Online Asynchronous Learning over Streaming Nominal Data by Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

“…Online learning has become increasingly prevalent in real-world applications, where data streams often comprise heterogeneous feature types—both nominal and numerical—and labels may not arrive synchronously with features. However, most existing online learning methods assume homogeneous data types and synchronous arrival of features and labels. …”
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Estimated prevalence, incidence and healthcare costs of Sjögren’s syndrome in France: a national claims-based study by Raphaele Seror, Valérie Devauchelle-Pensec, Maxime Beydon, Laurent Chiche, Guillaume Desjeux, Joe Zhuo, Virginie Vannier-Moreau

“…SS is clinically and economically burdensome; these findings may help clinicians better understand routine healthcare received by patients.…”
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…Additionally, the proposed phased artificial lemming algorithm (ALA) outperforms traditional optimization algorithms in terms of solution quality. …”
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Statistically elucidated responses from low-signal contrast mechanisms in ultrafast electron microscopy by Spencer A. Reisbick, Alexandre Pofelski, Myung-Geun Han, Chuhang Liu, Eric Montgomery, Chunguang Jing, Kayla Callaway, John Cumings, June W. Lau, Yimei Zhu

“…Consequently, the sample may drift, tilt, or undergo irreversible structural changes that are independent of the time-resolved dynamics throughout the experimental time frame. …”
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Early Childhood Anemia in Ghana: Prevalence and Predictors Using Machine Learning Techniques by Maryam Siddiqa, Gulzar Shah, Mahnoor Shahid Butt, Asifa Kamal, Samuel T. Opoku

“…Early intervention and identifying high-risk youngsters may be made easier with the application of machine learning techniques, which will eventually lead to a healthier generation in the future.…”
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Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems by Ting Fu, Joshua Stipancic, Sohail Zangenehpour, Luis Miranda-Moreno, Nicolas Saunier

“…Although new camera technologies, including thermal video sensors, may improve the performance of digital video-based sensors, their performance under various conditions has rarely been evaluated at multimodal facilities. …”
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New Approaches to AI Methods for Screening Cardiomegaly on Chest Radiographs by Patrycja S. Matusik, Zbisław Tabor, Iwona Kucybała, Jarosław D. Jarczewski, Tadeusz J. Popiela

“…Conclusion: The use of AI may optimize the screening process for cardiomegaly on CXRs. …”
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Sexual dysfunction in anxiety disorders by M. I. Yagubov, I. Yu. Kan, N. V. Dobaeva, I. R. Ayriyants

“…In cases where it is impossible to use such drugs, after achieving correction of anxiety symptoms, the doses of psychotropic drugs used may be reduced, interruptions in their intake, mainly 1-2 days before the alleged sexual contact. …”
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The Impact of Autonomous Vehicle Accidents on Public Sentiment: A Decadal Analysis of Twitter Discourse Using roBERTa by Romy Sauvayre, Jessica S. M. Gable, Adam Aalah, Melvin Fernandes Novo, Maxime Dehondt, Cédric Chauvière

“…A binary segmentation algorithm was used to distinguish an initial positive sentiment period (January 2012–May 2016) followed by a negative period (June 2016–December 2021), which was initiated by a fatal Tesla accident and reinforced by a pedestrian killed by an Uber AV. …”
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A Physics-Informed Cold-Start Capability for xEV Charging Recommender System by Raik Orbay, Aditya Pratap Singh, Johannes Emilsson, Michele Becciani, Evelina Wikner, Victor Gustafson, Torbjorn Thiringer

“…Tailoring the charging experience incorporating smart algorithms introduces an exciting set of development opportunities. …”
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Real-Time Software Implementation of Filter-Separated MIMO Adaptive Equalizer for Fully Virtualized Access Networks by Daisuke Hisano, Takahiro Suzuki, Kohei Nishida, Akio Yamasaki, Sang-Yuep Kim, Jun-ichi Kani, Tomoaki Yoshida

