to capture lubricant oil vapors. The silica gel was tested for adsorption of lubricant oil vapors, by heating the samples at 200°C, the emission spectrum of the lubricant oils is observed on the silica gel layer, over 20 min of heating. The spectrum of the lubricant oils over the silica gel layer presents a redshift, an indication of the degradation effect. In order to investigate this effect on the optical properties, we conducted an experiment by heating the samples at (130 ± 4) °C, and collected at different times. The MID-infrared absorption of the samples presents bands of oxygen-containing groups at 1010 and 1050 cm-1, and NIR infrared absorption measurements at 3444 cm-1 show an increase in the hydroperoxide band during the degradation time. These two results indicate that the oxidation process is associated with the observed redshift of the absorption and emission bands in lubricant oils and over the adsorbent layer.

인도적 들개 포획 방법 및 도구의 활용

Feral dogs are not friendly to people and are very difficult to capture, unlike stray dogs in Korea. In addition, various problems caused by feral dogs are on the rise, so capture and adoption are urgently needed, but it is difficult to capture. The use of the COLLARUM® Canine Capture Device is considered to be a very useful live capture tool in the domestic situation where it is difficult to capture feral dogs. This capture tool meets international humanitarian capture standards and is already widely used in Australia and other places where feral dogs cause ecological problems, so its effectiveness and safety have been verified. It is easy to install and move, so it is possible to install many of them in places where it is difficult to use a capture frame, such as a mountain area, which is the main wild dog habitat in Korea. As described above, COLLARUM® can be installed in almost any place, including mountainous areas, so it is possible to safely capture feral dogs as well as stray dogs, enabling effective management of abandoned animals. Therefore, it is considered to be the equipment that should be most actively considered for domestic introduction and local government distribution in order to manage the population of wild dogs and increase the capture rate.

Quantification and Rehabilitation of Unilateral Spatial Neglect in Immersive Virtual Reality: A Validation Study in Healthy Subjects.

Unilateral spatial neglect is a common sensorimotor disorder following the occurrence of a stroke, for which prismatic adaptation is a promising rehabilitation method. However, the use of prisms for rehabilitation often requires the use of specific equipment that may not be available in clinics. To address this limitation, we developed a new software package that allows for the quantification and rehabilitation of unilateral spatial neglect using immersive virtual reality. In this study, we compared the effects of virtual and real prisms in healthy subjects and evaluated the performance of our virtual reality tool (HTC Vive) against a validated motion capture tool. Ten healthy subjects were randomly exposed to virtual and real prisms, and measurements were taken before and after exposure. Our findings indicate that virtual prisms are at least as effective as real prisms in inducing aftereffects (4.39° ± 2.91° with the virtual prisms compared to 4.30° ± 3.49° with the real prisms), but that these effects were not sustained beyond 2 h regardless of exposure modality. The virtual measurements obtained with our software showed excellent metrological qualities (ICC = 0.95, error = 0.52° ± 1.18°), demonstrating its validity and reliability for quantifying deviation during pointing movements. Overall, our results suggest that our virtual reality software (Virtualis, Montpellier, France) could provide an easy and reliable means of quantifying and rehabilitating spatial neglect. Further validation of these results is required in individuals with unilateral spatial neglect.

Fabrication and immobilization of heteropoly acids (HPAs) and hexadecyl trimethyl ammonium bromide (CTAB) co-modified ternary zinc indium sulfide (ZnIn2S4): Capture photogenerated electrons and pollutant molecules by co-photocatalyst for enhancing the photocatalytic ability

In this article, a series of HPAs, including phosphotungstic acid (H3PW12O40), silicotungstic acid (H4SiW12O40), phosphomolybdic acid (H3PMo12O40), and hexadecyl trimethyl ammonium bromide (CTAB) co-modified ZnIn2S4 photocatalysts (HPAs/CTAB@ZnIn2S4) were successfully fabricated for the first time by a simple one-pot hydrothermal strategy. As a photogenerated electron capture tool, HPAs and CTAB can capture photogenerated electrons by W 5d (or Mo 4d) unsaturated electron orbitals and quaternary ammonium groups (–N+), thus improving the photogenerated carrier (e––h+) separation efficiency of the main photocatalyst ZnIn2S4. As a pollutant molecule capture tool, HPAs and CTAB can capture pollutant molecules to the surface of photocatalyst through acid-base interaction and hydrogen bonding, so that the target pollutants can be efficiently degraded in the environment of high concentration hydroxyl radicals (·OH). In order to improve the engineering application value of as-prepared photocatalyst, we also successfully fabricated immobilized photocatalyst (H3PMo12O40/CTAB@ZnIn2S4@CC) by using clay ceramsite (CC) as a carrier. The photocatalytic activity of immobilized H3PMo12O40/CTAB@ZnIn2S4@CC is higher than that of H3PMo12O40/CTAB@ZnIn2S4 due to the trapping effect of CC carrier on photons.

