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Journal articles on the topic 'ReCNN'

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Published: 5 June 2025
Last updated: 15 July 2025

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1

Camalan, Seda, Kangning Cui, Victor Paul Pauca, et al. "Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery." Remote Sensing 14, no. 7 (2022): 1746. http://dx.doi.org/10.3390/rs14071746.

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Monitoring changes within the land surface and open water bodies is critical for natural resource management, conservation, and environmental policy. While the use of satellite imagery for these purposes is common, fine-scale change detection can be a technical challenge. Difficulties arise from variable atmospheric conditions and the problem of assigning pixels to individual objects. We examined the degree to which two machine learning approaches can better characterize change detection in the context of a current conservation challenge, artisanal small-scale gold mining (ASGM). We obtained Sentinel-2 imagery and consulted with domain experts to construct an open-source labeled land-cover change dataset. The focus of this dataset is the Madre de Dios (MDD) region in Peru, a hotspot of ASGM activity. We also generated datasets of active ASGM areas in other countries (Venezuela, Indonesia, and Myanmar) for out-of-sample testing. With these labeled data, we utilized a supervised (E-ReCNN) and semi-supervised (SVM-STV) approach to study binary and multi-class change within mining ponds in the MDD region. Additionally, we tested how the inclusion of multiple channels, histogram matching, and La*b* color metrics improved the performance of the models and reduced the influence of atmospheric effects. Empirical results show that the supervised E-ReCNN method on 6-Channel histogram-matched images generated the most accurate detection of change not only in the focal region (Kappa: 0.92 (± 0.04), Jaccard: 0.88 (± 0.07), F1: 0.88 (± 0.05)) but also in the out-of-sample prediction regions (Kappa: 0.90 (± 0.03), Jaccard: 0.84 (± 0.04), and F1: 0.77 (± 0.04)). While semi-supervised methods did not perform as accurately on 6- or 10-channel imagery, histogram matching and the inclusion of La*b* metrics generated accurate results with low memory and resource costs. These results show that E-ReCNN is capable of accurately detecting specific and object-oriented environmental changes related to ASGM. E-ReCNN is scalable to areas outside the focal area and is a method of change detection that can be extended to other forms of land-use modification.
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Shu, Han, Huan Zheng, and Yali Qin. "RECNN: Restoration and extraction of incomplete brillouin gain spectrum based on CNN framework combined with SVAE and attention mechanism." Optics Communications 576 (March 2025): 131351. http://dx.doi.org/10.1016/j.optcom.2024.131351.

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Fryer, Daniel, Kuei Sun, Rahat Mahmood, et al. "Recon." ACM Transactions on Storage 8, no. 4 (2012): 1–29. http://dx.doi.org/10.1145/2385603.2385608.

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May, Larry A. "Pinacate Recon." Journal of the Southwest 49, no. 2 (2007): 259–303. http://dx.doi.org/10.1353/jsw.2007.0007.

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Weaver, Meaghann. "Recon Man." JAMA 310, no. 11 (2013): 1129. http://dx.doi.org/10.1001/jama.2013.276137.

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Anshuman, D. A., T. Bhuvana Teja, S. sameer Kumar, and Rohit Dasgupta. "Underwater recon device." IOP Conference Series: Materials Science and Engineering 402 (September 20, 2018): 012041. http://dx.doi.org/10.1088/1757-899x/402/1/012041.

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Bratcher, Perry. "Music OCLC Recon." Cataloging & Classification Quarterly 8, no. 2 (1988): 41–48. http://dx.doi.org/10.1300/j104v08n02_05.

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8

Hsueh, Daphne. "Recon Road Maps." Cataloging & Classification Quarterly 14, no. 3-4 (1992): 5–22. http://dx.doi.org/10.1300/j104v14n03_02.

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Lentz, Edward Adrian. "Editing Recon Records." Cataloging & Classification Quarterly 14, no. 3-4 (1992): 129–44. http://dx.doi.org/10.1300/j104v14n03_08.

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Bhosale, Deepranjan. "RECON DNS IP." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31279.

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Information gathering in cybersecurity is a foundational practice that helps organizations assess and mitigate risks, detect and respond to threats, and establish a robust security posture. Securing an organization's digital assets and guaranteeing the confidentiality, integrity, and accessibility of its data and systems is a crucial measure. Ethical hackers and security professionals use information gathering as the first step in penetration testing. By collecting information about a targeted system or network, individuals can replicate real-world attack scenarios and detect vulnerabilities proactively, preventing exploitation by malicious actors. Keywords— Cyber Security, Hacking, Information Gathering, Reconnaissance.
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11

Alawieh, Ali, Alyssa K. Pierce, Jan Vargas, et al. "The golden 35 min of stroke intervention with ADAPT: effect of thrombectomy procedural time in acute ischemic stroke on outcome." Journal of NeuroInterventional Surgery 10, no. 3 (2017): 213–20. http://dx.doi.org/10.1136/neurintsurg-2017-013040.

