Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach by Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim

“…The EGBF model is employed to classify nutritional states, including stunting, wasting, severe wasting, overweight, and underweight, providing a robust framework for predictive analysis. Findings The proposed FHO‐K‐Means and EGBF model demonstrated superior performance, achieving 99.84% accuracy, 99.5% precision, 99.8% specificity, and 100% sensitivity, with an F1 measure of 98.6% and a mean squared error (MSE) of 0.01%, outperforming existing classification techniques. …”
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An Improved Size and Direction Adaptive Filtering Method for Bathymetry Using ATLAS ATL03 Data by Lei Kuang, Mingquan Liu, Dongfang Zhang, Chengjun Li, Lihe Wu

“…Airborne LiDAR bathymetry (ALB) data were also used to validate the bathymetric accuracy and reliability. The experimental findings show that the ISDAF consistently exhibits effectiveness in detecting and retrieving signal photons, regardless of whether the seafloor terrain is stable or dynamic. …”
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A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method by Shereen H. Ali, Mohamed Shehata

“…Since the disease is becoming more common, early detection of breast cancer is essential to avoiding serious complications and possibly death as well. …”
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Noisy neuronal populations effectively encode sound localization in the dorsal inferior colliculus of awake mice by Juan Carlos Boffi, Brice Bathellier, Hiroki Asari, Robert Prevedel

“…The detected noise correlations contributed to minimize the error of the DCIC population code of sound azimuth. …”
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Chemical analysis of snus products from the United States and northern Europe. by Tameka S Lawler, Stephen B Stanfill, Hang T Tran, Grace E Lee, Patrick X Chen, J Brett Kimbrell, Joseph G Lisko, Carolina Fernandez, Samuel P Caudill, B Rey deCastro, Clifford H Watson

“…Our findings could inform public health and policy decisions pertaining to snus exposure and potential adverse health effects associated with snus.…”
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Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan by Shoji Taniguchi, Takeshi Hayashi, Hiroshi Nakagawa, Kei Matsushita, Hiromi Kajiya-Kanegae, Jun-Ichi Yonemaru, Akitoshi Goto

“…The spatial effects were heterogeneous and regional patterns were detected. These findings imply that spatial effects are important not only for improving prediction performance but also for dissecting the model itself to identify the factors contributing to model improvement.…”
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Limb Body Wall Complex: First Trimester Ultrasonographic Diagnosis of a Case with Exencephaly and Megacystis by Mert Turğal, Aslıhan Yazıcıoğlu, Özgür Özyüncü, M. Sinan Beksaç

“…Despite the anomaly arises from an error occuring during the embryonic folding, the exact pathophysiological mechanisms are poorly understood. …”
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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein by Bahareh Behkamal, Fatemeh Asgharian Rezae, Amin Mansoori, Rana Kolahi Ahari, Sobhan Mahmoudi Shamsabad, Mohammad Reza Esmaeilian, Gordon Ferns, Mohammad Reza Saberi, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…Additionally, SHAP analysis identified hs-CRP, BIL.D, ALT, and sex as the most influential predictors of MetS. These findings suggest that leveraging liver function biomarkers and hs-CRP within an automated ML pipeline can facilitate early, non-invasive detection of MetS, supporting clinical decision-making and risk stratification efforts in healthcare systems.…”
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Application of Deep Learning to the Classification of Stokes Profiles: From the Quiet Sun to Sunspots by Ryan J. Campbell, M. Mathioudakis, Carlos Quintero Noda, P. H. Keys, D. Orozco Suárez

“…In the sunspot simulation, the 630.25 nm line produces “double” profiles in the penumbra, likely a manifestation of magneto-optical effects in horizontal fields; these are rarer in the 1564.85 nm line. We find the 1564.85 nm line detects more reverse polarity magnetic fields in the penumbra, in contradiction to observations. …”
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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

