Relevant bibliographies by topics / Deep CCA

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Deep CCA'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Deep CCA"

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Lindenbaum, Ofir, Neta Rabin, Yuri Bregman, and Amir Averbuch. "Seismic Event Discrimination Using Deep CCA." IEEE Geoscience and Remote Sensing Letters 17, no. 11 (November 2020): 1856–60. http://dx.doi.org/10.1109/lgrs.2019.2959554.

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Karami, Mahdi, and Dale Schuurmans. "Deep Probabilistic Canonical Correlation Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8055–63. http://dx.doi.org/10.1609/aaai.v35i9.16982.

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We propose a deep generative framework for multi-view learning based on a probabilistic interpretation of canonical correlation analysis (CCA). The model combines a linear multi-view layer in the latent space with deep generative networks as observation models, to decompose the variability in multiple views into a shared latent representation that describes the common underlying sources of variation and a set of viewspecific components. To approximate the posterior distribution of the latent multi-view layer, an efficient variational inference procedure is developed based on the solution of probabilistic CCA. The model is then generalized to an arbitrary number of views. An empirical analysis confirms that the proposed deep multi-view model can discover subtle relationships between multiple views and recover rich representations.
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Gao, Quanxue, Huanhuan Lian, Qianqian Wang, and Gan Sun. "Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3938–45. http://dx.doi.org/10.1609/aaai.v34i04.5808.

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For cross-modal subspace clustering, the key point is how to exploit the correlation information between cross-modal data. However, most hierarchical and structural correlation information among cross-modal data cannot be well exploited due to its high-dimensional non-linear property. To tackle this problem, in this paper, we propose an unsupervised framework named Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis (CMSC-DCCA), which incorporates the correlation constraint with a self-expressive layer to make full use of information among the inter-modal data and the intra-modal data. More specifically, the proposed model consists of three components: 1) deep canonical correlation analysis (Deep CCA) model; 2) self-expressive layer; 3) Deep CCA decoders. The Deep CCA model consists of convolutional encoders and correlation constraint. Convolutional encoders are used to obtain the latent representations of cross-modal data, while adding the correlation constraint for the latent representations can make full use of the information of the inter-modal data. Furthermore, self-expressive layer works on latent representations and constrain it perform self-expression properties, which makes the shared coefficient matrix could capture the hierarchical intra-modal correlations of each modality. Then Deep CCA decoders reconstruct data to ensure that the encoded features can preserve the structure of the original data. Experimental results on several real-world datasets demonstrate the proposed method outperforms the state-of-the-art methods.
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Li, Bin, and Yuqing He. "Computational Logistics for Container Terminal Handling Systems with Deep Learning." Computational Intelligence and Neuroscience 2021 (April 26, 2021): 1–18. http://dx.doi.org/10.1155/2021/5529914.

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Container terminals are playing an increasingly important role in the global logistics network; however, the programming, planning, scheduling, and decision of the container terminal handling system (CTHS) all are provided with a high degree of nonlinearity, coupling, and complexity. Given that, a combination of computational logistics and deep learning, which is just about container terminal-oriented neural-physical fusion computation (CTO-NPFC), is proposed to discuss and explore the pattern recognition and regression analysis of CTHS. Because the liner berthing time (LBT) is the central index of terminal logistics service and carbon efficiency conditions and it is also the important foundation and guidance to task scheduling and resource allocation in CTHS, a deep learning model core computing architecture (DLM-CCA) for LBT prediction is presented to practice CTO-NPFC. Based on the quayside running data for the past five years at a typical container terminal in China, the deep neural networks model of the DLM-CCA is designed, implemented, executed, and evaluated with TensorFlow 2.3 and the specific feature extraction package of tsfresh. The DLM-CCA shows agile, efficient, flexible, and excellent forecasting performances for LBT with the low consuming costs on a common hardware platform. It interprets and demonstrates the feasibility and credibility of the philosophy, paradigm, architecture, and algorithm of CTO-NPFC preliminarily.
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Jain, Pankaj K., Abhishek Dubey, Luca Saba, Narender N. Khanna, John R. Laird, Andrew Nicolaides, Mostafa M. Fouda, Jasjit S. Suri, and Neeraj Sharma. "Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm." Journal of Cardiovascular Development and Disease 9, no. 10 (September 27, 2022): 326. http://dx.doi.org/10.3390/jcdd9100326.

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Stroke and cardiovascular diseases (CVD) significantly affect the world population. The early detection of such events may prevent the burden of death and costly surgery. Conventional methods are neither automated nor clinically accurate. Artificial Intelligence-based methods of automatically detecting and predicting the severity of CVD and stroke in their early stages are of prime importance. This study proposes an attention-channel-based UNet deep learning (DL) model that identifies the carotid plaques in the internal carotid artery (ICA) and common carotid artery (CCA) images. Our experiments consist of 970 ICA images from the UK, 379 CCA images from diabetic Japanese patients, and 300 CCA images from post-menopausal women from Hong Kong. We combined both CCA images to form an integrated database of 679 images. A rotation transformation technique was applied to 679 CCA images, doubling the database for the experiments. The cross-validation K5 (80% training: 20% testing) protocol was applied for accuracy determination. The results of the Attention-UNet model are benchmarked against UNet, UNet++, and UNet3P models. Visual plaque segmentation showed improvement in the Attention-UNet results compared to the other three models. The correlation coefficient (CC) value for Attention-UNet is 0.96, compared to 0.93, 0.96, and 0.92 for UNet, UNet++, and UNet3P models. Similarly, the AUC value for Attention-UNet is 0.97, compared to 0.964, 0.966, and 0.965 for other models. Conclusively, the Attention-UNet model is beneficial in segmenting very bright and fuzzy plaque images that are hard to diagnose using other methods. Further, we present a multi-ethnic, multi-center, racial bias-free study of stroke risk assessment.
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Jiang, Guoping, Wu Zhang, Ting Wang, Songming Ding, Xiaoliang Shi, Shuirong Zhang, Weiwei Shi, Angen Liu, and Shusen Zheng. "Characteristics of genomic alterations in Chinese cholangiocarcinoma patients." Japanese Journal of Clinical Oncology 50, no. 10 (June 13, 2020): 1117–25. http://dx.doi.org/10.1093/jjco/hyaa088.

