Pharmacological potential of 3,5-dimethyl-4-(3-(5-nitrofuran-2-yl)allylidenamino)-1-alkyl-1,2,4-triazolium bromides by A. S. Hotsulia, O. I. Panasenko, T. S. Brytanova

“…A molecular docking method that uses a variety of computational algorithms to predict and analyze interactions, including determining the presence of possible binding sites, estimating binding energies, and the spatial arrangement of molecules. …”
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Single-cell and machine learning approaches uncover intrinsic immune-evasion genes in the prognosis of hepatocellular carcinoma by Jiani Wang, Xiaopeng Chen, Donghao Wu, Changchang Jia, Qinghai Lian, Yuhang Pan, Jiumei Yang

“…Time-dependent receiver operating characteristic analysis demonstrated the accurate predictive capability of the risk score model for HCC prognosis. …”
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A Convolutional Neural Network–Based Approach for Detecting Solar System Objects in Wide-field Imaging by Aram Lee, J. J. Kavelaars, Hossen Teimoorinia, Wesley Fraser, Edward Ashton

“…A separate regression model predicted the source locations with a mean absolute error of ±1.5 pixels for sources with a signal-to-noise ratio (SNR) of 16.5 or higher. …”
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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) by Jorge A. Fernandez-Jibaja, Nilton Atalaya-Marin, Yeltsin A. Álvarez-Robledo, Victor H. Taboada-Mitma, Juancarlos Cruz-Luis, Daniel Tineo, Malluri Goñas, Darwin Gómez-Fernández

“…Among the regression algorithms tested, support vector regression (SVR) demonstrated the highest predictive accuracy (R² = 0.81) for the Bellavista variety at the maximum tillering stage. …”
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Rapid and Efficient Screening of <i>Helicobacter pylori</i> in Gastric Samples Stained with Warthin–Starry Using Deep Learning by José Aneiros-Fernández, Pedro Montero Pavón, Natalia García Gómez, Rosa María Palo Prian, Ismael Sánchez García, Ana Isabel Romero Ortiz, Rodrigo López Castro, César Casado-Sánchez, Víctor Sánchez Turrión, Antonio Luna, Manuel Álvaro Berbís

“…The conducted efficiency study demonstrated that algorithm utilization significantly decreased (<i>p</i> < 0.001) diagnostic turnaround times for all participants (two pathologists, a pathology resident, a pathology technician, and a biotechnologist), observing an 88.13–91.76% time reduction. …”
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Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach by Philipp Wohlgenannt, Sebastian Hegenbart, Elias Eder, Mohan Kolhe, Peter Kepplinger

“…Although RL is slightly less efficient in cost reduction, it significantly outperforms in computational speed, being approximately 20 times faster. …”
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IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

“…The proposed system follows a structured workflow: (i) channel state information (CSI) is extracted from ESP32 modules, (ii) data preprocessing is performed using Hampel and Gaussian filters for noise and outlier removal, (iii) dimensionality reduction is achieved through Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT), and (iv) activity classification is conducted using Dynamic Time Warping (DTW) and the K-Nearest Neighbors (KNN) algorithm. …”
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Innovative Lightweight Detection for Airborne Remote Sensing: Integrating G-Shuffle and Dynamic Multiscale Pyramid Networks by Ruofei Liang, Yigang Cen, Linna Zhang, Fugui Zhang, Yansen Huang, Fei Gan

“…To address the challenges of significant scale variations and difficulty in extracting discriminative features for small targets in airborne remote sensing object detection, while considering the constraints and efficiency requirements of onboard systems, this article proposes a lightweight detection algorithm. First, a structural reparameterization strategy is applied to optimize depthwise separable convolutions, simplifying complex structures during the inference stage, which improves inference speed and memory utilization. …”
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Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model by Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang

“…The signals are then processed using the EMD-ICA noise reduction technique. Then, the wavelet scattering network is used to realize the adaptive extraction of the characteristics of the particle light-scattering signal, and the Bayesian Optimization model is used to optimize the hyperparameters of the LSTM neural network. …”
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Atrial fibrillation with thrombotic complications. Justification of the diagnosis and treatment regimen according to evidence-based medicine (clinical case) by L.O. Martymianova, E.P. Kamenska, A.O. Bulyha, K.О. Serdyuk

