The Ultimate Evaluation of Current Consumption and QoS Metrics in 5G Mobile Networks Over IP Multimedia Subsystem (IMS) by Jussif Junior Abularach Arnez, Walmir Acioli E. Silva, Wederson Medeiros Silva, Ana Flavia de Oliveira Ribeiro, Janislley Oliveira de Sousa

“…We investigated the current consumption and QoS within 5G mobile networks, leveraging the IP Multimedia Subsystem (IMS) for Voice over New Radio (VoNR) and 5G Voice over Long-Term-Evolution using Dual-Connectivity feature (5G VoLTE). …”
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Identification of a novel splice variant form of the influenza A virus M2 ion channel with an antigenically distinct ectodomain. by Helen M Wise, Edward C Hutchinson, Brett W Jagger, Amanda D Stuart, Zi H Kang, Nicole Robb, Louis M Schwartzman, John C Kash, Ervin Fodor, Andrew E Firth, Julia R Gog, Jeffery K Taubenberger, Paul Digard

“…We also show that the expression of two distinct ion channel proteins is not unique to laboratory-adapted viruses but, most notably, was also a feature of the 1983 North American outbreak of H5N2 highly pathogenic avian influenza virus. …”
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Linear Perturbations of the Bloch Type of Space-Periodic Magnetohydrodynamic Steady States. II. Numerical Results by Chertovskih R, Zheligovsky V

“…Computations have revealed that the Bloch modes, whose growth rates are maximum over q, feature the scale ratio that decreases on increasing the nondimensionalized molecular diffusivity and/or viscosity from 0.03 to 0.3, and the scale separation is high (i.e., |q| is small) only for large molecular diffusivities. …”
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tRNA regulation and amino acid usage bias reflect a coordinated metabolic adaptation in Plasmodium falciparum by Qian Li, Leonie Vetter, Ylva Veith, Elena Christ, Ákos Végvári, Cagla Sahin, Ulf Ribacke, Mats Wahlgren, Johan Ankarklev, Ola Larsson, Sherwin Chun-Leung Chan

“…Summary: An adaptive feature of malaria-causing parasites is the digestion of host hemoglobin (HB) to acquire amino acids (AAs). …”
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A metaheuristic optimization-based approach for accurate prediction and classification of knee osteoarthritis by Amal G. Diab, El-Sayed M. El-Kenawy, Nihal F. F. Areed, Hanan M. Amer, Mervat El-Seddek

“…The numeral of extracted features was reduced for identifying the most appropriate feature attributes for the disease. …”
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Heterogeneity of Ecosystem Service Interactions Through Scale Effects and Time Effects and Their Social-Ecological Determinants in the Tuo River Basin by Simin He, Yusong Xie, Jing Zhang, Yanyun Luo, Qianna Wang

“…Currently, a major challenge lies in precisely evaluating trade-offs and synergies among ESs across different spatial and temporal scales, particularly in capturing their dynamic evolution and determinants. This study focuses on the Tuo River Basin in China, quantifying four key ESs, namely, habitat quality (HQ), nitrogen export (NE), soil conservation (SC), and water yield (WY), and assessing their interactions from 2000 to 2020 at both grid and county scales. …”
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Enhancing homogenous precipitation and strengthening effectiveness in AlCuMg alloy by W. Chrominski, E. Christiansen, E. Choinska, R. Holmestad, M. Lewandowska

“…It was found that the evolution of GPB zones and further phases vary depending on the pre-ageing history. …”
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Transformation of the Regional Policy of Russia and China under the Conditions of Unequal Development of Regions (1980-2020): a Comparative Historical Study by S. B. Makeeva

“…The purpose of this article is a comparative and consideration of the evolution of the regional policy of Russia and China in the context of the increasing unevenness and disproportionality of the internal regional development of the two countries in the modern period of history. …”
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RaDiT: A Differential Transformer-Based Hybrid Deep Learning Model for Radar Echo Extrapolation by Wenda Zhu, Zhenyu Lu, Yuan Zhang, Ziqi Zhao, Bingjian Lu, Ruiyi Li

“…Radar echo extrapolation, a critical spatiotemporal sequence forecasting task, requires precise modeling of motion trajectories and intensity evolution from sequential radar reflectivity inputs. …”
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Large first hyperpolarizability of the Au@Ag core-shell nanoparticles as compared to the corresponding alloyed nanoparticles resulting from laser annealing by Isabelle Russier-Antoine, Christian Jonin, Emmanuel Benichou, Franck Bertorelle, Pierre-François Brevet