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Abstract Objective Cholangiocarcinoma (CCA) is a primary malignancy, which is often diagnosed as advanced and inoperable due to the lack of effective biomarkers and poor sensitivity of clinical diagnosis. Here, we aimed to identify the genomic profile of CCA and provided molecular evidence for further biomarker development. Methods The formalin-fixed paraffin-embedded and matching blood samples were sequenced by deep sequencing targeting 450 cancer genes and genomic alteration analysis was performed. Tumor mutational burden (TMB) was measured by an algorithm developed in-house. Correlation analysis was performed by Fisher’s exact test. Results The most commonly altered genes in this cohort were TP53 (41.27%, 26/63), KRAS (31.75%, 20/63), ARID1A and IDH1 (15.87%, 10/63, for both), SMAD4 (14.29%, 9/63), FGFR2 and BAP1 (12.70%, 8/63, for both), and CDKN2A (11.11%, 7/63). BAP1 mutations were significantly correlated with the CCA subtype. LRP2 mutations were significantly associated with the younger intrahepatic CCA (iCCA) patients, while BAP1 was associated with iCCA patients aged 55–65 years old. BAP1 and LRP2 mutations were associated with TMB. Conclusions Most Chinese CCA patients were 50–70 years old. BAP1 and LRP2 mutations were associated with the age of iCCA patients.
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Yuan, Fei, Xiaoquan Ke, and En Cheng. "Joint Representation and Recognition for Ship-Radiated Noise Based on Multimodal Deep Learning." Journal of Marine Science and Engineering 7, no. 11 (October 27, 2019): 380. http://dx.doi.org/10.3390/jmse7110380.

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Ship recognition based on ship-radiated noise is one of the most important and challenging subjects in underwater acoustic signal processing. The recognition methods for ship-radiated noise recognition include traditional methods and deep learning (DL) methods. Developing from the DL methods and inspired by audio–video speech recognition (AVSR), the paper further introduces multimodal deep learning (multimodal-DL) methods for the recognition of ship-radiated noise. In this paper, ship-radiated noise (acoustics modality) and visual observation of the ships (visual modality) are two different modalities that the multimodal-DL methods model on. The paper specially designs a multimodal-DL framework, the multimodal convolutional neural networks (multimodal-CNNs) for the recognition of ship-radiated noise. Then the paper proposes a strategy based on canonical correlation analysis (CCA-based strategy) to build a joint representation and recognition on the two different single-modality (acoustics modality and visual modality). The multimodal-CNNs and the CCA-based strategy are tested on real ship-radiated noise data recorded. Experimental results show that, using the CCA-based strategy, strong-discriminative information can be built from weak-discriminative information provided from a single-modality. Experimental results also show that as long as any one of the single-modalities can provide information for the recognition, the multimodal-DL methods can have a much better multiclass recognition performance than the DL methods. The paper also discusses the advantages and superiorities of the multimodal-Dl methods over the traditional methods for ship-radiated noise recognition.
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Chapman, James, and Hao-Ting Wang. "CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework." Journal of Open Source Software 6, no. 68 (December 18, 2021): 3823. http://dx.doi.org/10.21105/joss.03823.

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Yu, Yi, Suhua Tang, Kiyoharu Aizawa, and Akiko Aizawa. "Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data." IEEE Transactions on Neural Networks and Learning Systems 30, no. 4 (April 2019): 1250–58. http://dx.doi.org/10.1109/tnnls.2018.2856253.

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Peng, Yun, Shenyi Zhao, and Jizhan Liu. "Fused Deep Features-Based Grape Varieties Identification Using Support Vector Machine." Agriculture 11, no. 9 (September 10, 2021): 869. http://dx.doi.org/10.3390/agriculture11090869.

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Proper identification of different grape varieties by smart machinery is of great importance to modern agriculture production. In this paper, a fast and accurate identification method based on Canonical Correlation Analysis (CCA), which can fuse different deep features extracted from Convolutional Neural Network (CNN), plus Support Vector Machine (SVM) is proposed. In this research, based on an open dataset, three types of state-of-the-art CNNs, seven species of deep features, and a multi-class SVM classifier were studied. First, the images were resized to meet the input requirements of a CNN. Then, the deep features of the input images were extracted by a specific deep features layer of the CNN. Next, two kinds of deep features from different networks were fused by CCA to increase the effective classification feature information. Finally, a multi-class SVM classifier was trained with the fused features. When applied to an open dataset, the model outcome shows that the fused deep features with any combination can obtain better identification performance than by using a single type of deep feature. The fusion of fc6 (in AlexNet network) and Fc1000 (in ResNet50 network) deep features obtained the best identification performance. The average F1 Score of 96.9% was 8.7% higher compared to the best performance of a single deep feature, i.e., Fc1000 of ResNet101, which was 88.2%. Furthermore, the F1 Score of the proposed method is 2.7% higher than the best performance obtained by using a CNN directly. The experimental results show that the method proposed in this paper can achieve fast and accurate identification of grape varieties. Based on the proposed algorithm, the smart machinery in agriculture can take more targeted measures based on the different characteristics of different grape varieties for further improvement of the yield and quality of grape production.
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Dissertations / Theses on the topic "Deep CCA"

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Hurley, Daniel Joseph Colman. "Deep CCD photometry in the globular cluster M10." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27480.

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CCD observations of the galactic globular cluster NGC 6254 (M10), obtained at the Canada-France-Hawaii 3.6m telescope, have been reduced and analysed. A color-magnitude diagram of the cluster which extends below V = 21 is presented. The basic observational parameters of distance modulus, reddening and metallicity are derived. The latter two values are in excellent agreement with results in the literature. The distance modulus is 0m3 larger than previous estimates. Possible implications of this discrepancy are considered. The morphology of the color-magnitude diagram, in particular the very blue horizontal branch which is observed down to the turnoff luminosity, is discussed in terms of the "second parameter" problem. The age of M10 is estimated to be 17 ± 1 Gyr, through use of Vandenberg and Bell's (1985) isochrones. A comparison to the color-magnitude diagram of NGC 288 produced by Bolte (1989b) to that of M10 indicates that these two clusters are coeval. Luminosity functions are generated for the three fields observed in M10 and translated into mass functions. By comparing those mass functions to multimass King models a global mass function exponent of x[sub global] = 0-5 ± 0.5 is found. The mass function is quite uniform in slope in the range 0.5-0.8M©. NO firm evidence for mass segregation was seen, but these data are not particularly sensitive to such effects.
Science, Faculty of
Physics and Astronomy, Department of
Graduate
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Sato, Takashi. "Deep CCD photometry in the globular cluster M12." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28334.

