Novel classification system and high-risk categories of pediatric acute myeloid leukemia by Masayuki Umeda, Yen-Chun Liu, Seth E. Karol, Jeffery M. Klco

“…Molecular categories in the new classification system are associated with unique transcriptional, mutational, and clinical characteristics, which can be leveraged for predicting clinical outcomes and developing molecular-target therapies based on the initiating driver alterations. …”
Get full text

Design of System-of-System Acquisition Analysis Using Machine Learning by Fahad H. Alshammari

“…The goal of this research is to determine how the exchange of data sets and the corresponding analytics by SOS stakeholders can improve SOS capacity. Predicting SOS capabilities by exchanging relevant data sets and prescribing information connections between systems, we propose to use machine learning techniques. …”
Get full text

Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network by Yuanxin Xiang, Yi Lv, Wenqiang Lei, Jiancheng Lv

“…The proposed algorithm first predicts the speech existence probability using a three-layer Gated Recurrent Unit (GRU) with the speech banding spectrum as the feature. …”
Get full text

Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

“…The RF model was found to have better predictive performance than the other four models, achieving an accuracy of 0.9691 and a kappa value of 0.9537. …”
Get full text

Investigation on Mechanical and Microstructure Properties of Steel Fiber Reinforced Concrete by Qinyuan Zhang, Wenwen Xu, Yichen Sun, Yongcheng Ji

“…Research results will provide a theoretical basis for predicting the performance deterioration of steel fiber reinforced concrete under different erosion conditions and periods.…”
Get full text

A New Approach to Regional Traffic Estimation for Intelligent Transport Systems by Minghe Yu, Jianhua Feng, Tianmiao Zhang, Tiancheng Zhang

“…Traffic estimation is to predict current or future traffic situation (traffic speed and/or volume) in a road or a region of a city, and can benefit our daily life from many aspects, such as routing planning and traffic management. …”
Get full text

Interpretable and integrative deep learning for discovering brain-behaviour associations by Corentin Ambroise, Antoine Grigis, Josselin Houenou, Vincent Frouin

“…Abstract Recent advances highlight the limitations of classification strategies in machine learning that rely on a single data source for understanding, diagnosing and predicting psychiatric syndromes. Moreover, approaches based solely on clinician labels often fail to capture the complexity and variability of these conditions. …”
Get full text

Study on Temperature Rise Characteristics of Grease Lubricated Thrust Angular Contact Ball Bearings Under Complex Working Conditions by Shijie Wang, Pengchang Jiang, Feng Liu, Guixiu Luo, Zhanli Zhang

“…The results show that the established model can predict the temperature rise of bearing outer ring under complex working conditions well； the maximum error between the simulation results and the test results is 8.3%； the temperature rise rate of the outer ring of the bearing is faster within 20 minutes after the start of the bearing operation； the load， speed and ambient temperature increased will increase the temperature rise of the outer ring of the bearing； the number of steel balls and groove curvature radius coefficient increased will decrease the temperature rise of bearing outer ring. …”
Get full text

Anxiety and adaptation to pandemic in Mexico: A cross-sectional study by Javier Álvarez Bermúdez, Cecilia Meza Peña

“…The variable that best predicts adaptation to confinement is anxiety, followed by food, sleep, and physical activity. …”
Get full text

Early Warning and Management Method of Abnormal Performance of Tourist Scenic Spots Assisted by Image Recognition Technology by Zhaozhen Song, Jing Lu

“…CNN also has good accuracy in predicting related features such as the flow of people in scenic spots. …”
Get full text

Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik by Taufiq Karma Karma, Pasyamei Rembune Kala, Shofi Shofi, Zafirah Zafirah

“…The LDA analysis results indicate that the LDA model, based on cross-validation, accurately predicts the origin locations of Seurapoh leaf samples with a 100% accuracy rate.…”
Get full text

Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies by Nazik Jebur, Wafa Soud

