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Artykuły w czasopismach na temat „Data capture”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 maja 2024

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1

Srikanth I Chandan, O. "Advancing Clinical Data Capture: Embracing Electronic Data Capture (EDC) for Enhanced Efficiency and Quality". International Journal of Science and Research (IJSR) 12, nr 7 (5.07.2023): 1261–64. http://dx.doi.org/10.21275/sr23717190711.

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Yong-Qiong Zhu, Yong-Qiong Zhu, Ye-Ming Cai Yong-Qiong Zhu i Fan Zhang Ye-Ming Cai. "Motion Capture Data Denoising Based on LSTNet Autoencoder". 網際網路技術學刊 23, nr 1 (styczeń 2022): 011–20. http://dx.doi.org/10.53106/160792642022012301002.

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<p>This paper proposes a novel deep learning-based optical motion capture denoising model encoder-LSTNet- decoder (ELD). ELD uses an autoencoder for manifold learning and decoder to remove jitter noise and missing noise effectively. It uses recurrent units in LSTNet to effectively obtain the spatial-temporal information of motion sequences, especially the periodic long-term and short-term features. In the denoising procedure, the kinetical characteristics of the motion are also considered so that the reconstructed deviation is smaller and can more accurately reflect the real action. We simulated ELD with the CMU database and compared it with the art-of-state methods. The experiment shows that ELD is a very effective denoising technique with lower reconstruction error, stronger robustness, and shorter running time.</p> <p> </p>

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3

Macdonald, A. J. D., i A. Simpson. "Field data capture". Psychiatric Bulletin 14, nr 5 (maj 1990): 292–94. http://dx.doi.org/10.1192/pb.14.5.292.

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The process of psychiatric research, as distinct from its content, has been the subject of little comment. Central to present-day techniques are the use of questionnaires and more or less structured interviews. Pre-coded data are preferred, and even if there are few cases in any one study, the quantity of data collected for each usually compensates for this and justifies computer analysis, using statistical packages such as SPSS∗. The days of punched cards have passed (only in the last eight years in one centre of excellence), so at least one of the error-prone steps (transfer of data from paper schedules by card-puncher) has been abolished, but the major chore is still this process, albeit direct to magnetic media (floppy or hard disk).

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Bergstrom, Bradley J. "An analysis of multiple captures in Permoyscus with a critique on methodology". Canadian Journal of Zoology 64, nr 7 (1.07.1986): 1407–11. http://dx.doi.org/10.1139/z86-209.

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Multiple captures obtained in Sherman traps are reported for Peromyscus maniculatus (66 intraspecific, 6 interspecific) and P. difficilis (12 intraspecific, 4 interspecific) in Colorado. Multiple capture frequency in P. maniculatus. (3.53%) was higher than in P. difficilis (1.94%), which probably resulted from the greater weights of P. difficilis. Only one case of injury or death was noted in 84 multiple captures. Multiple captures occurred in traps in which the treadles were significantly less sensitive to tripping than traps that captured single mice, which suggested that pairs of mice did not enter the traps simultaneoulsy. Adult mice were disproportionatley sampled in single captures because of the insensitivity of the tripping mechanism. For the same reason, immature mice were disproportionately sampled in multiple captures. These trap-related biases can create spurious age and sex associations within multiple captures. Trap bias should be tested explicitly before attempting to analyze multiple-capture data from single-capture traps. A "socially null" model of random encounter of traps by captured pairs fits many of the data presented here and is suggested as the appropriate null hypothesis for these analyses. If live-trapping data must be used to address questions of social behavior, the use of actual multiple-capture traps, preferably to study long-term associations between individuals, is suggested.

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Goel, Alexander K., Walter Scott Campbell i Richard Moldwin. "Structured Data Capture for Oncology". JCO Clinical Cancer Informatics, nr 5 (luty 2021): 194–201. http://dx.doi.org/10.1200/cci.20.00103.

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Lack of interoperability is one of the greatest challenges facing healthcare informatics. Recent interoperability efforts have focused primarily on data transmission and generally ignore data capture standardization. Structured Data Capture (SDC) is an open-source technical framework that enables the capture and exchange of standardized and structured data in interoperable data entry forms (DEFs) at the point of care. Some of SDC’s primary use cases concern complex oncology data such as anatomic pathology, biomarkers, and clinical oncology data collection and reporting. Its interoperability goals are the preservation of semantic, contextual, and structural integrity of the captured data throughout the data’s lifespan. SDC documents are written in eXtensible Markup Language (XML) and are therefore computer readable, yet technology agnostic—SDC can be implemented by any EHR vendor or registry. Any SDC-capable system can render an SDC XML file into a DEF, receive and parse an SDC transmission, and regenerate the original SDC form as a DEF or synoptic report with the response data intact. SDC is therefore able to facilitate interoperable data capture and exchange for patient care, clinical trials, cancer surveillance and public health needs, clinical research, and computable care guidelines. The usability of SDC-captured oncology data is enhanced when the SDC data elements are mapped to standard terminologies. For example, an SDC map to Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) enables aggregation of SDC data with other related data sets and permits advanced queries and groupings on the basis of SNOMED CT concept attributes and description logic. SDC supports terminology maps using separate map files or as terminology codes embedded in an SDC document.