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New UBV CCD photometry is presented for a single field measuring 2'.2 x 3'.5 in the galactic globular cluster M12 (NGC 6218). This field is located 3'.5 or 3 core radii from the cluster centre. The photometry reaches well down the main sequence to fainter than V = 23.5. In the colour-magnitude diagram, a possible sequence of binary stars appears separated from the upper main sequence. Excluding the possible binaries, the upper main sequence shows small intrinsic width consistent with zero spread in chemical composition and with an upper limit of Δ[Fe/H] ≤ 0.2. Stars from the M12 horizontal branch and from the field found on our CCD frames have been used to derive a reddening estimate for M12 of E(B - V) = 0.23 ± 0.04. Our fiducial main sequence is compared with that defined by the subdwarfs to determine the apparent distance modulus with the result (m - M)v = 14.25 ± 0.20. The metallicity of M12 is estimated to be [Fe/H] = -1.4 using values found in the literature in conjunction with our own estimate based on δ(U - B)[sub 0.6] = -0.15 which is measured from the colour-colour diagram. Using these parameters, comparison with theoretical isochrones of VandenBerg and Bell results in a best-estimate age of 17 ±1 Gyr, although uncertainties associated with these fundamental parameters and the oxygen abundance increase the 'true error.' A luminosity function and the corresponding mass function are also constructed using the available data. A fit to a power law mass spectrum of the form Ndm ∝ m[sup -(1+z)]dm yields x = -0.70 ± 0.16 whereas x ≈ +1 is expected from the x - metallicity relation of McClure et al. Results obtained using multimass King models indicate that the global value for the power law index is also near -0.7 for 12.
Science, Faculty of
Physics and Astronomy, Department of
Graduate
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Tse, Daniel Gar-shon. "Chinese CCGbank: Deep derivations and dependencies for Chinese CCG parsing." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9439.

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The fundamental goal of this dissertation is to establish that deep, efficient, accurate parsing models can be acquired for Chinese, through parsers founded on Combinatory Categorial Grammar (CCG), a grammar formalism which has already enabled the creation of rich parsing models for English. We harness these CCG analyses of cross-linguistic syntax, harmonising them with modern accounts from Chinese generative syntax, contributing the first analysis of Chinese syntax through CCG in the literature. Supervised statistical parsing approaches rely on the availability of large annotated corpora. To avoid the cost of manual annotation, we adopt the corpus conversion methodology, in which an automatic corpus conversion algorithm projects annotations from a source corpus into the target formalism. The central contribution of this thesis is Chinese CCGbank, a corpus of 750,000 words automatically extracted from the Penn Chinese Treebank, reifying the abstract analysis through corpus conversion. We then take three state-of-the-art CCG parsers from the literature — the split-merge PCFG parser of Petrov and Klein, the transition-based CCG parser of Zhang et al., and the maximum entropy parser of Clark and Curran — and train and evaluate all three on Chinese CCGbank, achieving the first Chinese CCG parsing models in the literature. We demonstrate that while the three parsers are only separated by a small margin trained on English CCGbank, a substantial gulf of 4.8% separates the same parsers trained on Chinese CCGbank. We also confirm that the gap between the states-of-the-art in English and Chinese PSG parsing can be observed in CCG parsing. Our parsing experiments establish Chinese CCG parsing as a new and substantial challenge, a line of empirical investigation directly enabled by Chinese CCGbank.
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Wood, Daniel. "Radiation-induced deep-level defects in CCD imaging and spectroscopy sensors." Thesis, Open University, 2018. http://oro.open.ac.uk/55483/.

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This thesis is concerned with the analysis of radiation-induced defects within the silicon lattice of a Charge-Coupled Device (CCD) image or spectroscopy sensor and particularly those defects with energy levels which can trap charge as it passes through a device, ultimately leading to image quality degradation. A novel technique for the study of certain defect levels within the silicon lattice in a CCD is introduced and developed, allowing for the analysis of individual defects and providing high spatial and temporal resolution. The technique and results both have potentially important consequences for CCD characterisation and use; particularly in the case of space-based detectors for which the radiation environment is harsh and the sensor performance specifications increasingly demanding. CCDs currently constitute the standard sensor for large-scale space-based telescopes such as the Hubble Space Telescope (HST), GAIA, EUCLID etc. Through design processes, careful device optimisation, and post-image correction algorithms the effects of radiation-induced image degradation can be mitigated to levels which have, until now, been sufficient. However the increasingly ambitious scientific goals of such missions (the upcoming EUCLID mission being a prime example) place more and more stringent demands on sensor performance. Therefore further analysis of the defects responsible for loss of image quality is required to enable more efficient and detailed correction algorithms to be implemented, as described in Chapter 3 of this thesis. Current, well-established defect analysis techniques may not have the ability to provide the accuracy required for future missions and so in Chapter 4 a relatively new technique of single trap-pumping is introduced and developed for our research aims. Using this technique both p-channel (Chapter 5) and n-channel (Chapter 7) CCDs are analysed, with the primary aim being to measure defect emission time constants (the length of time between the capture and emission of a charge carrier at a defect level) since this is the property of a defect level which most strongly affects its ability to degrade an image, depending on the operational conditions of the device. A number of important defects are studied over a range of temperatures allowing for further defect parameters, such as energy level, to be deduced. Defect emission time constants are highly temperature-sensitive and so the dominant chargetrapping defects differ depending on the operational temperature of the device and the clock timings used. The effect of device temperature during irradiation on the defect distribution within a CCD is investigated in Chapter 6 using a p-channel CCD irradiated with protons at 153K. The results show large differences between this device and one irradiated at roomtemperature, which is currently the standard practice for device characterisation and testing for all space missions. This is an important result which shows that current irradiation testing procedures may require changing as device performance specifications become more and more demanding. Further potential uses of the trap-pumping method as a defect analysis tool are outlined in Chapter 8 before the entire results are summarised.
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RANDAZZO, VINCENZO. "Novel neural approaches to data topology analysis and telemedicine." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2850610.

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Länje, Marcus. "Cenozoic history of North Atlantic deep sea carbonate preservation." Thesis, Stockholms universitet, Institutionen för geologiska vetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-117984.

