NuFit-6.0: updated global analysis of three-flavor neutrino oscillations by Ivan Esteban, M. C. Gonzalez-Garcia, Michele Maltoni, Ivan Martinez-Soler, João Paulo Pinheiro, Thomas Schwetz

“…We provide also updated ranges and correlations for the effective parameters sensitive to the absolute neutrino mass from β-decay, neutrinoless double-beta decay, and cosmology.…”
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Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

“…Finally, the prediction performance of the fusion model proposed in this paper is verified by Pycharm simulation, and the average absolute error, root mean square error and maximum prediction error of the model are 1.62%, 1.55% and 0.5%, respectively, which proves that the model can accurately predict the SOC of lithium-ion battery. …”
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A Pervasive Approach to EEG-Based Depression Detection by Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen, Jürg Gutknecht

“…The result also suggested that the absolute power of the theta wave might be a valid characteristic for discriminating depression. …”
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Hospitalization due to pneumococcal disease in the Unified Health System in Brazil: A retrospective analysis of administrative data by Daniela V. Pachito, Mauricio Longato, Guilherme Cordeiro, Paulo H.R.F. Almeida, Ricardo Macarini Ferreira, Ana Paula N. Burian

“…Costs were converted to US dollars by Using Purchasing Power Parity (USD-PPP). Absolute number of hospitalizations, costs of hospitalizations and healthcare resource utilization were presented descriptively. …”
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Enhancing epigenetic aging clocks in cetaceans: accurate age estimations in small endangered delphinids, killer whales, pilot whales, belugas, humpbacks, and bowhead whales by Joseph A. Zoller, Ake T. Lu, Amin Haghani, Steve Horvath, Todd Robeck

“…By pooling methylation data from various studies, we increased our sample size, significantly enhancing the statistical power for building accurate clocks. These new epigenetic age estimators for cetaceans provide more accurate tools for aiding in conservation efforts of endangered cetaceans.…”
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Multi-scale hydraulic graph neural networks for flood modelling by R. Bentivoglio, E. Isufi, S. N. Jonkman, R. Taormina

“…We further corroborate the mSWE-GNN in a realistic case study in the Netherlands and show generalization capabilities with only one fine-tuning sample, with mean absolute errors of 0.12 m for water depth, a critical success index for a water depth threshold of 0.05 m of 87.68 %, and speed-ups of over 700 times. …”
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CYBERPUNK – GAME – POETRY: Rostislav Amelin’s “SimStab” by Daniil Leiderman, Mark Lipovetsky

“…Like many other cyberpunk texts, “SimStab” explores the conflict between the desire to resist colonization by the pervasive powers dominating contemporary society, and the absolute necessity of willingly colonizing your own body and subjectivity with the products of these powers. …”
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Numerical Simulation of Fractional Zakharov–Kuznetsov Equation for Description of Temporal Discontinuity Using Projected Differential Transform Method by Dianchen Lu, Muhammad Suleman, Jamshaid Ul Rahman, Samad Noeiaghdam, Ghulam Murtaza

“…We execute the suggested iterative procedure on two models and results are presented graphically in the form of surface plot and absolute error is compared with the VIM and HPM to show that the method is more powerful than VIM and HPM and deduce that the offered numerical pattern is more efficient in simulating linear and nonlinear fractional order models.…”
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Advanced MicroCT Analysis of Lacustrine Carbonate Reservoirs for Fluid Flow Simulation by Olga M. O. Araújo, Alessandra Silveira Machado, Davi F. Oliveira, Ricardo Tadeu Lopes

“…  A better and more comprehensive understanding of the internal structure of rocks and developing quantitative methods for their characterization remain significant challenges. MicroCT is a powerful tool for visualizing the internal structure of materials, enabling 3D visualization and quantitative analysis of complex pore networks in a non-destructive manner. …”
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Impact of non-invasive oxygen reserve index versus standard SpO2 monitoring on peripheral oxygen saturation during endotracheal intubation in the intensive care unit: Protocol for... by Hugo Hille, Aurélie Le Thuaut, Pierre Asfar, Quentin Quelven, Emmanuelle Mercier, Anthony Le Meur, Jean-Pierre Quenot, Virginie Lemiale, Grégoire Muller, Martin Cour, Alexis Ferré, Asael Berge, Anaïs Curtiaud, Maxime Touron, Gaetan Plantefeve, Jean-Charles Chakarian, Jean-Damien Ricard, Gwenhael Colin, Arthur Orieux, Patrick Girardie, Mathieu Jozwiak, Manon Rouaud, Camille Juhel, Jean Reignier, Jean-Baptiste Lascarrou, CRICS-TRIGGERSEP Network

