Functional Remediation Improves Serum BDNF and TrkB Levels in Euthymic Patients with Bipolar Disorder: A Randomized Trial Study by Li R, Li J, Ji SS, Li D, Chu L, Zhang J, Sun X, Luo X, Zhang Y

“…Ru Li,1,* Jiaxin Li,1,* Shiyi Suzy Ji,2 Dazhi Li,1 Lijun Chu,1 Jian Zhang,1 Xia Sun,1 Xingguang Luo,3 Yong Zhang1 1Unit of Bipolar Disorder, Tianjin Anding Hospital, Tianjin, People’s Republic of China; 2Department of Counseling and Clinical Psychology, Teachers College, Columbia University, NY, New York, USA; 3Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA*These authors contributed equally to this workCorrespondence: Yong Zhang, Unit of Bipolar Disorder, Tianjin Anding Hospital, 13 Liulin Road, Hexi District, Tianjin, 300222, People’s Republic of China, Tel/Fax +86 22 8818 8258, Email zhangyong@tjmhc.comPurpose: We aimed to verify the impact of functional remediation (FR) on serum brain-derived neurotrophic factor (BDNF) and tyrosine kinase receptor B (TrkB) levels, to explore the biomechanism of FR intervention in patients with euthymic bipolar disorder (BD).Patients and Methods: This is a randomized controlled, 12-week intervention study with participants randomized into the FR group (n=39) and the treatment as usual group (TAU, n=42) at the 1∶1 ratio. 17-Hamilton Depression Rating Scale-17 (HDRS-17), Young Mania Rating Scale (YMRS), and Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) were used to assess affective symptoms and cognitive functioning both at baseline and week 12, respectively. …”
Get full text

Factors Influencing the Activities of Daily Living of Patients with Spinal Cord Injury in Community by Yiting XIE, Cai JIANG, Guanli XIE, Jia HUANG, Jingsong WU, Jing TAO

Get full text

Rancang Bangun Sistem Informasi Afiliasi Penjualan Tiket Seminar berbasis Website menggunakan Framework Laravel by Dimas Kurnia Pratama, Adi Suryaputra Paramita

“…System that develop using web application as ticket sales affiliation system to simplify the calculation and monitoring sales result.To develop the system, researcher used laravel framework which it is a ipen source framework based on PHP  languange, using a model view controller concepts. …”
Get full text

Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms by Zhang X, Xiong Y, Liu H, Liu Q, Chen S

“…Xiaofei Zhang,1,* Yonghong Xiong,2,* Huilan Liu,3 Qian Liu,4 Shubin Chen5 1Department of Gerontology, China Aerospace Science & Industry Corporation 731 hospital, Beijing, People’s Republic of China; 2Department of Cardiology, Beijing Feng Tai Hospital, Beijing, People’s Republic of China; 3Department of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, People’s Republic of China; 4Department of Cardiology, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, People’s Republic of China; 5Department of Intensive Care Unit, China Aerospace Science & Industry Corporation 731 hospital, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Qian Liu, Department of Cardiology, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 100 of Xianggang Road, Jiangan District, Wuhan, 430015, People’s Republic of China, Tel +86027-82433350, Email qian_liu1124@126.com Shubin Chen, Department of Intensive Care Unit, China Aerospace Science & Industry Corporation 731 hospital, No. 3 Zhen Gang Nan Li, Yun Gang Town, Feng Tai District, Beijing, 100074, People’s Republic of China, Tel +86010-68374065, Email 18610074016@163.comBackground: The aim of this study was to use five machine learning approaches and logistic regression to design and validate the acute kidney injury (AKI) prediction model for critically ill individuals with cardiogenic shock (CS).Methods: All patients who diagnosed with CS from the MIMIC-IV database, the eICU database, and Zhongnan hospital of Wuhan university were included in this study. …”
Get full text

POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger by Nindian Puspa Dewi, Ubaidi Ubaidi

“…Part Of Speech (POS) Tagging adalah dasar penelitian text processing, sehingga perlu untuk dibuat aplikasi POS Tagging Bahasa Madura untuk digunakan pada penelitian Natural Languange Processing lainnya. Dalam penelitian ini, POS Tagging dibuat dengan menggunakan Algoritma Brill Tagger dengan menggunakan corpus yang berisi 10.535 kata Bahasa Madura. …”
Get full text