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Carbonate preservation in the oceans occurs at a depth called the carbonate compensation depth (CCD). The CCD is where the input rate of carbonate from the surface of the ocean is balanced by the dissolution rate. Factors controlling the CCD are the CO2 in the atmosphere, weathering, and productivity in the surface water, the depth of the lysocline and deep water currents (and their ocean circulation). Two previous studies have investigated the variation of the CCD through geologic time, one in the equatorial Pacific (Pälike et al., 2012) and the other compiled results from the Pacific, Atlantic and Indian Oceans (Van Andel, 1975). The project consisted of compiling a database of sediment lithologies for many more sites in the Atlantic since the compilation by Van Andel, 1975, and together with a subsidence model of the ocean crust the systematic variations of CCD could be investigated. The results show that the CCD varies both spatially and temporally in accordance with previous studies. The reconstruction of the CCD needs further analysis, and possibly data from the oldest drilling program, the Deep Sea Drilling Project (DSDP). One result that is very important is that this study includes a total of 91 sites in the Atlantic Ocean, far more than in any of the other two studies. Future work can build upon the already started database of sediment lithologies.
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Córdova, Ramos Christian. "Informe para la sustentación de expedientes: 00047-2012-0-0501-JR-CI-02 / 0136-2014/CCD." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/656460.

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El presente expediente busca –a través de un proceso sumarísimo- dilucidar aquella situación jurídica en la que un demandante exige el otorgamiento de una escritura pública al demandado invocando la existencia y validez de un acto previamente celebrado entre ambas partes, el mismo que es sustentado a través de medios de prueba de distinta índole; no obstante, a lo largo del presente proceso no se logra probar fehacientemente la existencia de dicho acuerdo, e inclusive no se pudo identificar efectivamente el bien materia de la relación jurídica invocada, y por ende resulta cuestionable el reconocer a la institución de la compraventa en este proceso. Al respecto, el proceso discute con mucho ímpetu las normas jurídicas, doctrina y/o sentencias afines, con el propósito ulterior de probar que no debería ser materia de calificación jurisdiccional la evaluación del acto jurídico previo, en este caso la compraventa sobre el bien inmueble materia de exigencia de elevación a escritura pública; sin embargo, como bien indico en el párrafo anterior, no se dio el suficiente énfasis a la identificación de los elementos esenciales de la compraventa. Sin perjuicio de lo anterior, importante hacer notar a que el presente proceso discute temas como acto jurídico y contratos, distintos temas de derechos reales, notariales, e indirectamente registrales, litisconsorte, sucesiones, masa hereditaria, transferencia de propiedad, entre otras. Finalmente, se hace invocación a infracciones normativas, lo cual confiere como materia de análisis a los elementos de la casación, apelación y otorgamiento de Escritura Pública como tal -según corresponda-.
This file seeks -through a summary process- to elucidate that legal situation in which a plaintiff demands the granting of a public deed to the defendant invoking the existence and validity of an act previously celebrated between both parties, the same that is supported by through different kinds of evidence; However, throughout the present process, the existence of said agreement has not been conclusively proven, and it was not even possible to effectively identify the property that is the subject of the invoked legal relationship, and therefore it is questionable whether to recognize the institution of the sale in this process. In this regard, the process vigorously discusses the legal regulations, doctrine and / or related judgments, with the subsequent purpose of proving that the evaluation of the previous legal act should not be a matter of jurisdictional qualification, in this case the sale of the real estate. matter of requirement of elevation to public deed; However, as I have indicated in the previous paragraph, not enough emphasis was given to the identification of the essential elements of the sale. Notwithstanding the foregoing, it is important to note that this process discusses issues such as a legal act and contracts, different issues of real state law, notarial laws, and indirectly registry rights, joint litigation, inheritance, transfer of property, among others. Finally, an invocation is made of normative infractions, which confers as matter of analysis the elements of the cassation, appeal and granting of Public Deed as such -as appropriate-.
Trabajo de suficiencia profesional
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Lommen, Jonathan Lyon Jacob. "Effects of Transcranial Direct-Current Stimulation on Gait Initiation in People with Parkinson’s Disease." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39959.

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Background: Gait initiation is a major issue in Parkinson’s disease (PD). Moreover, the effect of current treatment on motor deficits vary alongside individual differences and disease severity. In some cases, postural instability has been documented as a major side-effect and refractory symptom to dopaminergic medication. Despite these shortcomings, research involving other forms of therapy including deep brain stimulation (DBS) and transcranial magnetic stimulation (TMS), has evidenced the improvement of postural deficits in PD. In this regard, there is a strong rational for the modulation of subcortical brain activity via the application of non-invasive transcranial direct current stimulation (tDCS) to interconnected cortical brain structures. Purpose: Therefore, we sought to determine the effect of tDCS applied to the supplementary motor area (SMA), on gait initiation preparation and performance in PD. Methods: A within subjects repeated measures quasi-experimental design was used to investigate the effects of a 10-minute sham-controlled tDCS intervention. Clinically diagnosed participants (n=12) with idiopathic PD were tested on medication during two sessions that bookended one week. Those who had previously undergone other forms of brain stimulation, had diabetes, severe freezing of gait, or any other neurological or functional limitations that could interfere with gait initiation were excluded from the study. Statistical Analyses/Results: Two-way repeated measures ANOVAs with Bonferroni corrections and a post-hoc analyses when appropriate, revealed a significant reduction in the magnitude of center of pressure (CoP) displacement and velocity in the mediolateral (ML) direction following tDCS. Conclusions: Findings from this study provide insights that may guide scientific research regarding the effects of tDCS on gait initiation among those with PD. Additionally, our work may highlight the importance of ML postural stability for individuals with comorbid and/or pharmacologically induced postural instabilities.
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Katthi, Jaswanth Reddy. "Deep Learning Methods For Audio EEG Analysis." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5734.

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The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel them. The non-invasive recordings capturing the brain activations like electroencephalogram (EEG) and magnetoencephalogram (MEG) are commonly deployed to capture the brain responses to auditory stimuli. But these non-invasive techniques capture artifacts and signals not related to the stimuli, which distort the stimulus-response analysis. The effect of the artifacts be- comes more evident for naturalistic stimuli. To reduce the inter-subject redundancies and amplify the components related to the stimuli, the EEG responses from multiple subjects listening to a common naturalistic stimulus need to be normalized. The currently used normalization and pre-processing methods are the canonical correlation analysis (CCA) models and the temporal response function based forward/backward models. However, these methods assume a simplistic linear relationship between the audio features and the EEG responses and therefore, may not alleviate the recording artifacts and interfering signals in EEG. This thesis proposes novel methods using machine learning advances to improve the audio-EEG analysis. We propose a deep learning framework for audio-EEG analysis in intra-subject and inter-subject settings. The deep learning based intra-subject analysis methods are trained with a Pearson correlation-based cost function between the stimuli and EEG responses. This model allows the transformation of the audio and EEG features that are maximally correlated. The correlation-based cost function can be optimized with the learnable parameters of the model trained using standard gradient descent- based methods. This model is referred to as the deep CCA (DCCA) model. Several experiments are performed on the EEG data recorded when the subjects are listening to naturalistic speech and music stimuli. We show that the deep methods obtain better representations than the linear methods and results in statistically significant improvements in correlation values. Further, we propose a neural network model with shared encoders that align the EEG responses from multiple subjects listening to the same audio stimuli. This inter-subject model boosts the signals common across the subjects and suppresses the subject-specific artifacts. The impact of improving stimulus-response correlations are highlighted based on multi-subject EEG data from speech and music tasks. This model is referred to as the deep multi-way canonical correlation analysis (DMCCA). The combination of inter-subject analysis using DMCCA and intra-subject analysis using DCCA is shown to provide the best stimulus-response in audio-EEG experiments. We highlight how much of the audio signal can be recovered purely from the non- invasive EEG recordings with modern machine learning methods, and conclude with a discussion on future challenges in audio-EEG analysis.
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Huang, Ru-huei, and 黃如慧. "Limiting Magnitude Analysis for Deep Depletion CCD Camera." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/40818877695853246035.