“…Assuming a 10% standard deviation for the lowest SpO2 value in the control group, no missing data, and crossover of 5% of patients, with the bilateral alpha risk set at 0.05, including 950 patients will provide 85% power for detecting a 2% between-group absolute difference in the lowest SpO2 value. …”
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Vertical Profile of Wind Diurnal Cycle in the Surface Boundary Layer over the Coast of Cotonou, Benin, under a Convective Atmosphere by Hagninou E. V. Donnou, Aristide B. Akpo, Clément A. Kouchadé, Basile B. Kounouhewa, Guy H. Hounguè, Gbènoukpo F. Nonfodji, Julien Djossou

“…Wind data at 10 m above the ground and the radiosonde data in the lower 60 m of the surface boundary layer were used over the period from January 2013 to December 2016. …”
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Knowledge discovery from database: MRI radiomic features to assess recurrence risk in high-grade meningiomas by Chen Chen, Lifang Hao, Bin Bai, Guijun Zhang

“…The parameters with the best power were Mean, Perc.99%, WavEnLL_s-2, Teta1 and GrVariance.…”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Additionally, our algorithm efficiently utilizes all CPU cores and includes adjustable parameters for balancing computation time and accuracy, making it suitable for a wide range of applications where hardware cost and power efficiency are critical. For instance, with a rotation step of 10° in the template database, we achieve an average rotation error of 10°, matching the template quantization level, and an average translation error of 14% of the object’s size, with an average processing time of 0.3s per image on a small form-factor NVIDIA AGX Orin device. …”
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Carrier Formation Dynamics in Prototypical Organic Solar Cells as Investigated by Transient Absorption Spectroscopy by Yutaka Moritomo, Kouhei Yonezawa, Takeshi Yasuda

“…Subpicosecond transient absorption spectroscopy is a powerful tool used to clarify the exciton and carrier dynamics within the organic solar cells (OSCs). …”
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Apports de l’iconographie sidérale aux problématiques spatiales vidéoludiques : le cas des jeux vidéo horrifiques by Guillaume Baychelier

“…Because of its inherent hostility, Space could be a powerful tool designed to arouse emotions in horror video games. …”
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An analytical investigation of nonlinear time-fractional Schrödinger and coupled Schrödinger–KdV equations by Yogeshwari F. Patel, Mohammad Izadi

“…Numerical examples highlight the method’s ability to closely approximate exact solutions, with graphical and tabular comparisons illustrating the effect of the fractional order on solution behavior and validating the approach through computed absolute errors. Additionally, discussions on the modulation instability of the models reinforce the robustness of FRDTM as a powerful tool for solving complex nonlinear fractional systems.…”
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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…Particularly, the determination of compressive strength of concrete using ground granulated blast furnace slag (GGBFS) is more difficult due to the complexity of the composition mix design. In this paper, an approach using random forest (RF), which is one of the powerful machine learning algorithms, is proposed for predicting the compressive strength of concrete using GGBFS. …”
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Dust Scattering Albedo at Millimeter Wavelengths in the TW Hya Disk by Tomohiro C. Yoshida, Hideko Nomura, Takashi Tsukagoshi, Kiyoaki Doi, Kenji Furuya, Akimasa Kataoka

“…Even without assuming dust composition, we estimate the maximum grain size to be ~340 μ m, the power-law index of the grain size distribution to be >−4.1, and the porosity to be <0.96. …”
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High-resolution mapping of global winter-triticeae crops using a sample-free identification method by Y. Fu, X. Chen, C. Song, X. Huang, J. Dong, Q. Peng, W. Yuan

“…The identified area of winter-triticeae crops was consistent with the agricultural statistical area in almost all the investigated countries or regions, and the correlation coefficient (<span class="inline-formula"><i>R</i>²</span>) between the identified area and the statistical area was over 0.6, while the relative mean absolute error (RMAE) was less than 30 % in all 6 years. …”
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Identification of a 5-Gene-Based Scoring System by WGCNA and LASSO to Predict Prognosis for Rectal Cancer Patients by He Huang, Shilei Xu, Aidong Chen, Fen Li, Jiezhong Wu, Xusheng Tu, Kunpeng Hu

“…A weighted gene coexpression network was used to identify RC-related modules. The least absolute shrinkage and selection operator analysis was performed to screen the prognostic signature panel. …”
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