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6

Kumar Alay, Prashanth. "Delivering a Clinical Trial Study Build in An Electronic Data Capture System for Data Collection". International Journal of Health Sciences and Research 13, nr 3 (14.03.2023): 229–33. http://dx.doi.org/10.52403/ijhsr.20230324.

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All aspects of health, disease, and healthcare, encompass under Health Sciences. It indeed is a large group of disciplines, which through the application of technology, strives to deliver the best health care to humans. Subject data is generated in humongous amounts and data collection is deemed of utmost importance. As focus on patient’s experience continues to grow, virtual models for data collection and decentralized components have gained momentum. Electronic Data Capture (EDC) systems help capture clinical data and collect it from any source and harmonize it in a single place. Clinical data collected and captured, provides valuable clinical insights and a data capture system can be utilized for several study designs across various customers. Key words: [Electronic Data Capture (EDC), Case Report Form (CRF), User Acceptance Testing (UAT), a Clinical Database Management System (CDMS)]

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7

Attenni, Martina, Marika Griffo, Carlo Inglese, Alfonso Ippolito, Eric Lo i Dominique Rissolo. "Flexibility of Dense 3D Data Capture". Studies in Digital Heritage 5, nr 1 (30.06.2021): 62–74. http://dx.doi.org/10.14434/sdh.v5i1.31442.

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The knowledge and study of built heritage is now deeply connected to methodologies associated with the capture of surface details via the production of point-data. These methodologies enable researchers to gather a wider range of information, which is increasingly more connected to technological advances. Such approaches influence the management of data, and these data are often redundant due to the ways in which they are captured. Massive data capture does not include preliminary selection based on metric, geometric, and material features of the object. A multi-scalar approach, in which the criteria for data capture depends on the goals of the survey, is needed to optimize the relationship between information and the scale of the models to be built. This case study involving a selection of fountains in Rome aims to apply these principles to urban contexts defined by a strong spatial connection between architectural and sculptural elements. Survey can express this distinctiveness through complex, dynamic, and effective digital models.

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8

Hyde, Andrew William. "The Changing Face of Electronic Data Capture: From Remote Data Entry to Direct Data Capture". Drug Information Journal 32, nr 4 (październik 1998): 1089–92. http://dx.doi.org/10.1177/009286159803200429.

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Helms, Ronald W. "Data Quality Issues in Electronic Data Capture". Drug Information Journal 35, nr 3 (lipiec 2001): 827–37. http://dx.doi.org/10.1177/009286150103500320.

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10

Walther, Brigitte, Safayet Hossin, John Townend, Neil Abernethy, David Parker i David Jeffries. "Comparison of Electronic Data Capture (EDC) with the Standard Data Capture Method for Clinical Trial Data". PLoS ONE 6, nr 9 (23.09.2011): e25348. http://dx.doi.org/10.1371/journal.pone.0025348.

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Takacs, Viktoria, Piotr Zduniak, Marek Panek i Piotr Tryjanowski. "Does handling reduce the winter body mass of the European hare?" Open Life Sciences 4, nr 3 (1.09.2009): 427–33. http://dx.doi.org/10.2478/s11535-009-0020-6.

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AbstractWinter body mass of the European hare Lepus europaeus Pallas 1778 was analyzed with a special focus on changes induced by handling. Data were obtained from large scale translocation (net catchments) during 1960–1980 in Poland. The influence of handling was compared using the mass of first-time captured and repeatedly-captured hares, and, in case of repeated capture, individuals’ mass changes were investigated. The average body mass ranged from 2.1 kg to 5.0 kg. Generally, fewer factors influenced the hare’s body mass than expected. Body mass was related to age and winter precipitation, while the date of catching, sex and temperature did not have an effect. Body mass of first-captured hares were significantly higher than the re-captured ones (3.99±0.42 vs. 3.88±0.48, mean ±SD). Body mass change between captures was related to the date of the first capture, and the duration between the first capture and re-capture. Following the initial capture, a slight (2.8±2.6), but significant decrease in body weight occurred. Thus, the handling of hares should be used with caution during studies or management of the species.

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12

Doshi, Reena H., Kevin Apodaca, Moses Ogwal, Rommel Bain, Ermias Amene, Herbert Kiyingi, George Aluzimbi i in. "Estimating the Size of Key Populations in Kampala, Uganda: 3-Source Capture-Recapture Study". JMIR Public Health and Surveillance 5, nr 3 (12.08.2019): e12118. http://dx.doi.org/10.2196/12118.