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碩士
國立中央大學
天文研究所
100
Since the late twentieth century, the charge-coupled device becomes the most popular detector which is used in astronomical observations. As time goes on, the semiconductor process technology has developed more mature. The new generation deep depletion CCD has developed successfully as the thickness of the depletion layer is increased. It is insufficient for the related information of the characteristics and performance for new instrument. Therefore, we will research and evaluate further. In order to research the properties and ability of the new instrument, we use limiting magnitude and fringe pattern to as a reviewable indicator. In observational strategy, we use the same exposure time to take two images continuously. Because the time interval of the two image is within very short time, we can ignore the changes of the sky condition, weather, and instrument during the acquisitions of pairs of images. Moreover, we use differential magnitudes method to estimate the limiting magnitude. And utilizing photon counting to check quality of the observation. In the results of the theoretical calculation, limiting magnitude is better for deep depletion CCD which is possessed higher quantum efficiency than conventional thinned CCD at z’ band. The difference is about 0.4mag. And the difference of limiting magnitude between theoretical calculation and observation was getting less as wavelength was getting longer for deep depletion CCD. Due to the atmosphere at longer wavelength regions, the influence from extinction has reduced. Therefore, to use the deep depletion CCD camera, we can still observe at i’ and z’ band even on poor condition nights and also provide reliable results for observations. Besides, the fringe pattern causes 2.9% and 6.4% photometric errors for the images acquired from conventional thinned CCD camera at i’ and z’ band. And we can not see the effect of fringe pattern in images from deep depletion CCD camera at any band. Thus, to select deep depletion CCD camera as the observable instrument at i’ and z’ band, it can assure the photometric accuracy.
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Books on the topic "Deep CCA"

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Haroutyunian, Sona, and Dario Miccoli. Orienti migranti: tra letteratura e traduzione. Venice: Fondazione Università Ca’ Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-499-8.

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The book series, edited by Nicoletta Pesaro and sponsored by the Department of Asian and North African Studies, aims to give voice to a time-honoured branch of theoretical and practical research across the disciplines and research domains within the Department. The series aims to establish a platform for scholarly discussion and a space for international dialogue on the translation of Asian and North African languages. In doing so, the project aims to observe and verify the translingual and transcultural dynamics triggered by translation from and into said ‘languages-cultures’, as well as to identify and explore the deep cultural mechanisms and structures involved in interethnic behaviours and relationships. Translation is also a major research tool in the humanities. As a matter of fact, a hermeneutic potential in terms of cultural mediation is inherent in translation activities and in the reflection on translation: it is precisely this potential that allows scholars, in both their research and dissemination work, to bring to the surface the interethnic and intercultural dynamics regulating the relationships between civilisations, both diachronically and synchronically. The project is a continuation and a development of the research carried out in recent years by the former Department of East Asian Studies – now Department of Asian and North African Studies – of Ca’ Foscari University of Venice through a series of initiatives organised by the research group on the translation of Asian languages “Laboratorio sulla Traduzione delle Lingue orientali” (Laboratori sulle lingue orientali). Such activities involved periodical meetings on translation, whose objective was to introduce and discuss specific issues in translation from and into Asian languages, as well as several international events (workshops, conferences, and symposia).
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Truby, J. David. Zips, pipes, and pens: Arsenal of improvised weapons. Boulder, Colo., USA: Paladin Press, 1993.

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Vickers, John C. Deep Sky CCD Atlas. University of Cambridge ESOL Examinations, 2000.

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Vickers, John. The Deep-Sky Ccd Album. Sky Pub Corp, 1993.

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CCD Image Sensors in Deep-Ultraviolet. Berlin/Heidelberg: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b139047.

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Vickers, John C. Deep Space CCD Atlas North & South on CD-R. Electronic Art and Publishing, 1993.

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Nathan, Arokia, and Flora Li. CCD Image Sensors in Deep-Ultraviolet: Degradation Behavior and Damage Mechanisms. Springer, 2010.

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Nathan, Arokia, and Flora Li. CCD Image Sensors in Deep-Ultraviolet: Degradation Behavior and Damage Mechanisms. Springer London, Limited, 2006.

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Li, F. M., and A. Nathan. CCD Image Sensors in Deep-Ultraviolet: Degradation Behavior and Damage Mechanisms (Microtechnology and MEMS). Springer, 2005.

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Newell, L. Jackson. Electric Edge of Academe: The Saga of Lucien L. Nunn and Deep Springs College. University of Utah Press, 2015.

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Book chapters on the topic "Deep CCA"

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Hu, Dan, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, and Gang Li. "Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 231–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87199-4_22.

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Bycer, Joshua. "The TCG/CCG Market." In Game Design Deep Dive, 129–33. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003335214-10.

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Richer, Harvey B., and Gregory G. Fahlman. "Deep CCD Photometry in M 5." In The Harlow-Shapley Symposium on Globular Cluster Systems in Galaxies, 623. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-1104-9_134.

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Noble, R. G., J. Buttress, W. K. Griffiths, A. J. Penny, R. J. Dickens, and R. D. Cannon. "Deep CCD Photometry of Omega Centauri." In The Harlow-Shapley Symposium on Globular Cluster Systems in Galaxies, 631–32. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-1104-9_138.

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Giannakos, Michail. "Developments in Data Science and Artificial Intelligence in Learning Technology and CCI Research." In Experimental Studies in Learning Technology and Child–Computer Interaction, 89–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14350-2_9.

