Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach by Evers, Luc J. W., Raykov, Yordan P., Heskes, Tom M., Krijthe, Jesse H., Bloem, Bastiaan R., Little, Max A.

“…We used wrist accelerometer data and synchronous expert video annotations for the presence of tremor, captured during unscripted daily life activities in and around the participants’ own homes. …”
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16.423J Space Biomedical Engineering & Life Support, Fall 2002 by Newman, Dava J.

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Millimeter wave radar based non-contact vital life sign monitor by Zheng, WenBin

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Inhibiting liquid permeation into silicone rubber by superhydrophobic coating for prolonged service life by Liu, Shuming, Zhou, Ying, Zuo, Zhou, Liu, Shuqi, Wang, Qian, Chen, Zhong, Liang, Xidong

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The end of the “time of the streets”: temporality in the life course of a Russian ex-gangster by Stephenson, Svetlana, Safin, Rustem

“…We address the different times in Tsigan’s life – his childhood, youth and adulthood, his time on the streets, his decision to leave the gang and his reflexions and memories of his past as reconstructed through the narratives presented at two different points of his biography. …”
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Random walk models in the life sciences: including births, deaths and local interactions by Plank, M, Simpson, M, Baker, R

Life is uncertain: inherent variability exhibited by organisms, and at higher levels of biological organization by Bull, JW

“…Important practical implications arise if organisms can indeed be defined by an association with specific classes of inherent uncertainty: not least that isolating those signatures then provides a potential means for detecting life, for considering the forms that life could theoretically take, and for exploring the wider limits to how life might become distributed. …”

Proterozoic microfossils continue to provide new insights into the rise of complex eukaryotic life by Anderson, RP, Mughal, S, Wedlake, GO

Visualising human life in volumetric cities: city digital twins and other disasters by Rose, G

“…This paper examines how CDTs visibly coconstitute a number of digitally-mediated forms of human life, including its user and its human inhabitants. …”

Burnout in humanitarian work: A qualitative study on the life experiences of workers in Malaysia by Cheong, Sue Jen, Ng, Chong Guan, Shoesmith, Wendy Diana, Yau Koh, Eugene Boon, Ping Pang, Nicholas Tze, Wider, Walton, Udang, Lester Naces

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Repeat expansion detection in neurodegenerative diseases with CRISPR/Cas9-targeted long read sequencing by Phua, Kimberly

“…Neurodegenerative diseases are broadly characterised by degeneration and loss of neurons in the brain over time which affects the quality of life of affected individuals. Recently, new associations of repeat expansions with various neurodegenerative diseases have been reported and point to a landscape of genomic alterations that have not been well-studied in neurodegenerative diseases. …”
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In vitro evaluation of oral contraceptives on long-tailed macaque (Macaca fascicularis) primary ovarian cells by Muhammed, Mikail, Tengku Azizan, Tengku Rinalfi Putra, Mohd Noor, Mohd Hezmee, Abu Hassim, Hasliza, Che'Amat, Azlan, Saleh, Annas Bin, Han, Mark Hiew Wen, Ab Latip, Mohd Qayyum

“…Risks of increased zoonosis and conflict are imminent if the population growth of long-tailed macaques is unchecked. However, there's a gap in the literature about the effect of hormonal contraceptives on long-tailed macaque reproductive tissues cell line. …”
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Molecular dynamics simulation: effect of sulfation on the structure of curdlan triple helix in aqueous solution by Gao, Yufu, Feng, Xuan, Zhang, Ran, Xiao, Jie, Huang, Qingrong, Li, Jiawei, Shi, Tongfei

Subjects: “…Medicine, Health and Life Sciences…”
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Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

“…This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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Design of a long-term memory genetic toggle switch inspired by chromatin modification circuits by Kwon, Ukjin, Huang, Hsin-Ho, Vecchio, Domitilla Del

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Simulation of dwell-to-penetration transition for SiC ceramics subjected to impact of tungsten long rods by Yuan, Jianming, Tan, Geoffrey Eng Beng, Goh, Wei Liang

“…For a ceramic armour impacted by a long rod projectile, increasing the dwell-to-penetration transition velocity significantly improves its ballistic performance, whereas it can be achieved by prestressing of the ceramic or placing a buffer over the impact surface. …”
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Long electron-hole diffusion length in high-quality lead-free double perovskite films by Ning, Weihua, Wang, Feng, Wu, Bo, Lu, Jun, Yan, Zhibo, Liu, Xianjie, Tao, Youtian, Liu, Jun-Ming, Huang, Wei, Fahlman, Mats, Hultman, Lars, Sum, Tze Chien, Gao, Feng

“…These high-quality double perovskite films show long electron-hole diffusion lengths greater than 100 nm, enabling the fabrication of planar structure double perovskite solar cells. …”
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China's exchange rate system reform : two potential mistakes and the recommended long-term system by Yip, Paul Sau Leong

“…Further to the author's recommended transitory and medium-term exchange rate system reforms that was implemented in China since July 2005, this paper explains that: (1) a long-term reform towards a floating exchange rate system with free capital mobility will cause huge damages to the Chinese economy. …”
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Spatial organization of long-term depression in mouse hippocampal schaffer collateral : CA1 synapses. by Chan, Jasmine Ee Teng.

“…Long-term depression (LTD) is a form of long-lasting synaptic plasticity that has been postulated to serve as a neural mechanism for memory and learning. …”
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Graph attention informer for long-term traffic flow prediction under the impact of sports events by Song, Yaofeng, Luo, Ruikang, Zhou, Tianchen, Zhou, Changgen, Su, Rong

“…However, due to the complexity of traffic maps and external factors, such as sports events, these models cannot perform well in long-term prediction. In order to enhance the accuracy and robustness of the model on long-term time series prediction, a Graph Attention Informer (GAT-Informer) structure is proposed by combining the graph attention layer and informer layer to capture the intrinsic features and external factors in spatial-temporal correlation. …”
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