“…The previously proposed DSP algorithm may not operate in this situation because the processing time exceeds the requirement. …”
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Machine Learning‐Based Immuno‐Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture by Xi Wang, Qianhang Xia, Shuangya Yang, Chancui Deng, Ning Gu, Youcheng Shen, Zhenglong Wang, Bei Shi, Ranzun Zhao

“…Through manual feature selection, nine features, including SII and SIRI, were included, and an ML model was built using the XGBoost algorithm. Model performance was evaluated using receiver operating characteristic curves and calibration curves. …”
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Meigs’ syndrome with elevated CA-125 and HE-4: a case report and literature review by Jichang Seong, Abdusattorov Ravshan, Sametdinov Narkhodzha, Kurbanova Saida, Alimov Jamshid, Alimov Jamshid, Babanov Bahriddin, Sharobidinov Biloliddin

“…Serum CA-125 and HE-4 levels were markedly elevated (1,200 IU/mL and 82.1 pmol/L, respectively), with a Risk of Ovarian Malignancy Algorithm (ROMA) score of 25.63%, suggesting advanced ovarian malignancy. …”
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ReliefSeq: a gene-wise adaptive-K nearest-neighbor feature selection tool for finding gene-gene interactions and main effects in mRNA-Seq gene expression data. by Brett A McKinney, Bill C White, Diane E Grill, Peter W Li, Richard B Kennedy, Gregory A Poland, Ann L Oberg

“…Relief-F is a nonparametric, nearest-neighbor machine learning method that has been successfully used to identify relevant variables that may interact in complex multivariate models to explain phenotypic variation. …”
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Acute kidney injury, the present on admission (POA) indicator and sex disparities: observational study of inpatient real-world data in a Swiss tertiary healthcare system. Explorati... by Michael Simon, Sarah N Musy, Karen Triep, Olga Endrich

“…Related to absolute and relative changes of baseline creatinine, different criteria for staging may induce underdiagnosis or overdiagnosis related to sex. …”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…The analysis of the results revealed the peculiarities of the model operation, namely, the application of least squares regression with single coding demonstrates perfect forecasts, which may indicate the need for model transformation and requires additional verification. …”
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Consensus opinion on the management of patients with neuromyelitis optica spectrum diseases: issues of terminology and therapy by V. S. Krasnov, K. Z. Bakhtiyarova, E. P. Evdoshenko, D. S. Korobko, T. O. Simaniv, N. A. Totolyan, N. V. Khachanova, M. V. Shumilina, M. V. Davydovskaya

“…The consensus council of experts adopted the main definitions and terms for NMOSD, proposed a therapeutic algorithm to prevent exacerbations in patients with NMOSD with serum IgG antibodies to aquaporin-4 (AQP4-IgG).The experts formulated profiles of patients with NMOSD to whom eculizumab may be recommended, and proposed a risk management plan during the treatment with this drug. …”
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Adaptation of k-means to automated forecasting of poorly structured time series of economic dynamics by Dunskaia Lada, Popova Elena

“…Furthermore, machine learning and deep data analysis methods allow not only to improve the forecasting accuracy but also to identify hidden patterns that may be overlooked by traditional statistical approaches. …”
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Modeling of Long-Term Load Forecast in Jordan Based on Statistical Techniques by Mohammad Awad Momani, Sajedah A. Tashtush, Rahaf J. Shahrour, Abeer M. AlSatari

“…The flowchart of the proposed algorithm was also presented. The multiple linear regression (MLR) as well as the autoregressive integrated moving average (ARIMA) model with different model orders are employed in load forecasting. …”
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Preparedness of European pediatric oncologists to integrate AI in the clinical routine by Alberto E. Tozzi, Diana Ferro, Ileana Croci, Francesco Fabozzi, Angela Mastronuzzi

“…Discussion: This survey underscores the importance of AI tools in pediatric oncology that incorporate human oversight in clinical decision-making and training AI algorithms with diverse and representative data. Our findings suggest that pediatric oncologists may not be adequately prepared for the seamless integration of AI in clinical practice.…”
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