Multi-branch sandwich piezoelectric energy harvester : mathematical modeling and validation by Li, Xiangyang, Yu, Kaiping, Upadrashta, Deepesh, Yang, Yaowen

“…The stiffness of sandwich harvester and consequently its resonant frequency can be tuned more flexibly than the CPEH by choosing different materials and adjusting the geometric dimensions of the core and skins. …”
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A robust 6-D pose tracking approach by fusing a multi-camera tracking device and an AHRS module by Wang, Zengwei, Dai, Houde, Zeng, Yadan, Lueth, Tim C.

“…When an occlusion occurs, a learning-based adaptive unscented Kalman filter (LAUKF) module can adaptively adjust noise estimation matrices in the unscented transformation according to the AHRS data, thereby significantly reducing the position estimation error. …”
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Information technology capability, supply chain practices and leagility: A systematic literature review by Mustafa Al Dirawi, Ammar Nazar, Khudari, Mohamed, Salina, Daud

“…Also, to help businesses adjust swiftly to market changes, while being efficient, information sharing, information quality, strategic supplier partnership, and postponement, are essential to leagile supply chain practices. …”
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Effect of immediate initiation of invasive ventilation on mortality in acute hypoxemic respiratory failure: a target trial emulation by Mellado-Artigas, Ricard, Borrat, Xavier, Ferreyro, Bruno L., Yarnell, Christopher, Hao, Sicheng, Wanis, Kerollos N., Barbeta, Enric, Torres, Antoni, Ferrando, Carlos, Brochard, Laurent

“…The hazard ratios for the primary outcome, one-year mortality, and the secondary outcome, 30-day mortality, were estimated using weighted Cox models with stabilized inverse probability weights used to adjust for measured confounding. …”
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Deformation and its surface expression in stressed planetary materials by Seltzer, Cassandra

“…When forces change within rocky and icy layers of planetary bodies, constituent materials of these layers adjust on the microscale; energetically favorable alignment of microstructural materials builds across scales to result in deformation, preferred directions for material transport and wave propagation, and heat release. …”
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Smart building with intelligent indoor lighting control system using reinforcement learning simulations by Chan, Keno Jia Nuo

“…Although the presence of wireless controls allows users to manually adjust the lighting intensity based on their preferences, this becomes a problem when there is more than one occupant in the environment due differences in lighting preferences. …”
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Study of marine power train system through mathematical modelling of various electro-mechanical components by Khor, Boon Siang

“…A PI controller is employed to adjust the total power output of diesel generator sets based on fluctuation in the system voltage. …”
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A mixed-reality approach to soundscape assessment of outdoor urban environments augmented with natural sounds by Hong, Joo Young, Lam, Bhan, Ong, Zhen-Ting, Ooi, Kenneth, Gan, Woon-Seng, Kang, Jian, Yeong, Samuel, Lee, Irene, Tan, Sze-Tiong

“…Participants were asked to adjust the natural sound levels to their preferred level under ambient traffic noise conditions at each location. …”
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Compositionally tuned hybridization of n-type Ag0: Ag2Se under ambient conditions towards excellent thermoelectric properties at room temperature by Tee, Si Yin, Ponsford, Daniel, Tan, Xian Yi, Wang, Xiaobai, Lay, Chee Leng, Lee, Coryl Jing Jun, Ni, Xi Ping, Seng, Debbie Hwee Leng, Thitsartarn, Warintorn, Guan, Guijian, Han, Ming-Yong

“…By prolonging reaction times, the synthetic process is carefully developed/optimized to adjust the excess of the Ag0 phase, in order to enhance the thermoelectric properties. …”
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Multi-scale and multiphase modeling of abrasive flow machining process with experimental validation by Mohamed Adel Abdelhakem Amen