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Background Key populations, including people who inject drugs (PWID), men who have sex with men (MSM), and female sex workers (FSW), are disproportionately affected by the HIV epidemic. Understanding the magnitude of, and informing the public health response to, the HIV epidemic among these populations requires accurate size estimates. However, low social visibility poses challenges to these efforts. Objective The objective of this study was to derive population size estimates of PWID, MSM, and FSW in Kampala using capture-recapture. Methods Between June and October 2017, unique objects were distributed to the PWID, MSM, and FSW populations in Kampala. PWID, MSM, and FSW were each sampled during 3 independent captures; unique objects were offered in captures 1 and 2. PWID, MSM, and FSW sampled during captures 2 and 3 were asked if they had received either or both of the distributed objects. All captures were completed 1 week apart. The numbers of PWID, MSM, and FSW receiving one or both objects were determined. Population size estimates were derived using the Lincoln-Petersen method for 2-source capture-recapture (PWID) and Bayesian nonparametric latent-class model for 3-source capture-recapture (MSM and FSW). Results We sampled 467 PWID in capture 1 and 450 in capture 2; a total of 54 PWID were captured in both. We sampled 542, 574, and 598 MSM in captures 1, 2, and 3, respectively. There were 70 recaptures between captures 1 and 2, 103 recaptures between captures 2 and 3, and 155 recaptures between captures 1 and 3. There were 57 MSM captured in all 3 captures. We sampled 962, 965, and 1417 FSW in captures 1, 2, and 3, respectively. There were 316 recaptures between captures 1 and 2, 214 recaptures between captures 2 and 3, and 235 recaptures between captures 1 and 3. There were 109 FSW captured in all 3 rounds. The estimated number of PWID was 3892 (3090-5126), the estimated number of MSM was 14,019 (95% credible interval (CI) 4995-40,949), and the estimated number of FSW was 8848 (95% CI 6337-17,470). Conclusions Our population size estimates for PWID, MSM, and FSW in Kampala provide critical population denominator data to inform HIV prevention and treatment programs. The 3-source capture-recapture is a feasible method to advance key population size estimation.

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Fletcher, David. "Analysis of Capture–Recapture Data". Ecology 87, nr 8 (sierpień 2006): 2133–34. http://dx.doi.org/10.1890/0012-9658(2006)87[2133:aocd]2.0.co;2.

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14

Holder, Yvette. "Data capture for injury prevention". Injury Prevention 26, nr 4 (21.07.2020): 391–94. http://dx.doi.org/10.1136/injuryprev-2020-043674.

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More than a half-century of developments have expanded the demand for data for the prevention of injuries. This article follows the progress as data collection becomes more comprehensive, encompassing all types of injuries, in a wide range of economic and cultural environments. It describes the challenges of new developments and the responses to deal with them, challenges of poor coordination of data sources, sector ownership, non-uniformity and missing data elements that are critical for prevention. The tools and approaches that may be employed are outlined, from observatories to surveillance systems, from standardised injury coding systems such as the International Classification of External Cause of Injuries to manuals and guidelines for collecting injury data through surveillance and surveys. More and better data encourages greater utilisation which in turn identifies new issues to be addressed, a most exciting situation for any injury practitioner.

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15

Tarleton, J. "DATA CAPTURE IN THE 1990s". Photogrammetric Record 13, nr 77 (26.08.2006): 717–20. http://dx.doi.org/10.1111/j.1477-9730.1991.tb00733.x.

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Zwane, Eugene N. "Structurally missing capture–recapture data". IMA Journal of Management Mathematics 17, nr 1 (1.01.2006): 17–24. http://dx.doi.org/10.1093/imaman/dpi020.

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McLintock, T. T. C., i G. N. C. Kenny. "Automatic data capture in anaesthesia". Baillière's Clinical Anaesthesiology 4, nr 1 (czerwiec 1990): 35–46. http://dx.doi.org/10.1016/s0950-3501(05)80169-2.

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Sharp, Kevin. "Data capture with bells on". Computerised Manufacturing 1988, nr 1 (1988): 12. http://dx.doi.org/10.1049/cm.1988.0009.

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Dong, Bin, Songlei Jian i Ke Zuo. "CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships". Entropy 22, nr 4 (29.03.2020): 391. http://dx.doi.org/10.3390/e22040391.

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Categorical data are ubiquitous in machine learning tasks, and the representation of categorical data plays an important role in the learning performance. The heterogeneous coupling relationships between features and feature values reflect the characteristics of the real-world categorical data which need to be captured in the representations. The paper proposes an enhanced categorical data embedding method, i.e., CDE++, which captures the heterogeneous feature value coupling relationships into the representations. Based on information theory and the hierarchical couplings defined in our previous work CDE (Categorical Data Embedding by learning hierarchical value coupling), CDE++ adopts mutual information and margin entropy to capture feature couplings and designs a hybrid clustering strategy to capture multiple types of feature value clusters. Moreover, Autoencoder is used to learn non-linear couplings between features and value clusters. The categorical data embeddings generated by CDE++ are low-dimensional numerical vectors which are directly applied to clustering and classification and achieve the best performance comparing with other categorical representation learning methods. Parameter sensitivity and scalability tests are also conducted to demonstrate the superiority of CDE++.

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Zega, Selly Artaty, Ahmad Saropi, Timothy Ronaldy, Yogi Ilhami i Muhammad Farabi. "Mengatasi Data Error Pada Proses Data Cleaning Motion Capture Motive Optitrack". JOURNAL OF APPLIED MULTIMEDIA AND NETWORKING 6, nr 1 (7.07.2022): 89–94. http://dx.doi.org/10.30871/jamn.v6i1.4210.