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IntroductionIn acute ischemic stroke (AIS), extending mechanical thrombectomy procedural times beyond 60 min has previously been associated with an increased complication rate and poorer outcomes.ObjectiveAfter improvements in thrombectomy methods, to reassess whether this relationship holds true with a more contemporary thrombectomy approach: a direct aspiration first pass technique (ADAPT).MethodsWe retrospectively studied a database of patients with AIS who underwent ADAPT thrombectomy for large vessel occlusions. Patients were dichotomized into two groups: ‘early recan’, in which recanalization (recan) was achieved in ≤35 min, and ‘late recan’, in which procedures extended beyond 35 min.Results197 patients (47.7% women, mean age 66.3 years) were identified. We determined that after 35 min, a poor outcome was more likely than a good (modified Rankin Scale (mRS) score 0–2) outcome. The baseline National Institutes of Health Stroke Scale (NIHSS) score was similar between ‘early recan’ (n=122) (14.7±6.9) and ‘late recan’ patients (n=75) (15.9±7.2). Among ‘early recan’ patients, recanalization was achieved in 17.8±8.8 min compared with 70±39.8 min in ‘late recan’ patients. The likelihood of achieving a good outcome was higher in the ‘early recan’ group (65.2%) than in the ‘late recan’ group (38.2%; p<0.001). Patients in the ‘late recan’ group had a higher likelihood of postprocedural hemorrhage, specifically parenchymal hematoma type 2, than those in the ‘early recan’ group. Logistic regression analysis showed that baseline NIHSS, recanalization time, and atrial fibrillation had a significant impact on 90-day outcomes.ConclusionsOur findings suggest that extending ADAPT thrombectomy procedure times beyond 35 min increases the likelihood of complications such as intracerebral hemorrhage while reducing the likelihood of a good outcome.
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Kim, Cheolsun, Dongju Park, and Heung-No Lee. "Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network." Sensors 20, no. 3 (2020): 594. http://dx.doi.org/10.3390/s20030594.

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Compressive sensing (CS) spectroscopy is well known for developing a compact spectrometer which consists of two parts: compressively measuring an input spectrum and recovering the spectrum using reconstruction techniques. Our goal here is to propose a novel residual convolutional neural network (ResCNN) for reconstructing the spectrum from the compressed measurements. The proposed ResCNN comprises learnable layers and a residual connection between the input and the output of these learnable layers. The ResCNN is trained using both synthetic and measured spectral datasets. The results demonstrate that ResCNN shows better spectral recovery performance in terms of average root mean squared errors (RMSEs) and peak signal to noise ratios (PSNRs) than existing approaches such as the sparse recovery methods and the spectral recovery using CNN. Unlike sparse recovery methods, ResCNN does not require a priori knowledge of a sparsifying basis nor prior information on the spectral features of the dataset. Moreover, ResCNN produces stable reconstructions under noisy conditions. Finally, ResCNN is converged faster than CNN.
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Mousavi, Seyed Hamid Reza, and Seyed Mojtaba Hosseini-Nasab. "Residual Convolutional Neural Network for Lithology Classification: A Case Study of an Iranian Gas Field." International Journal of Energy Research 2024 (April 17, 2024): 1–25. http://dx.doi.org/10.1155/2024/5576859.

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Gas reservoir development and the estimation of rock properties heavily rely on lithology classification, which can be difficult, time-consuming, and prone to errors. In this study, a novel deep learning-based approach has been developed for the rapid, accurate, and efficient prediction of lithology in a gas field from conventional well-log data. The well-logs, referred to as numerical well-logs (NWLs), are transformed into two-dimensional images through two proposed approaches: shallow images (SIs) and deep images (DIs). In these images, the pixels effectively represent the relationships between different logs. For this purpose, we developed residual convolutional neural networks (ResCNN) named SIs-ResCNN 2D and DIs-ResCNN 2D. The feed data for DIs-ResCNN 2D are images created and referred to as DIs, which are initially formed from a vector in which the order of logs is somehow repeated, ensuring that each pairwise combination occurs only once. This resulted in the incorporation of the connection between the logs within the pixels of the generated images, alongside the integration of unique binary combinations of the logs. We compared the proposed models, including DIs-ResCNN 2D, DIs-ResCNN 2D, and NWLs-ResCNN 1D with baseline methods such as random forest (RF), K-nearest neighbor (KNN), and support vector machine (SVM). Based on the evaluation metrics, DIs-ResCNN 2D outperformed the other proposed and baseline methods on the test dataset. A balanced DIs-ResCNN 2D model achieved 93% accuracy and F1-score of 80% on a test well, highlighting the importance of data balancing during CNN model training.
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Corsten, S. "H. RENN, Geschichte der Eifel. – H. RENN (Hrsg.), Baasem." Annalen des Historischen Vereins für den Niederrhein 194, jg (1991): 245–46. http://dx.doi.org/10.7788/annalen-1991-jg38.

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15

Kamal, Nur Farhana Binti Md. "AIR recon DL MRI." Journal of Medical Imaging and Radiation Sciences 54, no. 2 (2023): S2. http://dx.doi.org/10.1016/j.jmir.2023.05.010.

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16

Priyanka, K., Krishna P. Yuvan, Kumar JS Ajay, J. Dharun, N. Rooban, and N. Vinayagamoorthy. "Web Extension for Recon." Journal of Research and Review: Hacking Techniques and Information Security Systems 1, no. 2 (2025): 11–16. https://doi.org/10.5281/zenodo.15589787.

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<em>This paper presents a browser extension designed to automate fundamental reconnaissance activities directly within the web browser environment. The extension dynamically captures the URL of the currently active webpage and systematically executes a suite of reconnaissance operations, including subdomain enumeration, HTTP header analysis, DNS resolution, port scanning . By integrating these capabilities natively into the browser, the tool enables security researchers and ethical hackers to rapidly access critical reconnaissance insights without reliance on external utilities or complex configurations. Emphasizing usability, efficiency, and automation, this solution transforms routine webpage visits into immediate opportunities for comprehensive vulnerability assessment, significantly simplifying the initial phases of security analysis.</em>
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17

Faisal and Bambang Suroso. "Mnemonic Device ‘FRIED’ for Teaching Writing Recon Paragraphs for English Teachers of SMP/MTs Muhammadiyah in Banyumas." Jurnal Pengabdian Masyarakat Bestari 1, no. 9 (2022): 1053–62. http://dx.doi.org/10.55927/jpmb.v1i9.2101.

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This community service activity aims to introduce and practice teaching recon paragraphs through the mnemonic device 'FRIED' to English teachers at SMP/MTs in Banyumas Regency. The training was divided into three sessions: a review of recon paragraphs, an explanation of the 'FRIED' mnemonic device to teach writing recon paragraphs, and practice teaching writing using this device. The participants considered that this device was easy to practice and could help them teach and guide their students to write cohesive and coherent recon paragraphs. Some participants thought that this device could be used to develop teaching and help students improve speaking competence. They stated that the mnemonic device 'FRIED' offers a systematic way to structure and organize content appropriately and in accordance with the organizational structure of recon paragraphs.
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Ogawa, Ryo, Tomoyuki Kido, Masashi Nakamura, et al. "Reconstruction of cardiovascular black-blood T2-weighted image by deep learning algorithm: A comparison with intensity filter." Acta Radiologica Open 10, no. 9 (2021): 205846012110447. http://dx.doi.org/10.1177/20584601211044779.

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Background Deep learning–based methods have been used to denoise magnetic resonance imaging. Purpose The purpose of this study was to evaluate a deep learning reconstruction (DL Recon) in cardiovascular black-blood T2-weighted images and compare with intensity filtered images. Material and Methods Forty-five DL Recon images were compared with intensity filtered and the original images. For quantitative image analysis, the signal to noise ratio (SNR) of the septum, contrast ratio (CR) of the septum to lumen, and sharpness of the endocardial border were calculated in each image. For qualitative image quality assessment, a 4-point subjective scale was assigned to each image (1 = poor, 2 = fair, 3 = good, 4 = excellent). Results The SNR and CR were significantly higher in the DL Recon images than in the intensity filtered and the original images ( p &lt; .05 in each). Sharpness of the endocardial border was significantly higher in the DL Recon and intensity filtered images than in the original images ( p &lt; .05 in each). The image quality of the DL Recon images was significantly better than that of intensity filtered and original images ( p &lt; .001 in each). Conclusions DL Recon reduced image noise while improving image contrast and sharpness in the cardiovascular black-blood T2-weight sequence.
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Nasution, Ayu Wandani, Jusrin Efendi Pohan, and Esra Perangin-angin. "Strategi Writing in the Here and Now untuk Meningkatkan Kemampuan Siswa Menulis Teks Rekon di SMA Pangeran Antasari, Medan." Jurnal Simki Pedagogia 7, no. 2 (2024): 629–38. http://dx.doi.org/10.29407/jsp.v7i2.808.

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This research was motivated by the low ability of students in writing recon texts. This is because learning still dominates theory over practice, so that students are only able to understand the theory of recon texts, not able to write recon texts. One learning strategy that is believed to be able to improve student learning outcomes is the writing in the here and now strategy for students in writing class X recon texts at Pangeran Antasari High School. This research aims to describe the process and results of implementing the writing in the here and now strategy in improving students' skills in writing recon texts. This type of research is qualitative descriptive research that describes events or phenomena systematically. The data for this research is in the form of 24 student essays. The data analysis technique used is a test technique, namely students are asked to write a recap text. This research shows that the writing in the here and now strategy is very effective in improving students' ability to write recon texts for class X SMA Pangeran Antasari Medan as evidenced by the students' writing. The writing in the here and now strategy also makes the learning atmosphere more active and enjoyable for students by providing collaboration between students.
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20

Wang, Ge, and Robert J. Maier. "Critical Role of RecN in Recombinational DNA Repair and Survival of Helicobacter pylori." Infection and Immunity 76, no. 1 (2007): 153–60. http://dx.doi.org/10.1128/iai.00791-07.

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ABSTRACT Homologous recombination is one of the key mechanisms responsible for the repair of DNA double-strand breaks. Recombinational repair normally requires a battery of proteins, each with specific DNA recognition, strand transfer, resolution, or other functions. Helicobacter pylori lacks many of the proteins normally involved in the early stage (presynapsis) of recombinational repair, but it has a RecN homologue with an unclear function. A recN mutant strain of H. pylori was shown to be much more sensitive than its parent to mitomycin C, an agent predominantly causing DNA double-strand breaks. The recN strain was unable to survive exposure to either air or acid as well as the parent strain, and air exposure resulted in no viable recN cells recovered after 8 h. In oxidative stress conditions (i.e., air exposure), a recN strain accumulated significantly more damaged (multiply fragmented) DNA than the parent strain. To assess the DNA recombination abilities of strains, their transformation abilities were compared by separately monitoring transformation using H. pylori DNA fragments containing either a site-specific mutation (conferring rifampin resistance) or a large insertion (kanamycin resistance cassette). The transformation frequencies using the two types of DNA donor were 10- and 50-fold lower, respectively, for the recN strain than for the wild type, indicating that RecN plays an important role in facilitating DNA recombination. In two separate mouse colonization experiments, the recN strain colonized most of the stomachs, but the average number of recovered cells was 10-fold less for the mutant than for the parent strain (a statistically significant difference). Complementation of the recN strain by chromosomal insertion of a functional recN gene restored both the recombination frequency and mouse colonization ability to the wild-type levels. Thus, H. pylori RecN, as a component of DNA recombinational repair, plays a significant role in H. pylori survival in vivo.
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Van Avery, Annalisa R. "Recat vs. Recon of Serials." Cataloging & Classification Quarterly 10, no. 4 (1990): 51–68. http://dx.doi.org/10.1300/j104v10n04_04.

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LIGTENBERG, WILLEM P. A., DRAGAN BOŠNAČKI, and PETER A. J. HILBERS. "RECONN: A CYTOSCAPE PLUG-IN FOR EXPLORING AND VISUALIZING REACTOME." Journal of Bioinformatics and Computational Biology 11, no. 04 (2013): 1350004. http://dx.doi.org/10.1142/s0219720013500042.

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Interface and visualization tools usually provide static representations of biological pathways, which can be a severe limitation: fixed pathway boundaries are used without consensus about the elements that should be included in a particular pathway; one cannot generate new pathways or produce selective views of existing pathways. Also, the tools are not capable of integrating multiple levels that conceptually can be distinguished in biological systems. We present ReConn, an interface and visualization tool for a flexible analysis of large data at multiple biological levels. ReConn (Reactome Connector) is an open source extension to Cytoscape which allows user friendly interaction with the Reactome database. ReConn can use both predefined Reactome pathways as well as generate new pathways. A pathway can be derived by starting from any given metabolite and existing pathways can be extended by adding related reactions. The tool can also retrieve alternative routes between elements of a biological network. Such an option is potentially applicable in the design and analysis of knockout experiments. ReConn displays information about multiple levels of the system in one view. With these dynamic features ReConn addresses all of the above mentioned limitations of the interface tools.
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Frara, Nagat, Kais Jawawdeh, Dania Giaddui, et al. "Enhanced BDNF and ROS in Mucosa of Lower Motor Neuron Lesioned Dog Bladder Following Somatic Motor Nerve Transfer." Cells 14, no. 6 (2025): 406. https://doi.org/10.3390/cells14060406.

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Neurotrophic factors and reactive oxygen species (ROS) modulate neuronal plasticity. In a model of a lower motor neuron lesioned bladder, somatic nerve transfer was used as a reinnervation strategy. Levels of neurotrophins, ROS, and TNF-α in bladder mucosa and muscle layers collected from three groups of adult female dogs: (1) Decentralized, via bilateral transection of coccygeal and sacral spinal roots, lumbar 7 dorsal roots, and hypogastric nerves, then 6–21 mo recovery; (2) reinnervated (ObNT-Reinn), after similar decentralization for 12 mo, then bilateral obturator-to-vesical nerve transfer and 8–12 mo recovery; and (3) Controls. In mucosa, BDNF and ROS levels were highest in ObNT-Reinn bladders, GDNF and TNF-α levels were restored to Control levels in ObNT-Reinn bladders (lowest in Decentralized). NT-3 and ARTN were lower in ObNT-Reinn and Decentralized bladders versus Controls. In muscle, ROS was lower in ObNT-Reinn muscle versus Controls. BDNF mucosa levels correlated with bladder axonal density and detrusor layer thickness; and GDNF mucosal correlated with bladder contraction after vesical or transferred obturator nerve electrical stimulation, as did BDNF and GDNF muscle levels. The increased BDNF and GDNF in bladders that underwent somatic nerve transfer with subsequent recovery suggest that BDNF and GDNF may help promote the reestablishment of bladder innervation.
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Maldonado, David R., Cammille C. Go, Joseph R. Laseter, Ajay C. Lall, Michael R. Kopscik, and Benjamin G. Domb. "Primary labral reconstruction in patients with femoroacetabular impingement, irreparable labral tears and severe acetabular chondral defects decreases the risk of conversion to total hip arthroplasty: a pair-matched study." Journal of Hip Preservation Surgery 6, no. 3 (2019): 214–26. http://dx.doi.org/10.1093/jhps/hnz028.

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Abstract In the presence of severe acetabular cartilage defects, the benefits of labral reconstruction (RECON) versus labral resection (RESEC) have not been determined. Prospectively collected data between October 2008 and December 2016 were retrospectively reviewed. Inclusion criteria were hip arthroscopy, acetabular Outerbridge grade III/IV, irreparable labral tears that underwent RECON or RESEC, and minimum 2-year postoperative measures for the modified Harris Hip Score, Non-Arthritic Hip Score, Hip Outcome Score–Sports Specific Subscale, International Hip Outcome Tool, Patient Satisfaction and Visual Analogue Scale for pain. Exclusion criteria included Tönnis grade &amp;gt;1, previous hip conditions or previous ipsilateral hip surgeries. A 1:1 matched-pair analysis was performed based on age ±5 years, sex, body mass index ±5 kg/m2, Tönnis grade, acetabular microfracture, femoral Outerbridge grade (0 or I compared with II, III or IV). Relative risk (RR) and conversion rate to total hip arthroplasty (THA) were calculated. A total of 38 RECON hips were successfully matched. Both groups demonstrated significant improvements in patient-reported outcomes (PROs). THA conversion was 5.3% and 21.1% for the RECON and RESEC groups, respectively (P = 0.04). RECON was four times less likely to require THA conversion than the RESEC group (RR=4.0; 95% CI 0.91–17.63). In the setting of primary arthroscopic management of femoroacetabular impingement, irreparable labral tears and acetabular chondral lesions of Outerbridge III/IV, patients that underwent RECON and RESEC experienced significant improvement in PROs at minimum 2-year follow-up, and these functional scores were comparable when groups were matched. However, RR and rate to THA conversion were significantly higher in the RESEC group.
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Ziegler, Parker, Justin Lubin, and Sarah E. Chasins. "Fast Direct Manipulation Programming with Patch-Reconciliation Correspondence." Proceedings of the ACM on Programming Languages 9, PLDI (2025): 699–724. https://doi.org/10.1145/3729278.

