Academic literature on the topic 'QDMR structures'

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Journal articles on the topic "QDMR structures"

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Wolfson, Tomer, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, and Jonathan Berant. "Break It Down: A Question Understanding Benchmark." Transactions of the Association for Computational Linguistics 8 (July 2020): 183–98. http://dx.doi.org/10.1162/tacl_a_00309.

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Understanding natural language questions entails the ability to break down a question into the requisite steps for computing its answer. In this work, we introduce a Question Decomposition Meaning Representation (QDMR) for questions. QDMR constitutes the ordered list of steps, expressed through natural language, that are necessary for answering a question. We develop a crowdsourcing pipeline, showing that quality QDMRs can be annotated at scale, and release the Break dataset, containing over 83K pairs of questions and their QDMRs. We demonstrate the utility of QDMR by showing that (a) it can be used to improve open-domain question answering on the HotpotQA dataset, (b) it can be deterministically converted to a pseudo-SQL formal language, which can alleviate annotation in semantic parsing applications. Last, we use Break to train a sequence-to-sequence model with copying that parses questions into QDMR structures, and show that it substantially outperforms several natural baselines.
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Balasubramanian, Prabhu, Jerrold A. Floro, Jennifer L. Gray, and Robert Hull. "Nano-scale Chemistry of Complex Self-Assembled Nanostructures in Epitaxial SiGe Films." MRS Proceedings 1551 (2013): 75–80. http://dx.doi.org/10.1557/opl.2013.1019.

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ABSTRACTHeteroepitaxy of SiGe alloys on Si (001) under certain growth conditions has previously been shown to cause self-assembly of nanostructures called Quantum Dot Molecules, QDMs, where pyramidal pits and 3D islands cooperatively form. QDMs have potential applications to nanologic device architectures such as Quantum Cellular Automata that relies on localization of charges inside islands to create bi-stable logic states. In order to determine the applicability of QDMs to such structures it is necessary to understand the nano-scale chemistry of QDMs because the chemistry affects local bandgap which in turn affects a QDM’s charge confinement property. We investigate the nanoscale chemistry of QDMs in the Si0.7Ge0.3/Si (100) system using Auger Electron Spectroscopy (AES). Our AES analysis indicates that compressively strained QDM pit bases are the most Ge rich regions in a QDM. The segregation of Ge to these locations cannot be explained by strain energy minimization.
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Xu, Feng, Yusuke Sudo, Sho Sanechika, Junpei Yamashita, Sho Shimaguchi, Shun-ichiro Honda, Chiho Sumi-Ichinose, et al. "Disturbed biopterin and folate metabolism in the Qdpr -deficient mouse." FEBS Letters 588, no. 21 (September 19, 2014): 3924–31. http://dx.doi.org/10.1016/j.febslet.2014.09.004.

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Sibieude, Thierry, and Élise Leclerc. "La transition numérique des structures œuvrant au service de l’intérêt général peut-elle augmenter leur impact social ?" Question(s) de management 35, no. 5 (September 6, 2021): 91–99. http://dx.doi.org/10.3917/qdm.215.0091.

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Demgenski, Robert, Sebastian Karcher, Dessi Dessi, and Nic Weber. "Introducing the Qualitative Data Repository's Curation Handbook." Journal of eScience Librarianship 10, no. 3 (August 11, 2021). http://dx.doi.org/10.7191/jeslib.2021.1207.

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In this short practice paper, we introduce the public version of the Qualitative Data Repository’s (QDR) Curation Handbook. The Handbook documents and structures curation practices at QDR. We describe the background and genesis of the Handbook and highlight some of its key content.
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Kerr, William, Valeria Gabriela Stoleru, and Anup Pancholi. "Time-Integrated Photoluminescence Studies of In0.3Ga0.7As/GaAs Quantum Dot Molecules." MRS Proceedings 935 (2006). http://dx.doi.org/10.1557/proc-0935-k04-06.

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ABSTRACTWe investigate experimentally and theoretically optical and electronic properties of In0.3Ga0.7As/GaAs quantum dot molecules (QDMs) formed by two layers of self-assembled, vertically stacked quantum dots (QDs). Structures with In0.3Ga0.7As/GaAs QD layers separated by a thin GaAs barrier were grown by solid source molecular beam epitaxy, and were characterized by time-integrated photoluminescence (PL). For the temperature-dependent PL measurements a He-flow optical cryostat was used to control the temperature between 4 and 300 K. The experimentally observed behavior is in good agreement with that expected from our eight-band k·p calculations. Optical and electronic properties of these QDMs are further compared with those of dots grown under conditions that did not promote vertical organization.
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Codjoe, Julius, Raju Thapa, and Elisabeta Mitran. "Queue Analysis at Work Zones from Field-Collected Data." Transportation Research Record: Journal of the Transportation Research Board, July 16, 2021, 036119812110252. http://dx.doi.org/10.1177/03611981211025284.