“…Deep learning can make the computing model that contains a number of processing layers to learn the data that contains many levels of abstract representation.This kind of learning way in the most advanced speech recognition,visual object recognition,object detection and many other areas,such as biology,genetics and medicine brought significant improvement.Deep learning can find the complex structure of large data,and the convolution neural network as one of the important models of the depth study in the processing of voice,image,video and text,and other aspects of a new breakthrough.It is the use of BP algorithm to guide the machine how to get the error before the layer to adjust the parameters of this layer,so that these parameters are more conducive to the calculation of the model.In view of the shortcomings of traditional BP algorithm,a fast BP algorithm is proposed,which has the disadvantages of slow convergence speed and often falls into local minimum points.The improved convolutional neural network is used to validate the data set MNIST,English character recognition and medical image.The simulation results show the effectiveness of the proposed algorithm.…”
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A literature survey of shapelet quality measures for time series classification by Teng Li, Xiaodong Guo, Cun Ji

“…With the rapid development of the Internet of Things, time series classification (TSC) has gained significant attention from researchers due to its applications in various real-world fields, including electroencephalogram/electrocardiogram classification, emotion recognition, and error message detection. To improve classification performance, numerous TSC methods have been proposed in recent years. …”
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A Case of Posterior Communicating Artery Aneurysm Combined With an Atypical Origin of the Ipsilateral Ophthalmic Artery by D. V. Litvinenko, A. E. Gerasyuta, I. N. Sever, E. I. Zyablova, T. N. Trofimova, V. V. Tkachev

“…The patient was discharged in satisfactory condition with a stable neurological status.Conclusions: The combination of abnormal anatomy of arteries at the base of the brain and cerebral aneurysms increases the risk of tactical errors and perioperative complications. Each such case requires a careful comparison of the clinical, imaging, and intraoperative findings. …”
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Correlation Between Emergency Department Crowding and Adverse Occurrences in an Academic Hospital: A Retrospective Cohort Study by Alassaf W, Albrahim R, Abukhaled JK, Aldhaif M, Mohammed MA, Al Baiz A, Aljahany M

“…Our findings provide evidence of increased errors in medication, care coordination, and medical care due to emergency department (ED) crowding. …”
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Cephalic measures in normal pre-school children 3 to 7-years of age Medidas cranianas em crianças pré-escolares normais de 3 a 7 anos by A. J. Diament, F. W. Rodrigues

“…This index is useful in detecting changes in head shape mainly in cases of precocious cranioestenosis (Diament, 1968; Facure, 1972). …”
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Efficient Magic State Distillation by Zero-Level Distillation by Tomohiro Itogawa, Yugo Takada, Yutaka Hirano, Keisuke Fujii

“…We numerically find that the error rate of the logical magic state scales as approximately 100×p^{2} in terms of the physical error rate p. …”
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Prospects for Gamma-Ray Emission from Magnetar Regions in CTAO Observations by M. F. Sousa, R. Costa Jr., Jaziel G. Coelho, R. C. Dos Anjos

“…Our findings indicate that CTAO will detect gamma-ray emissions from these three magnetar regions with significantly reduced emission flux errors compared to current instruments. …”
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Quantum Relay-Assisted Free-Space Optical Communication by Manav R. Bhatnagar, M. K. Arti, Kushagra Bhatnagar

“…This work proposes a quantum relaying method specifically designed for FSO links and examines the impact of two-hop relaying in terms of the probability of error. The Helstrom error bound is derived to assess the system's detection limits, while density operator calculations are performed to characterize the quantum relaying setup. …”
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Evaluating Clonal Expansion of HIV-Infected Cells: Optimization of PCR Strategies to Predict Clonality. by Sarah B Laskey, Christopher W Pohlmeyer, Katherine M Bruner, Robert F Siliciano

“…Because the HIV-1 replication process is highly error-prone, the detection of identical viral genomes in distinct host cells provides evidence for the clonal expansion of infected cells. …”
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Smooth-pursuit performance during eye-typing from memory indicates mental fatigue by Tanya Bafna-Rührer, Per Bækgaard, John Paulin Hansen

“…The findings exhibit the feasibility of mental fatigue detection using smooth-pursuit movements during an eye-interactive task of eye-typing. …”
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Short-horizon neonatal seizure prediction using EEG-based deep learning. by Jonathan Kim, Edilberto Amorim, Vikram R Rao, Hannah C Glass, Danilo Bernardo

“…Model calibration was moderate, with an expected calibration error of 0.106. These findings establish the feasibility of short-horizon neonatal seizure prediction and warrant the need for further validation.…”
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