Biometric contrastive learning for data-efficient deep learning from electrocardiographic images by Sangha, V, Khunte, A, Holste, G, Mortazavi, BJ, Wang, Z, Oikonomou, EK, Khera, R

“…</p> <p><strong>Materials and Methods:&nbsp;</strong>Using pairs of ECGs from 78 288 individuals from Yale (2000-2015), we trained a convolutional neural network to identify temporally separated ECG pairs that varied in layouts from the same patient. …”

Enhancing an English/Korean dictionary by Bond, Francis, Paik, Kyonghee.

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Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases by Qin, Yuting

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Designing Electricity Distribution Network Tariffs for Beneficial Electrification by Turk, Graham

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Compact wideband wide-angle van atta retroreflector with suppressed structural mode by Yan, Libin, Shen, Zhongxiang

“…The proposed Van Atta retroreflector is composed of eight radiating elements interconnected in pairs with a planar feeding network of microstrip lines. …”
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'(Un)richtige Aufnahme': Renaissance sculpture and the visual historiography of art history by Johnson, GA

Plant-soil and biotic interactions in tropical forests by Collins, Colton Lawrence Edward Iolani

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Pick one, but be quick : 5' splice sites and the problems of too many choices by Roca, Xavier, Krainer, Adrian R., Eperon, Ian C.

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Comparison of a simplified skin pointer device compared with a skeletal marker for knee rotation laxity : a cadaveric study using a rotation-meter by Puah, Ken Lee, Yew, Andy Khye Soon, Chou, Siaw Meng, Lie, Denny Tijauw Tjoen

“…Rotational forces of 3, 6 and 9 nm applied at 0°, 30°, 45°, 60° and 90° of knee flexion were analysed using the Pearson correlation coefficient and paired t-test. RESULTS : Total rotation recorded with the skin pointer significantly correlated with the bone marker at 3 nm at 0° (skin pointer 23.9 ± 26.0° vs bone marker 16.3 ± 17.3°, r = 0.92; P = 0.0), 30° (41.7 ± 15.5° vs 33.1 ± 14.7°, r = 0.63; P = 0.037), 45° (49.0 ± 17.0° vs 40.3 ± 11.2°, r = 0.81; P = 0.002), 60° (45.7 ± 17.5° vs 34.7 ± 9.5°, r = 0.86; P = 0.001) and 90° (29.2 ± 10.9° vs 21.2 ± 6.8°, r = 0.69; P = 0.019) of knee flexion and 6 nm at 0° (51.1 ± 37.7° vs 38.6 ± 30.1°, r = 0.90; P = 0.0), 30° (64.6 ± 21.6° vs 54.3 ± 15.1°, r = 0.73; P = 0.011), 45° (67.7 ± 20.6° vs 55.5 ± 9.5°, r = 0.65; P = 0.029), 60° (62.9 ± 22.4° vs 45.8 ± 13.1°, r = 0.65; P = 0.031) and 90° (43.6 ± 17.6° vs 31.0 ± 6.3°, r = 0.62; P = 0.043) of knee flexion and at 9 nm at 0° (69.7 ± 40.0° vs 55.6 ± 30.6°, r = 0.86; P = 0.001) and 60° (74.5 ± 27.6° vs 57.1 ± 11.5°, r = 0.77; P = 0.006). …”
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Lighting transfer across multiple views through local color transforms by Zhang, Qian, Laffont, Pierre-Yves, Sim, Terence

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Efficient personal-health-records sharing in internet of medical things using searchable symmetric encryption, blockchain, and IPFS by Bisht, Abhishek, Das, Ashok Kumar, Niyato, Dusit, Park, Youngho

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A compact dual-polarized Vivaldi antenna with high gain for tree radar applications by Cheng, Kaixuan, Lee, Yee Hui, Qian, Jiwei, Lee, Daryl, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C.

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CO-CREATE FINANCIAL PLANNING SERVICES FOR AN AGING POPULATION: DESIGNERS' PERSPECTIVES by Lee, Sheng-Hung, Coughlin, Joseph F, Yang, Maria, de Weck, Olivier L, Lee, Chaiwoo, Klopfer, Eric, Ochsendorf, John

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AI Comes Out of the Closet: Using AI-Generated Virtual Characters to Help Individuals Practice LGBTQIA+ Advocacy by Pillis, Daniel, Pataranutaporn, Pat, Maes, Pattie, Sra, Misha

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Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models by Luo, Jiayun

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Investigating whether executive functioning, working memory capacity, & long-term memory can be improved by cognitive training by Lim, Ming Ze

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What causes the low viscosity of ether-functionalized ionic liquids? Its dependence on the increase of free volume by Chen, Zhengjian, Xue, Tong, Lee, Jong-Min

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Slip deficit in central Nepal: omen for a repeat of the 1344 AD earthquake? by Bollinger, L., Tapponnier, Paul, Sapkota, S. N., Klinger, Y.

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Synthesizing photorealistic images with deep generative learning by Zheng, Chuanxia

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The impact of musical fit and sound design on consumers’ perception of a luxury car ad by Sze Yeoh, JP, Han, MG, Spence, C

“…The results revealed that participants perceived the car’s power, driving excitement and engine technology to be highest when the ad was paired with sound effects. Meanwhile, participants perceived the car to be most elegant and indicated the highest price for the car when the ad was paired with classical music. …”