“…It is observed that the evolution with the relative molar ratio between gold and silver of the first hyperpolarizability magnitude of both the Aux@Ag100-x core-shell and the alloyed AuxAg100-x nanoparticles is driven by the SPR resonance enhancement occurring at the harmonic wavelength due to red shifting of the SPR band away from the harmonic wavelength. …”
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Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking by Gang Yu, Shuang Zhang, Min Hu, Y. Ken Wang

“…This paper (1) establishes an MTSS prediction model with heterogeneous stacking of eXtreme gradient boosting (XGBoost), the artificial neural network (ANN), random forest (RF), ridge regression, and support vector regression (SVR) component learners after exploratory data analysis (EDA); (2) proposes a method based on multiple time series feature extraction to accurately predict the pavement performance change trend, using the highway segment as the minimum computing unit and considering multiple factors; (3) uses grid search with the k-fold cross validation method to optimize hyperparameters to ensure the robustness, stability, and generalization ability of the prediction model; and (4) constructs a digital twin for pavement performance prediction to realize the real-time dynamic evolution of prediction. …”
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The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques by Genevieve Jiawei Moat, Maxime Gaudet-Trafit, Julian Paul, Jaume Bacardit, Suliann Ben Hamed, Colline Poirier

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Temporal Community Detection and Analysis with Network Embeddings by Limengzi Yuan, Xuanming Zhang, Yuxian Ke, Zhexuan Lu, Xiaoming Li, Changzheng Liu

“…Our method innovatively integrates community structure into network embedding, preserving both microscopic details and community-level information in node representations while effectively capturing the evolutionary dynamics of networks. A distinctive feature of TCDA-NE is its utilization of a common-neighbor similarity matrix, which significantly enhances the algorithm’s ability to identify meaningful community structures in temporal networks. …”
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Seasonal dynamics of hiking activities in mountainous areas: a topography-aware sequential network modeling approach using crowdsourced trajectories by Jiyuan Li, Xiao Feng, Tao Li, Xiping Yang, Weihang Jing, Xiaoshu Cao

“…The paper proposes a topography-aware sequential network model that accounts for terrain resistance and incorporates behaviorally significant feature points, enabling detailed analysis of seasonal dynamics in hiker movement patterns on informal trails in mountainous areas. …”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…However, the long-term spatio-temporal evolution of green visibility and equity remains underexplored. …”
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Sub-telomere directed gene expression during initiation of invasive aspergillosis. by Andrew McDonagh, Natalie D Fedorova, Jonathan Crabtree, Yan Yu, Stanley Kim, Dan Chen, Omar Loss, Timothy Cairns, Gustavo Goldman, Darius Armstrong-James, Ken Haynes, Hubertus Haas, Markus Schrettl, Gregory May, William C Nierman, Elaine Bignell

“…This first transcriptional snapshot of a fungal genome during initiation of mammalian infection provides the global perspective required to direct much-needed diagnostic and therapeutic strategies and reveals genome organisation and subtelomeric diversity as potential driving forces in the evolution of pathogenicity in the genus Aspergillus.…”
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YOLO-SCNet: A Framework for Enhanced Detection of Small Lunar Craters by Wei Zuo, Xingye Gao, Di Wu, Jiaqian Liu, Xingguo Zeng, Chunlai Li

“…The study of impact craters is crucial for understanding planetary evolution and geological processes, particularly small craters, which are key to reconstructing the lunar impact history. …”
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Developing Explainable Artificial Intelligence Models for Space Science Applications by Ambuj Kumar Agarwal, Rajat Bhardwaj, Gyanendra Tiwary, Abeer A. Aljohani, Ruchi Kawatra, Abhijit Das

“…In the background, this paper explores the evolution of AI in space science and the emergence of XAI as a critical field. …”
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Predictive modeling of hydrogen production and methane conversion from biomass-derived methane using machine learning and optimisation techniques by Adegboyega Bolu Ehinmowo, Bright Ikechukwu Nwaneri, Joseph Oluwatobi Olaide

“…In this study, the integration of various machine learning algorithms with Bayesian optimisation, firefly algorithm, Levenberg-Marquardt, and differential evolution techniques were investigated for hydrogen production via thermocatalytic methane decomposition. …”
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Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine Learning by Chunguang Bi, Xinhua Bi, Jinjing Liu, He Chen, Mohan Wang, Helong Yu, Shaozhong Song

“…Subsequently, LF-NMR features and image morphological data were integrated to construct a classification model and the SVM hyperparameters were optimized using an improved differential evolution algorithm, achieving a final classification accuracy of 96.36%, which demonstrated strong robustness and precision. …”
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