Women’s experiences with using patient-reported outcome and experience measures in routine perinatal care in the Netherlands: a mixed-methods study

ObjectivesTo gain insight into the experiences of women with completing and discussing patient-reported outcome measures (PROM) and patient-reported experience measures (PREM), and tailoring their care based on their outcomes.DesignA mixed-methods...

Current status and length–weight relation of the European mudminnow, Umbra krameri (Actinopterygii: Esociformes: Umbridae), from Jieț River, Dolj County, southwestern Romania

The habitat of the European mudminnow, Umbra krameri Walbaum, 1792, is continuously decreasing due to human intervention. The species has a “vulnerable” status according to the IUCN Red List. Thus, new information about the species is needed for conservation efforts. Minnow traps were used for capturing Umbra krameri and other small fishes in the Jieț River, Dolj County, southwestern Romania. Captured specimens of U. krameri were measured and weighed. Length–weight relations and relative condition factor were determined for the captured U. krameri specimens. A total of 94 fishes were captured using the minnow traps. They represented 7 species: European bitterling, Rhodeus amarus (Bloch, 1782), roach, Rutilus rutilus (Linnaeus, 1758), rudd, Scardinius erythrophthalmus (Linnaeus, 1758), Danubian spined loach, Cobitis elongatoides Băcescu et Mayer, 1969, weatherfish, Misgurnus fossilis (Linnaeus, 1758), tubenose goby, Proterorhinus marmoratus (Pallas, 1814), and U. krameri. The specimens of Umbra krameri represented 44% (41 specimens) of the total catch. The wet body weight (BW) of U. krameri ranged from 0.8 to 5.1 g, having a mean value of 2.102 g. The mean total length (TL) was 5.782 cm, ranging from 4.59 to 7.87 cm. According to the length–weight relation (LWR), the growth type of U. krameri was positive allometric based on the determined equation: BW = 0.0068TL3.277. The mean value determined for the relative condition factor (Kn) was 1.0056486. The growth condition of 46% of the specimens was poor (Kn &amp;lt; 1; n = 19), while the other 54% were in good condition (Kn ≥ 1; n = 22). The presently reported study provides information about the presence of U. krameri in the Jieț River (Dolj County, Romania), a location where the species has not been previously reported. The LWRs show an allometric positive growth. The relative condition factor shows that 46% of the specimens had poor growth, while the rest were in good condition. Minnow traps were an efficient tool for small fish capture.

The role of jurisprudence in public value capture in urban development: A comparative analysis from Dutch, English, Spanish and Colombian courts

In the past decades, public bodies made growing attempts to ensure urban developers financed public urban infrastructure. These attempts have led to debates in international urban planning literature addressing the legitimacy of public value capture. However, the relevance of jurisprudence remains underreported. This paper aims to partially fill this gap by exploring, in four countries, the relevance of jurisprudence for the legitimacy (which contributions are legal, when and why) of a specific public value capture tool: Developer Obligations (DOs). In the case of Dutch and English courts, their decisions supported the legitimacy of gradual enlargement of the scope of obligations. The Spanish courts focus on the equal share of contributions among all landowners instead. In these three countries, the legality of contributions might be addressed in different ways while it is not fundamentally disputed. In Colombia it was—and jurisprudence ended the discussion.

Web Geographic Information System: A Support Tool for the Study, Evaluation, and Monitoring of Foci of Malaria Transmission in Mexico.

