Topology-aware pathway analysis of spatial transcriptomics by Siras Hakobyan, Maria Schmidt, Hans Binder, Arsen Arakelyan

“…In this study, we address that gap by translating gene expression into pathway-level activity using the Pathway Signal Flow (PSF) algorithm. …”
Get full text

Strategic issues of raising international financing by A. A. Tarasov

“…The article considers the specifics of providing the required information about company activity during the crisis. The key document is the financial model, based on the macroeconomic, industrial, and operational assumptions regarding the borrower’s operations. …”
Get full text

Accounting aspects of risk management in providing charitable assistance in a hybrid war by I.M. Vygivska, G.Yu. Khomenko

“…The influence of the hybrid war on the activities of business structures has been identified, that has made it possible to identify the risks of enterprises conducting charity for military personnel from territories of military conflicts, the families of wounded and dead in the zone of the antiterrorist operation (in the territory of the Joint Forces Operation), and to develop a matrix and algorithm for managing such risks to minimize their negative economic and social consequences. …”
Get full text

A standardized criteria-based progressive shoulder exercise program is effective in managing rotator cuff-related shoulder pain: A prospective cohort study. by Judy Chepeha, Anelise Silveira, David Sheps, Charlene Luciak-Corea, Fiona Styles-Tripp, Lauren Beaupre

“…<h4>Conclusion(s)</h4>Utilizing a criteria-based progressive PT program that provided detailed information, including progression criteria and a proven algorithm for referring non-responsive patients for an orthopedic surgical consult was effective in significantly reducing pain, improving active ROM, strength and HRQL in those living with RCRSP.…”
Get full text

Landscape of the immune infiltration and identification of molecular diagnostic markers associated with immune cells in patients with kidney transplantation by Zhangxiao Xu, Xun Sun, Xiaobo Ma, Bo Tao, Jian Wu, Yunpeng He, Yuan Zhao, Hexiang Mao, Jie Yang, Dehui Jiang, Lijun Wang, Chao Song

“…Extreme Gradient Boosting (XGBoost) and Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression algorithms were used to screen hub genes. …”
Get full text

Cardiac Computed Tomography Measurements in Pulmonary Embolism Associated with Clinical Deterioration by Anthony J. Weekes, Angela M. Pikus, Parker L. Hambright, Kelly L. Goonan, Nathaniel O’Connell

“…We used an artificial intelligence (AI) algorithm to measure RV:LV on anonymized CTPAs from registry patients for whom the PERT was activated (2018–2023) by institutional guidelines. …”
Get full text

Identification and Validation of Key Genes Related to Lipophagy in Osteoporosis by Hu YX, Zuo ML, Wu Y, Yang Y, Shi XB, Zhang Q, Wu J, Xie RQ, Bi Y, Lin B, Mo C

“…The minimum absolute contraction selection operator (LASSO), support vector machine recursive feature elimination (SVM-RFE) and Boruta algorithm are used to identify candidate genes for OP-related feature genes, and the expression of key genes is analyzed. …”
Get full text

Preoperative predictors of thrombosis in children with congenital heart disease by V. A. Lastovka, R. F. Tepaev, O. B. Gordeeva, A. R. Bidzhiev, A. A. Chotchaeva

“…Based on the results of the study of this cohort of patients, the concentration of D-dimer, von Willebrand factor activity and plasminogen activity in plasma can be considered as predictors of thrombosis in children with CHD.…”
Get full text

Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA seq... by Yuqing Li, Jiandong Zhang, Xuemeng Qiu, Yifei Zhang, Jiyue Wu, Qing Bi, Zejia Sun, Wei Wang

“…A 9-gene signature, termed RCD risk score (RCDI), was constructed using the least absolute shrinkage and selection operator and multivariate Cox regression algorithms. …”
Get full text

MONITORING CONTROL OF AGRICULTURAL by N. T. Goncharov, V. A. Kolesnikova, I. I. Afonina, V. K. Khoroshenkov, I. S. Alekseev, S. E. Lonin, E. S. Luzhnova

“…Results of enterprises operation with new technologies were analysed. In new economic conditions work performance improvement, reducing downtime of technical means, increase in productivity and quality of the grown-up products directly depend on operating control in productive activity and management decisions on the basis of the complex analysis of situations, with use of the exact on-line information. …”
Get full text

Increasing the efficiency of teaching the topic "Burns, frostbites, electric traumas" by means of modern educational technology by Nor N.N.

“…After the discussion the proper decision on the common features of the first aid, treatment, and the algorithm of action is made. Stage 3: the groups share results of the previous clinical experience, sum up, solve situational tasks and tests of level III. …”
Get full text

EUROPEAN TERATOLOGY INFORMATION SERVICE: EXPERIENCE, PROBLEMS AND PERSPECTIVES by A.V. Ostrovskaya, K. Schefer, L. von Stackelberg

“…The authors highlight the history of entis, its objectives, principles of operation and consulting algorithm and list the basic scientific publications by the entis members for the recent years. …”
Get full text

Identification of Programs Based on the Behavior by M. V. Baklanovsky, A. R. Khanov

“…Performance tests reveal that our kernel monitor does not significatly slow down the processing of the operating system. After 20 minutes of learning the algorithm is able to identify any thread of any process with 85% precision. …”
Get full text

Neutron Spectrum Unfolding Method Based on Compressed Sensing Theory by WU Guanghao1, SHAO Gang2, SHI Guang3, LIU Bin4, 5, PAN Liangming4, 5, WANG Feng4, 5, ZHOU Xiaowei4, 5

“…The proposed method includes two processes, such as the sparse representation process and the sparse reconstruction process. Two kinds of algorithms, the K-SVD algorithm and the online dictionary learning algorithm, were applied for sparse representation. …”

Identification and Validation of Feature Genes Related to Mitochondrial Dysfunction and Oxidative Stress in Ulcerative Colitis by Wu Y, Tan Z, Lan Q, Liu Y, Liu C, He H, Zhang J, Dong W

“…Unsupervised clustering of UC samples was performed based on differentially expressed MD and OS-related genes (DEMORGs). The CIBERSORT algorithm was used to assess immune cell infiltration. …”
Get full text

Screening and identification Hub genes associated with immune cell infiltration and critical biomarkers in osteosarcoma by Xin Song, Sihao Chen, Junning Cheng, Haiyu Li, Ruixin Wu, Min Yan, Min Wang, Jie Li, Aishun Jin, Wang Wang

“…Result: CD8+ T cells, activated memory CD4+ T cells and plasma cells were positively correlated with the prognosis of OS. …”
Get full text

Learning-Enhanced Differential Evolution for Multi-Mode Resource-Constrained Multi-Project Scheduling Problem in Industrial Prefabrication by Zijie Xing, Chen Chen, Robert Lee Kong Tiong

“…The MRCMPSP models the operational difficulty of coordinating interdependent activities across multiple PBU projects under limited resource availability. …”
Get full text

Targeted molecular generation with latent reinforcement learning by Ragy Haddad, Eleni E. Litsa, Zhen Liu, Xin Yu, Daniel Burkhardt, Govinda Bhisetti

“…Proximal policy optimization is a state-of-the-art policy gradient algorithm capable of operating in continuous high-dimensional spaces in a sample-efficient manner. …”
Get full text

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

“…It was significantly positively correlated with M0-type macrophages and significantly negatively correlated with activated CD4 + memory T cells. (3) In the adult sepsis population, models constructed using GBM, SVM, and LASSO algorithms showed the best performance. …”
Get full text

The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…In this study, the bad data detection model based on deep learning has an active role in the realization of the safe and stable operation of the smart grid.…”
Get full text