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Estimation of the capacity of work zones is vital to manage the possibility of traffic flows exceeding capacity and resulting in unbearable queues during work zone lane closures. A plethora of research papers have studied several ways to estimate work zone capacity, with the Highway Capacity Manual (HCM) having its own methodology to estimate capacity based on various site characteristics. However, HCM always recommends validating its model with local data to reflect the actual driving behavior of the region. This study considered work zone capacity as a function of queue discharge rate (QDR), defined as the 15-min average flow rate immediately after breakdown, also known as postbreakdown flow rate. By collecting data from 10 different work zones within the state of Louisiana, the study estimated QDR and its corresponding duration at breakdowns. An average QDR of 1,664 pcphpl and an associated queue of 120 min average duration was found. Analysis of variance showed that average QDRs across all sites were not significantly different. The QDR prediction model revealed that a closed right lane and a work zone on linear roadways significantly increased the discharge rate. However, the presence of nearby exit ramps, daytime scenarios, and an increase in the speed ratio and truck percentages were found to decrease the discharge rate. A separate model for the duration of queue or breakdown found the time of day, change in the speed ratio, presence of entry ramp, location of work zones, and annual average daily traffic of the roadway to be significant variables.
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Girish, Aishwarya, Samruddhi Sutar, T. P. Krishna Murthy, Suheeth Amberi Premanand, Vrinda Garg, Lavan Patil, S. Shreyas, Rohit Shukla, Arvind Kumar Yadav, and Tiratha Raj Singh. "Comprehensive bioinformatics analysis of structural and functional consequences of deleterious missense mutations in the human QDPR gene." Journal of Biomolecular Structure and Dynamics, June 29, 2023, 1–17. http://dx.doi.org/10.1080/07391102.2023.2226740.

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Wenjie, Zhang, An Mengyang, Chen Guanhong, Zhao Fang, Cheng Yong, and Tang Jiale. "The quantification of mountain base elevation based on mountain structure modeling." Frontiers in Environmental Science 10 (October 25, 2022). http://dx.doi.org/10.3389/fenvs.2022.1030301.

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The mountain base elevation, which refers to the initial altitude of a mountain or the mountain altitudinal belt, is of great significance for the study of mountain altitudinal zonality and the mass elevation effect. However, a fast and efficient algorithm for the automatic extraction of a mountain base elevation is still lacking; therefore, a new method based on mountain structure modeling to calculate the mountain base elevation is proposed for the Qinling-Daba Mountains (QDM). The result shows that 1) the mountain structures in different catchments of the Qinling-Daba Mountains can be divided into six types, namely, pyramid, low-diamond, diamond, inverse pyramid, hourglass, and ellipsoid, and each type has a specific distribution law; 2) based on the mountain structure, the calculation result of the mountain base elevation in the Qinling-Daba Mountains ranges from 99 m to 3,979 m, being high in the west, north, and south and low in the east and middle, which is consistent with the overall terrain distribution of the Qinling-Daba Mountains; and 3) there is a good linear correlation between the mountain base elevation and the average altitude in the Qinling-Daba Mountains with R2 = 0.96 (p < 0.01), which also indicates that the mountain base elevation quantification algorithm works well in the mountain areas with a complex terrain.
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Conference papers on the topic "QDMR structures"

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Tong, Yubing, Jayaram K. Udupa, E. Paul Wileyto, Caiyun Wu, Joseph M. McDonough, Anthony Capraro, Oscar H. Mayer, Drew A. Torigian, and Robert M. Campbell. "Quantitative dynamic MRI (QdMRI) volumetric analysis of pediatric patients with thoracic insufficiency syndrome." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2018. http://dx.doi.org/10.1117/12.2294048.

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Oliver, Sean M., Dmitro J. Martynowych, Matthew J. Turner, David A. Hopper, Ronald L. Walsworth, and Edlyn V. Levine. "Vector Magnetic Current Imaging of an 8 nm Process Node Chip and 3D Current Distributions Using the Quantum Diamond Microscope." In ISTFA 2021. ASM International, 2021. http://dx.doi.org/10.31399/asm.cp.istfa2021p0096.

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Abstract The adoption of 3D packaging technology necessitates the development of new approaches to failure electronic device analysis. To that end, our team is developing a tool called the quantum diamond microscope (QDM) that leverages an ensemble of nitrogen vacancy (NV) centers in diamond, achieving vector magnetic imaging with a wide field-of-view and high spatial resolution under ambient conditions. Here, we present the QDM measurement of 2D current distributions in an 8-nm flip chip IC and 3D current distributions in a multi-layer PCB. Magnetic field emanations from the C4 bumps in the flip chip dominate the QDM measurements, but these prove to be useful for image registration and can be subtracted to resolve adjacent current traces in the die at the micron scale. Vias in 3D ICs display only Bx and By magnetic fields due to their vertical orientation and are difficult to detect with magnetometers that only measure the Bz component (orthogonal to the IC surface). Using the multi-layer PCB, we show that the QDM’s ability to simultaneously measure Bx, By, and Bz is advantageous for resolving magnetic fields from vias as current passes between layers. We also show how spacing between conducting layers is determined by magnetic field images and how it agrees with the design specifications of the PCB. In our initial efforts to provide further z-depth information for current sources in complex 3D circuits, we show how magnetic field images of individual layers can be subtracted from the magnetic field image of the total structure. This allows for isolation of signal layers and can be used to map embedded current paths via solution of the 2D magnetic inverse. In addition, the paper also discusses the use of neural networks to identify 2D current distributions and its potential for analyzing 3D structures.
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Reports on the topic "QDMR structures"

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Kelliher, Michael P. Capabilities-Based Force and Army Force Structure: Can we Support the Objectives Outlined in the QDR? Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada414082.

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