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AbstractThis book is focusing on experimental studies in learning technology and CCI research. During the last years, the areas of data science and AI have influenced different aspects of human-factors IT-related research in general and learning technology and CCI research in particular. Therefore, although this book does not provide a deep discussion on how data science and AI have influenced contemporary learning technology and CCI research; in this chapter, we provide a brief presentation of the developments in data science and AI, and the role of those developments in learning technology and CCI research.
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Smith, Malcolm G. "Surveys with the BTC Mosaic CCD Camera at the Blanco 4m Telescope." In Looking Deep in the Southern Sky, 72–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-49460-7_14.

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Ortolani, S. "Deep CCD Photometry in ω CEN and NGC 3201." In The Harlow-Shapley Symposium on Globular Cluster Systems in Galaxies, 629–30. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-1104-9_137.

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Nagrath, Kriti, Kate Dooley, and Sven Teske. "Nature-Based Carbon Sinks: Carbon Conservation and Protection Zones." In Achieving the Paris Climate Agreement Goals, 337–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99177-7_14.

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AbstractBasic information on ecosystem-based approaches to climate mitigation is provided, and their inclusion in international climate and nature conservation treaties is discussed. Key concepts around net-zero emissions and carbon removal are examined, as are the roles they play in the One Earth Climate Model, which develops a 1.5 °C-compatible scenario by combining ecosystem restoration with deep decarbonization pathways. The carbon removal potentials of the five ecosystem restoration pathways—forests and agricultural lands, forest restoration, reforestation, reduced harvest, agroforestry, and silvopasture—are provided. Land-use management options, including the creation of ‘carbon conservation zones’ (CCZ), are discussed.
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Boeshaar, P. Chikotas, J. A. Tyson, and P. Seitzer. "Extreme M Dwarfs and Brown Dwarfs in a Deep CCD Survey." In Dark Matter in the Universe, 32. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4772-6_3.

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Yoshizawa, M., S. Suzuki, T. Kuwabara, and H. Ishizaki. "Observations of Faint Stars Deep to 16th Magnitude with CCD Meridian Circle." In Developments in Astrometry and Their Impact on Astrophysics and Geodynamics, 71–74. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1711-1_11.

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Conference papers on the topic "Deep CCA"

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Kumar, Sumit, B. Anshuman, Linus Rüttimann, Richard H. R. Hahnloser, and Vipul Arora. "Balanced Deep CCA for Bird Vocalization Detection." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10094650.

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Chang, Xiaobin, Tao Xiang, and Timothy M. Hospedales. "Scalable and Effective Deep CCA via Soft Decorrelation." In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2018. http://dx.doi.org/10.1109/cvpr.2018.00161.

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Cai, Dongqi, and Fei Su. "Deep CCA based super vector for action recognition." In 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7351140.

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Wang, Weiran, Raman Arora, Karen Livescu, and Nathan Srebro. "Stochastic optimization for deep CCA via nonlinear orthogonal iterations." In 2015 53rd Annual Allerton Conference on Communication, Control and Computing (Allerton). IEEE, 2015. http://dx.doi.org/10.1109/allerton.2015.7447071.

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Kim, Myungjong, Beiming Cao, Ted Mau, and Jun Wang. "Multiview Representation Learning via Deep CCA for Silent Speech Recognition." In Interspeech 2017. ISCA: ISCA, 2017. http://dx.doi.org/10.21437/interspeech.2017-952.

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Cubo, Ruben, and Alexander Medvedev. "Accuracy of the Finite Element Method in Deep Brain Stimulation modelling." In 2014 IEEE Conference on Control Applications (CCA). IEEE, 2014. http://dx.doi.org/10.1109/cca.2014.6981533.

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Sawata, Ryosuke, Takahiro Ogawa, and Miki Haseyama. "The Extraction of Individual Music Preference Based on Deep Time-series CCA." In 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE). IEEE, 2019. http://dx.doi.org/10.1109/gcce46687.2019.9015274.

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Zeng, Donghuo, Yi Yu, and Keizo Oyama. "Audio-Visual Embedding for Cross-Modal Music Video Retrieval through Supervised Deep CCA." In 2018 IEEE International Symposium on Multimedia (ISM). IEEE, 2018. http://dx.doi.org/10.1109/ism.2018.00-21.

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Pedoto, Gilda, Sabato Santaniello, Giovanni Fiengo, Luigi Glielmo, Mark Hallett, Ping Zhuang, and Sridevi V. Sarma. "Towards automated navigation of deep brain stimulating electrodes: Analyzing neuronal activity near the target." In 2012 IEEE International Conference on Control Applications (CCA). IEEE, 2012. http://dx.doi.org/10.1109/cca.2012.6402474.

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Matthews, Mark L., and Leif G. Eriksson. "Post-Closure Removal of Long-Lived Radioactive Waste From a Deep Geological Repository in Bedded Salt." In ASME 2001 8th International Conference on Radioactive Waste Management and Environmental Remediation. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/icem2001-1294.

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Abstract In recent years, retrievability (and various permutations of this term) has emerged around the world as a means to achieve and enhance public acceptance of deep geological disposal of long-lived radioactive wastes/materials (LLRMs). In this debate, it is often erroneously suggested that post-closure retrievability of the emplaced LLRMs cannot be accomplished in salt. In October 1996, the U.S. Department of Energy (DOE) submitted the Waste Isolation Pilot Plant (WIPP) Compliance Certification Application (CCA) to the U.S. Environmental Protection Agency (EPA) for review and approval. The CCA included a feasibility analysis defining a five-phased approach to post-closure waste removal from the WIPP rock salt repository based on currently available equipment and technologies. The feasibility analysis addressed highly adverse workers’ safety and waste retrieval conditions, including: 1. Radioactivity. 2. Hazardous constituents. 3. Gas. 4. Brine. 5. Rock integrity (instability). The concluding statement in the CCA was that “In no case, however, are the conditions expected to render removal impossible”. In May 1998, the EPA announced that WIPP complied with all applicable radioactive waste management and disposal regulations. This announcement was preceded by intense EPA and public scrutiny and oversight, which included successfully overcoming two legal challenges. Hence, the global application of the WIPP waste-removal feasibility analysis is: LLRM emplaced in a rock salt repository can be removed during the post-closure period with currently available technologies!
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Reports on the topic "Deep CCA"

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Harris, L. B., P. Adiban, and E. Gloaguen. The role of enigmatic deep crustal and upper mantle structures on Au and magmatic Ni-Cu-PGE-Cr mineralization in the Superior Province. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328984.

