Current AAV-mediated gene therapy in sensorineural hearing loss by Jieyu Qi, Xiaolong Fu, Liyan Zhang, Fangzhi Tan, Nianci Li, Qiuhan Sun, Xiaojie Hu, Zuhong He, Ming Xia, Renjie Chai

Subjects: “…Hearing loss…”
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The Effects of Controlled Drainage on N Concentration and Loss in Paddy Field by Bin Lu, Guangcheng Shao, Shuang’en Yu, Shiqiang Wu, Xinghua Xie

“…Compared to traditional drainage, PFCD reduced N loss in surface water by 95.6%, 78.7%, 59.6%, and 87.4% at the stage of tillering, jointing-booting, heading-flowering, and milking, respectively. …”
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Effect of Braking Conditions on Wear Loss of the Disc Drake Pad by Zhao Xiaohui, Huan Kaixuan, Zhang Zhijie, Yang Wenbin, Hu Sheng

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Managing in Tough Times: Downsized — Job Loss and Retirement Plans by Brandon Butcher, Michael S. Gutter, Brent Litchfield

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Ionospheric Turbulence: A Challenge for GPS Loss of Lock Understanding by P. De Michelis, G. Consolini, A. Pignalberi, G. Lovati, M. Pezzopane, R. Tozzi, F. Giannattasio, I. Coco, M. F. Marcucci

“…In the equatorial belt, this happens in at least 75% of identified GPS loss of lock events that basically coincide with the occurrence of plasma bubbles.…”
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Succinate Dehydrogenase Loss in Familial Paraganglioma: Biochemistry, Genetics, and Epigenetics by Yeng F. Her, L. James Maher

“…Yet this is precisely the case for familial paraganglioma, a form of neuroendocrine malignancy caused by loss of succinate dehydrogenase in the tricarboxylic acid cycle. …”
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Lithium loss from pegmatites controlled by country rock temperature by Julia Neukampf, Ben S. Ellis

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Pinpointing Synaptic Loss Caused by Alzheimer’s Disease with fMRI by Adam M. Brickman, Scott A. Small, Adam Fleisher

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The Tax Treatment of Losses: Options for Reforms During the Corona Crisis by Reinald Koch, Dominika Langenmayr

“…Abstract Due to the corona pandemic, many companies will suffer losses in 2020. The German tax system treats profits and losses asymmetrically: Whereas profits are taxed immediately, losses do not generate immediate tax refunds. …”
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Advanced Compressor Loss Correlations, Part II: Experimental Verifications by M. T. Schobeiri

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Packet-Loss Modeling for Perceptually Optimized 3D Transmission by Anup Basu, Lihang Ying, Irene Cheng

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Improved S-bend optical waveguide loss formula verified by experiments by Ary Syahriar

“…In single mode guides, bending loss becomes significant as the radius of curvature reduces and is strongly dependent on the confinement of the guided mode, so that weakly guiding waveguides can tolerate only large radii of curvature. …”
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On Iterative Learning Control for Remote Control Systems with Packet Losses by Chunping Liu, Rong Xiong, Jianxin Xu, Jun Wu

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Bone Loss Triggered by the Cytokine Network in Inflammatory Autoimmune Diseases by Dulshara Sachini Amarasekara, Jiyeon Yu, Jaerang Rho

“…The network of inflammatory cytokines produced during chronic inflammation induces an uncoupling of bone formation and resorption, resulting in significant bone loss in patients with inflammatory autoimmune diseases. …”
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Method of constructing an anonymous graph based on information loss estimation by Jie SU, Shuai LIU, Zhi-yong LUO, Guang-lu SUN

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Fusion of Focal Loss’s cyber threat intelligence entity extraction by Yuanbo GUO, Yongfei LI, Qingli CHEN, Chen FANG, Yangyang HU

“…Cyber threat intelligence contains a wealth of knowledge of threat behavior.Timely analysis and process of threat intelligence can promote the transformation of defense from passive to active.Nowadays, most threat intelligence that exists in the form of natural language texts contains a large amount of unstructured data, which needs to be converted into structured data for subsequent processing using entity extraction methods.However, since threat intelligence contains numerous terminology such as vulnerability names, malware and APT organizations, and the distribution of entities are extremely unbalanced, the performance of extraction methods in general field are severely limited when applied to threat intelligence.Therefore, an entity extraction model integrated with Focal Loss was proposed, which improved the cross-entropy loss function and balanced sample distribution by introducing balance factor and modulation coefficient.In addition, for the problem that threat intelligence had a complex structure and a wide range of sources, and contained a large number of professional words, token and character features were added to the model, which effectively improved OOV (out of vocabulary) problem in threat intelligence.Experiment results show that compared with existing mainstream model BiLSTM and BiLSTM-CRF, the F1 scores of the proposed model is increased by 7.07% and 4.79% respectively, which verifies the effectiveness of introducing Focal Loss and character features.…”
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The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing by Robin Kurtz, Marco Kuhlmann

“…We show how structural constraints can make networks trained under this loss function diverge and propose a modified loss function that solves this problem. …”
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Learning to Live Through Loss: Helping Children Understand Death by Carolyn S. Wilken

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Loss Estimation for Kırşehir Province According to Different Earthquake Scenarios by Ercan Işık, Çoşkun Sağır, Zuhal Tozlu, Ümit Salim Ustaoğlu

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Distributed Asynchronous Fusion Algorithm for Sensor Networks with Packet Losses by Tianpeng Chu, Guoqing Qi, Yinya Li, Andong Sheng

“…Both local estimator and fusion estimator are developed by taking into account the random packet losses. The presented estimation method improves local estimates and reduces the estimate disagreement. …”
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