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Motion capture adalah sebuah teknologi dalam industri multimedia yang berguna untuk merekam gerakan secara digital dengan menggunakan metode sensor.Teknologi motion capture semakin berkembang dari waktu ke waktu, motion capture sudah digunakan di beberapa produk digital seperti game, efek visual, dan film animasi.pada proses perekaman gerakan, motion capture menggunakan sensor optik atau sensor magnet, langkah selanjutnya adalah proses pembersihan data.proses pembersihan data akan membersihkan noise atau kesalahan gerakan. Menggunakan motion capture akan membuat proses produksi lebih cepat karena motion capture tidak menggunakan cara manual keyframe.Artikel ini bertujuan untuk membantu pengguna aplikasi motive agar proses pembersihan data menjadi lebih cepat dengan metode penelitian dan pengembangan. Dengan data-data yang telah terkumpul dalam beberapa proses perekaman, penulis berharap artikel ini dapat digunakan sebagai panduan dalam merekam gerak hingga proses pembersihan data dengan aplikasi motif.

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Carvalho, J. C., D. Declerck, E. De Vos, J. Kellen, J. P. Van Nieuwenhuysen, J. Vanobbergen, P. Bottenberg i C. Declerck. "Validation of the Oral Survey-B System for Electronic Data Capture in National Oral Health Surveys". Caries Research 50, nr 3 (2016): 288–94. http://dx.doi.org/10.1159/000445446.

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The aims of the present study were to incorporate and to validate the electronic capture of participant-related outcomes into the Oral Survey-B System, which was originally developed for the electronic capture of clinical data. The validation process compared the performances of electronic and handwritten data captures. The hypothesis of noninferiority would be established if participants performed electronic data capture of the questionnaire survey with an effectiveness of at least 95% of that of handwritten data capture. In this multicenter, randomized, one-period crossover study design, participants (n = 261) were allocated to start with either electronic or handwritten data capture. The incorporation of the electronic self-completed questionnaire into the Oral Survey-B System was successful. The validation of the electronic questionnaire was performed by participants aged from 18 to 75 years. The interrater reliability of participants performing electronic and handwritten data capture of nonclinical assessments per questionnaire and per entry showed a kappa value of 0.72 (95% CI: 0.53-0.94). The noninferiority of electronic data capture in relation to that of the handwritten data capture and transfer was shown (p < 0.0001; 95% CI: 1.47-2.99). In conclusion, the electronic capture of participant-related outcomes with the Oral Survey-B System, originally designed for capture of clinical data, was validated. The electronic data capture was accurate and limited the number of errors. The participants were able to perform electronic data capture effectively, supporting its implementation in further National Oral Health Surveys. With the consideration of participant preference and time savings, this could lead to the implementation of electronic data capture worldwide in National Oral Health Surveys.

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Harter, Derek, i Shulan Lu. "MotionRender: A simple Python implementation of video motion visualization for 3D motion capture data". F1000Research 13 (8.01.2024): 43. http://dx.doi.org/10.12688/f1000research.138349.1.

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We describe a Python library project for generating animations of simple 3D motion capture data points. The motion capture method is agnostic with respect to this visualizaiton tool, expecting a time series of time stamped coordinates captured in a 3-dimensional space. One of the advantages of this tool is the simple data format design. This tool was developed originally for a Kinect system implementing skeleton tracking of 15 joint positions, where each data point consists of an accurate time of capture (time stamp), and 3 accurate coordinate (x, y, z) positions of each of the 15 joints at each time step. In addition to the motion capture time series, all that is needed is a joint graph file describing the relationship of the joint edges to one another. This library can be extended to visualize and create animations of motion capture data that can be reformulated using this basic structure of a time series of time stamped 3D coordinates and a joint graph description file. This library should be useful as is, or with easy modification, for many such visualization requirements of similar motion capture data.

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&NA;. "Data Capture Combined With Physician Survey". Journal of Clinical Engineering 37, nr 4 (2012): 124. http://dx.doi.org/10.1097/01.jce.0000419268.45502.ca.

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Sterling, N. C., i M. C. Witthoeft. "Atomic data for neutron-capture elements". Astronomy & Astrophysics 529 (22.04.2011): A147. http://dx.doi.org/10.1051/0004-6361/201116718.

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Sterling, N. C. "Atomic data for neutron-capture elements". Astronomy & Astrophysics 533 (29.08.2011): A62. http://dx.doi.org/10.1051/0004-6361/201117471.

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Sterling, N. C., i P. C. Stancil. "Atomic data for neutron-capture elements". Astronomy & Astrophysics 535 (listopad 2011): A117. http://dx.doi.org/10.1051/0004-6361/201117584.

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Takebayashi, Yusuke, Koji Nishio i Ken-ichi Kobori. "Similarity Retrieval for Motion Capture Data". Journal of The Institute of Image Information and Television Engineers 62, nr 9 (2008): 1420–26. http://dx.doi.org/10.3169/itej.62.1420.

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Knight, M. J., R. Sutton, R. S. Burns i D. F. L. Jenkins. "Sensor bandwidth reduction for data capture". Measurement Science and Technology 12, nr 10 (12.09.2001): N35—N38. http://dx.doi.org/10.1088/0957-0233/12/10/401.

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ROBINSON, DAVID. "Data capture using hand-held computers". Journal of Psychiatric and Mental Health Nursing 1, nr 2 (kwiecień 1994): 126–27. http://dx.doi.org/10.1111/j.1365-2850.1994.tb00030.x.

