The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Why does task performance decrease with burst length? by Swathi Anil (17382903)

The results of linear mixed model. by Soheila Qanbari (20455173)

Survey tool development process. by Lisa Thiele (6468056)

“…The study specific survey tool was developed through a multistage process with healthcare consumer input during creation and testing.…”

Empirical model establishment process. by Hongqi Wang (2208238)

Contrasting Size Dependence of Photochemical Lifetimes of Polypropylene and Expanded Polystyrene Microplastics in Surface Waters by Ariana Patterson (22764051)

“…A linear relationship between SA:V and DOC accumulation rate was significant for EPS (<i>p</i> < 0.0001) and PP (<i>p</i> = 0.0086), suggesting SA-controlled reactions. …”

Sensory-evoked potentials of N80 and N150. by Soheila Qanbari (20455173)

Distribution of responses to vital signs. by Lisa Thiele (6468056)

“…The study specific survey tool was developed through a multistage process with healthcare consumer input during creation and testing.…”

Respondent characteristics. by Lisa Thiele (6468056)

“…The study specific survey tool was developed through a multistage process with healthcare consumer input during creation and testing.…”

Primer sequences used for RT-PCR. by Jingjing Chen (293564)

“…Notably, SIRT1 levels decrease with age in both mice and during cellular senescence, highlighting its significance in anti-aging processes. …”

Supplementary Tables 1–8. by Juliane F. Tampé (19976538)

Age-related correlation of PBMCs percentages. by Juliane F. Tampé (19976538)

Age-dependent expression of <i>ANXA1</i> gene in monocytes and their subtypes. by Juliane F. Tampé (19976538)

Age-related correlation of PBMCs percentages in comparison between males and females. by Juliane F. Tampé (19976538)

Optimization of Linear Loading Strategy for Fuel Cell Initiation Based on Gaussian Process Regression Model (Supporting Information) by Jianbin SU (19730371)

Recruitment flow diagram of the current study. by Somayeh Momenyan (10111603)

“…</p><p>Conclusions</p><p>Clinicians should assess and address patients’ recovery expectations early in the care process, as these may significantly influence long-term HRQoL outcomes. …”

Three stages of abrasive cutting process. by Longfei Gao (698900)

“…At the same time, various deep learning models are utilized to conduct experiments on quality prediction in grinding processing. The experimental setup covers a variety of grinding parameters, including grinding wheel linear speed, grinding depth and feed rate, to ensure the accuracy and reliability of the model under different conditions. …”

CNN-LSTM action recognition process. by Longfei Gao (698900)

“…At the same time, various deep learning models are utilized to conduct experiments on quality prediction in grinding processing. The experimental setup covers a variety of grinding parameters, including grinding wheel linear speed, grinding depth and feed rate, to ensure the accuracy and reliability of the model under different conditions. …”

Fig 1 - Fusing multisensory signals across channels and time by Swathi Anil (17382903)

The performance of eigenvectors of the covariance matrix in a model with more complex population structure. by Joshua G. Schraiber (8027060)