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Aeromagnetic and ground gravity data for the Canadian Superior Province, filtered to extract long wavelength components and converted to pseudo-gravity, highlight deep, N-S trending regional-scale, rectilinear faults and margins to discrete, competent mafic or felsic granulite blocks (i.e. at high angles to most regional mapped structures and sub-province boundaries) with little to no surface expression that are spatially associated with lode ('orogenic') Au and Ni-Cu-PGE-Cr occurrences. Statistical and machine learning analysis of the Red Lake-Stormy Lake region in the W Superior Province confirms visual inspection for a greater correlation between Au deposits and these deep N-S structures than with mapped surface to upper crustal, generally E-W trending, faults and shear zones. Porphyry Au, Ni, Mo and U-Th showings are also located above these deep transverse faults. Several well defined concentric circular to elliptical structures identified in the Oxford Stull and Island Lake domains along the S boundary of the N Superior proto-craton, intersected by N- to NNW striking extensional fractures and/or faults that transect the W Superior Province, again with little to no direct surface or upper crustal expression, are spatially associated with magmatic Ni-Cu-PGE-Cr and related mineralization and Au occurrences. The McFaulds Lake greenstone belt, aka. 'Ring of Fire', constitutes only a small, crescent-shaped belt within one of these concentric features above which 2736-2733 Ma mafic-ultramafic intrusions bodies were intruded. The Big Trout Lake igneous complex that hosts Cr-Pt-Pd-Rh mineralization west of the Ring of Fire lies within a smaller concentrically ringed feature at depth and, near the Ontario-Manitoba border, the Lingman Lake Au deposit, numerous Au occurrences and minor Ni showings, are similarly located on concentric structures. Preliminary magnetotelluric (MT) interpretations suggest that these concentric structures appear to also have an expression in the subcontinental lithospheric mantle (SCLM) and that lithospheric mantle resistivity features trend N-S as well as E-W. With diameters between ca. 90 km to 185 km, elliptical structures are similar in size and internal geometry to coronae on Venus which geomorphological, radar, and gravity interpretations suggest formed above mantle upwellings. Emplacement of mafic-ultramafic bodies hosting Ni-Cr-PGE mineralization along these ringlike structures at their intersection with coeval deep transverse, ca. N-S faults (viz. phi structures), along with their location along the margin to the N Superior proto-craton, are consistent with secondary mantle upwellings portrayed in numerical models of a mantle plume beneath a craton with a deep lithospheric keel within a regional N-S compressional regime. Early, regional ca. N-S faults in the W Superior were reactivated as dilatational antithetic (secondary Riedel/R') sinistral shears during dextral transpression and as extensional fractures and/or normal faults during N-S shortening. The Kapuskasing structural zone or uplift likely represents Proterozoic reactivation of a similar deep transverse structure. Preservation of discrete faults in the deep crust beneath zones of distributed Neoarchean dextral transcurrent to transpressional shear zones in the present-day upper crust suggests a 'millefeuille' lithospheric strength profile, with competent SCLM, mid- to deep, and upper crustal layers. Mechanically strong deep crustal felsic and mafic granulite layers are attributed to dehydration and melt extraction. Intra-crustal decoupling along a ductile décollement in the W Superior led to the preservation of early-formed deep structures that acted as conduits for magma transport into the overlying crust and focussed hydrothermal fluid flow during regional deformation. Increase in the thickness of semi-brittle layers in the lower crust during regional metamorphism would result in an increase in fracturing and faulting in the lower crust, facilitating hydrothermal and carbonic fluid flow in pathways linking SCLM to the upper crust, a factor explaining the late timing for most orogenic Au. Results provide an important new dataset for regional prospectively mapping, especially with machine learning, and exploration targeting for Au and Ni-Cr-Cu-PGE mineralization. Results also furnish evidence for parautochthonous development of the S Superior Province during plume-related rifting and cannot be explained by conventional subduction and arc-accretion models.
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Chejanovsky, Nor, Diana Cox-Foster, Victoria Soroker, and Ron Ophir. Honeybee modulation of infection with the Israeli acute paralysis virus, in asymptomatic, acutely infected and CCD colonies. United States Department of Agriculture, December 2013. http://dx.doi.org/10.32747/2013.7594392.bard.

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Honey bee (Apis mellifera) colony losses pose a severe risk to the food chain. The IAPV (Israeli acute paralysis virus) was correlated with CCD, a particular case of colony collapse. Honey bees severely infected with IAPV show shivering wings that progress to paralysis and subsequent death. Bee viruses, including IAPV, are widely present in honey bee colonies but often there are no pathological symptoms. Infestation of the beehive with Varroa mites or exposure to stress factors leads to significant increase in viral titers and fatal infections. We hypothesized that the honey bee is regulating/controlling IAPV and viral infections in asymptomatic infections and this control is broken through "stress" leading to acute infections and/or CCD. Our aims were: 1. To discover genetic changes in IAPV that may affect tissue tropism in the host, and/or virus infectivity and pathogenicity. 2. To elucidate mechanisms used by the host to regulate/ manage the IAPV-infection in vivo and in vitro. To achieve the above objectives we first studied stress-induced virus activation. Our data indicated that some pesticides, including myclobutanil, chlorothalonil and fluvalinate, result in amplified viral titers when bees are exposed at sub lethal levels by a single feeding. Analysis of the level of immune-related bee genes indicated that CCD-colonies exhibit altered and weaker immune responses than healthy colonies. Given the important role of viral RNA interference (RNAi) in combating viral infections we investigated if CCD-colonies were able to elicit this particular antiviral response. Deep-sequencing analysis of samples from CCD-colonies from US and Israel revealed high frequency of small interfering RNAs (siRNA) perfectly matching IAPV, Kashmir bee virus and Deformed wing virus genomes. Israeli colonies showed high titers of IAPV and a conserved RNAi pattern of targeting the viral genome .Our findings were further supported by analysis of samples from colonies experimentally infected with IAPV. Following for the first time the dynamics of IAPV infection in a group of CCD colonies that we rescued from collapse, we found that IAPV conserves its potential to act as one lethal, infectious factor and that its continuous replication in CCD colonies deeply affects their health and survival. Ours is the first report on the dominant role of IAPV in CCD-colonies outside from the US under natural conditions. We concluded that CCD-colonies do exhibit a regular siRNA response that is specific against predominant viruses associated with colony losses and other immune pathways may account for their weak immune response towards virus infection. Our findings: 1. Reveal that preventive measures should be taken by the beekeepers to avoid insecticide-based stress induction of viral infections as well as to manage CCD colonies as a source of highly infectious viruses such as IAPV. 2. Contribute to identify honey bee mechanisms involved in managing viral infections.
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Patil and Cerkovnik. PR-425-123722-R01 Internally Lined Steel Risers as an Alternative to CRAs. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2013. http://dx.doi.org/10.55274/r0010573.

