ContrastSense: domain-invariant contrastive learning for in-the-wild wearable sensing by Dai, Gaole, Xu, Huatao, Yoon, Hyungjun, Li, Mo, Tan, Rui, Lee, Sung-Ju

“…In addition, ContrastSense designs a parameter-wise penalty to preserve domaininvariant knowledge during fine-tuning to further maintain model robustness. …”
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Influence diffusion detection using the influence style (INFUSE) model by Tan, Luke Kien-Weng, Na, Jin-Cheon, Ding, Ying

“…While previous studies had focused on the existence of influence between linked bloggers in detecting influence diffusion, our INFUSE model is shown to provide a fine-grained description of the manner in which influence is diffused based on the bloggers’ influence styles.…”
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Localization and velocity tracking of human via 3 IMU sensors by Yuan, Qilong, Chen, I-Ming

“…In the method, a reference root point on the pelvis is chosen to represent the velocity and location of the person. Through acceleration fine tuning algorithm, the acceleration data is refined and combined with the velocity calculated from body kinematics to get a drift-free and accurate 3D velocity result. …”
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Statistical methods and analyses in autoimmune diseases by Inshaw, J

“…</p> <p>Finally, I performed an ImmunoChip-wide meta-analysis of 59, 974 individuals, approxi- mately twice the sample size of the previous largest T1D genetic analysis, and identified 74 chromosome regions associated with T1D, including 22 novel regions. I fine mapped each region and confirmed that prioritised variants were enriched in open chromatin re- gions in lymphoid cells. …”

Variational models in martensitic phase transformations with applications to steels by Muehlemann, A

“…</p> <p>In Chapter 4, we focus on highly compatible, so called self-accommodating, martensitic structures and present new results on their fine properties such as estimates on their minimum complexity and bounds on the relative proportion of each martensitic variant in them. …”

Optimization of surface roughness on duplex stainless steel in dry milling by Nurul Hidayah, Razak, Mohammad Rizal, Md Ali

“…An optimum machining parameters speed of cutting of 78.283 mm/min, rate of feed of 0.100 mm/tooth and axial depth of 0.834 mm is identified as the optimum values.…”
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Artificial neural network-salp-swarm algorithm for stock price prediction by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Azlan, Abdul Aziz

“…Before training, the dataset is normalized using the min-max normalization technique to reduce the influence of noise. …”
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Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation stud by Mones, Enys, Stopczynski, Arkadiusz, Pentland, Alex, Hupert, Nathaniel, Lehmann, Sune

“…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation study by Mones, Enys, Stopczynski, Arkadiusz, Pentland, Alex, Hupert, Nathaniel, Lehmann, Sune

“…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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Query lower bounds for log-concave sampling by Chewi, Sinho, de Dios Pont, Jaume, Li, Jerry, Lu, Chen, Narayanan, Shyam

“…In this work, we establish the following query lower bounds: (1) sampling from strongly log-concave and log-smooth distributions in dimension ≥ 2 requires Ω(log) queries, which is sharp in any constant dimension, and (2) sampling from Gaussians in dimension (hence also from general log-concave and log-smooth distributions in dimension) requires Ωe(min( √ log,)) queries, which is nearly sharp for the class of Gaussians. …”
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Systematic bandgap engineering of graphene quantum dots and applications for photocatalytic water splitting and Co2 reduction by Yan, Yibo, Chen, Jie, Li, Nan, Tian, Jingqi, Li, Kaixin, Jiang, Jizhou, Liu, Jiyang, Tian, Qinghua, Chen, Peng

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Floquet stroboscopic divisibility in non-Markovian dynamics by Bastidas, Victor M., Kyaw, Thi Ha, Tangpanitanon, Jirawat, Romero, Guillermo, Kwek, Leong-Chuan, Angelakis, Dimitris G.

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Nonlinear circuit quantum electrodynamics based on the charge-qubit–resonator interface by Yu, Deshui, Kwek, Leong Chuan, Amico, Luigi, Dumke, Rainer

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Proactively modulating mechanical behaviors of materials at multiscale for mechano-adaptable devices by Chen, Geng, Cui, Yajing, Chen, Xiaodong

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Molecular modulation of fluorene-dibenzothiophene-S,S-dioxide-based conjugated polymers for enhanced photoelectrochemical water oxidation under visible light by Dai, Chunhui, Gong, Xuezhong, Zhu, Xianglin, Xue, Can, Liu, Bin

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Study on the regulation of focal adesions and cortical actin by matrix nanotopography in 3D environment by Han, Jingjing, Lin, Keng-Hui, Chew, Lock Yue

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Arbitrary and independent polarization control in situ via a single metasurface by Yan, Libin, Zhu, Weiming, Muhammad Faeyz Karim, Cai, Hong, Gu, Alex Yuandong, Shen, Zhongxiang, Chong, Peter Han Joo, Tsai, Din Ping, Kwong, Dim-Lee, Qiu, Cheng-Wei, Liu, Ai Qun

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Self-assembly of three-dimensional CdS nanosphere/graphene networks for efficient photocatalytic hydrogen evolution by Wang, Zhijian, Liu, Zhi, Chen, Jiazang, Yang, Hongbin, Luo, Jianqiang, Gao, Jiajian, Zhang, Junming, Yang, Cangjie, Jia, Suping, Liu, Bin

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Second-harmonic generation in quaternary atomically thin layered AgInP2S6 crystals by Wang, Xingzhi, Du, Kezhao, Liu, Weiwei, Hu, Peng, Lu, Xin, Xu, Weigao, Kloc, Christian, Xiong, Qihua

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Three dimension (3D) hierarchical electrode (Au/rGO/CoPt3) for electrooxidation of ethanol in fuel cells by Huang, Kang, Peng, Dongdong, Zhang, Bowei, Cao, Xun, Hao, Shiji, Yang, Guang, Dong, Yibing, Wu, Junsheng, Huang, Yizhong

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