A Deep Shrinkage Network for Direction-of-Arrival Estimation with Sparse Prior by Lei Zhou, Shihong Zhou, Yubo Qi, Lixin Wu, Yannick Benezeth

“…Compared with existing methods, SDSR-Net achieved superior performance by effectively utilizing a sparsity prior, maintaining a high-resolution performance at signal-to-noise ratios higher than −10 dB. …”
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Can eDNA Replace Trawl Surveys for Estuarine Species Distribution Modeling: Insights From Collichthys lucidus in the Yangtze River Estuary by Xiaoyu Geng, Wei Tang, Jianhui Wu, Chunxia Gao, Xuefang Wang

“…The results showed that although eDNA and trawl data produced similar performance metrics (AUC, Kappa, RMSE), eDNA‐based models exhibited weaker spatial discrimination and inconsistent seasonal predictions, misidentifying offshore areas as unsuitable under certain conditions. …”
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Creating A Healthy Workplace in A Private Hospital: A Focus on Nursing and Job Satisfaction by Giovanni Iga Firmanda, Aries Wahyuningsih

“…However, in Indonesia, the conditions of the work environment and the implementation of professional nursing practices in private hospitals remain underexplored. …”
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Model-free reconstruction of excitatory neuronal connectivity from calcium imaging signals. by Olav Stetter, Demian Battaglia, Jordi Soriano, Theo Geisel

“…We find that the functional network topology revealed by Transfer Entropy depends qualitatively on the time-dependent dynamic state of the network (bursting or non-bursting). Thus by conditioning with respect to the global mean activity, we improve the performance of our method. …”
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RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems by Jiacheng Ni, Fang Li, Shuai Cao, Linsong Li

“…Furthermore, the optimization of the TOA algorithm validated the effectiveness of RIM-Net in localization, achieving an average performance improvement of 9.66%. This approach provides an effective solution for NLOS/LOS identification in complex channel conditions within UWB positioning systems.…”
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Reputational ranking of platform workers: on the gender discriminatory implications of users’ feedback by Elisa Parodi

“…To set minimum quality standards of service, platforms aggregate users’ feedback and form a reputational score for workers, which, often combined with other criteria, directly impacts their job opportunities and working conditions. The article questions whether this practice may constitute discrimination under the European Union equality law. …”
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Extreme outage prediction in power systems using a new deep generative Informer model by Razieh Rastgoo, Nima Amjady, Syed Islam, Innocent Kamwa, S.M. Muyeen

“…To this end, we propose an Adaptive Wasserstein Conditional Generative Adversarial Network for data generation. …”
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Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim by Ranu Agastya Nugraha, Hilman Ferdinandus Pardede, Agus Subekti

“…Since data for detecting health insurance fraud are tabular, we adopt Conditional Tabular GAN (CTGAN) architecture where generator is conditioned to be able to adjust the tabular data input and receive additional information in order to produce samples according to the specified class conditions. …”
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DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis by Zeeshan Ahmad, Shudi Bao, Meng Chen

“…Additionally, we enhance the discriminator network using deformable convolution to better distinguish between real and generated samples, further refining the audio quality. …”
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Speech sound processing deficits and training-induced neural plasticity in rats with dyslexia gene knockdown. by Tracy M Centanni, Fuyi Chen, Anne M Booker, Crystal T Engineer, Andrew M Sloan, Robert L Rennaker, Joseph J LoTurco, Michael P Kilgard

“…We tested the hypothesis that KIA- rats would be impaired at speech sound discrimination. KIA- rats needed twice as much training in quiet conditions to perform at control levels and remained impaired at several speech tasks. …”
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Risk factors analysis and prediction model construction of low cardiac output syndrome after off-pump coronary artery bypass grafting by Pengfei Guo, Lingjie Wang, Zheng Gao, Bin Wang, Wenlong Yan, Xingchi Qu, Sumin Yang

“…The selected features were then incorporated into a multivariate logistic regression model to establish the final predictor. Model performance was evaluated using the C-index (discrimination), calibration plots (calibration), and decision curve analysis (clinical validity). …”
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Development and validation of an interpretable nomogram for predicting the risk of the prolonged postoperative length of stay for tuberculous spondylitis: a novel approach for risk... by Parhat Yasin, Haopeng Luan, Cong Peng, Xinghua Song

“…The calibration graphs showed that the expected and observed probability of prolonged PLOS was in close agreement. Discrimination analysis yielded an area under the curve (AUC) of 0.867 (95% CI: 0.828–0.908) in the training set, indicating good predictive performance. …”
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Development and validation of a nomogram to predict depression in older adults with heart disease: a national survey in China by Xianghong Ding, Zijuan Shi, Liping Xiang, Qin Liu, Li Wu, Qingwen Long, Yujun Lee

“…The nomogram showed good clinical performance with an area under the curve (AUC) value of 0.816 (95% CI: 0.793 to 0.839). …”
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Adaptation and exogenous attention interact in the early visual cortex: A TMS study by Hsing-Hao Lee, Antonio Fernández, Marisa Carrasco

“…Critically, after adaptation, exogenous attention altered performance similarly in both distractor-stimulated and target-stimulated conditions. …”
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A Multiscale Chaotic Feature Extraction Method for Speaker Recognition by Jiang Lin, Yi Yumei, Zhang Maosheng, Chen Defeng, Wang Chao, Wang Tonghan

“…Our experimental results verified its good performance. Under clean speech and noise speech conditions, the ERR value of our method is reduced by 13.94% and 26.5% compared with the state-of-the-art method, respectively.…”
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CA19-9/DBil: a promising indicator to distinguish between CA19-9-elevated pancreatic head-type autoimmune pancreatitis and pancreatic head cancer by Wenfeng Xi, Wanying Liao, Tao Guo, Qingwei Jiang, Xiaoyin Bai, Xi Wu, Yunlu Feng, Shengyu Zhang, Dongsheng Wu, Qiang Wang, Aiming Yang

“…The study aimed to elucidate the performance of CA19-9/DBil in distinguishing between the two conditions. …”
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Effects of Physical Health, Mental Health, Social Environmental Factors, and Quality of Life on Social Participation of People With Physical Disabilities by Myoungsuk Kim, Seung Hee Ho, Hayeon Kim, Jaemin Park

“…ABSTRACT Introduction People with physical disabilities inevitably experience barriers to social participation, including physical limitations, health issues, stigma, discrimination, policies, and socio‐environmental factors. …”
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Revelation of Genotype × Environment Interaction in Linseed (Linum usitatissimum L.) Under Conventional and Natural Farming Production Systems in the North-Western Himalayas by Garima Thakur, Satish Paul, R. K. Gautam, Sapna Langyan

“…In terms of discriminating ability, the natural production system at Palampur showed the highest discrimination, whereas Dhaula Kuan was revealed as the least discriminating environment. …”
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Focusing attention in working and long-term memory through dissociable mechanisms by Dongyu Gong, Dejan Draschkow, Anna C. Nobre

“…We show that attentional orienting benefits performance for both WM and LTM, with stronger effects for WM. …”
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Experimental Protocol for Color Difference Evaluation Under Stabilized LED Light by Sofiane Vernet, Eric Dinet, Alain Trémeau, Philippe Colantoni

“…Finally, it introduces an experimental protocol for a color discrimination study that will be performed thanks to the contributions presented in this paper.…”
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