Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

“…We used the time spent on calculations to make a reasonable choice of the calculation algorithm for the criterion statistics. We confirmed correctness of the calculation algorithms by a set of selective checks and statistical estimates that showed the compliance with well-known theoretical provisions.…”
Get full text

Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks by Ayan Chatterjee, Vajira Thambawita, Michael A. Riegler, Pal Halvorsen

“…Anomalies can compromise data quality and operational efficiency. The complexity of time-series data, with its temporal dependencies and potential non-stationarity, makes anomaly detection challenging but essential. …”
Get full text

ECHS1 as a Lipid Metabolism Biomarker for Pediatric Focal Segmental Glomerulosclerosis. by Chao He, Wei Peng, Sheng Li, Can Xu, Xiuping Chen, Yuanhan Qin

“…Enrichment analysis revealed that these DELMRGs were primarily involved in fatty acid metabolic processes; localized in microbodies, peroxisomes, and mitochondrial matrices; and exhibited oxidoreductase activity. Protein-protein interaction networks were constructed using Cytoscape, and five hub DELMRGs (enoyl-CoA hydratase, short chain 1 [ECHS1], EHHADH, IDH1, SUCLG1, and ALDH3A2) were identified using multiple algorithms. …”
Get full text

Machine learning based classification of catastrophic health expenditures: a cross-sectional study of Korean low-income households by Seok Min Ji, Jeewuan Kim, Kyu Min Kim

“…The classification model was developed using four machine learning algorithms: Random Forest, Gradient boosting, Decision tree, Ridge regression, Neural network, and AdaBoost. …”
Get full text

Approximate Synthesis of Н_∞ – Controllers in Nonlinear Dynamic Systems over a Semi-Infinite Time Period by A. V. Panteleev, A. A. Yakovleva

“…Problems and methods of finding Н∞ – control are the basis of modern control theory. They are actively used to develop robust controllers, especially in aircraft control systems under limited external actions. …”
Get full text

Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

“…DCs-related gene signature (DCRGS) was constructed using integrated machine learning algorithms. Expression of key genes in clinical samples was examined by real-time q-PCR. …”
Get full text

CO21 | Viscoelastic testing in inherited bleeding disorders: a cross-sectional comparison between viscoelastic coagulation monitoring (VCM) and rotational thromboelastometry (ROTE...

“…Conversely, ROTEM adds EXTEM and FIBTEM channels that examine tissue-factor activation and fibrinogen contribution—features not fully captured by VCM—and therefore could give a more specific characterisation of the coagulation profile for algorithm-based decisions.   …”
Get full text

Assessment of Risks of Voltage Quality Decline in Load Nodes of Power Systems by Pylyp Hovorov, Roman Trishch, Romualdas Ginevičius, Vladislavas Petraškevičius, Karel Šuhajda

“…Based on the results of the study, a mathematical model of the risk of voltage collapses in networks, an algorithm and a methodology for its calculation were proposed.…”
Get full text

River baseflow in supplying reservoirs inflows of Tehran metropolis: A machine learning modeling based on influencing factors by Bahareh Hossein-Panahi, Sara Mohandes Samani, Amir-Reza Sadeghi, Mahsa Shahi, Seiyed Mossa Hosseini, Esmaeel Parizi

“…The Baseflow Index (BFI), calculated as the ratio of mean BF to total streamflow, revealed BF contributions ranging from 55 % to 89 %, with soil moisture and snowmelt identified as dominant drivers. The BFAST algorithm detected breakpoints in BF trends, linking shifts to climatic variability and human activities like dam operations. …”
Get full text

Economic Development of the Latin American Integration Association: Trends and Prospects by M. N. Tolmachev, E. V. Nikiforova, A. P. Tsypin

“…The testing of the author’s methodology aimed at studying the economic development of LAIA member countries allows us to argue about the operability of the algorithm, which made it possible to establish the low efficiency of the integration policy of Latin American countries, which, despite the significant level of national wealth, does not allow us to form a trend towards economic growth, a decrease in dependence on the export of natural capital, and an increase in the standard of living of the population. …”
Get full text

HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…In addition, the noise resilience and robustness of the HyQ2 algorithm were substantiated through experiments on the IBM quantum machine with only a 0.2% decrease compared to the simulation results.…”
Get full text

Towards quantitative assessment of cerebrovascular autoregulation in human neonates using ultrafast ultrasound imaging by Nikan Fakhari, Julien Aguet, Alison Howell, Minh Nguyen, Luc Mertens, Lynn Crawford, Maelys Venet, Christoph Haller, David Barron, John G. Sled, Jérôme Baranger, Olivier Villemain

“…This study aims to use UPD combined with an algorithm for the discrimination of arteries and veins to monitor CAR during DH-CPB in neonates. …”
Get full text

Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…Sustainability in space is now the centre of attention for different space research organisations given the scale of current investment in planetary search activities, ambitious plans for habitation in future, and focus on electric space propulsion systems. …”
Get full text

In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands by Kimberly Slinski, Kimberly Slinski, Gabriel B. Senay, Alkhalil Adoum, Shraddhanand Shukla, Amy McNally, James Rowland, Erwann Fillol, Soni Yatheendradas, Soni Yatheendradas, Chris Funk, Andrew Hoell, Michael Jasinski

“…This study compares water availability estimates derived from Landsat and Sentinel 1 satellite imagery to in situ observations and model simulations of water availability in 22 ephemeral ponds located in the Ferlo region of Senegal.Results and discussionThe Active-Passive Water Classification (APWC) algorithm detected surface water at each location. …”
Get full text

Computational study on a puzzle in the biosynthetic pathway of anthocyanin: Why is an enzymatic oxidation/ reduction process required for a simple tautomerization? by Hajime Sato, Chao Wang, Mami Yamazaki, Kazuki Saito, Masanobu Uchiyama

Get full text

Cuproptosis-related lncRNA predicts prognosis and immune pathways in osteosarcoma patients by LIAO Jun, FENG Yanbin, XI Deshuang, ZONG Shaohui

“…The OS prognostic models were constructed using LASSO-Cox regression, and the model efficacy was assessed by receiver operating characteristic curve (ROC) and Kaplan-Meier (KM) survival analysis. …”
Get full text

Exploring the association between circadian rhythms and osteoporosis: new diagnostic and therapeutic targets identified via machine learning by Jian Du, Jian Du, Tian Zhou, Ran Meng, Wei Zhang, Jin Zhou, Wei Peng

“…By comparing four machine learning algorithms, the top five genes from the SVM algorithm (ECE1, FLT3, APPL1, RAB5C and FCGR2A) were determined as key genes for OP. …”
Get full text

Optimal Coordinated Flood Control Scheduling of Three Gorges and Qingjiang Cascade Reservoirs by ZHAO Hui, ZHU Yu-xin, LIU Yuan, HUANG Bin, PANG Shu-sen, HUANG Di

“…The Non-dominated Sorting Genetic Algorithm II (NSGA-II) was employed to solve the model, enabling the exploration of optimal activation strategies for flood control capacity under different flood regional compositions. …”
Get full text

TIMELESS as a prognostic biomarker and therapeutic target in gastric cancer by Xiangrong Meng, Qi Sun, Zhongshuang Liu, Shenqi Cao, Chunyang Xu, Longjiang Di, Yan Wu, Wenjing Zhang

“…Among these, the application of four distinct machine learning algorithms highlighted TIMELESS (TIM) and BHLHE41 as pivotal genes, with TIM demonstrating notable diagnostic performance (area under the receiver operating characteristic curve = 0.802). …”
Get full text

Assessment of road-cut slope stability using empirical, numerical, and machine learning methodologies by Virat Singh Chauhan, Md. Rehan Sadique, Mohd. Masroor Alam, Mohd. Ahmadullah Farooqi

“…Their occurrence is primarily attributed to natural factors such as high-intensity precipitation, steeper topography, and seismic activity. These factors are further exacerbated by anthropogenic activities, including unregulated infrastructural developments, mining operations, and the expansion of transportation infrastructure such as roads and railways. …”
Get full text