Consultative dimension in the European Union's multilevel governance process: a lever for regulatory and institutional resilience by TECLEAN Cezar, DRĂGAN Gabriela

“…The specified phenomenon feeds an imperfect subsidiarity and a deficient proximity within the EU, for the remedy of which the feasible solution consists in improving the administrative-legal cohesion in the EU through a potential reconsolidation of the Union treaties, which would generate a more homogeneous distribution of the administrative-territorial devolution.…”
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Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

“…This study explores data-driven alternatives for self-diagnosis and fault detection using Machine Learning techniques, focusing on spacecraft Guidance, Navigation, and Control (GNC) subsystems. A high-fidelity functional engineering simulator is employed to generate realistic datasets from typical onboard signals, including sensor and actuator outputs. …”
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Quantifying avian wing shapes: Evaluating indices, their relationships, and ecological correlates by Jiahui Li, Canwei Xia

“…We then constructed a new quantification framework through the beta distribution, which can generate indices reflecting the shape of avian wings (center, dispersion, skewness, and kurtosis). …”
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PI(4,5)P2 Imaging Using a GFP Reporter in Living Cells by Mariam Alkandari, Christopher McMaster, Mahtab Tavasoli

“…Altered metabolism or mislocalization of PI(4,5)P2 can perturb one or more of its functions and contribute to disease states. …”
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Rolling Bearing Fault Diagnosis via Temporal-Graph Convolutional Fusion by Fan Li, Yunfeng Li, Dongfeng Wang

“…A shared Multi-Layer Perceptron (MLP) then established inter-channel dependencies to generate attention weights, enhancing critical features for more complete fault information extraction. …”
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Surface-Related Multiple Suppression Based on Field-Parameter-Guided Semi-Supervised Learning for Marine Data by Jiao Qi, Siyuan Cao, Zhiyong Wang, Yankai Xu, Qiqi Zhang

“…The USNM is essentially an optimization operator that refines the underlying nonlinear mapping relationship between primaries and full wavefield data using the local wavefield feature loss function, thereby obtaining more accurate prediction results with respect to primaries. …”
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PEGylated Elesclomol@Cu(Ⅱ)-based Metal‒organic framework with effective nanozyme performance and cuproptosis induction efficacy for enhanced PD-L1-based immunotherapy by Xufeng Lu, Wenhai Deng, Shuaibin Wang, Shengsheng Zhao, Bingzi Zhu, Binglong Bai, Yiwen Mao, Ji Lin, Yongdong Yi, Zuoliang Xie, Xiang Wang, Yongyong Lu, Xiufeng Huang, Tao You, Xiaolei Chen, Weijian Sun, Xian Shen

“…The peroxidase (POD)-like activity of ES@Cu(Ⅱ)-MOF generated an abundance of hydroxyl radicals (•OH) via a Fenton-like reaction, and its glutathione peroxidase (GSH-Px)-like activity converted Cu2+ into more toxic Cu+ ions to efficiently consume endogenous GSH. …”
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Energy scavenging from the diurnal cycle with a temperature-doubler circuit and a self-adaptive photonic design by Zhang Zheng, Zhao Xiaodong, Chen Zhen

“…We provide a numerical design of such a self-adaptive absorber/emitter, which, combined with a thermoelectric generator, generate 2.3 times more power than the blackbody emitter in a synthetic “experiment”. …”
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Generalized volume-complexity for Lovelock black holes by Monireh Emami, Shahrokh Parvizi

“…Abstract We study the time dependence of the generalized complexity of Lovelock black holes using the “complexity = anything” conjecture, which expands upon the notion of “complexity = volume” and generates a large class of observables. By applying a specific condition, a more limited class can be chosen, whose time growth is equivalent to a conserved momentum. …”
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BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention by Watshara Shoombuatong, Pakpoom Mookdarsanit, Nalini Schaduangrat, Lawankorn Mookdarsanit

“…Therefore, this study proposes an innovative deep learning-based hybrid framework (termed BGATT-GR) that leverages a data augmentation method, a bidirectional gated recurrent unit (BiGRU), and a self-attention mechanism (ATT) to attain more accurate identification of GR antagonists. In BGATT-GR, we first employed AP2D, CDKExt, KR, Morgan, and RDKIT to extract molecular descriptors of GR antagonists and combined these molecular descriptors to generate multi-view features. …”
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SARS-CoV-2 antibody responses in children exhibit higher FcR engagement and avidity than in adults by Carolyn A. Cohen, Ludivine Grzelak, Susan S. Chiu, David SC Hui, Mike YW Kwan, Owen TY Tsang, Wai Hung Chan, Yat Sun Yau, Kelly WK Lee, Masashi Mori, Gaya K. Amarasinghe, Samuel MS Cheng, Leo LM Poon, Malik Peiris, Sophie A. Valkenburg