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Methley, B. D. F. "PHOTOGRAMMETRIC DATA CAPTURE: AN INEXPENSIVE ALTERNATIVE". Photogrammetric Record 14, nr 83 (kwiecień 1994): 793–803. http://dx.doi.org/10.1111/j.1477-9730.1994.tb00792.x.

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Alavi, Cameron B., i John D. Massman. "Selecting an Electronic Data Capture System". Urology Practice 3, nr 3 (maj 2016): 236–41. http://dx.doi.org/10.1016/j.urpr.2015.06.007.

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Dunbar, Margaret, Lisa Demolitor i Robin Read. "Beyond Data Capture to Practice Change". Canadian Journal of Diabetes 42, nr 5 (październik 2018): S59. http://dx.doi.org/10.1016/j.jcjd.2018.08.181.

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McKay, R. J., i J. S. Bradley. "Erlangian models for capture-recapture data". Ecological Modelling 40, nr 3-4 (marzec 1988): 161–73. http://dx.doi.org/10.1016/0304-3800(88)90016-6.

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Balazia, Michal, i Petr Sojka. "Gait Recognition from Motion Capture Data". ACM Transactions on Multimedia Computing, Communications, and Applications 14, nr 1s (2.04.2018): 1–18. http://dx.doi.org/10.1145/3152124.

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Brighton, M. "Data capture in the 80's". Communicare: Journal for Communication Studies in Africa 2, nr 1 (21.11.2022): 12–19. http://dx.doi.org/10.36615/jcsa.v2i1.2187.

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This paper argues that social and economic pressures plus the rapid development of electronic devices will, through the present decade. produce a significant shift from face to face interviewing at private addresses, towards centralised interviewing, postal surveys, telephone surveys, qualitative research and direct data capture via specialised event recorders. The advantages of postal and telephone surveys will come to be better appreciated, and improved techniques will be adopted in both. The use of increasingly sophisticated and cos: effective electronics equipment will at first extend and improve existing techniques of data capture, but by the end of this decade electronic developments will have brought about fundamental and permanent changes in the way data can be collected.Survey research data capture techniques are going to change dramatically in the next decade, but this change can be expected to come about as the result of any single development in facilities, fashion, or philosophy. In fact these techniques will come about gradually, as a result of the changing pattern of commercial incentives and disincentives that face the individual and corporate researcher. By far the biggest disincentive is going to be the increasing difficulty and cost of arranging traditional face-to-face interviews at the home of the respondent, plus a growing awareness of the technical disadvantages of this technique.

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Priestnall, G., R. E. Marston i D. G. Elliman. "Arrowhead recognition during automated data capture". Pattern Recognition Letters 17, nr 3 (marzec 1996): 277–86. http://dx.doi.org/10.1016/0167-8655(95)00117-4.

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Salehpour, M. R., G. T. Y. Chen i C. A. Pelizzari. "Data capture of ajcc staging information". International Journal of Radiation Oncology*Biology*Physics 24 (styczeń 1992): 308. http://dx.doi.org/10.1016/0360-3016(92)90439-o.

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Brandmeier, Markus, Matthias Brossog i Jörg Franke. "Semantic Meta Model for the Description of Resource and Energy Data in the Energy Data Management Cycle". Applied Mechanics and Materials 871 (październik 2017): 69–76. http://dx.doi.org/10.4028/www.scientific.net/amm.871.69.

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Energy efficiency is a critical competitive factor. Transparency of energy consumption is the key for increasing efficiency of production. For this purpose, existing energy data management systems collect data such as power, gas or water consumption on field level, save them in databases, and aggregate them in reports. However, the identification of saving potentials and the definition of efficiency measures is carried out by energy experts and thus is dependent on a person’s knowledge. The documentation of knowledge about saving potentials and measures does not take place and relations among data and knowledge of various domains are not captured. In this paper, we provide an approach that allows the holistic capture and description of data and knowledge relations. Through the use of an ontology-based meta model, consumption data can be augmented with information about time and place of capture, data type, intended purpose and permissions, as well as interfaces to other systems and relations to knowledge elements. The semantic model is to capture relevant requirements of all information demanders within the energy data management cycle. Therefore, the model is capable of detecting efficiency deficits and retrieving relevant energy efficiency measures within a knowledge base. Thus, energy consumption data can be efficiently used and knowledge about efficiency can be sustainably preserved.

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Francl, Karen E., W. Mark Ford, Dale W. Sparks i Virgil Brack. "Capture and Reproductive Trends in Summer Bat Communities in West Virginia: Assessing the Impact of White-Nose Syndrome". Journal of Fish and Wildlife Management 3, nr 1 (1.06.2012): 33–42. http://dx.doi.org/10.3996/062011-jfwm-039.