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Direct manipulation programming gives users a way to write programs without directly writing code, by using the familiar GUI-style interactions they know from direct manipulation interfaces. To date, direct manipulation programming systems have relied on two core components: (1) a patch component, which modifies the program based on a GUI interaction, and (2) a forward evaluator , which executes the modified program to produce an updated program output. This architecture has worked for developing short-running programs—i.e., programs that reliably execute in &lt;1 second—generating outputs such as SVG and HTML documents. However, direct manipulation programming has not yet been applied to long-running programs (e.g., data visualization, mapping), perhaps because executing such programs in response to every GUI interaction would mean crossing outside of interactive speeds. We propose extending direct manipulation programming to long-running programs by pairing a standard patch component ( patch ) with a corresponding reconciliation component ( recon ). recon directly updates the program output in response to a GUI interaction, obviating the need for forward evaluation. We introduce corresponding patch and recon procedures for the domain of geospatial data visualization and prove them sound—that is, we show that the output produced by recon is identical to the output produced by forward-evaluating a patch -modified program. recon can operate both incrementally and in parallel with patch . Our implementation of our patch - recon instantiation achieves a 2.92x median reduction in interface latency compared to forward evaluation on a suite of real-world geospatial visualization tasks. Looking forward, our results suggest that patch-reconciliation correspondence offers a promising pathway for extending direct manipulation programming to domains involving large-scale computation.
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Klimova, Anastasiia N., and Steven J. Sandler. "An Epistasis Analysis of recA and recN in Escherichia coli K-12." Genetics 216, no. 2 (2020): 381–93. http://dx.doi.org/10.1534/genetics.120.303476.

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RecA is essential for double-strand-break repair (DSBR) and the SOS response in Escherichia coli K-12. RecN is an SOS protein and a member of the Structural Maintenance of Chromosomes family of proteins thought to play a role in sister chromatid cohesion/interactions during DSBR. Previous studies have shown that a plasmid-encoded recA4190 (Q300R) mutant had a phenotype similar to ∆recN (mitomycin C sensitive and UV resistant). It was hypothesized that RecN and RecA physically interact, and that recA4190 specifically eliminated this interaction. To test this model, an epistasis analysis between recA4190 and ∆recN was performed in wild-type and recBC sbcBC cells. To do this, recA4190 was first transferred to the chromosome. As single mutants, recA4190 and ∆recN were Rec+ as measured by transductional recombination, but were 3-fold and 10-fold decreased in their ability to do I-SceI-induced DSBR, respectively. In both cases, the double mutant had an additive phenotype relative to either single mutant. In the recBC sbcBC background, recA4190 and ∆recN cells were very UVS (sensitive), Rec−, had high basal levels of SOS expression and an altered distribution of RecA-GFP structures. In all cases, the double mutant had additive phenotypes. These data suggest that recA4190 (Q300R) and ∆recN remove functions in genetically distinct pathways important for DNA repair, and that RecA Q300 was not important for an interaction between RecN and RecA in vivo. recA4190 (Q300R) revealed modest phenotypes in a wild-type background and dramatic phenotypes in a recBC sbcBC strain, reflecting greater stringency of RecA’s role in that background.
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Sabogal, Sebastian, Alan George, and Gary Crum. "Reconfigurable Framework for Resilient Semantic Segmentation for Space Applications." ACM Transactions on Reconfigurable Technology and Systems 14, no. 4 (2021): 1–32. http://dx.doi.org/10.1145/3472770.

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Deep learning (DL) presents new opportunities for enabling spacecraft autonomy, onboard analysis, and intelligent applications for space missions. However, DL applications are computationally intensive and often infeasible to deploy on radiation-hardened (rad-hard) processors, which traditionally harness a fraction of the computational capability of their commercial-off-the-shelf counterparts. Commercial FPGAs and system-on-chips present numerous architectural advantages and provide the computation capabilities to enable onboard DL applications; however, these devices are highly susceptible to radiation-induced single-event effects (SEEs) that can degrade the dependability of DL applications. In this article, we propose Reconfigurable ConvNet (RECON), a reconfigurable acceleration framework for dependable, high-performance semantic segmentation for space applications. In RECON, we propose both selective and adaptive approaches to enable efficient SEE mitigation. In our selective approach, control-flow parts are selectively protected by triple-modular redundancy to minimize SEE-induced hangs, and in our adaptive approach, partial reconfiguration is used to adapt the mitigation of dataflow parts in response to a dynamic radiation environment. Combined, both approaches enable RECON to maximize system performability subject to mission availability constraints. We perform fault injection and neutron irradiation to observe the susceptibility of RECON and use dependability modeling to evaluate RECON in various orbital case studies to demonstrate a 1.5–3.0× performability improvement in both performance and energy efficiency compared to static approaches.
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Zhong Wu. "Optimization of Seating Arrangement in Sports Competition Venues Based on Recurrent Graph Neural Network." Journal of Electrical Systems 20, no. 3s (2024): 2690–701. http://dx.doi.org/10.52783/jes.3166.