“…Adults’ SARS-CoV-2 antibody responses could be derived from high avidity pre-existing cross-reactive common cold coronavirus B cell responses, whilst children appear to generate a de novo SARS-CoV-2- specific Spike and Nucleocapsid IgG with robust Fc receptor (FcR) binding ability and high avidity at a higher proportion than adults, thus their responses are more targeted and functional for SARS-CoV-2.…”
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Microtubule flexibility, microtubule-based nucleation and ROP pattern co-alignment enhance protoxylem microtubule patterning by Bas Jacobs, Marco Saltini, Jaap Molenaar, Laura Filion, Eva E. Deinum

“…The development of the water transporting xylem tissue in plants involves an intricate interplay of Rho-of-Plants (ROP) proteins and cortical microtubules to generate highly functional secondary cell wall patterns, such as the ringed or spiral patterns in early-developing protoxylem. …”
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Single-cell sequencing on PBMCs from patients with HA and HB with inhibitors reveals different immune responses to FVIII and FIX by Enhao Li, Zekun Li, Jinzeng Wang, Haoyang Wu, Yilun Xue, Can Lou, Zhenping Chen, Feng Liu, Wenman Wu, Qiulan Ding, Runhui Wu, Xuefeng Wang, Jing Dai

“…HA group exhibited a relatively higher proportion of B cells and more active B cells, whereas HB group demonstrated a higher proportion of T cells, with more active CD4+ T helper cells. …”
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Bioinformatic Methodologies in Assessing Gut Microbiota by James Douglas Fox, Austin Sims, Morgan Ross, Jeffery Bettag, Alexandra Wilder, Dylan Natrop, Alison Borsotti, Sree Kolli, Shaurya Mehta, Hema Verma, Kento Kurashima, Chandrashekhara Manithody, Arun Verma, Ajay Jain

“…These methodologies involve high-throughput sequencing technologies, such as 16S rRNA gene sequencing and metagenomics, which generate vast amounts of data on microbial diversity and functional potential, as well as whole-genome sequencing, which, while being more costly, has a more expansive potential. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…By eliminating subjective weight factors， MOMDBA provided more accurate and reliable results in both damage identification and parameter optimization. …”
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Exploring Two Modified Ali-Mikhail-Haq Copulas and New Bivariate Logistic Distributions by Christophe Chesneau

“…The second copula offers another modeling option; it is exchangeable like the Ali-Mikhail-Haq copula, but it benefits from a broader range of negative dependence correlations and more adaptable tail dependence properties. For the two proposed copulas, we investigate their main characteristics, including quadrant dependence, copula density function, conditional copulas, couples of value generation, extended variants via standard copula schemes, comprehensive copula orders, and weighted harmonic mean copula transformations. …”
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

“…Then, for the item feature vector, the model dynamically adjusts the weights of Collaborative Filtering (CF) and Knowledge Graph (KG) through the gating mechanism, generating a more expressive item representation. The gating mechanism calculates the gating value through the sigmoid function, allowing user’s behavioral characteristics in different scenarios to more accurately impact item recommendation. …”
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The Application of Interactive Effect Evaluation Model in the Teaching of College Mathematics Courses by Jungang Chen

“…The traditional mathematics teaching only reflects a function of knowledge inheritance, but lacks the function of knowledge innovation. …”
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Structure and distribution of gynaecological diseases for girls and teenage girls in the Zaporizhzhia area by N. V. Avramenko, O. V. Kabachenko, T. O. Tsaruk

“…In recent years the question of gynecological diseases in women and teenage girls becomes more and more relevance. Girls of pubertal age should become mothers of new generation, but the health of adolescents continues to deteriorate. …”
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Deepfake detection method based on patch-wise lighting inconsistency by Wenxuan WU, Wenbo ZHOU, Weiming ZHANG, Nenghai YU

“…The rapid development and widespread dissemination of deepfake techniques has caused increased concern.The malicious application of deepfake techniques also poses a potential threat to the society.Therefore, how to detect deepfake content has become a popular research topic.Most of the previous deepfake detection algorithms focused on capturing subtle forgery traces at pixel level and have achieved some results.However, most of the deepfake algorithms ignore the lighting information before and after generation, resulting in some lighting inconsistency between the original face and the forged face, which provided the possibility of using lighting inconsistency to detect deepfake.A corresponding algorithm was designed from two perspectives: introducing lighting inconsistency information and designing a network structure module for a specific task.For the introduction of lighting task, a new network structure was derived by designing the corresponding channel fusion method to provide more lighting inconsistency information to the network feature extraction layer.In order to ensure the portability of the network structure, the process of feature channel fusion was placed before the network extraction information, so that the proposed method can be fully planted to common deepfake detection networks.For the design of the network structure, a deepfake detection method was proposed for lighting inconsistency based on patch-similarity from two perspectives: network structure and loss function design.For the network structure, based on the characteristic of inconsistency between the forged image tampering region and the background region, the extracted features were chunked in the network feature layer and the feature layer similarity matrix was obtained by comparing the patch-wise cosine similarity to make the network focus more on the lighting inconsistency.On this basis, based on the feature layer similarity matching scheme, an independent ground truth and loss function was designed for this task in a targeted manner by comparing the input image with the untampered image of this image for patch-wise authenticity.It is demonstrated experimentally that the accuracy of the proposed method is significantly improved for deepfake detection compared with the baseline method.…”
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