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Abstract Although it has been widely documented that populations of cave-roosting bats rapidly decline following the arrival of white-nose syndrome (WNS), longer term reproductive effects are less well-known and essentially unexplored at the community scale. In West Virginia, WNS was first detected in the eastern portion of the state in 2009 and winter mortality was documented in 2009 and 2010. However, quantitative impacts on summer bat communities remained unknown. We compared “historical” (pre-WNS) capture records and reproductive rates from 11,734 bats captured during summer (15 May to 15 August) of 1997–2008 and 1,304 captures during 2010. We predicted that capture rates (number of individuals captured/net-night) would decrease in 2010. We also expected the energetic strain of WNS would cause delayed or reduced reproduction, as denoted by a greater proportion of pregnant or lactating females later in the summer and a lower relative proportion of juvenile captures in the mid–late summer. We found a dramatic decline in capture rates of little brown Myotis lucifugus, northern long-eared M. septentrionalis, small-footed M. leibii, Indiana M. sodalis, tri-colored Perimyotis subflavus, and hoary Lasiurus cinereus bats after detection of WNS in 2009. For these six species, 2010 capture rates were 10–37% of pre-WNS rates. Conversely, capture rates of big brown bats Eptesicus fuscus increased by 17% in 2010, whereas capture rates of eastern red bats Lasiurus borealis did not change. Together, big brown and eastern red bats were 58% of all 2010 captures but only 11% of pre-WNS captures. Reproductive data from 12,314 bats showed shifts in pregnancy and lactation dates, and an overall narrowing in the windows of time of each reproductive event, for northern-long-eared and little brown bats. Additionally, the proportion of juvenile captures declined in 2010 for these species. In contrast, lactation and pregnancy rates of big brown and eastern red bats, and the proportion of juveniles, were similar to historical patterns. Our results further elucidate the significance of short-term effects and provide a basis to examine long-term consequences of WNS.

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Green, N. S., C. E. Early, L. K. Beard i K. T. Wilkins. "Multiple captures of fulvous harvest mice (Reithrodontomys fulvescens) and northern pygmy mice (Baiomys taylori): evidence for short-term co-traveling". Canadian Journal of Zoology 90, nr 3 (marzec 2012): 313–19. http://dx.doi.org/10.1139/z11-137.

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Multiple captures of small mammals (finding >1 animal in a single trap) are often used to infer pair-bonding activity in arvicoline and cricetine rodents. We analyzed data from a 2-year trapping study to determine whether fulvous harvest mice ( Reithrodontomys fulvescens J.A. Allen, 1894) and (or) northern pygmy mice (Baiomys taylori (Thomas, 1887)) travel in mixed-sex mated pairs. A significant majority of multiple capture events (MCEs) in R. fulvescens were mixed-sex, whereas sex composition of pairs in B. taylori did not differ from random. Multiple capture probability was significantly positively related to abundance and unrelated to sex ratio in both species. Multiple captures of B. taylori were more common in winter, suggesting that individuals may associate to huddle for warmth. Masses of singly captured and multiply captured individuals were not significantly different in either species, contraindicating trap bias. Only one co-captured mixed-sex pair was recaptured as a pair (in R. fulvescens) and several animals of both sexes in both species were co-captured with multiple individuals. We concluded that R. fulvescens co-travels with mates for variable lengths of time, but we found no evidence that multiple captures of B. taylori are related to reproductive behavior.

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Pardee, Roy E., Don Bachman, Mark C. Hornbrook, Catherine R. Cleveland, Priyam Mathur, Dan Ng, Susan M. Aumer i in. "The Learning Healthcare (Data) System: Virtual Data Warehouse Data Capture Revisited". Journal of Patient-Centered Research and Reviews 3, nr 3 (15.08.2016): 226–27. http://dx.doi.org/10.17294/2330-0698.1402.

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Fang, Bin, Fuchun Sun, Huaping Liu i Di Guo. "A novel data glove using inertial and magnetic sensors for motion capture and robotic arm-hand teleoperation". Industrial Robot: An International Journal 44, nr 2 (20.03.2017): 155–65. http://dx.doi.org/10.1108/ir-07-2016-0179.

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Purpose The purpose of this paper is to present a novel data glove which can capture the motion of the arm and hand by inertial and magnetic sensors. The proposed data glove is used to provide the information of the gestures and teleoperate the robotic arm-hand. Design/methodology/approach The data glove comprises 18 low-cost inertial and magnetic measurement units (IMMUs) which not only make up the drawbacks of traditional data glove that only captures the incomplete gesture information but also provide a novel scheme of the robotic arm-hand teleoperation. The IMMUs are compact and small enough to wear on the upper arm, forearm, palm and fingers. The calibration method is proposed to improve the accuracy of measurements of units, and the orientations of each IMMU are estimated by a two-step optimal filter. The kinematic models of the arm, hand and fingers are integrated into the entire system to capture the motion gesture. A positon algorithm is also deduced to compute the positions of fingertips. With the proposed data glove, the robotic arm-hand can be teleoperated by the human arm, palm and fingers, thus establishing a novel robotic arm-hand teleoperation scheme. Findings Experimental results show that the proposed data glove can accurately and fully capture the fine gesture. Using the proposed data glove as the multiple input device has also proved to be a suitable teleoperating robotic arm-hand system. Originality/value Integrated with 18 low-cost and miniature IMMUs, the proposed data glove can give more information of the gesture than existing devices. Meanwhile, the proposed algorithms for motion capture determine the superior results. Furthermore, the accurately captured gestures can efficiently facilitate a novel teleoperation scheme to teleoperate the robotic arm-hand.

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Coyle, Diane. "Socializing Data". Daedalus 151, nr 2 (2022): 348–59. http://dx.doi.org/10.1162/daed_a_01921.

