Effects of extracorporeal shock wave therapy on motor function in patients with cerebral palsy: a systematic review and meta-analysis حسب Hui-Hui Peng (21503736)

"…In addition, spasticity significantly decreases, particularly with focused ESWT or ESWT targeting the upper limbs.…"

Table of Mann-Whitney test results on lectin microarray. حسب Yiying Zhang (198443)

Supplementary tables: Assessing healthcare resource utilization burden and unmet treatment needs in patients with Parkinson’s disease: results from a real-world study حسب Malgorzata Ciepielewska (22143499)

"…The intermediate versus early group had a significantly greater proportion of patients with unmet treatment needs (p < 0.001), e.g., slowing disease progression, providing neuroprotection. …"

Supplementary data: Assessing healthcare resource utilization burden and unmet treatment needs in patients with Parkinson’s disease: results from a real-world study حسب Malgorzata Ciepielewska (22143499)

"…The intermediate versus early group had a significantly greater proportion of patients with unmet treatment needs (p < 0.001), e.g., slowing disease progression, providing neuroprotection. …"

Table 1_Association between life’s crucial 9 and sarcopenia: estimated glucose disposal rate as a key mediator.doc حسب Xialian Tang (22319332)

"…In crude models, each 10-point increase in LC9 was associated with a 4.9% decrease in sarcopenia odds (OR: 0.951, p < 0.001). …"

Table 4_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

"…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"

Table 6_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

"…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"

Table 5_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

"…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"

Table 1_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

"…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"

Image 1_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.tif حسب Xinyi Song (2207233)

"…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"

Table 3_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

"…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"

Table 2_Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicenter longitudinal study.docx حسب Xinyi Song (2207233)

"…</p>Objective<p>To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months.…"

Thirty-day inpatient survival by admission serum sodium concentration: Kaplan-Meier analysis stratified by pre- and during-COVID-19 pandemic periods. حسب Rajkumar Rajendram (22505442)

Parameters of VMR separated by light or dark periods run at 6 dpf. حسب Morgan Barnes (7876373)

"…(E-H) VMR parameters in dnVDRa induced zebrafish at 48 hpf. There is a significant decrease in distance moved in the dark (p < 0.01) and light (p < 0.05) periods, a significant decrease in velocity in the dark (p < 0.05) and light (p < 0.01) periods, a significant decrease in activity state in the dark (p < 0.05) and light (p < 0.01) periods and a significant increase in distance to point in the light period (p < 0.01) in the 48 + fish. …"

PCA-CGAN model parameter settings. حسب Chao Tang (10925)

"…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"

MIT-BIH dataset proportion analysis chart. حسب Chao Tang (10925)

"…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"

Wavelet transform preprocessing results. حسب Chao Tang (10925)

"…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"

PCAECG_GAN. حسب Chao Tang (10925)

"…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"

MIT dataset expansion quantities and Proportions. حسب Chao Tang (10925)

"…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"

Experimental hardware and software environment. حسب Chao Tang (10925)

"…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …"