Open-Water Disposal of Barged Sediments by Adams, E. Eric, Er, Jenn Wei, Law, Adrian Wing-Keung, Zhao, Bing

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Privacy: a political approach by Bogue, RC

“…It can thus be shown that a commitment to democracy entails a commitment to certain privacy rights—a finding that circumvents the difficulty in establishing a common basis for privacy protections by appealing to all citizens who live under democratic regimes. In abandoning familiar understandings of privacy, the political approach to privacy does away with the problematic emphasis on consent, adapts privacy to an ever-changing surveillance environment, addresses prominent critiques of privacy rights, and provides a common basis of justification for future privacy legislation. …”

Temporal evolution of mechanical properties in PDMS: A comparative study of elastic modulus and relaxation time for storage in air and aqueous environment by Zhang, Y, Adam, C, Rehnstrom, H, Contera, S

“…The identification of two distinct relaxation times suggests the involvement of two disparate material property regimes in the relaxation process, implying changes in the surface material composition at the interface with air/water. …”

Cognitive Systems and Signal Processing : 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25-27, 2020, Revised Selected Papers / by ICCSIP (Conference) (5th : 2020 : Zhuhai, China), organiser 642897, Sun, Fuchun, 1964-, editor 600994, Liu, Huaping, 1976-, editor 600996, Fang, Bin, editor 642896

High-throughput quantification of quasistatic, dynamic and spall strength of materials across 10 orders of strain rates by Eswarappa Prameela, Suhas, Walker, Christopher C, DiMarco, Christopher S, Mallick, Debjoy D, Sun, Xingsheng, Hernandez, Stephanie, Sasaki, Taisuke, Wilkerson, Justin W, Ramesh, KT, Pharr, George M, Weihs, Timothy P

“…The nanoindentation system is configured to test samples from quasistatic to dynamic strain-rate regimes. The LDMF shock system can test samples through impact loading, triggering spall failure. …”
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Urban street clusters: unraveling the associations of street characteristics on urban vibrancy dynamics in age, time, and day by Jang, Kee M., Suh, Hanew, Haddad, Fadi G., Sun, Maoran, Duarte, Fábio, Kim, Youngchul

“…In this study, we incorporate multi-source big data and combine a set of features that comprehensively describe the scale, function, and topology of street segments in two Seoul districts: Jung-gu and Gangnam-gu. …”
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Silicone 3D printing : process optimization, product biocompatibility, and reliability of silicone meniscus implants by Luis, Eric, Pan, Houwen Matthew, Sing, Swee Leong, Bastola, Anil Kumar, Goh, Guo Dong, Goh, Guo Liang, Tan, Joel Heang Kuan, Bajpai, Ram, Song, Juha, Yeong, Wai Yee

“…A novel custom-made 3D silicone printer and two-part Ecoflex silicone resins were used to 3D-print standard-shaped silicone coupon and irregular-shaped meniscus structures via a heat-cured extrusion-based method. This article is segmented into three parts: (1) study on the effect of 3D printing parameters on dimensional accuracy and mechanical properties of 3D-printed silicone, (2) reliability and failure analysis of 3D-printed silicone according to ASTM D575 standards under monotonic and cyclic compressive loading, and (3) cytotoxicity of 3D-printed silicone by extraction method according to ISO 10993-12 for different extraction time and extract volume/surface area ratios. …”
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Ultrasound-guided needle tracking with deep learning: a novel approach with photoacoustic ground truth by Hui, Xie, Rajendran, Praveenbalaji, Ling, Tong, Dai, Xianjin, Xing, Lei, Pramanik, Manojit

“…The evaluation of needle segmentation performance extends across previously unseen ex vivo data and in vivo human data (collected from an open-source data repository). …”
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A New Variational Method for Bias Correction and Its Applications to Rodent Brain Extraction by Chang, Huibin, Huang, Weimin, Wu, Chunlin, Huang, Su, Guan, Cuntai, Sekar, Sakthivel, Bhakoo, Kishore Kumar, Duan, Yuping

“…On the other hand, the results of brain extraction are compared against manually segmented gold standards, BET, BSE and 3-D PCNN based on a number of metrics. …”
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HiTrip: Historical trajectory interpolation for trawlers via deep learning on multi-source data by Zhao, Zhongning, Chen, Jiaxuan, Shi, Yuqi, Hong, Feng, Jiang, Guiyuan, Huang, Haiguang, Zhao, Jinhua

“…The proposed deep learning model, integrating ResNet, LSTM, and MLP, seamlessly synthesizes spatial features from coarse fishing effort distributions, sea surface factor fields, and current fields, while accounting for the temporal relationships within trajectory segments. Evaluated on 1855 East China Sea trawler VMS records and Copernicus Climate Data Store hydrological factor data, HiTrip achieves a 0.20 km interpolation error, meeting a finery 0.005° × 0.005°spatial resolution demand for fishing effort distribution analysis. …”
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Advanced Reconstruction Techniques for CUORE: Searching Beyond the Standard Model with Cryogenic Calorimeters by Mayer, Daniel W.

“…This work establishes methods and analysis techniques to treat CUORE as a segmented detector in aggregate, with a focus towards identifying and reconstructing track-like signatures induced by high-energy through-going particles traversing the detector array. …”
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Multi-bounce Returns for Specular Surface Mapping from Consumer-grade Flash LiDAR by Lin, Tsung-Han

“…In addition to 3D reconstruction, we show multi-bounce returns help to enhance performances on applications such as segmentation and novel view synthesis. Our method can be combined with these state-of-the-art learned-based model, enhancing its robustness by discerning ambiguous scenarios. …”
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Phonetic Faithfulness in Phonological Opacity by Kim, Yeong-Joon

“…The results of typological surveys encompassing 87 counterfeeding and 65 counterbleeding interactions across languages support this prediction, revealing that opacified processes are subject to a narrow range of markedness conditions, such as coarticulatory assimilation (e.g., palatalization) and durational adjustments (e.g., segmental weakening). Other types of phonological processes, particularly non-natural ones, are only rarely, if ever, opacified. …”
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Know Thy Cell-Free DNA: Early Detection of Microsatellite Instability Using Ultra-Low-Pass Cell-Free DNA Sequences by Lu, Nicole

“…Microsatellites are short segments of repeated DNA motifs (i.e., base pair patterns) that are widespread in our genomes. …”
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Game of drones by Wei, LuoBin

“…Augmentation of data-points within gate position via gate segmentation for a more effective trajectory planning is also explored. …”
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Deep learning-based algorithm for synthetic aperture radar despeckling by Wang, Yuxuan

“…However, SAR images inherently suffer from speckle noise, which severely hinders the effective implementation of subsequent tasks such as image segmentation and target detection. Therefore, research on SAR image denoising and target detection technologies is of great significance. …”
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Universal machine learning classifier using extreme learning machines by Chen, Jinnan

“…Also, it can give us some accurate prediction based on the currently collected data and then automatically realize the objective of trend prediction, pattern recognition or segmentation like the development of autonomous vehicles, or the stock market forecasting. …”
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Flood risk analysis under consideration of river system dynamics and spatial temporal scales by Oliver, Julien

“…The risk-based approach, which quantifies both flooding frequencies and impacts, offers opportunities to design cost-efficient strategies to address all segments of the risk management cycle. While theoretically well established, current methods to quantify flood risks usually fail to capture adequately spatial and temporal dynamics of flood risks. …”
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Image processing and machine learning techniques for Chagas disease detection and identification by Rada, Lavdie, Azzawi, Inass, Kumar, Preet, Brito-Loeza, Carlos Francisco, Karabağ, Cefa, Reyes-Aldasoro, Constantino C.

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Functional characterisation of multiple sclerosis-­associated single nucleotide polymorphisms in the Eomesodermin region by Leach, O

“…SNPs in two such non-coding DNA segments upstream of the <em>EOMES</em> gene, encoding Eomesodermin (Eomes) have been consistently associated with MS, as well as with the two other autoimmune diseases rheumatoid arthritis (RA) and ankylosing spondylitis (AS). …”