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Carbon steel and low alloy steel are the common, cost effective materials of choice for design of production risers in deep water. They are, however, often challenged by high stress and fatigue loadings. When production fluids are corrosive and or sour, steel risers may not be feasible without the protection from corrosive effects. To mitigate degradation, the only proven solution to date is the use of corrosion resistant alloys (CRA), either in homogeneous or clad/lined steel pipe product. However, corrosion resistant alloys are very expensive and market supply is limited due to the number of developments worldwide requiring CRA solutions and the limited number mills capable of supplying the product. This study looks at the feasibility and current state of development of alternatives to clad steel in steel catenary risers (SCR). The study focuses on polymer liners and coatings as a way to prolong the life of the risers in corrosive hydrocarbon service. The study includes an industry survey of candidate liners and a risk assessment based on the threats and failure modes. FMECA is conducted on the more promising candidates. The gaps in the knowledge base are identified and a map of further qualification requirements is made. SCRs are currently fabricated with girth welds. However, there is significant amount of testing that indicates that mechanical connectors are a feasible alternative. The potential use of mechanical connectors in conjunction with a coating or liner solution to mitigate corrosion risks is also addressed.
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Haeckel, Matthias, and Peter Linke. RV SONNE Fahrtbericht/Cruise Report SO268 - Assessing the Impacts of Nodule Mining on the Deep-sea Environment: NoduleMonitoring, Manzanillo (Mexico) – Vancouver (Canada), 17.02. – 27.05.2019. GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, November 2021. http://dx.doi.org/10.3289/geomar_rep_ns_59_20.

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Cruise SO268 is fully integrated into the second phase of the European collaborative JPI-Oceans project MiningImpact and is designed to assess the environmental impacts of deep-sea mining of polymetallic nodules in the Clarion-Clipperton Fracture Zone (CCZ). In particular, the cruise aimed at conducting an independent scientific monitoring of the first industrial test of a pre-protoype nodule collector by the Belgian company DEME-GSR. The work includes collecting the required baseline data in the designated trial and reference sites in the Belgian and German contract areas, a quantification of the spatial and temporal spread of the produced sediment plume during the trials as well as a first assessment of the generated environmental impacts. However, during SO268 Leg 1 DEME-GSR informed us that the collector trials would not take place as scheduled due to unresolvable technical problems. Thus, we adjusted our work plan accordingly by implementing our backup plan. This involved conducting a small-scale sediment plume experiment with a small chain dredge to quantify the spatial and temporal dispersal of the suspended sediment particles, their concentration in the plume as well as the spatial footprint and thickness of the deposited sediment blanket on the seabed.
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Fromm, Hillel, Paul Michael Hasegawa, and Aaron Fait. Calcium-regulated Transcription Factors Mediating Carbon Metabolism in Response to Drought. United States Department of Agriculture, June 2013. http://dx.doi.org/10.32747/2013.7699847.bard.

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Original objectives: The long-term goal of the proposed research is to elucidate the transcription factors, genes and metabolic networks involved in carbon metabolism and partitioning in response to water deficit. The proposed research focuses on the GTLcalcium/calmodulinbindingTFs and the gene and metabolic networks modulated by these TFs in Arabidopsis thaliana. The specific objectives are as follows. Objective-1 (USA): Physiological analyses of GTL1 loss- and gain-of-function plants under water sufficient and drought stress conditions Objective 2 (USA / Israel-TAU): Characterizion of GTL target genes and bioinformatic analysis of data to eulcidate gene-network topology. Objective-3 (Israel-TAU): Regulation of GTLmediated transcription by Ca²⁺/calmodulin: mechanism and biological significance. Objective-4 (Israel-BGU): Metabolic networks and carbon partitioning in response to drought. Additional direction: In the course of the project we added another direction, which was reported in the 2nd annual report, to elucidate genes controlling drought avoidance. The TAU team has isolated a few unhydrotropic (hyd) mutants and are in the process of mapping these mutations (of hyd13 and hyd15; see last year's report for a description of these mutants under salt stress) in the Arabidopsis genome by map-based cloning and deep sequencing. For this purpose, each hyd mutant was crossed with a wild type plant of the Landsberg ecotype, and at the F2 stage, 500-700 seedlings showing the unhydrotropic phenotype were collected separately and pooled DNA samples were subkected to the Illumina deep sequencing technology. Bioinformatics were used to identify the exact genomic positions of the mutations (based on a comparison of the genomic sequences of the two Arabidopsis thaliana ecotypes (Columbia and Landsberg). Background: To feed the 9 billion people or more, expected to live on Earth by the mid 21st century, the production of high-quality food must increase substantially. Based on a 2009 Declaration of the World Summit on Food Security, a target of 70% more global food production by the year 2050 was marked, an unprecedented food-production growth rate. Importantly, due to the larger areas of low-yielding land globally, low-yielding environments offer the greatest opportunity for substantial increases in global food production. Nowadays, 70% of the global available water is used by agriculture, and 40% of the world food is produced from irrigated soils. Therefore, much needs to be done towards improving the efficiency of water use by plants, accompanied by increased crop yield production under water-limiting conditions. Major conclusions, solutions and achievements: We established that AtGTL1 (Arabidopsis thaliana GT-2 LIKE1) is a focal determinant in water deficit (drought) signaling and tolerance, and water use efficiency (WUE). The GTL1 transcription factor is an upstream regulator of stomatal development as a transrepressor of AtSDD1, which encodes a subtilisin protease that activates a MAP kinase pathway that negatively regulates stomatal lineage and density. GTL1 binds to the core GT3 cis-element in the SDD1 promoter and transrepresses its expression under water-sufficient conditions. GTL1 loss-of-function mutants have reduced stomatal number and transpiration, and enhanced drought tolerance and WUE. In this case, higher WUE under water sufficient conditions occurs without reduction in absolute biomass accumulation or carbon assimilation, indicating that gtl1-mediated effects on stomatal conductance and transpiration do not substantially affect CO₂ uptake. These results are proof-of-concept that fine-tuned regulation of stomatal density can result in drought tolerance and higher WUE with maintenance of yield stability. Implications: Accomplishments during the IS-4243-09R project provide unique tools for continued discovery research to enhance plant drought tolerance and WUE.
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