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Abstract Will the proliferation of data enable AI to deliver progress? An ever-growing swath of life is available as digitally captured and stored data records. Effective government, business management, and even personal life are increasingly suggested to be a matter of using AI to interpret and act on the data. This optimism should be tempered with caution. Data cannot capture much of the richness of life, and while AI has great potential for beneficial uses, its delivery of progress in any human sense will depend on not using all the data that can be collected. Moreover, the more digital technology rewires society, creating opportunities for the use of big data and AI, the greater the need for trust and human deliberation.

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Coyle, Diane. "Socializing Data". Daedalus 151, nr 2 (2022): 348–59. http://dx.doi.org/10.1162/daed_a_01921.

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Abstract Will the proliferation of data enable AI to deliver progress? An ever-growing swath of life is available as digitally captured and stored data records. Effective government, business management, and even personal life are increasingly suggested to be a matter of using AI to interpret and act on the data. This optimism should be tempered with caution. Data cannot capture much of the richness of life, and while AI has great potential for beneficial uses, its delivery of progress in any human sense will depend on not using all the data that can be collected. Moreover, the more digital technology rewires society, creating opportunities for the use of big data and AI, the greater the need for trust and human deliberation.

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Chung, Hyun-Sook, i Yilbyung Lee. "MCML: motion capture markup language for integration of heterogeneous motion capture data". Computer Standards & Interfaces 26, nr 2 (marzec 2004): 113–30. http://dx.doi.org/10.1016/s0920-5489(03)00071-0.

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Michelli, Pamela, Sandra Martinez, Jeana Swain, Sherrina Richards i Brooke Bozoian. "586 Show Me the Wound Closure! Burn Registry Data Compilation Project". Journal of Burn Care & Research 45, Supplement_1 (17.04.2024): 173. http://dx.doi.org/10.1093/jbcr/irae036.220.

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Abstract Introduction The ABA requires that a verified burn center report wound closure percentage on discharge for patients with burns >10% TBSA. Multiple data elements are entered by the burn registry staff into the registry. One data point, wound closure percentage (WCP) was not being captured consistently in the registry, because the data point wasn’t being reported. The initial rates of wound closure capture for 2021 and 2022 were 7% and 43% respectively and the ABA BCQP platform requires 100% capture of this data element. The purpose of this project is to develop a reliable process for the burn registrars to capture this data element. Methods We performed a retrospective review for this quality improvement project using data collected from our burn registry. Inclusion criteria included: burn patients 18 years or older who were admitted to a single burn center that had a TBSA ≥ 10% from January 1, 2021 – August 31, 2023. Data collected was presented in our multidisciplinary Burn Quality Meeting to optimize ways to capture this data point. Suggested implementations included: Discharge summary documentation in the Electronic Medical Record (EMR), reporting WCP at weekly burn multidisciplinary rounds (MDR). Education was developed and disseminated to physicians and registry staff. Results 815 burn admissions from January 1,2021 to August 31,2023 were reviewed, 171 patients were admitted with a burn of TBSA ≥ 10%. Discharge summary documentation of WCP was implemented October 2021 and a yearly review demonstrated a 39% capture rate. MDR reporting was implemented November 2022, a seven-month review demonstrated a 58% capture rate. Conclusions The initial implementation, discharge summary documentation resulted in very little improvement in capture of WCP. The MDR improved our capture rate further but did not meet the 100% data compliance goal. A daily discharge EMR care plan note was developed to help social work with planning for discharge for our patients to decrease the length of stay rate. It was decided to include WCP in this note to increase the capture rate. Moving forward, we found this to be an opportunity for improvement and will utilize the care plan note in combination with MDR reporting for WCP capture. The combination of MDR reporting and review of the daily discharge EMR care plan note is proving to be the most efficient way to capture WCP for our registry staff. The Burn Clinical Coordinator (BCC) is present for MDR reporting and can enter WCP in the registry as needed. Applicability of Research to Practice Utilization of documentation of WCP in the discharge summary, MDR reporting of WCP, and the review of the daily discharge EMR care plan note will allow for 100% compliance of data capture of WCP.

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Pilawski, Bryce D. "Data Milkshakes: The Rule of Capture and the Constitutionality of Data Mining". SMU Law Review 76, nr 4 (2024): 937. http://dx.doi.org/10.25172/smulr.76.4.7.

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This Comment examines, explains, and attempts to reconcile the federal judiciary’s implicit reasoning behind the lax protection of metadata in years past, specifically through the lens of the Rule of Capture. With the goal of explaining the historical hesitance courts have shown when protecting metadata, this Comment illustrates why this hesitance is actually motivated by reasoned restraint rather than a mere refusal to protect. In fact, through the lens of the Rule of Capture, metadata tracks the characteristics of resources that have traditionally counseled for the Rule’s application, specifically that the resource is: (1) emerging in value and (2) difficult to define in terms of location at any given moment or “fugacious” in nature. It is no coincidence that until recently, technological developers enjoyed a free-for-all in the sense that they could collect, store, and even market as much personal information from their users as their technology could absorb. However, this informational buffet will not last forever. As addressed in the latter portion of this Comment, courts have already begun—and as predicted here, will continue with increasing scrutiny—recognizing these unregulated captures as potential violations of individual privacy. In the near future, this Comment suggests that the Supreme Court will definitively establish and protect individual privacy rights for the information falling outside the definition of traditional data, especially because, given rapid advancements in handheld technology, metadata is often more intimate and revealing.

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Tuyishime, Elysee, Catherine Kayitesi, Gentille Musengimana, Samuel Malamba, Hailegiorgis Moges, Ida Kankindi, Horacio Ruisenor Escudero i in. "Population Size Estimation of Men Who Have Sex With Men in Rwanda: Three-Source Capture-Recapture Method". JMIR Public Health and Surveillance 9 (27.03.2023): e43114. http://dx.doi.org/10.2196/43114.

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Background Globally, men who have sex with men (MSM) continue to bear a disproportionately high burden of HIV infection. Rwanda experiences a mixed HIV epidemic, which is generalized in the adult population, with aspects of a concentrated epidemic among certain key populations at higher risk of HIV infection, including MSM. Limited data exist to estimate the population size of MSM at a national scale; hence, an important piece is missing in determining the denominators to use in estimates for policy makers, program managers, and planners to effectively monitor HIV epidemic control. Objective The aims of this study were to provide the first national population size estimate (PSE) and geographic distribution of MSM in Rwanda. Methods Between October and December 2021, a three-source capture-recapture method was used to estimate the MSM population size in Rwanda. Unique objects were distributed to MSM through their networks (first capture), who were then tagged according to MSM-friendly service provision (second capture), and a respondent-driven sampling survey was used as the third capture. Capture histories were aggregated in a 2k–1 contingency table, where k indicates the number of capture occasions and “1” and “0” indicate captured and not captured, respectively. Statistical analysis was performed in R (version 4.0.5) and the Bayesian nonparametric latent-class capture-recapture package was used to produce the final PSE with 95% credibility sets (CS). Results We sampled 2465, 1314, and 2211 MSM in capture one, two, and three, respectively. There were 721 recaptures between captures one and two, 415 recaptures between captures two and three, and 422 recaptures between captures one and three. There were 210 MSM captured in all three captures. The total estimated population size of MSM above 18 years old in Rwanda was 18,100 (95% CS 11,300-29,700), corresponding to 0.70% (95% CI 0.4%-1.1%) of total adult males. Most MSM reside in the city of Kigali (7842, 95% CS 4587-13,153), followed by the Western province (2469, 95% CS 1994-3518), Northern province (2375, 95% CS 842-4239), Eastern province (2287, 95% CS 1927-3014), and Southern province (2109, 95% CS 1681-3418). Conclusions Our study provides, for the first time, a PSE of MSM aged 18 years or older in Rwanda. MSM are concentrated in the city of Kigali and are almost evenly distributed across the other 4 provinces. The national proportion estimate bounds of MSM out of the total adult males includes the World Health Organization’s minimum recommended proportion (at least 1.0%) based on 2012 census population projections for 2021. These results will inform denominators to be used for estimating service coverage and fill existing information gaps to enable policy makers and planners to monitor the HIV epidemic among MSM nationally. There is an opportunity for conducting small-area MSM PSEs for subnational-level HIV treatment and prevention interventions.

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Bryant, C. W., i P. S. Pagoria. "The fate of metals in forest industry wastewater treatment systems". Water Science and Technology 50, nr 3 (1.08.2004): 21–28. http://dx.doi.org/10.2166/wst.2004.0155.

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The capture/removal of a range of metals was estimated for a number of pulp and paper wastewater treatment systems. Both long-term wastewater data and accumulated sludge data were examined. Only copper and lead were effectively captured (greater than 50%) by all sites and estimate methods. Zinc capture exceeded 50% in all but one case. Qualitatively, iron, aluminium, cadmium, and cobalt were usually captured to a significant extent. The sludge inventory-based approach and the wastewater system inlet-outlet approach gave reasonably similar capture estimates.

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Deacon, Francois, Willem Daffue, Pierre Nel i Ruan Higgs. "Effective Field Immobilisation and Capture of Giraffe (Giraffa camelopardalis)". Animals 12, nr 10 (18.05.2022): 1290. http://dx.doi.org/10.3390/ani12101290.

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One of the highest occurrences of mortalities among giraffes (Giraffa camelopardalis) takes place during immobilisations, captures and translocations. Common mistakes, human error, unforeseen risks, the awkward anatomy and the sheer size of the animal are leading factors for giraffes’ mortalities during these operations. Many risks can be circumvented but some risks are unpreventable, often due to terrain characteristics (rivers, deep ditches, holes and rocky terrain). From 2011 to 2021, seventy-five giraffes were successfully immobilised and captured to collect biological and physiological data from eight different study areas across South Africa. A 0% mortality and injury rate was achieved and, therefore, the techniques described in this paper are testimony to the advances and improvements of capture techniques and drugs. Biological information and capture experiences were noted for 75 immobilised giraffes, of which, knockdown time data were recorded for 43 individuals. Effective and safe immobilisation requires a competent team, proper planning, skill and knowledge. In this manuscript, we address procedures, techniques, ethical compliance, welfare and safety of the study animals. General experiences and lessons learned are also shared and should benefit future captures and immobilisations by limiting the risks involved. The sharing of experiences and information could influence and improve critical assessments of different capture techniques and can likely contribute to the success rate of immobilisation and translocation success for giraffes in the future.

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