“…Also, no need to pre-impose MR model since the simulation adjusts the force-MR relation smartly. • To study experimentally the particle-surface interaction: From open literature, no study is dictated to track the MR amount of individual particles in AFM process. …”
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Associations between post-operative rehabilitation of hip fracture and outcomes : national database analysis (90 characters) by Su, Bowen, Newson, Roger, Soljak, Harry, Soljak, Michael

“…We used ordinal logistic and propensity scoring regression models to adjust for confounding variables including age, sex, pre-fracture mobility, operative delay, and cognitive function and peri-operative risk scores. …”
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Robust pricing and production with information partitioning and adaptation by Perakis, Georgia, Sim, Melvyn, Tang, Qinshen, Xiong, Peng

“…Unlike the standard moment-based ambiguity set, we can adjust the level of robustness by varying the number of information clusters from being the most robust as the standard moment-based ambiguity set with one cluster to being the least robust as the empirical distribution. …”
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LKAW: a robust watermarking method based on large kernel convolution and adaptive weight assignment by Zhang, Xiaorui, Jiang, Rui, Sun, Wei, Song, Aiguo, Wei, Xindong, Meng, Ruohan

“…Because the magnitude and convergence rates of each loss function are different, an adaptive loss weight assignment strategy is proposed to make the weights participate in the network training together and adjust the weight dynamically. Further, a high-frequency wavelet loss is proposed, by which the watermarking is restricted to only the low-frequency wavelet sub-bands, thereby enhancing the robustness of watermarking against image compression. …”
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An optimized CFD-DEM method for fluid-particle coupling dynamics analysis by Yao, L. M., Xiao, Zhongmin, Liu, J. B., Zhang, Q., Wang, M.

“…The improved CFD-DEM method can automatically adjust the CFD time steps according to the convergence criteria. …”
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Data-driven distributionally robust CVaR portfolio optimization under a regime-switching ambiguity set by Pun, Chi Seng, Wang, Tianyu, Yan, Zhenzhen

“…Specifically, applying the proposed framework to portfolio selection problems helps investors respond promptly to the regime change in financial markets and adjust their portfolio allocation accordingly.…”
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Studies on high-frequency noise characteristics in deep submicron NMOSFETs by Zeng, Rong

“…The reduction of minimum noise figure with the increase in body bias may provide a possible methodology to finely adjust the device high-frequency noise performance for circuit design.…”
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Financial forecasting using meta-cognitive fuzzy neural networks by Singh Akhand Pratap

“…The setback identified in the project for the above stated problem is the way the prediction variables are calculated and the lack of automated mechanisms to adjust certain thresholds. Some potential ways to address the above issues could be usage of synthetic data through time-series models to train the model till the test date; usage of manual inferences drawn from the indicators to make judgements about the present day; usage of multiple machine learning models and combining the results from all; usage of dynamic feature selection mechanism to make improvements to the prediction; and usage of dynamic thresholds that are dependent on the market conditions. …”
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Cytomegalovirus infection is associated with an increase in aortic stiffness in older men which may be mediated in part by CD4 memory T-cells by Kirkham, Frances, Pera, Alejandra, Simanek, Amanda M., Bano, Aalia, Morrow, George, Reus, Bernhard, Caserta, Stefano, Smith, Helen Elizabeth, Davies, Kevin A., Rajkumar, Chakravarthi, Kern, Florian

“…Linear regression models were used to adjust for age, sex, socioeconomic status, smoking, waist-to-hip ratio, cholesterol, and blood pressure as required. …”
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Precious metal price prediction using deep neural networks by Peng, Zhiling

“…Therefore, how to predict the trend of the gold price effectively has been long concerned by researchers from many areas, and such prediction can be really helpful to control the risk of personal investment as well as adjust the national economic strategies in time. Nowadays, the mainstream gold price forecasting methods are machine learning methods, among which many regression models and the deep learning algorithms are widely accepted. …”
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Best practices for ports and shipping companies to build resilience against pandemics by Tan, Hui En

“…This will allow their employees to require less time to adjust when they have to work-from-home for long periods during subsequent pandemics. …”
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