“…Today, the treatment of AF should be based on the CARE algorithm, which includes main components of therapy: C – comorbidities and risk factor management; A – avoid – prevention of stroke and thromboembolism; R – rate and rhythm control – reduction of symptoms by controlling rate and rhythm; E – evaluation and repeated dynamic evaluation. …”
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Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…The normalized control effort also decreases from 82,600 to 78,200, representing a 5.3% reduction. These findings indicate that the proposed method holds strong potential for online operation in autonomous flight scenarios characterized by uncertainty and dynamic environmental changes. …”
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Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer by Jianying Xu, Wenjie Shi, Yi Zhu, Chao Zhang, Julia Nagelschmitz, Maximilian Doelling, Sara Al-Madhi, Ujjwal Mukund Mahajan, Maciej Pech, Georg Rose, Roland Siegfried Croner, Guoliang Zheng, Christoph Kahlert, Ulf Dietrich Kahlert

“…Subsequent molecular clustering of these miRNAs and their predicted targets identified two PC subtypes, with distinct survival profiles and therapeutic responses. …”
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A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. by Kavumpurathu R Thankappan, Thirunavukkarasu Sathish, Robyn J Tapp, Jonathan E Shaw, Mojtaba Lotfaliany, Rory Wolfe, Pilvikki Absetz, Elezebeth Mathews, Zahra Aziz, Emily D Williams, Edwin B Fisher, Paul Z Zimmet, Ajay Mahal, Sajitha Balachandran, Fabrizio D'Esposito, Priyanka Sajeev, Emma Thomas, Brian Oldenburg

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The burden of Neglected Tropical Diseases in Brazil, 1990-2016: A subnational analysis from the Global Burden of Disease Study 2016. by Francisco Rogerlândio Martins-Melo, Mariângela Carneiro, Alberto Novaes Ramos, Jorg Heukelbach, Antonio Luiz Pinho Ribeiro, Guilherme Loureiro Werneck

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Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion by Rocío Aznar-Gimeno, Jose Luis Perez-Lasierra, Pablo Pérez-Lázaro, Irene Bosque-López, Marina Azpíroz-Puente, Pilar Salvo-Ibáñez, Martin Morita-Hernandez, Ana Caren Hernández-Ruiz, Antonio Gómez-Bernal, María de la Vega Rodrigalvarez-Chamarro, José-Víctor Alfaro-Santafé, Rafael del Hoyo-Alonso, Javier Alfaro-Santafé

“…Finally, machine learning models were developed using these variables to predict sarcopenia and CD. <b>Results</b>: Models based on sensor data, CV data, and a combination of both technologies achieved high predictive accuracy, particularly for CD. …”
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Re-conceptualizing trafficking-in-persons victimization using latent class analysis: Results from a community study in Cape Town, South Africa by Annah K. Bender, Erica L. Koegler, Edna G. Rich, Nicolette V. Roman, Rumi Kato Price

“…A modified screening tool based on domains of trafficking identified by the inaugural Prevalence Reduction Innovation Forum (PRIF) was most robust in identifying and classifying victims. …”
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Optimization of multioutlet hydrant location and pressurized irrigation network layout using the GRASP metaheuristic by César González-Pavón, Carmen Virginia Palau, Juan Manzano-Juárez, Santiago Guillem-Picó, Ibán Balbastre-Peralta

“…Comparative analysis with networks designed using conventional methods reveals significant improvements, with up to 31.1% more hydrants required and a 14.8% reduction in overall costs. By obtaining a greater number of multioutlet hydrants, both the diameter and the linear meters of connections to the plot to be drawn are considerably reduced, which greatly reduces land excavation. …”
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Optical Versus Electronic Implementation of Probabilistic Graphical Inference and Experimental Device Demonstration Using Nonlinear Photonics by Masoud Babaeian, Patrick Keiffer, Mark A. Neifeld, Ratchaneekorn Thamvichai, Robert A. Norwood, Pierre-A. Blanche, John Wissinger, N. Peyghambarian

“…In this paper, we study both computation and communications power consumption of optical-based and electronic-based implementations of the probabilistic inference algorithm used in solving large scale problems. Our analysis indicates that the optical implementation provides substantial reduction for power and area compare to the electronic-based solutions as problems become large. …”
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Remote sensing-based assessment of four decades of land use/land cover change in the Sigi River Watershed, East Usambara Mountains, Tanzania by Simon Chidodo, Simon Chidodo, Lulu Zhang, Azin Zarei, Karl-Heinz Feger

“…These changes have caused a drastic reduction in ecosystem services. Understanding the spatial and temporal patterns of LULC change in relation to topographic attributes is essential for effective watershed management, as it provides insights into landscape heterogeneity and supports evidence-based conservation planning. …”
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Spatiotemporal Analysis and Anomalous Trends of Asia AOD (2001–2024): Insights from a Deep Learning Fusion Model and EOF Decomposition by Yu Ding, Wenjia Ni, Jiaxin Dong, Jie Yang, Shiyao Meng, Siwei Li

“…However, satellite-derived AOD datasets frequently suffer from missing values due to factors such as cloud cover, algorithmic limitations, and various atmospheric conditions. …”
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