Malaria is currently an endemic disease in Mexico. The country joined the WHO's E-25 initiative for the elimination of Plasmodium vivax to achieve elimination and certification within the established period. Having a Web-based information system was, therefore, deemed necessary to assist in the detection, investigation, and elimination of transmission in the foci, as well as for the timely treatment of malaria-positive cases. The "Information System for the Elimination of Malaria in Mexico" was designed, developed, and implemented with a geographic vision, which includes a Web tool to georeference homes and aquatic systems, a dashboard and an indicator evaluation card for monitoring activities, notification of probable cases, and vector control among other indicators. The implementation of the system was gradual in the seven states that are currently in the malaria elimination phase; subsequently, the system was implemented in non-transmission states. In 2020, the system implementation stage began; first, the basic data of more than 96,000 homes throughout the country were georeferenced, and then the primary data capture tools of 17 formats, 32 reports, and 2 geographic viewers were enabled for information queries. A total of 56 active foci have been identified in 406 localities as well as 71 residual foci in 320 localities. Recently, the Foci Manager was developed, which is a specific tool for the study, evaluation, and monitoring of active foci through a GIS, a dashboard, and a systematized evaluation certificate. Georeferencing tools decreased the cost of spatial data collection.

Using Panopto In-Video Quizzes for Online Education

Panopto is a screen and lecture capture tool that can create in-video quizzes. By following guidelines, creating quizzes in Panopto can effectively keep students watching and help the lecture content stick in learners' memories.

A distractions capture tool for cardiac surgery and lung transplantation: impact on outcomes

ObjectivesSurgical distractions are associated with worse patient outcomes. Lung transplantation and cardiac surgery’s multi-disciplinary nature, and their inherent complexities render them more vulnerable to distractions. We aim to use a novel distractions capture tool to evaluate the severity of distractions during cardiac surgery (CS) and lung transplantation (LTx) and assess its impact on post-operative complications.MethodsA prospective ‘blinded’ study was undertaken by direct observation of distractions during CS and LTx. Events were identified using the Imperial College Error Capture tool (ICECAP). Number and severity of distractions were correlated with post-operative outcomes (ICU & hospital stay, bleeding and anastomotic complications).ResultsIn LTx, we observed 2059 distractions within 287 h across 41 surgeries. In CS, we observed 1089 distractions within 192 h across 62 surgeries. Surgeons were consciously aware of 19.2% (LTx) and 21.3% (CS) of recorded events. Distractions consisted of procedure-independent pressures (61% LTx vs 56% CS), equipment problems (15% LTx vs 23%CS), communication (12% LTx vs 12% CS), technical problems or patient safety concerns (12% LTx vs 9% CS). In CS, 91% of procedure-independent pressures were non-operative distractions whilst LTx recorded 83%. Staff absences at a critical moment of surgery were recorded at 9% (LTx) and 7% (CS). The number and severity of distractions correlated with bleeding (CS p < 0.001, LTx p < 0.01), prolonged ICU stay (CS p = 0.002, LTx p = 0.002), hospital stay (CS p < 0.001) and anastomotic complications(LTx p < 0.03).ConclusionsICECAP as a novel surgical distractions capture tool was effective & applicable to both elective cardiac and urgent transplant surgeries. Surgeons were unaware of a large number of distractions & interruptions. Distractions were associated with longer ICU stay and higher rate of bleeding.

Graph-Based methodology for Multi-Scale generation of energy analysis models from IFC

Process digitalisation and automation is unstoppable in all industries, including construction. However, its widespread adoption, even for non-experts, demands easy-to-use tools that reduce technical requirements. BIM to BEM (Building Energy Models) workflows are a clear example, where ad-hoc prepared models are needed. This paper describes a methodology, based on graph techniques, to automate it by highly reducing the input BIM requirements found in similar approaches, being applicable to almost any IFC. This is especially relevant in retrofitting, where reality capture tools (e.g., 3D laser scanning, object recognition in drawings) are prone to create geometry clashes and other inconsistencies, posing higher challenges for automation. Another innovation presented is its multi-scale nature, efficiently addressing the surroundings impact in the energy model. The application to selected test cases has been successful and further tests are ongoing, considering a higher variety of BIM models in relation to tools and techniques used and model sizes.

The WSN intrusion detection method based on deep data mining

ABSTRACT Aiming at the defects that wireless sensor network is vulnerable to intrusion attacks and affects communication performance, a WSN intrusion detection method based on deep data mining is presented. The network traffic capture tool is used to capture the data stream of the wireless sensor network, and the captured data stream is cleaned and normalized. An improved deep sparse autoencoder is used to extract WSN intrusion features from the normalized data stream. The extracted intrusion features are taken as the initial data of K-means clustering, to optimize the k-means clustering algorithm (KMCA) by genetic algorithm. The reasonable initial center point searched by the genetic algorithm is taken as the input parameter of the improved KMCA. The proposed method can detect internal attacks, external attacks and other intrusion behaviors in wireless sensor networks, and the false detection rate is less than 1%.