“…Additionally, convolutional autoencoders have demonstrated impressive performance, achieving an average Pearson coefficient of 91% in wear estimation, underscoring the critical importance of predictive maintenance. Despite these remarkable advancements, challenges persist due to the lack of uniform evaluation criteria and the focus on specific error types under particular operating conditions. …”
Get full text

Hypothesis: ultrasonography can document dynamic in vivo rouleaux formation due to mobile phone exposure by Robert R. Brown, Robert R. Brown, Robert R. Brown, Barbara Biebrich

“…This revolutionary in vivo method to assess radiofrequency radiation induced rouleaux formation should be further pursued in the general population to determine its prevalence and if its occurrence provides a unique biomarker of exposure that may predict morbidity.…”
Get full text

Baryogenesis via flavoured leptogenesis in a minimal type-II seesaw model by Sreerupa Chongdar, Sasmita Mishra

“…The new source of charge conjugation and parity (CP) asymmetry comes from interference of tree-level diagram and one-loop vertex diagram involving the heavy particles. The predictability of the model is enhanced by obtaining a Fritzsch-type texture for the neutrino mass matrix by imposing A4×Z2 symmetry. …”
Get full text

Analysis of Monetary Policy Objectives as Applied to Uganda’s Economy: The Dream to Achieve the Middle-Income Status in 2020 is Gone by George Stanley, Kinyata, Nafiu, Lukman Abiodun

“…This questions the ability of the country to achieve the middle-income status by 2020 as had been predicted. The weaknesses in implementation of the monetary objectives which caused the government failure to achieve Uganda’s goal and finally the important strategies and areas which Uganda should use to generate high rates of economic growth to transfer in the economy and maintain macroeconomic stability are recommended in this aricle.…”
Get full text

Modelling nitrogen transformation in the Lake Bunyonyi ecosystem, South‑Western Uganda by Alex, Saturday, Thomas, J. Lyimo, John, Machiwa, Siajali, Pamba

“…The developed model predicted reasonably well the behaviour of the lake evidenced by the validation results of observed and simulated data that showed good linear regression coefficients (R2) of organic nitrogen (0.48), ammonia–nitrogen (0.68), and nitrate–nitrogen (0.61). …”
Get full text

Cost and Management Accounting Practices, ICT Usage and Performance of Secondary Schools in Uganda: A Case of South Western Uganda by Abanis, Turyahebwa, Natwijuka, Crispus, Sunday, Arthur, Byamukama, Eliab Mpora

“…This means that the total predictive power of cost and management accounting and ICT adoption account for 27.4% in financial performance of secondary schools. …”
Get full text

Synthesis and Biological Evaluation of 2-Hydroxy-3-[(2-aryloxyethyl)amino]propyl 4-[(Alkoxycarbonyl)amino]benzoates by Jan Tengler, Iva Kapustíková, Matúš Peško, Rodney Govender, Stanislava Keltošová, Petr Mokrý, Peter Kollár, Jim O'Mahony, Aidan Coffey, Katarína Král'ová, Josef Jampílek

“…Cytotoxicity assay of effective compounds was performed using the human monocytic leukaemia THP-1 cell line. Compounds with predicted amphiphilic properties were also tested for their effects on the rate of photosynthetic electron transport (PET) in spinach (Spinacia oleracea L.) chloroplasts. …”
Get full text

Uniform impact on individual megakaryocytes is essential for efficient in vitro platelet production by Andrei K. Garzon Dasgupta, Anaïs Pongérard, Léa Mallo, Anita Eckly, François Lanza, Olivier Boiron, Yannick Knapp, Catherine Strassel

“…In conclusion, we have developed a platelet production device with a predictable and highly precise effect on each megakaryocyte.…”
Get full text

Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma by Di He, Zhan Yang, Tian Zhang, Yaxian Luo, Lianjie Peng, Jiatao Yan, Tao Qiu, Jingyu Zhang, Luying Qin, Zhichao Liu, Mouyuan Sun

“…The expression level of OLR1 may serve as a predictive marker for immunotherapy responses. Moreover, drug sensitivity analysis and molecular docking studies have indicated that simvastatin and pazopanib are potential inhibitors of OLR1. …”
Get full text