Image_4_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF by David B. Parker (1890751)

“…We conclude that STC is a critical part of the preprocessing pipeline that can be extremely beneficial for fMRI processing. However, its effectiveness interacts with other preprocessing steps and with other scan parameters and conditions which may obscure its significant importance in the fMRI processing pipeline.…”

Image_2_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF by David B. Parker (1890751)

“…We conclude that STC is a critical part of the preprocessing pipeline that can be extremely beneficial for fMRI processing. However, its effectiveness interacts with other preprocessing steps and with other scan parameters and conditions which may obscure its significant importance in the fMRI processing pipeline.…”

Image_3_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF by David B. Parker (1890751)

“…We conclude that STC is a critical part of the preprocessing pipeline that can be extremely beneficial for fMRI processing. However, its effectiveness interacts with other preprocessing steps and with other scan parameters and conditions which may obscure its significant importance in the fMRI processing pipeline.…”

Table_1_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.DOCX by David B. Parker (1890751)

“…We conclude that STC is a critical part of the preprocessing pipeline that can be extremely beneficial for fMRI processing. However, its effectiveness interacts with other preprocessing steps and with other scan parameters and conditions which may obscure its significant importance in the fMRI processing pipeline.…”

Image_1_The Benefit of Slice Timing Correction in Common fMRI Preprocessing Pipelines.TIF by David B. Parker (1890751)

“…We conclude that STC is a critical part of the preprocessing pipeline that can be extremely beneficial for fMRI processing. However, its effectiveness interacts with other preprocessing steps and with other scan parameters and conditions which may obscure its significant importance in the fMRI processing pipeline.…”

Data_Sheet_1_XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier.PDF by Sahand Somi (16976064)

“…This method serves as an operator-centric tool, addressing the domains of oil and gas, well completion, sliding sleeves, time series classification, signal processing, XGBoost, and hidden Markov models. …”

Increasing gaps and decreasing returns attenuate spending effects. by William Minozzi (8564712)

Parameters used for fs & ns LIBS signal generation. by Hongbin Choi (15401455)

Subjects:

Data_Sheet_1_Mapping the time-varying functional brain networks in response to naturalistic movie stimuli.docx by Limei Song (5600075)

“…Studying the dynamic functional brain networks (DFNs) and their role in perception, assessment, and action can significantly advance our comprehension of how the brain responds to patterns of sensory input. …”

Signal time interval in the 1C discharge stage of each group. by Peijian Jin (22265437)

Subjects:

The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01). by Yunmeng Da (707943)

The raw time domain data captured from the sensor vs the time domain data when a custom high pass filter was applied. by Upekha Delay (11127551)

Table_1_Improving Real-Time Brain State Classification of Motor Imagery Tasks During Neurofeedback Training.docx by Epifanio Bagarinao (690384)

Microglial process dynamics and injury-induced process recruitment are altered by bumetanide. by Krisztina Tóth (12009827)

“…(<b>D)</b> Evaluation of microglial process coverage over time in the lesion-centered circular area generated by a custom image analysis pipeline. …”

Results of the new test and other considered here tests for normality for two real-world datasets at significance levels of <i>c</i> = 0.01 and <i>c</i> = 0.05. by Agnieszka Wyłomańska (8963654)

Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

Autophagy significantly increases RGCs loss. by Hongmei Qian (538647)

Increased connectivity in the red lines and decreased connectivity in the blue lines. by Tomoki Kaneko (9113490)

“…There is no significant increase/decrease in each seed.</p>…”

Data_Sheet_1_Reliability of MUSE 2 and Tobii Pro Nano at capturing mobile application users' real-time cognitive workload changes.docx by Limin Zhang (297459)

Hyperplasia of the suboccipital muscles significantly increased intracranial pressure. by Chan Li (433717)

Subjects: