Mechanistic insights into pachymic acid’s action on triple-negative breast Cancer through TOP2A targeting by Ming Liu, Li Zheng, Yang Zhang, Jinhui Tian

“…The related targets of PA were predicted and screened using the following 6 databases: Swiss Target Prediction, HERB (Herbal Medicine Database), ETCM (Encyclopedia of Traditional Chinese Medicine), BATMAN (Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine), HIT (Herb Ingredients’ Targets Database), and PharmMapper. …”
Get full text

Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis by Lichao Fan, Xiaoting Yu, Ziling Huang, Shaoqiang Zheng, Yongxin Zhou, Hanjing Lv, Yu Zeng, Jin-Fu Xu, Xuyou Zhu, Xianghua Yi

“…A microRNA-mediated regulatory network among the DE-miRNAs and DEGs was constructed that might shed new light on potential biomarkers for the prediction of IPF progression.…”
Get full text

Serum Albumin Is Independently Associated with Persistent Organ Failure in Acute Pancreatitis by Wandong Hong, Suhan Lin, Maddalena Zippi, Wujun Geng, Simon Stock, Zarrin Basharat, Bicheng Cheng, Jingye Pan, Mengtao Zhou

“…It may also be useful for the prediction of the severity of acute pancreatitis.…”
Get full text

Analysis of a Family with Brugada Syndrome and Sudden Cardiac Death Caused by a Novel Mutation of SCN5A by Yao-Bin Zhu, Jian-Hui Zhang, Yuan-Yuan Ji, Ya-Nan Hu, Han-Lu Wang, Dan-Dan Ruan, Xiao-Rong Meng, Xin-Fu Lin, Jie-Wei Luo, Wei Chen

“…Among the surviving family members, only those with a Brugada wave on their electrocardiogram carried the c.4313dup(p.Trp1439ValfsTer32) variant. Bioinformatics prediction revealed that the frameshift of the c.4313dup (p.Trp1439ValfsTer32) mutant led to a coding change of 32 amino acids, followed by a stop codon, resulting in a truncated protein product. …”
Get full text

The effects of SN Ps in the regions of positioning RNA polymerase II on the TBP/promoter affinity in the genes of human circadian clock by O. A. Podkolodnaya, D. A. Rasskazov, N. L. Podkolodnyy, N. N. Podkolodnaya, V. V. Suslov, L. K. Savinkova, P. M. Ponomarenko, M. P. Ponomarenko

“…The SNP_TATA_Comparator web service was used for prediction of the effect of SNPs in the regions of positioning of RNA polymerase II on the dissociation constant for TBP / promoter. …”
Get full text

Correlation of Clinical Severity and Laboratory Parameters with Various Serotypes in Dengue Virus: A Hospital-Based Study by Pooja Rao, Achappa Basavaprabhu, Suchitra Shenoy, Nikhil Victor Dsouza, Basavaiah Sridevi Hanaganahalli, Vaman Kulkarni

“…The clinical spectrum along with laboratory parameters such as ferritin, liver enzymes, platelet can be used as potential biomarkers in prediction of dengue severity. The data demonstrated will be useful in early detection and monitoring of the disease.…”
Get full text

Improvement in Analytical Methods for Determination of Sugars in Fermented Alcoholic Beverages by Ayalew Debebe, Shibru Temesgen, Mesfin Redi-Abshiro, Bhagwan Singh Chandravanshi, Estifanos Ele

“…The MIR-PLS method was found to give good prediction of individual sugars: glucose, fructose, sucrose, and maltose in the alcoholic beverages with less than 4% error. …”
Get full text

Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks by Natarajan Yuvaraj, Kannan Srihari, Selvaraj Chandragandhi, Rajan Arshath Raja, Gaurav Dhiman, Amandeep Kaur

“…The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. …”
Get full text

Fear of Pain as a Predictor for Postoperative Pain Intensity among the Patients Undergoing Thoracoscopic Surgery by Yang Luo, Jingting He, Lihong Bao, Heng Meng, Cuihuan Hu, Quan Chen

“…FOP-9 and PCS showed significant positive prediction effect on worst pain. Conclusions. Both trait FOP and state FOP were associated with higher postoperative pain reports after thoracic surgery. …”
Get full text

Accelerating AI-Based Battery Management System’s SOC and SOH on FPGA by Satyashil D. Nagarale, B. P. Patil

“…The BiLSTM can predict the SOC of the 18650PF lithium battery cell with MAE smaller than 0.012% for training and 0.016% for testing. …”
Get full text

Pregnancy-Associated Plasma Protein-A: Its Significance as a Single Biomarker for Adverse Obstetric Outcomes by Madhusudan Dey, Priyanshi Choudhury, Sunil Chawla, Pranjali Dhume, Suyash Goel, Ankur Shah, Mounica Gowda KN

“…Further research would help the fraternity in developing a prediction model. …”
Get full text

Temperature-dependent performance and constitutive modeling of additively manufactured Ti600 alloy by Tianhua Wen, Rui Fu, Sihang Xiao, Lei Zhang, Bo Song, Hongshuai Lei

“…Compared to the conventional Johnson-Cook constitutive model, the BTD model demonstrates superior accuracy in predicting stress-strain behavior at elevated temperatures. …”
Get full text

Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…With the acceleration of industrialization and the increase in the complexity of equipment, it is particularly important to accurately predict and effectively maintain equipment failures. …”
Get full text

Research on Lean Planning and Optimization for Precast Component Production Based on Discrete Event Simulation by Zhenmin Yuan, Yaning Qiao, Yaru Guo, Yaowu Wang, Chen Chen, Wenshun Wang

“…Component factories are experiencing the problems associated with lean production, especially the accuracy of production time prediction and the unnecessary waste in terms of time and resource utilization. …”
Get full text

Effect of HBeAg/anti-HBe coexistence on HBeAg seroconversion in treatment-naïve chronic hepatitis B patients with peginterferon-α by Kaimin Song, Huitong Wang, Dawu Zeng, Yunyun Qian, Zhixiang Guo, Huatang Zhang, Yijuan Zheng, Yongjun Zhou, Xueping Yu, Zhijun Su

“…The nomogram for the prediction of HBeAg seroconversion was constructed and evaluated. …”
Get full text

Exploring digital health interventions for pregnant women at high risk for pre-eclampsia and eclampsia in low-income and-middle-income countries: a scoping review by Emily Seto, Anam Shahil Feroz, Noreen Afzal

“…Of nine unique digital health interventions, two served the purpose of predicting risk for adverse maternal health outcomes while seven focused on monitoring high-risk pregnant women for PE/E. …”
Get full text

Integrating cellular automata Markov model to simulate future land use change of a tropical basin by M. Camara, N.R.B. Jamil, A.F.B. Abdullah, R.B. Hashim

“…Predicting land use change is an indispensable aspect in identifying the best development and management of land resources and their potential. …”
Get full text

Potential Extensions of the US FRAX Algorithm by L. Joseph Melton, Elizabeth J. Atkinson, Sara J. Achenbach, John A. Kanis, Terry M. Therneau, Helena Johansson, Sundeep Khosla, Shreyasee Amin

“…The addition of risk factors not currently included in FRAX did not appear to improve the accuracy of fracture risk prediction. FRAX may provide a conservative estimate of risk for major osteoporotic fractures, but it also predicts fractures generally.…”
Get full text

FORECASTING OF POTATO YIELD ESTIMATION BY SATELLITE BASED REMOTE SENSING TECHNIQUE by Mohammad Mukhlesur Rahman, Mohammad Amirul Islam, Md. Golam Mahboob, Nur Mohammad, Istiak Ahmed

“…The goal of the study was to construct a remotely sensed yield prediction model that used the high spatial resolution of Sentinel 2A and Landsat 8 satellite images to forecast potato yield one month ahead of harvest. …”
Get full text

Application of alternative <i>de novo</i> motif recognition models for analysis of structural heterogeneity of transcription factor binding sites: a case study of FOXA2 binding sit... by A. V. Tsukanov, V. G. Levitsky, T. I. Merkulova

“…Although the major fraction of predicted peaks contained TFBS of different models with coincided positions, the medians of the fraction of peaks containing the predictions of sole models were 1.08, 0.49, 4.15 and 1.73 % for PWM, diPWM, BaMM and InMoDe, respectively. …”
Get full text