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Seating in sports venues is a type of seating where rows are much more frequent than in other types of auditorium seating. Traditional seating looks to maximize capacity over fan experience. The stadium experience can be enhanced by recommending appropriate seating by viewer’s preferences and past behavior. Group customers would want to sit together when they go to a sports arena, but sometimes there are not enough seats available together. This study's methodology for improving viewing experience by optimizing seating arrangement using game type, historical ticket sales and opponent team is offered in this study as a way to get around this drawback. The data are collected from Los Angeles Memorial Sports Arena seating dataset. Afterward, the data are fed to pre-processing. In pre-processing segment, the noise is removed and data is enhanced using Adaptive Robust Cubature Kalman Filter (ARCKF). The outcome from the pre-processing data is transferred to the Recurrent Graph Neural Network (RecGNN).The reserved seating, bowl seating and stadium seating are successfully classified by using RecGNN. RecGNN's weight parameter is optimized by the Lotus Effect Optimization Algorithm (LEA). On the Python working platform, the proposed RecGNN-LEA is implemented. The proposed strategy is analyzed using performance measures including recall, f1-score, accuracy, precision, and computation time. RecGNN's weight parameter is optimized by the Lotus Effect Optimization Algorithm (LEA). On the Python working platform, the proposed RecGNN-LEA is implemented. The proposed method is analyzed using performance measures including recall, f1-score, accuracy, precision, and computation time. The gained results of the proposed RecGNN-LEA method attains higher accuracy of 16.61%, 18.89%, and 17.92%, higher sensitivity of 16.37%, 12.23%, and 18.56% and higher precision of 14.81%, 16.79%, and 18.23%. The proposed SASCV-RecGNN-LEA method is compared with the existing methods such as SASCV-CNN, SASCV-LaRSA, and SASCV-TDNN models respectively.
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Usset, Timothy J., Cassandra Godzik, J. Irene Harris, et al. "Building Social Support and Moral Healing on Nursing Units: Design and Implementation of a Culture Change Intervention." Behavioral Sciences 14, no. 9 (2024): 796. http://dx.doi.org/10.3390/bs14090796.

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The healthcare industry continues to experience high rates of burnout, turnover, and staffing shortages that erode quality care. Interventions that are feasible, engaging, and impactful are needed to improve cultures of support and mitigate harm from exposure to morally injurious events. This quality improvement project encompassed the methodical building, implementation, and testing of RECONN (Reflection and Connection), an organizational intervention designed by an interdisciplinary team to mitigate the impact of moral injury and to increase social support among nurses. This quality improvement project was conducted in a medical intensive care unit (MICU) in a rural, academic medical center. We employed an Evidence-Based Quality Improvement (EBQI) approach to design and implement the RECONN intervention while assessing the feasibility, acceptability, and preliminary effectiveness via surveys (n = 17). RECONN was found acceptable and appropriate by 70% of nurses who responded to surveys. Preliminary effectiveness data showed small to moderate effect sizes for improving social support, moral injury, loneliness, and emotional recovery. Further evaluation is warranted to establish the effectiveness and generalizability of RECONN to other healthcare settings.
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Xu, Sheng, Yanjing Li, Teli Ma, et al. "Resilient Binary Neural Network." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (2023): 10620–28. http://dx.doi.org/10.1609/aaai.v37i9.26261.

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Binary neural networks (BNNs) have received ever-increasing popularity for their great capability of reducing storage burden as well as quickening inference time. However, there is a severe performance drop compared with {real-valued} networks, due to its intrinsic frequent weight oscillation during training. In this paper, we introduce a Resilient Binary Neural Network (ReBNN) to mitigate the frequent oscillation for better BNNs' training. We identify that the weight oscillation mainly stems from the non-parametric scaling factor. To address this issue, we propose to parameterize the scaling factor and introduce a weighted reconstruction loss to build an adaptive training objective. For the first time, we show that the weight oscillation is controlled by the balanced parameter attached to the reconstruction loss, which provides a theoretical foundation to parameterize it in back propagation. Based on this, we learn our ReBNN by calculating the balanced parameter based on its maximum magnitude, which can effectively mitigate the weight oscillation with a resilient training process. Extensive experiments are conducted upon various network models, such as ResNet and Faster-RCNN for computer vision, as well as BERT for natural language processing. The results demonstrate the overwhelming performance of our ReBNN over prior arts. For example, our ReBNN achieves 66.9% Top-1 accuracy with ResNet-18 backbone on the ImageNet dataset, surpassing existing state-of-the-arts by a significant margin. Our code is open-sourced at https://github.com/SteveTsui/ReBNN.
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Skaar, Eric P., Matthew P. Lazio, and H. Steven Seifert. "Roles of the recJ and recN Genes in Homologous Recombination and DNA Repair Pathways of Neisseria gonorrhoeae." Journal of Bacteriology 184, no. 4 (2002): 919–27. http://dx.doi.org/10.1128/jb.184.4.919-927.2002.

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ABSTRACT The paradigm of homologous recombination comes from Escherichia coli, where the genes involved have been segregated into pathways. In the human pathogen Neisseria gonorrhoeae (the gonococcus), the pathways of homologous recombination are being delineated. To investigate the roles of the gonococcal recN and recJ genes in the recombination-based processes of the gonococcus, these genes were inactivated in the N. gonorrhoeae strain FA1090. We report that both recN and recJ loss-of-function mutants show decreased DNA repair ability. In addition, the recJ mutant was decreased in pilus-dependent colony morphology variation frequency but not DNA transformation efficiency, while the recN mutant was decreased in DNA transformation efficiency but not pilus-dependent variation frequency. We were able to complement all of these deficiencies by supplying an ectopic functional copy of either recJ or recN at an irrelevant locus. These results describe the role of recJ and recN in the recombination-dependent processes of the gonococcus and further define the pathways of homologous recombination in this organism.
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32

Azemoto, Shogo, and Yun Shen. "186. Study for helical recon algorithm." Japanese Journal of Radiological Technology 49, no. 8 (1993): 1211. http://dx.doi.org/10.6009/jjrt.kj00003324774.

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33

Butt, Anila Sahar, Armin Haller, and Lexing Xie. "RecOn: Ontology recommendation for structureless queries." Applied Ontology 11, no. 4 (2017): 301–24. http://dx.doi.org/10.3233/ao-160173.

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34

Le Gear, Andrew, and Jim Buckley. "Reengineering towards components using "Reconn-exion"." ACM SIGSOFT Software Engineering Notes 30, no. 5 (2005): 370–73. http://dx.doi.org/10.1145/1095430.1081765.

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35

Biryukov, Alex, and Daniel Feher. "ReCon: Sybil-resistant consensus from reputation." Pervasive and Mobile Computing 61 (January 2020): 101109. http://dx.doi.org/10.1016/j.pmcj.2019.101109.

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36

Niture, Deeplaxmi Vithalrao, Santosh S. Jadhav, and Shrinivas P. Mahajan. "RECON UWB ANTENNA FOR COGNITIVE RADIO." Progress In Electromagnetics Research C 79 (2017): 79–88. http://dx.doi.org/10.2528/pierc17070306.

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37

Jai Rajesh.P. "DESIGN AND FABRICATION OF RECON SPYBOT." EDXJL International Journal on Innovations and Advanced Research 01, no. 03 (2023): 18–24. http://dx.doi.org/10.59599/edxjl-ijiar.2022.1304.

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Consider how warfare will look in the future when it is fought entirely by autonomous robotics an increasing number of dangerous missions can be performed by robots instead of human soldiers such as searching for terrorists in caves protecting cities from sniper fire and patrolling skies and waterways with little cover from attack robots can also be used to clear minefields and other hazardous areas where human soldiers have been killed. The recon spybot is built to spy on critical situations where a human being is unable to go and it is also used for rescue purpose
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38

Löfstedt, Ragnar. "Hormesis and risk communication: a comment to Ortwin Renn." Human & Experimental Toxicology 22, no. 1 (2003): 35–37. http://dx.doi.org/10.1191/0960327103ht317oa.

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Professor Ortwin Renn should be congratulated for authoring the definitive piece on risk communication with regard to hormesis.1 Most of his conclusions I agree with, specifically the importance of labelling hormesis as a possible natural effect, thereby reducing the stigmatization associated with a technical/chemical label. Rather than discussing all the points that Renn raises, in this comment I will focus on the issue of trust, a topic that Renn does examine but which I feel does not get adequate attention and which I do not completely agree with. In so doing, in my conclusions I am more optimistic than Renn is in preparing risk communication strategies regarding hormesis and other new paradigms to target audiences (defined in most instances as the general public and stakeholders).
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39

Bush, Elizabeth. "Latitude Zero by Diana Renn." Bulletin of the Center for Children's Books 68, no. 1 (2014): 59. http://dx.doi.org/10.1353/bcc.2014.0612.

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40

Greenberg, Michael, and Karen Lowrie. "Ortwin Renn: Risk Governance Maven." Risk Analysis 39, no. 7 (2019): 1435–40. http://dx.doi.org/10.1111/risa.13330.

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41

Singh, Piyush, Prem Prakash Agrawal, and Srujan Dolai. "Recon Automator: Enhancing Cybersecurity Reconnaissance with Automation." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2729–35. https://doi.org/10.22214/ijraset.2025.67932.

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Abstract: Reconnaissance finds extensive meaning within penetration testing and vulnerability assessments when dealing with cybersecurity, as it is an important step in gathering data regarding the target infrastructure as well as identifying points of vulnerability that an adversary can use against them. Despite this, traditional reconnaissance processes tend to be manual and rely on disparate sources of information, resulting in inefficiencies and potential gaps. In order to overcome these challenges, we propose Recon Automator, a new tool that automates the reconnaissance process as well as makes it easier. Recon Automator combines various reconnaissance methods into one framework, using APIs and open-source tools to automate data collection and analysis with the help of custom modules. The tool saves time by eliminating the need for human involvement, thereby decreasing errors and refining asset and vulnerability discovery which increases general security personnel productivity. Here, we present the design and development of Recon Automator, compare its performance with conventional techniques and showcase a few real-world applications. The results show that Recon Automator is able to cut the time spent on reconnaissance while still achieving a high accuracy rate, making it a useful tool in any cybersecurity toolkit. Finally, we discuss the current limitations of Axon and future work needed to implement predictive asset categorization through machine learning at runtime as well as detection/mitigation of spear phishing attacks in real time
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42

Tamsir, Sitti Putri Cahyani, and Efiani. "The Effect of Promotion, Perceived Price and Service Quality on Customer Decisions at Ren Coffee & Eatery." Formosa Journal of Multidisciplinary Research 2, no. 4 (2023): 677–96. http://dx.doi.org/10.55927/fjmr.v2i4.3904.

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This study aims to determine the effect of promotion, perceived price and service quality on customer decisions at Renn Coffe &amp; Eatery. This study used a descriptive quantitative research method with 100 respondents who had visited Renn Coffe &amp; Eatery. The type of data used in this study is primary data by collecting data using a questionnaire. The data were obtained and processed using multiple linear regression analysis supported by the IBM SPSS 22 application. The results of this study indicate that promotion, perceived price and service quality have a positive and significant influence on customer decisions at Renn Coffe.
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43

Pellegrino, Simone, Daniele de Sanctis, Sean McSweeney, and Joanna Timmins. "Expression, purification and preliminary structural analysis of the coiled-coil domain ofDeinococcus radioduransRecN." Acta Crystallographica Section F Structural Biology and Crystallization Communications 68, no. 2 (2012): 218–21. http://dx.doi.org/10.1107/s1744309111055187.

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Deinococcus radioduranshas developed an efficient mechanism which allows the integrity of its entire genome to be fully restored after exposure to very high doses of ionizing radiation. Homologous recombination plays a crucial role in this process. RecN is a protein that belongs to the SMC-like protein family and is suggested to be involved in DNA repair. RecN is composed of a globular domain and an antiparallel coiled-coil region which connects the N- and C-termini. It has been suggested that dimerization of RecN occursviathe coiled-coil domain, but to date there is no structural or biochemical evidence for this. Here, SAXS studies and preliminary X-ray diffraction data of crystals of the purified coiled-coil domain of RecN are presented. The structure was solved by single-wavelength anomalous dispersion using SeMet derivatives, and preliminary electron-density maps support the rod-like model derived from the SAXS data. Model building and refinement are still ongoing.
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44

Zeigler, Daniel R. "Application of a recN sequence similarity analysis to the identification of species within the bacterial genus Geobacillus." International Journal of Systematic and Evolutionary Microbiology 55, no. 3 (2005): 1171–79. http://dx.doi.org/10.1099/ijs.0.63452-0.

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Full-length recN and 16S rRNA gene sequences were determined for a collection of 68 strains from the thermophilic Gram-positive genus Geobacillus, members of which have been isolated from geographically and ecologically diverse locations. Phylogenetic treeing methods clustered the isolates into nine sequence similarity groups, regardless of which gene was used for analysis. Several of these groups corresponded unambiguously to known Geobacillus species, whereas others contained two or more type strains from species with validly published names, highlighting a need for a re-assessment of the taxonomy for this genus. For taxonomic analysis of bacteria related at a genus, species or subspecies level, recN sequence comparisons had a resolving power nearly an order or magnitude greater than 16S rRNA gene comparisons. Mutational saturation rendered recN comparisons much less powerful than 16S rRNA gene comparisons for analysis of higher taxa, however. Analysis of recN sequences should prove a powerful tool for assigning strains to species within Geobacillus, and perhaps within other genera as well.
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45

Paek, Sung, Sangtae Kim, and Olivier de Weck. "Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm." Sensors 19, no. 4 (2019): 765. http://dx.doi.org/10.3390/s19040765.

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Agile Earth observation can be achieved with responsiveness in satellite launches, sensor pointing, or orbit reconfiguration. This study presents a framework for designing reconfigurable satellite constellations capable of both regular Earth observation and disaster monitoring. These observation modes are termed global observation mode and regional observation mode, constituting a reconfigurable satellite constellation (ReCon). Systems engineering approaches are employed to formulate this multidisciplinary problem of co-optimizing satellite design and orbits. Two heuristic methods, simulated annealing (SA) and genetic algorithm (GA), are widely used for discrete combinatorial problems and therefore used in this study to benchmark against a gradient-based method. Point-based SA performed similar or slightly better than the gradient-based method, whereas population-based GA outperformed the other two. The resultant ReCon satellite design is physically feasible and offers performance-to-cost(mass) superior to static constellations. Ongoing research on observation scheduling and constellation management will extend the ReCon applications to radar imaging and radio occultation beyond visible wavelengths and nearby spectrums.
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Raut, Gopal, Shubham Rai, Santosh Kumar Vishvakarma, and Akash Kumar. "RECON: Resource-Efficient CORDIC-Based Neuron Architecture." IEEE Open Journal of Circuits and Systems 2 (2021): 170–81. http://dx.doi.org/10.1109/ojcas.2020.3042743.

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47

Abbas, A., S. Bhatia, and A. Cronin. "Cranioplasty recon plates – indications, presentations and complications." British Journal of Oral and Maxillofacial Surgery 53, no. 10 (2015): e53. http://dx.doi.org/10.1016/j.bjoms.2015.08.052.

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48

Tilbury, Dawn M. "Recon Figureable Logic Control for Manufacturing Systems." Mechanical Engineering 136, no. 12 (2014): S16—S23. http://dx.doi.org/10.1115/1.2014-dec-7.

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This article explores optimistic use of reconfigurable logic control for manufacturing systems. The rapid advancement of computing and networking technologies is enabling more data to be gathered, stored, and analyzed. It is possible for all of the machines in a manufacturing plant to be connected to the Internet of Things (IoT), with their production data stored either in a local database or in a cloud system. This opens up new avenues for online decision-making based on real-time data coming from the system. However, it also introduces significant cybersecurity challenges that will need to be addressed for successful deployment. Traditionally, security in a manufacturing plant was handled through physical separation and access gates with badge identification. Connecting the manufacturing plant to the Internet results in multiple opportunities for improving performance through better data analytics, as well as myriad challenges for safety, security, and privacy.
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49

Lim, J., and A. Sahu. "Improving the success of nipple recon-struction." Annals of The Royal College of Surgeons of England 93, no. 8 (2011): 648. http://dx.doi.org/10.1308/rcsann.2011.93.8.648a.

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50

Hofmann, Heiko. "RECON 2008 — Forum für Controlling und Finance." Controlling & Management 52, no. 1 (2008): 13. http://dx.doi.org/10.1007/s12176-008-0006-7.

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