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Author:(Chun LONG)

1.Comparison of the effects of five Blastocystis sp. staining methods

Ao-kun ZHANG ; Long-fei CHEN ; Jing LI ; Hui-zhen YUAN ; Sen-yang LI ; Fu-chun JIAN

Acta Parasitologica et Medica Entomologica Sinica 2026;33(3):161-167,172

2.Research progress in mechanisms of herb pairs in treating ischemic stroke.

Shu ZHANG ; Chun-Long RAN ; Chi-Yuan MA ; Xiang-Zhe LIU

China Journal of Chinese Materia Medica 2025;50(8):2041-2049

3.Research Progressin Application of Ultrasound in the Diagnosis and Treatment of Greater Trochanteric Pain Syndrome.

Fan WU ; Yi MAO ; Chun-Bao LI ; Long-Tao YAN ; Ming-Bo ZHANG

Acta Academiae Medicinae Sinicae 2025;47(2):289-294

4.Construction of a Competency Evaluation Model for Forensic Practitioners

Jing-Chun BAO ; Jing-Jing ZHAO ; Jiao-Yong LI ; Jing-Hua MENG ; Xiao-Long WANG ; Xiao-Ni ZHAN ; Jun YAO ; Xu WU

Journal of Forensic Medicine 2025;41(4):371-379

5.Effect of the Otago Exercise Program on Activities of Daily Living in Older Adults With Sarcopenia

Yuxiang LIANG ; Renjie WANG ; Jiaojiao JIANG ; Liqiong WANG ; Long ZHANG ; Xueli CHUN ; Quan WEI

Journal of Sichuan University (Medical Sciences) 2025;56(2):543-548

6.Clinical value of plasma protein ARP2 in evaluating heatstroke prognosis based on proteomics

Qing-Bo ZENG ; Jing-Chun SONG ; Nian-Qing ZHANG ; Qing SONG ; Long-Ping HE ; Qing-Wei LIN ; Lin-Cui ZHONG ; Xing-Ping DENG

Medical Journal of Chinese People's Liberation Army 2025;50(9):1138-1145

7.Effect of warm acupuncture on PINK1/Parkin pathway in the skeletal muscle of rats with chronic fatigue syndrome

Huayuan LI ; Chun LI ; Junwei LIU ; Ting WANG ; Long LI ; Yongli WU

Chinese Journal of Tissue Engineering Research 2025;29(8):1618-1625

8.Theoretical discussion and research progress on treatment of glucocorticoid- induced osteoporosis with traditional Chinese medicine.

Ting-Ting XU ; Ying DING ; Xia ZHANG ; Long WANG ; Shan-Shan XU ; Chun-Dong SONG ; Wen-Sheng ZHAI ; Xian-Qing REN

China Journal of Chinese Materia Medica 2025;50(16):4437-4450

9.Explainable machine learning model for predicting septic shock in critically sepsis patients based on coagulation indexes: A multicenter cohort study.

Qing-Bo ZENG ; En-Lan PENG ; Ye ZHOU ; Qing-Wei LIN ; Lin-Cui ZHONG ; Long-Ping HE ; Nian-Qing ZHANG ; Jing-Chun SONG

Chinese Journal of Traumatology 2025;28(6):404-411

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